Literature DB >> 31738769

AMPK regulates ESCRT-dependent microautophagy of proteasomes concomitant with proteasome storage granule assembly during glucose starvation.

Jianhui Li1, Michal Breker2, Morven Graham3, Maya Schuldiner2, Mark Hochstrasser1,4.   

Abstract

The ubiquitin-proteasome system regulates numerous cellular processes and is central to protein homeostasis. In proliferating yeast and many mammalian cells, proteasomes are highly enriched in the nucleus. In carbon-starved yeast, proteasomes migrate to the cytoplasm and collect in proteasome storage granules (PSGs). PSGs dissolve and proteasomes return to the nucleus within minutes of glucose refeeding. The mechanisms by which cells regulate proteasome homeostasis under these conditions remain largely unknown. Here we show that AMP-activated protein kinase (AMPK) together with endosomal sorting complexes required for transport (ESCRTs) drive a glucose starvation-dependent microautophagy pathway that preferentially sorts aberrant proteasomes into the vacuole, thereby biasing accumulation of functional proteasomes in PSGs. The proteasome core particle (CP) and regulatory particle (RP) are regulated differently. Without AMPK, the insoluble protein deposit (IPOD) serves as an alternative site that specifically sequesters CP aggregates. Our findings reveal a novel AMPK-controlled ESCRT-mediated microautophagy mechanism in the regulation of proteasome trafficking and homeostasis under carbon starvation.

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Year:  2019        PMID: 31738769      PMCID: PMC6886873          DOI: 10.1371/journal.pgen.1008387

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


Introduction

The ubiquitin-proteasome system (UPS) is a conserved proteolytic system responsible for the highly selective degradation of cellular proteins. Conjugation of ubiquitin to substrates targets them to the proteasome for degradation [1, 2]. The 26S proteasome comprises a 20S core particle (CP) with a 19S regulatory particle (RP) on one or both ends of the CP [1]. In the CP, four stacked rings are assembled from different β-subunits (β1-β7) and α-subunits (α1-α7). The RP is assembled from two multisubunit subcomplexes termed the base and lid [1]. The RP is responsible for substrate binding, deubiquitylation, unfolding, and translocation [1, 3–5]. The UPS accounts for ~80–90% of cellular proteolysis under normal growth conditions, and therefore, alterations in proteasome activity have a major impact on protein homeostasis (“proteostasis”) [6, 7]. For instance, the age-related decline of proteostasis can be compensated by increasing proteasome activity, while cancer cell growth can be limited by inhibiting proteasome activity [8-10]. One way to regulate the availability of proteasomes is by formation of Proteasome Storage Granules (PSGs), which are membraneless cytoplasmic structures that collect proteasomes during specific stresses. PSGs most likely serve as an adaptive mechanism to regulate proteasome activity [11, 12]. Multiple factors have been reported to be relevant to the assembly and disassembly of PSGs, including carbon starvation [13], intracellular pH [14], protein N-α-acetylation [11], Blm10 [15], and the integrity of certain proteasome lid subunits [12, 16, 17]. Nevertheless, relatively little is known about how proteasome nucleocytoplasmic trafficking and homeostasis are regulated, particularly during carbon starvation. Autophagy is another major means of degrading cellular components, which protects cells from damaged proteins and organelles and promotes cell survival under various stresses, such as starvation, oxidative stress, protein aggregation, and ER stress. The cellular components of macroautophagy have been extensively studied in yeast and assigned roles in selective or nonselective macroautophagy or both [18]. All forms of macroautophagy share a common set of core autophagy (Atg) proteins that are involved in autophagosome initiation and formation [19]. Other Atg factors are required for specific types of selective macroautophagy [18]. Atg17 is required only for nonselective macroautophagy [20]. In comparison to macroautophagy, microautophagy is poorly understood [21]. Recently, endosomal sorting complexes required for transport (ESCRT)- and clathrin-dependent microautophagy has been described in yeast undergoing diauxic shift; the substrate protein followed in this study was the transmembrane vacuolar protein Vph1 [22]. The ESCRT machinery is an ancient system for membrane remodeling and scission; in eukaryotes it includes five distinct subcomplexes: ESCRT-0, I, II, III, and the AAA ATPase Vps4 [23]. The ESCRT pathway drives diverse cellular processes, such as multivesicular body (MVB) formation, nuclear pore complex (NPC) quality control, virus budding, viral replication-complex assembly, macroautophagy, and microautophagy [23, 24]. How the ESCRT machinery is activated and regulated in microautophagy, however, is unclear. Proteasome homeostasis involves a balance between proteasome assembly and degradation. Normally, proteasomes are very stable entities within the cell [25], but their degradation by autophagy is induced under certain conditions. Proteasome degradation by macroautophagy (“proteaphagy”) occurs in response to nitrogen starvation and has been described in yeast, plants, and mammals [26-30]. A recent study reported that PSGs protect proteasomes from autophagic degradation during carbon starvation [31], suggesting a physiological connection between PSGs and autophagy. It is unknown how the partitioning of proteasomes between assembling PSGs in the cytoplasm and proteolysis in the vacuole is regulated. AMP-activated protein kinase (AMPK) is a highly conserved regulator of energy homeostasis in eukaryotes. The AMPK heterotrimeric complex is composed of a catalytic α subunit (called Snf1 in S. cerevisiae) and two regulatory subunits: a β subunit (Sip1, Sip2, or Gal83) and a γ subunit (Snf4) [32]. The AMPK pathway is activated when energy stores are depleted, which modulates the switch from fermentation to respiration in yeast [32, 33]. Moreover, AMPK coordinates a wide range of cellular processes, such as cell growth, autophagy, metabolism, cell polarity, and cytoskeletal dynamics [34]. In this study, we demonstrate that AMPK, the ESCRT machinery, and the insoluble protein deposit (IPOD) function together in the regulation of proteasome trafficking and degradation under glucose starvation. Cells utilize AMPK- and ESCRT-dependent microautophagy to clear aberrant proteasomes through vacuolar proteolysis under these conditions and thus safeguard reversible PSG assembly and the maintenance of functional proteasomes during glucose starvation. Our cytological data suggest very high levels of microautophagy can occur under these conditions. We find that proteasomes dissociate into CP and RP complexes that are regulated through distinct trafficking mechanisms during glucose starvation. Furthermore, apparently irreversible CP aggregates accumulate if AMPK is inactivated and cells are carbon starved. In such mutants, CP aggregates concentrate in the IPOD compartment. These findings reveal the convergence of multiple cellular pathways that maintain proteasome homeostasis during changes in nutrient availability.

Results

A high-content screen for defects in PSG dynamics identifies AMPK and ESCRT proteins

We set out to identify factors that are involved in PSG dissipation and nuclear reimport of proteasomes upon glucose refeeding. To this end, we screened a ~5,000-strain yeast library where each strain had an integrated RPN5-GFP allele and a different gene deletion from the yeast gene deletion library [35] created by synthetic genetic array (SGA) methodology [14, 36]. Each strain was imaged on a high-throughput fluorescence microscopy platform [37]. The screen identified 198 potential hits (S1 Table), with multiple hits from two conserved cellular machineries, AMPK and the ESCRT machinery. The hits included two subunits of the AMPK heterotrimeric complex (Snf1 and Snf4) and multiple constituents of the ESCRT pathway (ESCRT-0 [Vps27], ESCRT-II [Vps25], ESCRT-III [Did2, Vps2/Did4, Vps24], and the AAA ATPase Vps4). Notably, Snf1 and Vps24 were also identified in a previous high-content screen for PSG formation but were not pursued further [38]. To validate the candidates from the AMPK and ESCRT complexes, we added an mCherry (mC) tag at the C-terminus of three individual proteasome subunits: Pre1-mC (a CP subunit, β4), Rpn2-mC (a base subunit), and Rpn5-mC (a lid subunit), and we then introduced the corresponding genes into yeast strains also expressing a nuclear envelope marker, Nup49-GFP, but lacking individual candidate genes. In wild-type (WT) cells under glucose starvation, all of these tagged proteasomes localized to the cytoplasm and assembled into bright, round PSGs with dark cytoplasmic backgrounds (Fig 1A). The PSGs rapidly dissolved and proteasomes were reimported into the nucleus in ~90% of cells within 15–20 min after 2% glucose addition (Fig 1B and 1E). These observations are consistent with the original report on PSG formation and dissipation in yeast cells [13].
Fig 1

AMPK and ESCRT proteins are required for reversible PSG assembly under glucose starvation.

(A) Epifluorescence microscopy images of Pre1-mC (mCherry) (a CP subunit, β4), Rpn2-mC (a base subunit), and Rpn5-mC (a lid subunit) in WT and ESCRT-defective mutant cells (vps27Δ and vps4Δ) during low glucose starvation. PSG assembly is largely disrupted in the mutants. (B) Confocal microscopy images of Pre1-mC in the ESCRT mutant cells after glucose recovery at the indicated time points. Defective nuclear reimport of proteasomes was also observed in the ESCRT mutants. (C) Epifluorescence images of Pre1-mC, Rpn2-mC, and Rpn5-mC in AMPK-defective cells (snf4Δ and snf1Δ) under low glucose. PSGs observed in AMPK mutants were comparable to those in WT cells. (D) Confocal images of Pre1-mC in the AMPK mutant cells after glucose recovery at the indicated time points. The PSGs in AMPK mutant cells failed to dissipate upon glucose refeeding. (E) Percentage of cells with PSGs visualized with Pre1-mC, Rpn2-mC, and Rpn5-mC in WT and AMPK mutant (snf4Δ) cells under low glucose and after 15 min glucose recovery. Cells counted in WT: Pre1-mC (263 in low glucose, 350 after glucose recovery), Rpn2-mC (389, 392), Rpn5-mC (349, 356) and snf4Δ: Pre1-mC (243, 317), Rpn2-mC (312, 247), Rpn5-mC (321, 227). Results plotted as mean±sd. ***, P<0.001 (ANOVA single factor analysis comparing snf4Δ to WT). (F) Cryo-immunogold electron micrographs of PSGs in the WT and AMPK mutant cells during glucose starvation. Cells were immunolabeled with anti-CP primary antibody and 10-nm Protein A-gold-bead-conjugated secondary antibody. Nuc: nucleus; Cyto: cytoplasm. Cells were harvested from cultures grown in SC medium containing 0.025% glucose for ~4 days at 30°C in panels (A), (C), and (F). White arrowheads point to PSGs in panels (A) and (C). Scale bars, 5 μm in panels (A) and (C). In panels (B) and (D), the times indicate when the images were taken after glucose add-back; Nup49-GFP served as a nuclear envelope marker; white dotted circles indicate the approximate outlines of cells. The line charts quantify signal intensity of Pre1-mC in the indicated white line across the nucleus after glucose add-back.

AMPK and ESCRT proteins are required for reversible PSG assembly under glucose starvation.

(A) Epifluorescence microscopy images of Pre1-mC (mCherry) (a CP subunit, β4), Rpn2-mC (a base subunit), and Rpn5-mC (a lid subunit) in WT and ESCRT-defective mutant cells (vps27Δ and vps4Δ) during low glucose starvation. PSG assembly is largely disrupted in the mutants. (B) Confocal microscopy images of Pre1-mC in the ESCRT mutant cells after glucose recovery at the indicated time points. Defective nuclear reimport of proteasomes was also observed in the ESCRT mutants. (C) Epifluorescence images of Pre1-mC, Rpn2-mC, and Rpn5-mC in AMPK-defective cells (snf4Δ and snf1Δ) under low glucose. PSGs observed in AMPK mutants were comparable to those in WT cells. (D) Confocal images of Pre1-mC in the AMPK mutant cells after glucose recovery at the indicated time points. The PSGs in AMPK mutant cells failed to dissipate upon glucose refeeding. (E) Percentage of cells with PSGs visualized with Pre1-mC, Rpn2-mC, and Rpn5-mC in WT and AMPK mutant (snf4Δ) cells under low glucose and after 15 min glucose recovery. Cells counted in WT: Pre1-mC (263 in low glucose, 350 after glucose recovery), Rpn2-mC (389, 392), Rpn5-mC (349, 356) and snf4Δ: Pre1-mC (243, 317), Rpn2-mC (312, 247), Rpn5-mC (321, 227). Results plotted as mean±sd. ***, P<0.001 (ANOVA single factor analysis comparing snf4Δ to WT). (F) Cryo-immunogold electron micrographs of PSGs in the WT and AMPK mutant cells during glucose starvation. Cells were immunolabeled with anti-CP primary antibody and 10-nm Protein A-gold-bead-conjugated secondary antibody. Nuc: nucleus; Cyto: cytoplasm. Cells were harvested from cultures grown in SC medium containing 0.025% glucose for ~4 days at 30°C in panels (A), (C), and (F). White arrowheads point to PSGs in panels (A) and (C). Scale bars, 5 μm in panels (A) and (C). In panels (B) and (D), the times indicate when the images were taken after glucose add-back; Nup49-GFP served as a nuclear envelope marker; white dotted circles indicate the approximate outlines of cells. The line charts quantify signal intensity of Pre1-mC in the indicated white line across the nucleus after glucose add-back. By contrast, cells with mutations in the ESCRT machinery displayed a mixture of diffuse cytoplasmic proteasomes and proteasome granules under glucose starvation conditions (Fig 1A and S1A Fig). Upon glucose refeeding, the mutants also showed defective proteasome granule dissipation and nuclear reimport of proteasomes, as predicted from the original screen (Fig 1B and S1B Fig). These findings suggest that the ESCRT machinery is involved in PSG assembly during glucose starvation and that normal PSG assembly is a prerequisite for efficient PSG dissipation and nuclear reimport of proteasomes upon glucose restoration. In AMPK mutant cells lacking either SNF4 or SNF1, PSGs similar to those in WT cells were observed by fluorescence microscopy (Fig 1C). This was also evident from immunogold electron microscopy. PSGs of similar size (~500 nm dia.) were observed in WT and the AMPK mutant cells that had been immunogold-labeled with anti-CP antibody (Fig 1F). However, PSG disassembly and nuclear reimport of proteasomes were defective in the AMPK mutants (Fig 1D and 1E), suggesting that PSG dissipation requires AMPK pathway signaling. Collectively, these results suggest that AMPK and the ESCRT machinery are both required for reversible PSG formation during glucose starvation and refeeding but likely for different steps.

Proteasome macroautophagy requires the ESCRT pathway but not AMPK during nitrogen starvation

Prior work showed that AMPK plays a direct role in promoting macroautophagy in mammalian cells in response to energy deprivation [39, 40], while the ESCRT machinery has roles in multiple autophagic pathways [41]. Proteasome degradation by macroautophagy is induced by nitrogen starvation in yeast cells [26-28], and a recent study reported that PSGs protect proteasomes from autophagic degradation during carbon starvation [31]. Given these interconnections, we checked whether mutations in AMPK and ESCRT factors affected proteasome macroautophagy during nitrogen starvation by using a GFP-release immunoblot assay [28]. GFP fusion proteins delivered to the vacuole by macroautophagy are hydrolyzed by vacuolar proteases, but the GFP moiety itself is more resistant to cleavage. We assessed GFP “release” in nitrogen-starved cells expressing Pre10-GFP (a CP subunit, α7), Rpn5-GFP, or Rpn2-GFP. GFP release from all three fusions was strongly inhibited in yeast strains lacking components of the ESCRT machinery, including ESCRT-0 (Vps27), ESCRT-I (Vps28 and Vp37), ESCRT-II (Vps25), ESCRT-III (Snf7), and the Vps4 ATPase, when compared to that in WT cells (Fig 2A). The one exception was the comparable amount of free GFP release from Pre10-GFP in vps4Δ cells. This finding suggests that CP macroautophagy is independent of Vps4, while RP macroautophagy requires the complete ESCRT pathway. This is also consistent with proteasomes disassembling into CP and RP complexes before their trafficking to the vacuole for degradation during nitrogen starvation. By contrast, a similar amount of free GFP release from Pre10-GFP, Rpn5-GFP, and Rpn2-GFP was detected in WT, snf4Δ, and snf1Δ cells (Fig 2A), indicating AMPK is not essential for macroautophagy of proteasomes during nitrogen starvation.
Fig 2

Proteasome macroautophagy requires the ESCRT machinery but not AMPK under nitrogen starvation.

(A) Immunoblot analyses of Pre10-GFP (a CP subunit, α7), Rpn5-GFP, and Rpn2-GFP in WT, ESCRT mutant (vps27Δ, vps28Δ, vps37Δ, vps25Δ, snf7Δ, vps4Δ), and AMPK mutant (snf4Δ, snf1Δ) cells cultured in nitrogen starvation medium (-N) for ~1 day at 30°C. JL-8 monoclonal anti-GFP antibody was used to detect full-length proteasome subunit fusions and free GFP. Pgk1 served as a loading control. (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and ESCRT mutant (vps27Δ and vps4Δ) cells from panel (A). GFP-tagged proteasome signals were observed in the vacuole lumen in WT cells but adjacent to the vacuolar membrane (marked with dotted white line) in vps27Δ and vps4Δ cells under nitrogen starvation, with the exception that Pre10-GFP was observed in the vacuole lumen in vps4Δ cells. BF: bright field. V: vacuole. 4×: 4× enlargement of the squared regions in cells. Scale bar, 5 μm. Representative blots and images are shown. (C) Quantification of cells with defective proteasome trafficking to the vacuole in WT and mutant cells. The number of cells analyzed (for Pre10-GFP, Rpn5-GFP, Rpn2-GFP) were as follows: WT (226, 216, 338), vps27Δ (228, 256, 275), vps28Δ (327, 276, 232), vps25Δ (239, 236, 351), snf7Δ (209, 230, 226), vps4Δ (306, 288, 218), snf4Δ (259, 218, 318), and snf1Δ (255, 256, 356). Results plotted as mean±sd. *, P<0.05 (ANOVA single factor analysis comparing ESCRT mutants to WT).

Proteasome macroautophagy requires the ESCRT machinery but not AMPK under nitrogen starvation.

(A) Immunoblot analyses of Pre10-GFP (a CP subunit, α7), Rpn5-GFP, and Rpn2-GFP in WT, ESCRT mutant (vps27Δ, vps28Δ, vps37Δ, vps25Δ, snf7Δ, vps4Δ), and AMPK mutant (snf4Δ, snf1Δ) cells cultured in nitrogen starvation medium (-N) for ~1 day at 30°C. JL-8 monoclonal anti-GFP antibody was used to detect full-length proteasome subunit fusions and free GFP. Pgk1 served as a loading control. (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and ESCRT mutant (vps27Δ and vps4Δ) cells from panel (A). GFP-tagged proteasome signals were observed in the vacuole lumen in WT cells but adjacent to the vacuolar membrane (marked with dotted white line) in vps27Δ and vps4Δ cells under nitrogen starvation, with the exception that Pre10-GFP was observed in the vacuole lumen in vps4Δ cells. BF: bright field. V: vacuole. 4×: 4× enlargement of the squared regions in cells. Scale bar, 5 μm. Representative blots and images are shown. (C) Quantification of cells with defective proteasome trafficking to the vacuole in WT and mutant cells. The number of cells analyzed (for Pre10-GFP, Rpn5-GFP, Rpn2-GFP) were as follows: WT (226, 216, 338), vps27Δ (228, 256, 275), vps28Δ (327, 276, 232), vps25Δ (239, 236, 351), snf7Δ (209, 230, 226), vps4Δ (306, 288, 218), snf4Δ (259, 218, 318), and snf1Δ (255, 256, 356). Results plotted as mean±sd. *, P<0.05 (ANOVA single factor analysis comparing ESCRT mutants to WT). We also checked the subcellular localization of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in nitrogen-starved ESCRT and AMPK mutants by fluorescence microscopy. Proteasomes were found in the vacuole in WT, snf4Δ, and snf1Δ cells, but they were mostly adjacent to the vacuolar membrane in ESCRT mutants with the exception that Pre10-GFP was found in the vacuole lumen in vps4Δ cells (Fig 2B and 2C, S2A Fig). These localization data were consistent with the GFP immunoblot analysis (Fig 2A), indicating the ESCRT machinery is involved in proteasome trafficking to the vacuole during nitrogen starvation. Considering the role of the ESCRT machinery in sorting cargos to the lumen of MVBs, we propose that the ESCRT pathway is involved in sorting a fraction of proteasomes to the vacuole for degradation under these conditions.

AMPK and ESCRT linked to proteasome subunit cleavage during glucose starvation

Autophagy is induced in cells when they are subjected to carbon-free starvation following pre-growth in various carbon sources with the notable exception of glucose [42]. Interestingly, autophagy is induced in cells pre-grown in glucose if they are transferred to low glucose (such as 0.05% glucose) medium rather than glucose-free medium [42]. The glucose starvation medium we used for PSG induction contained 0.025% glucose, so our protocol also likely induced autophagy. Therefore, we assessed proteasome autophagy and whether it was affected in AMPK and ESCRT mutants under our conditions. We set up two glucose starvation regimens, culturing cells in either 0.025% glucose (“0.025% C” in figures) or glucose-free medium (“-C”). We found that in WT cells, proteasome subunit cleavage, specifically of the Pre10-GFP, Rpn5-GFP, and Rpn2-GFP subunits, was more prominent under low glucose compared to glucose-free conditions (compare WT lanes in top and bottom panels in Fig 3A). Protein fragments larger than free GFP were seen during carbon starvation, unlike what is observed during nitrogen starvation. Why these larger fragments accumulate is unknown but serves as a useful signature for proteasome degradation under carbon limitation.
Fig 3

AMPK and ESCRTs are required for proteasome fragmentation under glucose starvation.

(A) Anti-GFP immunoblot analyses of free GFP release and proteasome fragmentation of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and ESCRT mutants (vps27Δ, vps28Δ, vps37Δ, vps25Δ, snf7Δ, vps4Δ) and AMPK mutants (snf4Δ, snf1Δ) under glucose starvation. Cells were harvested from cultures in SC medium containing 0.025% glucose (0.025% C) or lacking glucose (-C) for ~4 days at 30°C. Low glucose conditions induced more proteasome fragmentation than did glucose-free starvation. (B) Confocal images of Pre1-mC, Rpn5-mC, and Rpn2-mC in an ESCRT-defective mutant (vps4Δ) and an AMPK-ESCRT double mutant (snf1Δ vps4Δ) expressing the vacuolar membrane marker Vph1-GFP. Cells were harvested from cultures in SC medium containing 0.025% glucose for ~1 day at 30°C. White arrowheads point to proteasomes that were blocked at apparent class E compartments. Scale bars, 2 μm. (C) Percentage of living cells with colocalized proteasome subunits and Vph1-GFP in vps4Δ and snf1Δ vps4Δ cells from panel (B). Cells counted in vps4Δ: Pre1-mC (226), Rpn5-mC (252), Rpn2-mC (253) and snf1Δ vps4Δ: Pre1-mC (270), Rpn5-mC (280), Rpn2-mC (264). Results plotted as mean±sd. **, P<0.01 (ANOVA single factor analysis comparing snf1Δ vps4Δ to vps4Δ).

AMPK and ESCRTs are required for proteasome fragmentation under glucose starvation.

(A) Anti-GFP immunoblot analyses of free GFP release and proteasome fragmentation of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and ESCRT mutants (vps27Δ, vps28Δ, vps37Δ, vps25Δ, snf7Δ, vps4Δ) and AMPK mutants (snf4Δ, snf1Δ) under glucose starvation. Cells were harvested from cultures in SC medium containing 0.025% glucose (0.025% C) or lacking glucose (-C) for ~4 days at 30°C. Low glucose conditions induced more proteasome fragmentation than did glucose-free starvation. (B) Confocal images of Pre1-mC, Rpn5-mC, and Rpn2-mC in an ESCRT-defective mutant (vps4Δ) and an AMPK-ESCRT double mutant (snf1Δ vps4Δ) expressing the vacuolar membrane marker Vph1-GFP. Cells were harvested from cultures in SC medium containing 0.025% glucose for ~1 day at 30°C. White arrowheads point to proteasomes that were blocked at apparent class E compartments. Scale bars, 2 μm. (C) Percentage of living cells with colocalized proteasome subunits and Vph1-GFP in vps4Δ and snf1Δ vps4Δ cells from panel (B). Cells counted in vps4Δ: Pre1-mC (226), Rpn5-mC (252), Rpn2-mC (253) and snf1Δ vps4Δ: Pre1-mC (270), Rpn5-mC (280), Rpn2-mC (264). Results plotted as mean±sd. **, P<0.01 (ANOVA single factor analysis comparing snf1Δ vps4Δ to vps4Δ). Cleavage into these larger GFP-tagged fragments was inhibited in almost all the ESCRT mutants. Interestingly, only a minor defect was observed in vps37Δ cells, which affects ESCRT-I, whereas a much stronger defect occurred in vps28Δ, which alters another ESCRT-I component. This suggests ESCRT-I activity in proteasome degradation might be distinct from its action in the MVB pathway. Proteasome subunit cleavages were nearly completely abolished in the AMPK mutants (Fig 3A). These observations suggest AMPK plays a critical role in the regulation of proteasome degradation under low glucose conditions and implicate the ESCRT machinery as well. Considering that proteasomes accumulated adjacent to the vacuolar membrane in ESCRT mutants under nitrogen starvation (Fig 2B and 2C, S2A Fig), we tested if they were at similar cellular sites in these mutants during glucose starvation. These could represent the aberrant stacked membranes called class E compartments in ESCRT mutants, such as those lacking VPS4 [43]. We examined the localization of Pre1-mC, Rpn5-mC, and Rpn2-mC in vps4Δ cells expressing a vacuolar membrane protein marker, Vph1-GFP, in low glucose conditions. In addition to the diffusely localized proteasomes and proteasome granules in the cytoplasm, proteasomes colocalized with Vph1-GFP at class E-like compartments in ~42–51% of vps4Δ cells based on confocal microscopy (Fig 3B and 3C). Similar juxta-vacuolar localization of proteasomes was also found in other ESCRT mutants, although lower perivacuolar proteasome accumulation and milder effects on PSG formation and dissipation were observed in vps37Δ cells (S2B and S2C Fig). Interestingly, the colocalization between proteasomes and Vph1-GFP dropped to ~17–21% of cells in a snf1Δ vps4Δ double mutant (Fig 3B and 3C). These data suggest the ESCRT machinery promotes AMPK-regulated proteasome sorting from the cytoplasm into the vacuole during glucose starvation.

AMPK regulates IPOD association of CP-containing PSGs in glucose-starved cells

The perivacuolar IPOD compartment serves as a cellular protein quality control site by sequestering misfolded cytosolic proteins [44]. It also participates in proteasome quality control by distinguishing aberrant proteasomal subunits from normal ones during PSG formation [17]. To investigate whether the apparently irreversible proteasome aggregates that form in AMPK mutants are associated with the IPOD, we combined a gene encoding the IPOD marker Hsp42-GFP with snf4Δ or snf1Δ in strains also expressing Pre1-mC, Rpn2-mC, or Rpn5-mC. We measured the colocalization frequencies between mC-tagged proteasome subunits and Hsp42-GFP over seven days of glucose starvation. We counted colocalization events as cells with at least one mC-tagged focus (PSG) that overlapped with Hsp42-GFP (IPOD) staining (Fig 4A, Pre1-mC). The mC-tagged proteasome subunits that marked PSGs colocalized with Hsp42-GFP in ~10% of WT cells during the 7-day time course under either low glucose or glucose-free conditions (Fig 4B and 4D, S3 Fig). This may represent a basal level of PSG maturation into or direct proteasome exchange with IPODs. Rpn5-mC or Rpn2-mC colocalized with Hsp42-GFP to a similar degree in the AMPK mutants (S3 Fig), suggesting that RP-containing PSGs associate with or mature into IPODs independently of AMPK signaling. Surprisingly, the fraction of cells with PSGs marked with Pre1-mC (CP) increasingly colocalized with IPODs in the AMPK mutants, reaching nearly 60% after seven days in low glucose (Fig 4B). Under glucose-free starvation, however, Pre1-mC-containing PSGs maintained a basal (~WT) level of association with Hsp42-GFP (Fig 4D). These data suggest that AMPK specifically regulates CP-containing PSG association with the IPOD under low glucose conditions and that the kinase transduces small differences in glucose concentration into alternative proteasome trafficking and quality control pathways.
Fig 4

CP-containing PSGs are enriched for IPOD marker Hsp42 in AMPK mutants in low glucose.

(A) Epifluorescence images of Pre1-mC and Hsp42-GFP in WT, snf4Δ, and snf1Δ cells in low glucose for ~4 days. Representative images of Pre1-mC where it separates from or colocalizes with Hsp42-GFP are shown. White arrows point to colocalized Pre1-mC and Hsp42-GFP. BF: bright field. Scale bar, 5 μm. (B) Quantification of colocalized Pre1-mC and Hsp42-GFP in live cells in 0.025% glucose for WT (438 cells counted [1d], 493 [2d], 338 [3d], 390 [4d], 546 [7d]), snf4Δ (n = 334 [1d], 845 [2d], 947 [3d], 652 [4d], 705 [7d]), and snf1Δ (n = 273 [1d], 551 [2d], 514 [3d], 531 [4d], 453 [7d]). (C) Quantification of colocalized Pre1-mC and Hsp42-GFP after 30 min recovery in 2% glucose in cells fixed after 7 d in 0.025% glucose from panel (B). Cells counted: WT (789), snf4Δ (692), snf1Δ (396). (D) Percentage of living cells with colocalized Pre1-mC and Hsp42-GFP. WT (433 cells counted [1d], 456 [2d], 693 [3d], 495 [4d], 355 [7d]), snf4Δ (519 [1d], 688 [2d], 473 [3d], 361 [4d], 220 [7d]), and snf1Δ (559 [1d], 484 [2d], 500 [3d], 412 [4d], 147 [7d]) cultures were grown in glucose-free medium. Results plotted as mean±sd. *, P<0.05; **, P<0.01; ***, P<0.001 (ANOVA single factor analysis comparing snf4Δ or snf1Δ to WT).

CP-containing PSGs are enriched for IPOD marker Hsp42 in AMPK mutants in low glucose.

(A) Epifluorescence images of Pre1-mC and Hsp42-GFP in WT, snf4Δ, and snf1Δ cells in low glucose for ~4 days. Representative images of Pre1-mC where it separates from or colocalizes with Hsp42-GFP are shown. White arrows point to colocalized Pre1-mC and Hsp42-GFP. BF: bright field. Scale bar, 5 μm. (B) Quantification of colocalized Pre1-mC and Hsp42-GFP in live cells in 0.025% glucose for WT (438 cells counted [1d], 493 [2d], 338 [3d], 390 [4d], 546 [7d]), snf4Δ (n = 334 [1d], 845 [2d], 947 [3d], 652 [4d], 705 [7d]), and snf1Δ (n = 273 [1d], 551 [2d], 514 [3d], 531 [4d], 453 [7d]). (C) Quantification of colocalized Pre1-mC and Hsp42-GFP after 30 min recovery in 2% glucose in cells fixed after 7 d in 0.025% glucose from panel (B). Cells counted: WT (789), snf4Δ (692), snf1Δ (396). (D) Percentage of living cells with colocalized Pre1-mC and Hsp42-GFP. WT (433 cells counted [1d], 456 [2d], 693 [3d], 495 [4d], 355 [7d]), snf4Δ (519 [1d], 688 [2d], 473 [3d], 361 [4d], 220 [7d]), and snf1Δ (559 [1d], 484 [2d], 500 [3d], 412 [4d], 147 [7d]) cultures were grown in glucose-free medium. Results plotted as mean±sd. *, P<0.05; **, P<0.01; ***, P<0.001 (ANOVA single factor analysis comparing snf4Δ or snf1Δ to WT). In light of the strongly increased colocalization between Pre1-mC and Hsp42-GFP in AMPK mutants after extended low glucose incubation (Fig 4B), we examined their localization upon glucose refeeding. Pre1-mC foci did not dissipate, as noted above, and colocalization between Pre1-mC and Hsp42-GFP dropped only partially: by ~46% and ~34% in the snf4Δ and snf1Δ cells, respectively, after 30 min glucose recovery (Fig 4C). By comparison, colocalization dropped by ~79% in WT cells due to PSG dissipation and proteasome nuclear reimport. This suggests that a fraction of the CP-containing foci in AMPK mutants, which still colocalized with IPODs after glucose recovery, had either become ‘terminal PSGs’ or matured into IPODs. The expected difference between these two structures would be the greater compositional complexity of IPODs.

Proteasome subunit cleavage in glucose-depleted cells requires vacuolar proteases but not macroautophagy

Proteasomes are targeted to the vacuole through macroautophagy when cells are grown in the absence of nitrogen or carbon, leading to free GFP release [26, 28]. To assess whether macroautophagy is necessary for the more complex proteasome fragmentation observed under low glucose conditions, we examined yeast strains lacking macroautophagy-related genes. Loss of ATG8 eliminates all types of macroautophagy [45], while ATG11 and ATG39 are needed for specific classes of selective macroautophagy [18]. ATG17 is required only for non-selective macroautophagy [20], and ATG15 encodes an intravacuolar lipase [46]. Under low glucose conditions, anti-GFP immunoblot analysis showed that cleavages of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP within the proteasome subunit moieties of the fusions (“fragments” in Fig 5A) were not significantly different from WT cells in atg8Δ, atg11Δ, atg17Δ, atg39Δ, or atg15Δ mutants, but release of free GFP in these fusions was completely blocked in atg8Δ and atg17Δ cells (Fig 5A). PSGs continued to be observed in all of the tested atg mutants (Fig 5B and S4A Fig); upon glucose refeeding, the PSGs dissipated normally, and nuclear reimport of proteasomes was efficient (S4B Fig). By contrast, proteasome macroautophagy was blocked in nitrogen-starved atg15Δ cells (S4C Fig), in agreement with a previous study [28], although proteasome trafficking to the vacuole continued in the mutant, inasmuch as GFP-tagged full-length proteasome subunits accumulated in the vacuole lumen (S4D Fig). Collectively, these data suggest that complex proteasome fragmentation (in contrast to free GFP release), PSG assembly, PSG dissipation, and nuclear reimport of proteasomes are independent of macroautophagic components in cells cultured in low glucose.
Fig 5

Proteasome fragmentation in glucose-starved cells requires vacuolar proteases but not macroautophagy factors.

(A) Anti-GFP immunoblot analyses of WT, macroautophagy mutant (atg8Δ, atg11Δ, atg17Δ, atg39Δ, atg15Δ), and vacuolar protease-deficient mutant (prb1Δ, pep4Δ, pep4Δ prb1Δ) cells under glucose limitation. Cells were harvested from cultures in SC medium containing low glucose (0.025% C) or no glucose (-C) for ~4 days at 30°C. (B) Epifluorescence images of a core macroautophagy mutant (atg8Δ) and vacuolar protease-defective mutants from panel (A). Black arrows mark PSGs. BF: bright field. 4×: 4× enlargement of the square regions in the vacuole lumen. Scale bar, 5 μm.

Proteasome fragmentation in glucose-starved cells requires vacuolar proteases but not macroautophagy factors.

(A) Anti-GFP immunoblot analyses of WT, macroautophagy mutant (atg8Δ, atg11Δ, atg17Δ, atg39Δ, atg15Δ), and vacuolar protease-deficient mutant (prb1Δ, pep4Δ, pep4Δ prb1Δ) cells under glucose limitation. Cells were harvested from cultures in SC medium containing low glucose (0.025% C) or no glucose (-C) for ~4 days at 30°C. (B) Epifluorescence images of a core macroautophagy mutant (atg8Δ) and vacuolar protease-defective mutants from panel (A). Black arrows mark PSGs. BF: bright field. 4×: 4× enlargement of the square regions in the vacuole lumen. Scale bar, 5 μm. To determine whether the complex proteasome subunit cleavages depended on vacuolar proteases, we introduced Pre10-GFP, Rpn5-GFP, and Rpn2-GFP into yeast strains lacking PEP4, encoding vacuolar protease A; PRB1, encoding protease B; or both genes, which blocks virtually all vacuolar proteolysis [47]. GFP immunoblot analysis showed that fragmentation of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP was partially inhibited in the prb1Δ and pep4Δ single mutants and completely blocked in the pep4Δ prb1Δ double mutant during glucose deprivation (Fig 5A). PSGs formed normally in these mutants, along with retention of GFP-tagged proteasomes in the vacuole lumen (Fig 5B); PSG dissipation and nuclear reimport of proteasomes upon glucose refeeding was also similar to WT cells (S4B Fig). These results indicate that the proteasome subunit fragmentation requires vacuolar proteases and that these macroautophagy-independent cleavages could serve as a signature for an alternative mode of vacuolar import.

ESCRT-dependent microautophagy is required for proteasome fragmentation

Another recently described mechanism for protein import and degradation in the yeast vacuole is ESCRT-dependent microautophagy [22]. Vph1 resides in the vacuolar membrane and is subjected to vacuolar degradation by microautophagy when cells are grown beyond the diauxic shift stage; this is independent of macroautophagy factors [22]. We first examined Vph1-GFP degradation under our three starvation conditions: nitrogen-free, glucose-free, and low glucose. Under nitrogen starvation, immunoblot analysis showed that free GFP release from Vph1-GFP was normal in snf1Δ and snf4Δ cells, while a minor reduction in degradation was seen in atg15Δ and atg8Δ cells; degradation was completely blocked in vps4Δ cells (Fig 6A). This suggests that under nitrogen starvation, vacuolar degradation of Vph1-GFP requires the ESCRT machinery but not AMPK, which recalled our data on AMPK and ESCRT dependence in proteasome macroautophagy under nitrogen starvation (Fig 2A and S4C Fig).
Fig 6

Evidence for proteasome microautophagy in low glucose conditions.

(A) Anti-GFP immunoblot analysis of free GFP release from the vacuolar membrane protein Vph1-GFP in WT, macroautophagy mutant (atg8Δ and atg15Δ), ESCRT mutant (vps4Δ), and AMPK mutant (snf4Δ and snf1Δ) cells under nitrogen starvation for ~1 day at 30°C. (B) Immunoblot analyses of free GFP release from Vph1-GFP in the same strains as in (A) but during glucose starvation. Cells were harvested from cultures after ~4 days at 30°C. (C) Confocal microscopy images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in atg8Δ pep4Δ prb1Δ cells in low glucose. Related videos are provided in the supporting information. BF: bright field. Scale bars, 2 μm. (D) Cryo-immunogold electron micrographs of proteasomes in the indicated cells grown in low glucose. Cells were immunolabeled with anti-CP primary antibody and Protein A-gold-conjugated secondary antibody (black arrows). (E) Electron micrographs of microautophagic vesicles and autophagic bodies formed in atg8Δ pep4Δ prb1Δ and vps4Δ pep4Δ prb1Δ cells, respectively, during low glucose starvation. “*” indicates highlighted phenotypes in left panels that enlarged as shown in right panels. Nuc: nucleus; Cyto: cytoplasm; Vac: Vacuole; AB: autophagic body. Cells were harvested from cultures in SC medium containing 0.025% glucose for ~1 day in panel (C) and ~4 days in panels (D) and (E) at 30°C. (F) Percentage of cell sections with the indicated intravacuolar structures (ABs, vesicles, ABs & vesicles, none) in the strains used for panel (D). (G) Percentage of the indicated structures with gold particle staining or neither AB nor vesicle (Neither) staining in the cells used for panel (D). (H) Percentage of intravacuolar gold particles staining either ABs or vesicles or neither in the cells used for panel (D). “n” represents cell sections counted in panels (F) and (G), and intravacuolar gold particles counted in panel (H).

Evidence for proteasome microautophagy in low glucose conditions.

(A) Anti-GFP immunoblot analysis of free GFP release from the vacuolar membrane protein Vph1-GFP in WT, macroautophagy mutant (atg8Δ and atg15Δ), ESCRT mutant (vps4Δ), and AMPK mutant (snf4Δ and snf1Δ) cells under nitrogen starvation for ~1 day at 30°C. (B) Immunoblot analyses of free GFP release from Vph1-GFP in the same strains as in (A) but during glucose starvation. Cells were harvested from cultures after ~4 days at 30°C. (C) Confocal microscopy images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in atg8Δ pep4Δ prb1Δ cells in low glucose. Related videos are provided in the supporting information. BF: bright field. Scale bars, 2 μm. (D) Cryo-immunogold electron micrographs of proteasomes in the indicated cells grown in low glucose. Cells were immunolabeled with anti-CP primary antibody and Protein A-gold-conjugated secondary antibody (black arrows). (E) Electron micrographs of microautophagic vesicles and autophagic bodies formed in atg8Δ pep4Δ prb1Δ and vps4Δ pep4Δ prb1Δ cells, respectively, during low glucose starvation. “*” indicates highlighted phenotypes in left panels that enlarged as shown in right panels. Nuc: nucleus; Cyto: cytoplasm; Vac: Vacuole; AB: autophagic body. Cells were harvested from cultures in SC medium containing 0.025% glucose for ~1 day in panel (C) and ~4 days in panels (D) and (E) at 30°C. (F) Percentage of cell sections with the indicated intravacuolar structures (ABs, vesicles, ABs & vesicles, none) in the strains used for panel (D). (G) Percentage of the indicated structures with gold particle staining or neither AB nor vesicle (Neither) staining in the cells used for panel (D). (H) Percentage of intravacuolar gold particles staining either ABs or vesicles or neither in the cells used for panel (D). “n” represents cell sections counted in panels (F) and (G), and intravacuolar gold particles counted in panel (H). This contrasts with immunoblot analyses showing that free GFP release from Vph1-GFP was strongly inhibited in snf1Δ and snf4Δ cells as well as vps4Δ cells under both low glucose and glucose-free conditions. Interestingly, GFP release was also partially inhibited in atg15Δ and atg8Δ cells under glucose-free conditions, but was normal in these mutants in low glucose (Fig 6B). Therefore, vacuolar degradation of Vph1-GFP requires AMPK and the ESCRT pathway but is independent of macroautophagy under low glucose conditions. These results closely parallel the data on proteasome fragmentation under glucose starvation (Figs 3A and 5A). The implication is that like Vph1 cleavage, proteasome fragmentation in cells grown in low glucose conditions results from ESCRT-dependent microautophagy. To observe proteasome microautophagy cytologically, we fused the GFP sequence to different proteasome subunit genes in a triple mutant lacking ATG8, PEP4, and PRB1; the latter mutations block all macroautophagy and most or all vacuolar hydrolysis reactions. Confocal microscopy of cells in low glucose suggested that PSGs marked by Pre10-GFP, Rpn5-GFP, or Rpn2-GFP were tightly associated with vacuolar membrane invaginations (Fig 6C and S1–S3 Videos). Strikingly, by anti-CP immunogold electron microscopy, large numbers of membrane vesicle-like structures accumulated in the vacuole in ~82% of atg8Δ pep4Δ prb1Δ cell sections (Fig 6D and 6F); ~29% of vesicle-containing cell sections were marked with gold beads (Fig 6G). Roughly 81% of the intravacuolar gold beads marking proteasomes were on the edges of the membrane vesicle-like structures in atg8Δ pep4Δ prb1Δ cells (Fig 6D and 6H). The vesicles or tubules fill a large fraction of the vacuole lumen and were often delimited by apparent double membranes, possibly due to folding of invaginated membranes (Fig 6E). By contrast, in glucose-limited vps4Δ pep4Δ prb1Δ cells, which lack the full ESCRT pathway and therefore microautophagy, CP-labeled autophagic bodies (ABs) were observed in the vacuole lumen instead; ~77% of the cell sections included ABs (Fig 6E and 6F), and in these sections, ~63% were labeled with anti-CP gold beads, of which ~89% marked ABs (Fig 6D, 6G and 6H). This is consistent with the known role of macroautophagy in proteasome degradation when cells are carbon-starved [31] and our GFP release assays (Figs 3A and 5A). Moreover, the microautophagic vesicles and ABs were induced simultaneously as both structures were observed in ~83% of pep4Δ prb1Δ cell sections, while neither was visible in ~96% of atg8Δ vps4Δ pep4Δ prb1Δ and ~84% of atg8Δ snf4Δ pep4Δ prb1Δ cell sections (Fig 6D and 6F). These findings support the hypothesis that AMPK specifically regulates ESCRT-dependent microautophagy of proteasomes in low glucose conditions.

Aberrant proteasomes are more prone to microautophagy during glucose starvation

Proteasome microautophagy might represent a type of protein triage or quality control under nutrient stress conditions. We hypothesized that aberrant proteasomes would sort into microautophagy structures rather than reversible PSGs in cells subjected to glucose limitation. To create cells bearing large numbers of misassembled or abnormal proteasomes, we used yeast strains lacking either of two nonessential proteasome subunits, Sem1/Rpn15 or Pre9/α3, which affect assembly of the RP and CP, respectively [48, 49]. Detection of free GFP and novel cleavage fragments from Pre10-GFP, Rpn5-GFP, and Rpn2-GFP was enhanced in sem1Δ and pre9Δ cells under both low glucose and glucose-free conditions (Fig 7A). At the same time, formation of PSGs from GFP-tagged CPs and RPs was abolished in the sem1Δ cells, as was PSG assembly of Pre10-GFP-tagged CPs in pre9Δ cells (Fig 7B). PSG assembly of Rpn2-GFP and Rpn5-GFP was significantly inhibited but not fully blocked in the pre9Δ mutant, consistent with formation of RP-only PSGs (Fig 7B and 7C). Rpn2-GFP-containing PSGs were observed in only ~36% of pre9Δ cells compared to ~75% of WT cells, and Rpn5-GFP-marked PSGs were observed in ~23% of pre9Δ cells versus ~79% of WT cells (Fig 7C). The PSGs of Rpn2-GFP and Rpn5-GFP still dissipated, and proteasomes were reimported to the nucleus in the pre9Δ mutant after glucose recovery (Fig 7D). The novel fragments generated from RP subunit Rpn2-GFP and CP subunit Pre10-GFP specifically in the sem1Δ RP mutant and pre9Δ CP mutant, respectively, and the greater sensitivity of Pre10-GFP localization to PSGs in the pre9Δ CP mutant support the idea that CP and RP trafficking through PSGs is likely regulated through at least partly distinct mechanisms.
Fig 7

Defective proteasomes are channeled to the vacuole rather than PSGs in glucose-starved cells.

(A) Anti-GFP immunoblot analyses of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and proteasome mutant (sem1Δ and pre9Δ) cells during glucose starvation. Cells were cultured for ~4 days at 30°C in SC media with low or no glucose. “*” indicates novel fragments not seen in WT. (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP from the same cultures grown in low (0.025%) glucose from panel (A). CP-containing PSGs were no longer observed in sem1Δ or pre9Δ cells, and RP-containing PSGs were not formed in sem1Δ cells and were significantly reduced in pre9Δ cells. White arrows point to PSGs. (C) Percentage of cells with PSGs visualized with Rpn5-GFP and Rpn2-GFP in WT (793 cells counted [Rpn2-GFP], 890 [Rpn5-GFP]) and pre9Δ (938 cells counted [Rpn2-GFP], 819 [Rpn5-GFP]) cells. Results shown as mean±sd. *, P<0.05 (ANOVA single factor analysis). (D) Epifluorescence images of Rpn5-GFP and Rpn2-GFP in WT and pre9Δ cells after glucose add-back for the indicated times. Cultures were the same as in panel (B). White arrows point to nuclei with reimported proteasomes. BF: bright field. Scale bars, 5 μm in panels (B) and (D).

Defective proteasomes are channeled to the vacuole rather than PSGs in glucose-starved cells.

(A) Anti-GFP immunoblot analyses of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in WT and proteasome mutant (sem1Δ and pre9Δ) cells during glucose starvation. Cells were cultured for ~4 days at 30°C in SC media with low or no glucose. “*” indicates novel fragments not seen in WT. (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP from the same cultures grown in low (0.025%) glucose from panel (A). CP-containing PSGs were no longer observed in sem1Δ or pre9Δ cells, and RP-containing PSGs were not formed in sem1Δ cells and were significantly reduced in pre9Δ cells. White arrows point to PSGs. (C) Percentage of cells with PSGs visualized with Rpn5-GFP and Rpn2-GFP in WT (793 cells counted [Rpn2-GFP], 890 [Rpn5-GFP]) and pre9Δ (938 cells counted [Rpn2-GFP], 819 [Rpn5-GFP]) cells. Results shown as mean±sd. *, P<0.05 (ANOVA single factor analysis). (D) Epifluorescence images of Rpn5-GFP and Rpn2-GFP in WT and pre9Δ cells after glucose add-back for the indicated times. Cultures were the same as in panel (B). White arrows point to nuclei with reimported proteasomes. BF: bright field. Scale bars, 5 μm in panels (B) and (D). To test further the notion that aberrant proteasomes are channeled into the microautophagy pathway rather than assembled into PSGs during low glucose starvation, we tested if inhibition of CP catalytic activity by the drug MG132 affected proteasome fragmentation and PSG assembly under these conditions. Immunoblot analysis showed that fragmentation of Pre6-GFP (a CP subunit, α4), Rpn5-GFP, and Rpn2-GFP was enhanced by MG132 compared to the DMSO control (S5A Fig). Strikingly, assembly of these tagged proteasomes into PSGs was completely blocked in MG132-treated cells (S5B Fig). These findings suggest that cells can recognize inactive or abnormal proteasomes and preferentially remove them by autophagy under low glucose conditions.

Discussion

The results presented here demonstrate that subcellular proteasome trafficking and degradation are highly regulated during glucose limitation by the integrated action of AMPK (Snf1 kinase) and the ESCRT machinery (Fig 8). In particular, we discovered that AMPK promotes ESCRT-dependent microautophagy of proteasomes under low glucose conditions, and this degradation mechanism appears to be biased toward inactive or abnormal proteasomes. This selectivity allows functional proteasomes to accumulate in PSGs, which after glucose refeeding rapidly dissipate, with reimport of proteasomes into the nucleus. In the absence of AMPK, when ESCRT-dependent microautophagy is compromised, the IPOD serves as an alternative cellular site to sequester and remove proteasome granules that fail to disassemble normally, especially those containing only CP complexes.
Fig 8

Model for cellular control of proteasome trafficking and degradation during low glucose and glucose recovery.

In this working model, AMPK links glucose status with the trafficking and degradation of proteasomes. Normally, AMPK will either directly or indirectly promote formation of PSGs in low glucose conditions. A fraction of proteasomes will be inactive or defective after prolonged starvation, and ESCRT-dependent microautophagy preferentially targets this fraction for degradation in the vacuole. In AMPK mutants, proteasome microautophagy is blocked, and irreversible proteasome aggregates accumulate both aberrant and normal proteasomes. In this case, irreversible proteasome aggregates mature into or transfer proteasomes to the IPOD compartment to sequester potentially defective or inactive proteasomes, particularly irreversible CP-containing aggregates. These structures might be degraded by macroautophagy or, upon glucose refeeding and re-entry into the cell cycle, might utilize retention in mother cells as a means to clear aberrant proteasomes.

Model for cellular control of proteasome trafficking and degradation during low glucose and glucose recovery.

In this working model, AMPK links glucose status with the trafficking and degradation of proteasomes. Normally, AMPK will either directly or indirectly promote formation of PSGs in low glucose conditions. A fraction of proteasomes will be inactive or defective after prolonged starvation, and ESCRT-dependent microautophagy preferentially targets this fraction for degradation in the vacuole. In AMPK mutants, proteasome microautophagy is blocked, and irreversible proteasome aggregates accumulate both aberrant and normal proteasomes. In this case, irreversible proteasome aggregates mature into or transfer proteasomes to the IPOD compartment to sequester potentially defective or inactive proteasomes, particularly irreversible CP-containing aggregates. These structures might be degraded by macroautophagy or, upon glucose refeeding and re-entry into the cell cycle, might utilize retention in mother cells as a means to clear aberrant proteasomes.

Independent regulation of CP and RP during nutrient limitation

In proliferating yeast and most mammalian cells, proteasomes concentrate in the nucleus, but large-scale proteasome relocalization from the nucleus to other intracellular compartments is triggered by nutrient limitation. During nitrogen starvation, proteasomes are routed by macroautophagy to the vacuole for degradation, whereas they mostly relocate to the cytoplasm into large, membraneless granules (PSGs) during carbon starvation. In nitrogen-starved cells, nuclear proteasomes have been reported to disassemble into CP and RP lid and base subcomplexes [28], and the CP and RP are regulated by different mechanisms during their trafficking from the nucleus to the vacuole. For example, CP macroautophagy depends on the deubiquitylating enzyme Ubp3, but RP macroautophagy does not [27]. Here we have shown that many components of the ESCRT pathway are required for proteasome macroautophagy, probably by facilitating the sealing of proteasome-containing autophagosomes; ESCRT factors have been implicated directly in this stage of macroautophagy [50]. It would be reasonable to suggest a similar function for ESCRTs during vacuolar membrane vesiculation during microautophagy. Surprisingly, the Vps4 AAA-ATPase, while required for RP macroautophagy, is not essential for CP macroautophagy, suggesting different roles for some ESCRT factors in proteasome trafficking and degradation. There are other cellular processes, such as cytokinesis, where ESCRT factors also function differently than in the MVB pathway [51]. Vps4 disassembles and recycles the ESCRT-III polymers responsible for membrane fission/fusion during autophagosome closure [52]. It is possible that Vps4 activity in CP macroautophagy can somehow be replaced by another ATPase [52, 53]. The molecular mechanisms of ATPase action in CP macroautophagy during nitrogen starvation will require further investigation. Reversible cytoplasmic PSGs are assembled under glucose starvation in yeast and plants [13, 31]. Previous studies reported that proteasomes also disassemble into CP and RP during prolonged incubation in stationary phase (which is also a form of carbon starvation) or under carbon starvation [31, 54], but CP and RP eventually accrete into the same 1–2 large PSGs per cell [13, 17]. We have found that mutations in either the CP or RP inhibit PSG assembly (Fig 7B–7D). Alteration of the lid by deletion of SEM1 completely blocked PSG formation from CP, base, and lid subcomplexes (Fig 7B). This is consistent with previous studies showing that the integrity of lid subunits (Rpn5 and Rpn11) is required for PSG assembly [12, 16, 17]. Interestingly, creation of an alternative form of the CP by deletion of PRE9 completely blocked CP incorporation into PSGs while incompletely inhibiting PSG assembly from base and lid components (Fig 7B–7D). This supports the inference that proteasomes separate into CP and RP complexes during glucose starvation, and further suggests that PSGs assemble from RP complexes alone in cells expressing a defective CP, analogous to previous observations in blm10Δ cells [15].

ESCRT-dependent microautophagy versus reversible PSG assembly

Our data suggest that AMPK and ESCRT-dependent microautophagy play an important role in sorting and eliminating defective proteasomes in cells starved for glucose. Complex proteasome fragmentation is more strongly induced under low glucose (0.025% glucose) than glucose-free conditions (Figs 3A, 5A and 7A) and requires AMPK; the ESCRT machinery also contributes to this fragmentation by vacuolar proteases (Figs 3A and 5A), but it is largely independent of macroautophagy factors (Fig 5A). ESCRT-dependent microautophagy during glucose starvation was only recently demonstrated [22]. Our data show in addition that AMPK plays a critical role in microautophagy of the vacuolar membrane protein Vph1, the primary model substrate used in the earlier study (Fig 6B). In light of the similar requirements for proteasome and Vph1 degradation in response to glucose starvation, we surmised that proteasome subunit fragmentation could also be through a type of microautophagy under low glucose conditions. We found direct evidence of proteasome microautophagy by immunogold EM labeling of CPs (and time-lapse analysis of both CP and RP by confocal microscopy) in atg8Δ pep4Δ prb1Δ cells, which accumulate intravacuolar agglomerations of membrane tubules and vesicles that stain with anti-CP antibodies (Fig 6D). These cells, which cannot carry out macroautophagy and are incapable of degrading their vacuolar contents, collect enormous amounts of this intravacuolar material (Fig 6E). Proteasomes are mostly associated with the apparent double membranes of the tubules and vesicles in the vacuole (Fig 6D). Under conditions of extended glucose deprivation, which would be expected to occur in the wild, microautophagy is likely to be a highly active means of cellular remodeling and protein quality control, including of the proteasome. The finding that aberrant proteasomes appear to be selectively cleared by microautophagy in low-carbon conditions and at the same time compromise reversible PSG assembly (Fig 7 and S5 Fig) raises the question of how abnormal or inactive proteasomes are distinguished and sorted into the degradation pathway. In fission yeast, the ESCRT machinery can mediate the selective autophagy of soluble ubiquitylated cargos via the MVB pathway [55]. This is independent of the core macroautophagy machinery [55]. Moreover, by examining the degradation of a vacuolar lysine transporter, Ypq1, a recent study reported that the ESCRT machinery functions directly on the vacuolar membrane for sorting ubiquitylated Ypq1 to the vacuole lumen [56]. We propose that aberrant or inactive proteasomes, which are known to get ubiquitylated [26], are sorted for microautophagy in a similar fashion. Among the ESCRT proteins, Vps27, a component of the ESCRT-0 complex, recognizes ubiquitylated endosomal cargos and recruits ESCRT-I, II, and III for delivering cargos to the vacuole for degradation [57]. It can also work directly at the vacuolar membrane [56]. At the vacuolar membrane, Vps27 may recognize aberrant ubiquitylated proteasomes and initiate ESCRT assembly, leading to the selective elimination of these proteasomes by microautophagy. Proteasome ubiquitylation may occur at the vacuolar membrane; both our fluorescence microscopy data on PSG localization (Figs 4A, 5B and 7B and S2B Fig) and prior studies [17] have shown that the majority of PSGs localize adjacent to the vacuolar membrane during PSG assembly. Therefore, aberrant proteasomes might be accessible to E3 ubiquitin ligases on the vacuolar surface even if initially sorted into PSGs; ubiquitylated particles could then be sorted via the ESCRT machinery to the vacuole lumen. This model posits a direct proteasome quality-control mechanism at the PSG-vacuole interface, an idea we are currently testing.

AMPK regulation of proteasome trafficking and degradation

Mammalian AMPK can promote autophagy by phosphorylation of the serine/threonine kinase Ulk1 [39, 40]. Ulk1 is a homolog of yeast Atg1 kinase, which is pivotal in macroautophagy initiation during nitrogen starvation [58]. But how does AMPK regulate proteasome microautophagy? Recently, microautophagy has been classified into three types according to the overt membrane dynamics (morphology and location) involved. These are microautophagy with lysosomal protrusion, with lysosomal invagination, or with endosomal invagination [59]. Proteasome microautophagy in our model (Fig 8), which is based on our cell biological data, is akin to vacuolar (lysosomal) invagination, although we cannot completely exclude endosomal invagination. In microautophagy with vacuolar invagination, distinct vacuolar membrane domains, classified as liquid-ordered (Lo) and liquid-disordered (Ld), facilitate the invagination of vacuolar membranes in response to glucose depletion [60]. When cells enter stationary phase, for example, lipid droplets (LDs) undergo microautophagy and likely enter the vacuole lumen through sterol-enriched Lo domains [61]. AMPK is activated in response to low glucose levels and promotes the redistribution of Atg14 from ER exit sites onto Lo domains to initiate LD microautophagy [62]. This might be relevant to PSG-vacuole association, allowing aberrant proteasomes to partition into lipid domains where the ESCRT machinery initiates proteasome microautophagy. In another scenario, AMPK may directly phosphorylate ESCRT proteins or proteasome subunits and thus enhance interaction of ESCRT factors and proteasomes.

Regulation of proteasome trafficking by the IPOD during glucose starvation

Over a 7-day period of glucose limitation, we found a steady state of ~10% colocalized CP and RP foci with IPODs in WT cells (Fig 4 and S3 Fig). Consistent with our results, a previous study, while reporting increased colocalization between PSGs and IPODs at an early stage of PSG assembly during glucose starvation, observed that the majority of proteasomes eventually separated from the IPOD, resulting in ~10% of cells showing colocalization [17]. We also saw that in the absence of AMPK, the IPOD selectively sequesters excess CP granules that form during low glucose starvation but fail to dissipate upon glucose restoration in these mutants (Figs 4B, 4C and 8). The IPOD may thus serve as an alternative means of regulating proteasome homeostasis by collecting aggregated proteasomes that escaped from AMPK and ESCRT-dependent proteasome quality controls during PSG formation. In summary, our findings extend the developing view that proteasomes, which are key components of the cellular protein homeostasis network, are themselves subject to diverse surveillance mechanisms when cells experience nutritional and other stresses. In glucose-limited cultures, yeast cells relocate most proteasomes to 1–2 large cytoplasmic foci, and these PSGs are subject to various types of dynamic control. Our data reveal a novel AMPK- and ESCRT-regulated pathway of proteasome microautophagy under these conditions that preferentially removes abnormal or inactive proteasomes from the cellular pool. How proteasomes are exchanged between PSGs and free proteasome pools both in the cytoplasm and nucleus, and how microautophagy, macroautophagy, and IPOD sequestration control these proteasome populations under different conditions will be important questions to pursue.

Materials and methods

Construction of an Rpn5-GFP integrated yeast deletion library

The construction of the RPN5-GFP-integrated yeast deletion library has been described previously [14]. Briefly, a benchtop colony arrayer (RoToR; Singer Instruments) was used to manipulate the yeast strains in high-density format (384-well plates). RPN5-GFP was introduced into the yeast deletion library by an SGA approach [36]. Specifically, a MATα haploid strain harboring RPN5-GFP::URA3 and the required markers for SGA (can1Δ::STE2pr-his5 and lyp1Δ) was mated with the deletion library. The resulting diploid cells were sporulated, and then haploid cells with the desired combination of RPN5-GFP::URA3 and library gene deletion were selected.

High-throughput fluorescence microscopy

Microscopic screening was performed using an automated microscopy setup as previously described [37]. Yeast cells were transferred from agar plates into liquid 96-well polystyrene growth plates using the RoToR arrayer. To induce PSGs, liquid cultures diluted to ~0.25 OD600 (optical density unit at 600 nm) were grown in synthetic complete medium with no glucose for 72 h in a shaking incubator (LiCONiC Instruments) at 30°C. The liquid handler (JANUS; PerkinElmer) was then used to transfer strains into glass-bottom 96-well microscope plates (MatriCal Bioscience) coated with Concanavalin A (Sigma-Aldrich) to allow cell adhesion. Wells were washed twice to remove floating cells. To uncover mutants that interfered with PSG dissipation and nuclear reimport of proteasomes upon addition of glucose, synthetic defined medium containing glucose was added in the second wash. Plates were then transferred into an automated inverted fluorescent microscopic scan^R system (Olympus) using a swap robotic arm (Hamilton Robotics). The scan^R system is designed to allow autofocus and imaging of plates in 96-well format. Images of cells were recorded ~10 min following glucose replenishment at 24°C using a 60× air lens (NA0.9) and with a cooled charge-coupled device camera (ORCA-ER; Hamamatsu Photonics). Images were acquired in the GFP channel (excitation at 490/20 nm and emission at 535/50 nm) and then manually visualized to uncover strains in which the normal re-localization of Rpn5 into the nucleus was disturbed. All images were taken at a single focal plane.

Yeast strains and cell growth

Yeast manipulations were performed according to standard protocols [63]. Yeast strains used in this study are listed in S2 Table. Yeast cells were grown overnight in synthetic complete (SC) medium [42] at 30°C with vigorous agitation. Cells were then diluted in fresh SC medium and grown to mid-log phase. Mid-log cells were pelleted, washed once with sterile H2O, followed by different treatments. For nitrogen starvation, cells were resuspended in synthetic minimal medium lacking nitrogen (0.17% [w/v] yeast nitrogen base without amino acids and ammonium sulfate, 2% glucose) and cultured for ~1 day at 30°C. For glucose starvation, cells were resuspended in SC medium containing 0.025% glucose or lacking glucose, and cultured for ~4 days at 30°C. For proteasome inhibitor MG132 treatment, cells harboring a PDR5 deletion (which allows efficient intracellular accumulation of the drug) were grown in SC medium as above, and mid-log cells were resuspended in SC medium containing 0.025% glucose and DMSO or 50 μM MG132 (Santa Cruz Biotechnology, catalog # sc-201270, lot # A1118) dissolved in DMSO and cultured for ~1 day at 30°C. For glucose recovery, starved cells were washed once with sterile H2O and resuspended in SC medium (2% glucose) and cultured at room temperature (RT) for microscopy.

Fluorescence microscopy

For epifluorescence microscopy, yeast cells were visualized on an Axioskop microscope (Carl Zeiss) equipped with a plan-Apochromat 100×/1.40 oil DIC objective lens equipped with a CCD camera (AxioCam MRm; Carl Zeiss) and a HBO100W/2 light source. Images were taken using AxioVision software. Chemical fixation of cells in Figs 1E and 4C was performed as described previously with minor modifications [64]. Briefly, glucose-starved cells were recovered in SC medium for 15 min or 30 min at RT and fixed with 2% (v/v) formaldehyde and incubated for 5 min at RT. The fixed cells were pelleted and washed once with 0.1 M KPO4 pH 6.5, and then resuspended in 0.1 M KPO4 pH 7.5 for imaging with a fluorescence microscope as above. For confocal microscopy and time-lapse videos, yeast cells were viewed on an LSM 880 Airyscan NLO/FCS confocal microscope with an Alpha Plan-Apochromat 100×/1.46 NA oil objective lens. Excitation was performed with an argon laser at 488 nm and DPSS laser at 561 nm, and emission was collected in the range of 493–556 nm or 579–624 nm for GFP and mCherry imaging, respectively. Images were acquired using ZEN software and processed using Adobe Photoshop CS6 software.

Electron microscopy

For immunogold labeling EM: yeast cells grown in SC medium containing 0.025% glucose for ~4 days were collected and fixed with 4% paraformaldehyde (PFA) and 0.2% glutaraldehyde in PBS for 30 min followed by further fixation in 4% PFA for 1 h. The fixed cells were rinsed with PBS, and resuspended in 10% gelatin. The blocks were trimmed and placed in 2.3 M sucrose on a rotor overnight at 4°C, and then transferred to aluminum pins and frozen rapidly in liquid nitrogen. The frozen blocks were cut on a Leica Cryo-EM UC6 UltraCut, and 60 nm thick sections were collected using the Tokuyasu method [65] and placed on carbon/Formvar-coated grids and floated in a dish of PBS for immunolabeling. Grids were placed section side down on drops of 0.1 M ammonium chloride to quench untreated aldehyde groups, then blocked for nonspecific binding on 1% fish skin gelatin in PBS. Single labeled grids were incubated with a primary antibody rabbit anti-20S (Enzo Life Sciences, catalog # BML-PW9355) at a dilution of 1:200, and 10 nm Protein A-gold (Utrecht Medical Center) was used as a secondary antibody. All grids were rinsed in PBS, fixed with 1% glutaraldehyde for 5 min, rinsed again and transferred to a uranyl acetate/methylcellulose drop before being collected and dried. For regular EM: yeast cells grown in SC medium containing 0.025% glucose for ~4 days were collected and fixed with 2.5% glutaraldehyde and 2% PFA in phosphate buffer pH 6.9 for 1 h, then rinsed in PBS followed by rinsing in 0.1 M sodium acetate buffer pH 6.1. The cells were post fixed in 2% osmium in 0.1 M sodium acetate for 30 min at RT, rinsed with distilled water and resuspended in aqueous 2% uranyl acetate for 60 min at RT in the dark. Cells were then rinsed in distilled water and dehydrated in 95% and 100% ethanol. The pelleted cells were resuspended in propylene oxide, then infiltrated using LX112 (Ladd) epon resin and baked overnight at 60°C. Hardened blocks were cut using a Leica UltraCut UC7 and 60 nm sections were collected and stained using 2% uranyl acetate and lead citrate. Grids were all viewed under a transmission electron microscope (FEI Tecnai G2 Spirit BioTWIN) at 80 kV. Images were taken using a SIS Morada 11-megapixel CCD camera and iTEM (Olympus) software. Acquired images were processed using Adobe Photoshop CS6 software.

Protein extraction and Western blotting

Total proteins were extracted by the alkaline lysis method [66], and Western blotting was performed as described previously with minor modifications [64]. Cells equivalent to one OD600 were collected by centrifugation and washed once with sterile H2O. Cells were resuspended in 400 μl 0.1 M NaOH and incubated for 5 min at RT. Cells were pelleted, resuspended in 100 μl SDS sample buffer (10% glycerol, 2% SDS, 0.1 M DTT, 62.5 mM Tris-HCl pH 6.8, 4% 2-mercaptoethanol, 0.008% bromophenol blue) and heated at 100°C for 5 min. Cell debris were pelleted by centrifugation. Equal volumes of the supernatants were loaded onto 10% (v/v) SDS-PAGE gels, followed by the transfer of proteins to polyvinylidene difluoride (PVDF) membranes (EMD Millipore, catalog # IPVH00010, lot # R8EA4245). The membranes were incubated with the primary antibodies Living Colors A.v. monoclonal antibody (JL-8; anti-GFP) (TaKaRa, catalog # 632381, lot # A5033481) at 1:2,000 dilution or anti-Pgk1 monoclonal antibody (Invitrogen, catalog # 459250, lot # TG2598062B) at 1:10,000 dilution, followed by ECL anti-mouse IgG secondary antibody conjugated to horseradish peroxidase (GE Healthcare, catalog # NA931V, lot # 16889300) at 1:10,000 dilution. The membranes were incubated in ECL detection reagent [67], and the protein signals were detecting using autoradiography film (Thomas Scientific, catalog # E3018).

Cell viability analysis

Cell viability analysis (S7 Fig) was performed with propidium iodide (PI) staining. Low glucose-starved yeast cells at the indicated days were pelleted and resuspended in 0.1 ml PI/RNase staining buffer (BD Pharmingen, catalog # 550825), and incubated for 20 min at RT in the dark before imaging.

Statistical analysis

ANOVA single factor analysis was performed using Microsoft Excel software. The number of cells counted for each assay are shown in the figure legends. Each experiment was repeated at least three times and the percentages shown in the figures represent the average of all the experiments. Error bars represent standard deviations.

ESCRT proteins are required for reversible PSG assembly under glucose starvation.

(A) Epifluorescence images of Pre1-mC, Rpn2-mC, and Rpn5-mC in ESCRT-defective mutant cells (ESCRT-II: vps25Δ, and ESCRT-III: did2Δ, vps2Δ, vps24Δ, snf7Δ) during low glucose starvation. Scale bar, 5 μm. (B) Confocal images of Pre1-mC in the ESCRT mutant cells after glucose recovery at the indicated time points. The times indicate when the images were taken after glucose add-back; Nup49-GFP served as a nuclear envelope marker; white dotted circles indicate the approximate outlines of cells. The line charts quantify signal intensity of Pre1-mC in the indicated white line across the nucleus after glucose recovery. (TIF) Click here for additional data file.

ESCRT machinery is required for vacuolar trafficking of proteasomes during nitrogen or glucose starvation.

(A) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in nitrogen-starved ESCRT mutant (vps28Δ, vps25Δ, and snf7Δ) and AMPK mutant (snf4Δ, snf1Δ) cells from figure panel (2A). (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in low glucose-starved WT and ESCRT mutant cells from figure panel (3A). The vacuolar membrane is marked with dotted white line. BF: bright field. V: vacuole. 4×: 4× enlargement of the squared regions in cells. Scale bars, 5 μm. (C) Quantification of cells with abnormal perivacuolar proteasomes in WT and mutant cells in low glucose used in panel (B). Cells counted (Pre10-GFP, Rpn5-GFP, Rpn2-GFP): WT (278, 273, 391), vps27Δ (274, 265, 434), vps28Δ (437, 386, 253), vps37Δ (359, 323, 426), vps25Δ (312, 246, 319), snf7Δ (233, 253, 325), and vps4Δ (301, 336, 437). Results plotted as mean±sd. *, P<0.05 (ANOVA single factor analysis comparing ESCRT mutants to WT). (TIF) Click here for additional data file.

RP-containing irreversible proteasome aggregates maintain a basal colocalization level with IPODs in glucose-starved AMPK mutants.

(A) Quantification of colocalized Rpn5-mC and Hsp42-GFP in WT (577 cells counted [1d], 542 [2d], 748 [3d], 792 [4d], 446 [7d]), snf4Δ (546 [1d], 790 [2d], 838 [3d], 368 [4d], 524 [7d]), and snf1Δ (316 [1d], 656 [2d], 530 [3d], 374 [4d], 266 [7d]) live cells in 0.025% glucose. (B) Percentage of living cells with colocalized Rpn5-mC and Hsp42-GFP. WT (292 cells counted [1d], 580 [2d], 457 [3d], 419 [4d], 301 [7d]), snf4Δ (622 [1d], 547 [2d], 403 [3d], 440 [4d], 164 [7d]), and snf1Δ (555 [1d], 465 [2d], 422 [3d], 434 [4d], 212 [7d]) cultures were grown in glucose-free medium. (C) Quantification of colocalized Rpn2-mC and Hsp42-GFP in WT (469 cells counted [1d], 402 [2d], 498 [3d], 460 [4d], 435 [7d]), snf4Δ (355 [1d], 573 [2d], 704 [3d], 494 [4d], 499 [7d]), and snf1Δ (459 [1d], 445 [2d], 555 [3d], 535 [4d], 348 [7d]) live cells in 0.025% glucose. (D) Percentage of living cells with colocalized Rpn2-mC and Hsp42-GFP. WT (347 cells counted [1d], 481 [2d], 601 [3d], 396 [4d], 367 [7d]), snf4Δ (471 [1d], 541 [2d], 352 [3d], 385 [4d], 183 [7d]), and snf1Δ (563 [1d], 415 [2d], 325 [3d], 347 [4d], 138 [7d]) cultures were grown in glucose-free medium. Results plotted as mean±sd.. (TIF) Click here for additional data file.

Reversible PSGs are assembled in macroautophagy mutant and vacuolar protease-deficient mutant cells.

(A) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in low glucose-starved core macroautophagy mutants (atg11Δ, atg17Δ, atg39Δ, atg15Δ) from figure panel (5A). (B) Epifluorescence images of core macroautophagy mutants (atg8Δ, atg11Δ, atg17Δ, atg39Δ, atg15Δ) and vacuolar protease-deficient mutants (prb1Δ, pep4Δ, pep4Δ prb1Δ) cells at the indicated time recovery in 2% glucose. Cells were from figure panel (5A). White arrows mark PSGs in panel (A) and the nucleus in panel (B). (C) Anti-GFP immunoblot analyses of WT and a vacuolar lipase-deficient mutant atg15Δ cells under nitrogen starvation for ~1 day at 30°C. (D) Epifluorescence images of nitrogen-starved WT and atg15Δ cells from panel (C). White arrowheads mark GFP-tagged full length proteasomes in the vacuole lumen in atg15Δ cells. BF: bright field. Scale bars, 5 μm. (TIF) Click here for additional data file.

Catalytically inhibited proteasomes enhance proteasome fragmentation while compromising PSG assembly during glucose starvation.

(A) Anti-GFP immunoblot analyses of Pre6-GFP (a CP subunit, α4), Rpn5-GFP, and Rpn2-GFP in pdr5Δ mutant cells. Cells were harvested from cultures in SC medium containing low glucose (0.025% C) containing either DMSO (control) or 50 μM MG132 and grown for ~1 day at 30°C. (B) Epifluorescence images of control and MG132-treated cells from panel (A). White arrows mark PSGs. BF: bright field. Scale bar, 5 μm. (TIF) Click here for additional data file.

Normal PSG dynamics and proteasome subunit cleavage in nvj1Δ cells, which are incapable of piecemeal autophagy of the nucleus.

(A) Anti-GFP immunoblot analyses of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in nvj1Δ mutant cells under low glucose starvation for ~4 days at 30°C. (B) Epifluorescence images of Pre10-GFP, Rpn5-GFP, and Rpn2-GFP in nvj1Δ cells during low glucose starvation and at the indicated times, recovery in 2% glucose. Cells were from figure panel (A). White arrows mark PSGs in the low glucose panels and the nucleus in the glucose refeeding panels. BF: bright field. Scale bar, 5 μm. (TIF) Click here for additional data file.

Cell viability of mutant cells under low glucose conditions.

Cell viability assay of WT cells, ESCRT mutants (vps27Δ, vps28Δ, vps25Δ, snf7Δ, vps4Δ), AMPK mutants (snf1Δ and snf4Δ), and proteasome mutants (sem1Δ and pre9Δ) using propidium iodide (PI) staining at day 4 and day 7 in low glucose (30°C). Cells counted (n = 4d, 7d) in WT (775, 668), vps27Δ (904, 644), vps28Δ (706, 652), vps25Δ (761, 715), snf7Δ (835, 659), vps4Δ (636, 654), snf4Δ (843, 685), snf1Δ (842, 608), sem1Δ (713, 731), and pre9Δ (676, 742). (TIF) Click here for additional data file.

PSGs are associated with the vacuolar membrane invagination in low glucose-starved atg8Δ pep4Δ prb1Δ cells.

Confocal time-lapse images of Pre10-GFP showing that CP-containing PSGs were associated with the vacuolar membrane invagination in atg8Δ pep4Δ prb1Δ mutant cells that were in low glucose for ~1 day at 30°C. The time-lapse video was composed of 40 frames of images with 1.27 s scanning time for each frame and played at 4 frames per second; the real time length was 49.47 s for this video. (MP4) Click here for additional data file. Confocal time-lapse images of Rpn5-GFP showing that lid-containing PSGs were associated with the vacuolar membrane invagination in atg8Δ pep4Δ prb1Δ mutant cells that were in low glucose for ~1 day at 30°C. The time-lapse video was composed of 40 frames of images with 1.27 s scanning time for each frame and played at 4 frames per second; the real time length was 49.47 s for this video. (MP4) Click here for additional data file. Confocal time-lapse images of Rpn2-GFP showing that base-containing PSGs were associated with the vacuolar membrane invagination in atg8Δ pep4Δ prb1Δ mutant cells that were in low glucose for ~1 day at 30°C. The time-lapse video was composed of 40 frames of images with 1.27 s scanning time for each frame and played at 4 frames per second; the real time length was 49.47 s for this video. (MP4) Click here for additional data file.

Lists of hits from genetic screening of yeast deletion library.

(XLSX) Click here for additional data file.

Yeast strains used in this study.

(DOCX) Click here for additional data file. 24 Sep 2019 * Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out. * Dear Dr. Hochstrasser, Thank you very much for submitting your Research Article entitled 'AMPK regulates ESCRT-dependent microautophagy of proteasomes concomitant with proteasome storage granule assembly during glucose starvation' to PLOS Genetics. Your manuscript was evaluated at the editorial level and by three independent peer reviewers. Each of the reviewers highlighted the novelty and importance of your discoveries; moreover, in general, the reviewers concluded that your studies were well conducted and the majority of the data were convincing. 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Reviewer #1: PGENETICS-D-19-01412 The work describes an AMPK Snf1- and ESCRT-dependent sorting pathway for micro-autophagy of presumably aberrant proteasomes versus the sequestration of still functional proteasomes into proteasome storage granules (PSGs) during glucose starvation. The work is based on Yeast Cell Biology by using in vivo fluorescence microscopy of yeast cells expressing GFP-labelled proteasomal subunits, electron microscopy and Western blot analysis. Despite limitations of these techniques the work is interesting and will inspire the scientific community to analyze quality control pathways not only of proteasomes but also of other giant protein complexes which might be recycled or stored in liquid liquid phase condensates depending on AMPK Snf1. Several points must be addressed before a revision of the paper can be considered. Major points: Fig. 1E, immunogold labelling was performed with anti-CP (Enzo #BML-PW9355), Please show a Western blot of total lysate and purified proteasomes for antibody specificity. EM images do not show gold particles accumulating in a spherical ‘organelle’ with ~ 500 nm diameter. Achievements over previous EM images showing clear clusters of gold particles with ~ 100-200 nm diameter must be discussed (Laporte et al. 2008, JCB). Did GFP antibodies result in similar immuno gold proteasome localization ? Fig. 6E. One to two gold particles on an EM micrograph are not statistically relevant for making sweeping claims. Please provide quantification for justification. p.11, 232 Where do proteasomes localize in vps4 snf1 double null mutants ? p. 11, 228 What is the evidence that Vph1-GFP is suited as a marker for the class E-like compartment ? Would Cps1 be a better choice to identify this dot at the vacuole as a class-E like compartment (jcs.biologists.org/content/125/21/5208) ? Fig. 3B requires a statistical analysis for the coincidence of Vph1 with proteasomes in the same spot at the vacuole. Moreover, V-type ATPase (Vph1 subunit) disassembles with glucose deprivation (Martinez and Munoz, 2008). Is Vph1 then invaginated into the vacuole at the class E-like compartment for lysosomal degradation ? The rational for choosing Vph1 as class E marker is unclear. p. 16, 342-345. To create cells bearing large numbers of misassembled or abnormal proteasomes…how is this possible, since after 4 days growth to stationary phase the new synthesis of proteasomal precursor complexes is stalled. Will all proteasomes in sem1 null and pre9 null be dysfunctional, thus not sequestered into PSGs ? Did you also analyze ump1 null mutants with severe defects in proteasome assembly ? They show giant PSG formation. Why are aberrant proteasomes in sem1, pre9 and ump1 null not located in IPODs, if only functional proteasomes are worth to be sequestered into PSGs ? p. 50, 1067 What is an irreversible PSG ? Per definition PSGs are reversible and motile. Are irreversible PSGs converted into IPOD ? p. 20, 452 ‘adjacent to the vacuolar membrane during PSG assembly’ is misleading…Laporte et al. 2008 (Fig. 2B) clearly showed that PSGs arise at the NE, when proteasomes exit the nucleus during the transition from proliferation to quiescence. Figs. 1 to 3 Fluorescence microscopy studies need to be quantified, n≥200 cells, also for supplementary Figures. Fig. 2B. The vacuolar membrane can hardly be seen by non-experts. The 4X magnifications are dark grey pixels on a light grey background with no clue how the vacuolar membrane was assigned by the doted white line. The vacuolar marker FM4-64 or MDY-64 should be used to visualize the vacuolar membrane in red or yellow, while proteasome dots are green. Figs. 2A, 3A and 5A. Are the Western blots representative for three biological replicates? The proteasome dots at the vacuole seem to be close to the nucleus. Did you also check for piecemeal microphagy by using Nvj1 as marker ? Fig. S5. According to Marshall & Vierstra the addition of MG132 for 4 h induces proteasome dots in yeast (eLife 2018). Kaganovich et al. (2008 Nature) observed JUNQ upon MG132 exposure. JUNQ and PSGs are both reversible and may describe the same membraneless organelle. How do the authors explain the discrepancy between these observations ? Was MG132 after 1 day treatment still effective ? Minor points: p. 3, 55; p.4, 80 What is the evidence for phase separation of PSGs ? It should be mentioned that Snf1 was also identified in a previous high-content screen for PSG formation, Gu et al. 2017 Fig. 1B. p.10, 222 S2A Fig. turn around p. 12, 262-265 unclear longwinded sentence p. 14, 297-299 Is the vacuole acidification dependent of the cytoplasmic pH and the amount of glucose in the cytoplasm ? If the vacuolar pH optimum is not reached, the vacuolar proteases may not be fully active leading the proteasome fragmentation. Please comment. p. 19, 413 as true for blm10 null mutants (Weberruss et al. 2013) p. 21 last paragraph about LDs is distracting and can be deleted p. 33, 793-794 repetition of sentence before p. 38, exact number of cells can be replaced by n≥200 In the discussion I miss a clear statement about the authors’ new findings with regard to Ben-Aroya’s paper (ref. 17) who already proposed a sorting mechanism of PSGs versus IPODs at the endosome. Own achievements will not be diminished, if previous work from other groups is honestly acknowledged. There are only a couple of papers on PSG which we should know by heart and cite properly. Reviewer #2: In this manuscript, Li et al. study the dynamics of proteasome assemblies and proteasome quality control in the face of various nutrient stresses, and the contribution of yeast AMPK and ESCRT complexes in this regulation. Summary and general assessment of the manuscript The authors use a high-content imaging screening approach to look at proteasome storage granules (PSG) dissipation upon glucose refeeding. The fact that both AMPK, a well-known energy-sensing system, and ESCRT proteins, known to be involved in the protein targeting to the vacuole through various processes such as MVB sorting, microautophagy, etc, are identified is very interesting and indeed merits further consideration. Then, the authors move on to the study of proteasome macroautophagy induced under nitrogen limitation. The authors describe that ESCRT proteins are required for this process, and as such, this is reminiscent of ESCRT-dependent microautophagy described in the same conditions (Ref 22). Proteasome subunits localize to perivacuolar dots in ESCRT mutants but whether they are of endosomal origin is not addressed; similarly, the mechanism by which ESCRT may help proteasome degradation remains unexplored at this stage. Building upon previous work by the Ohsumi lab (Ref 41), the authors draw similarities between proteasome degradation and autophagy induction during C starvation. Similar to what has been described, they observe that switching cells to low glucose (0.025% in their case) triggers proteasome degradation, whereas this is barely the case for the no-glucose condition (in which there are no major changes in the abundance of FL proteins, except maybe for Rpn2). Again, proteasome degradation requires most of the ESCRT components tested as observed under N starvation, but this time it also involves AMPK, in line with the fact that autophagy induction in these conditions is AMPK dependent (Ref 41). It should also be noted that this degradation is not complete - only partial degradation occurs, and the amount of free GFP is overall comparable in the WT and the mutants tested. However, there are differences in the proteolytic fragments likely resulting from incomplete digestion, which the authors use a readout. This partial digestion, or as the authors put it, this “fragmentation”, appears to occur before internalization in the vacuole since proteasome subunits localize at the periphery of the vacuolar membrane in the aberrant “class E” compartments observed in ESCRT mutants. As shown later in the manuscript, this fragmentation is independent of many autophagy genes, but still required vacuolar proteases, which is a bit puzzling. Another perivacuolar compartment that is important for PSG biology is the protein deposit compartment, IPOD as defined by the marker Hsp42. Co-localization analyses show a strikingly increased association of Pre1 with the IPOD in AMPK mutant, suggesting that AMPK normally prevents association of PSG to the IPOD upon switching cells to low glucose conditions. This is an important observation because Snf1 is inhibited by glucose, so I was initially puzzled as to how Snf1 activity could be solicited when glucose is added back. As the authors suggest, AMPK may be required to salvage proteasomes away from IPOD structures or “terminal” PSGs. A strong point is the author’s efforts to understand the physiological function of these assemblies & associated regulation. The authors hypothesize that aberrant proteasomes may be generated by C stress - a hypothesis that is not further discussed - and that these could be targeted by microautophagy. Genetic or chemical perturbation of proteasome integrity indeed correlate with an alteration of PSG formation and increased proteasome degradation. Overall, I found the topic very interesting with a nice set of supporting observations which are technically very well performed. A limitation is that the study is quite broad, making interesting connections between PSG dynamics, quality control and proteasome degradation, AMPK signaling, ESCRT biology, N- starvation and C-starvation or even C removal, autophagy, etc. and consequently many questions remain unanswered. In the end, key questions such how AMPK controls PSG dissipation, how ESCRT “collect” proteasomes for their degradation and why all ESCRT subunits are not always required, how some proteasome subunits escape this regulation, to what do proteasome “fragmentation” and “full degradation” correspond, remain unanswered. Most of these questions are mentioned in the discussion with possible hypotheses, and I understand that each of these questions could be a study in itself, but I was left under the impression that the manuscript is a collection of many observations and is sometimes too superficial. I am also not sure that the order of appearance of the findings in the manuscript is optimal. The reader is carried from Glc refeeding to N starvation, then to C starvation, then back to Glc refeeding, then back to autophagy, etc. and I think that shuffling some parts could generate a more readable manuscript. Of course, this is just my opinion, but maybe the authors can give it a thought. Specific comments. -Fig 1, B and D: the use of profiles from one cell is questionable and doesn’t add much. These profiles can vary a lot depending on how they are drawn across the nucleus and in the end, I think the picture is more informative. Same for S1, B. -p7 l.137: From the results section, it is not clear how the authors proceed to “refeed” cells with glucose and see PSG dissipation - this could be better explained. -The description of the results of the high-content imaging screen is vague - the precise number of hits is not disclosed, neither is the list. The authors mention “enrichment” but no values are given. -It came as a surprise that ESCRT proteins display defects in PSG formation, a finding that was not reported in the previous paper (Ref 16) which identified genes involved in PSG formation, also using Rpn5 as a proxy. Is there something I didn’t get, or could the authors elaborate? - p8, l.175: the references cited concern mammalian cells, very few studies link AMPK with autophagy in yeast. - Fig. 3B: Do proteasome subunits accumulate in the class E compartment in vps37∆ mutant? If yes, then how could Vps37 be dispensable? - Fig 6D - why is it that the proteasome subunits are now in the vacuolar lumen in the vps4∆ background, whereas they were perivacuolar by fluorescence microscopy (3B). How representative are these images? - I am wondering how the authors can be sure that the proteolytic fragments observed are degraded in vivo and not during protein preparation. The authors use alkaline lysis, which may not be as stringent regarding endogenous protease activity as is cell lysis in TCA. Have the authors considered this? Reviewer #3: In this manuscript, Li et al. explore the mechanism of proteasome degradation during glucose starvation in yeast. In a genome-wide screen for deletion mutants defective in this process they identified AMPK and ESCRT. The effect of these mutations on the dynamics of PSGs is determined here using microscopy and immune-blot analyses of proteasomal proteins. Based on their results the authors draw a number of major decisions. First, under nitrogen starvation ESCRT, but not AMPK, plays a role in macro-autophagy of the proteasome. In contrast, ESCRT and AMPK mediate the assembly under glucose depletion and disassembly when glucose is added back, respectively, of PSGs and their delivery to the lysosome through micro-autophagy. Second, mostly aberrant proteasomes are delivered to the vacuole via micro-autophagy. Third, without AMPK, CT, but not RP, are sequestered into iPOD, showing different regulation of the two parts of proteasomes. It was previously shown that while macro-autophagy is important during nitrogen starvation, micro-autophagy is important during glucose starvation. It is also known that ESCRT plays a role in both macro- and micro-autophagy. Evidence presented here shows that this is true also for proteasomes. Because proteasome homeostasis is crucial for cells, this is valuable information. The really novel conclusions are identification of AMPK as a regulator of micro-autophagy and of iPOD as an alternative to PSGs for CP. Showing preferential delivery of aberrant proteasomes for degradation is also important. I have a number of criticisms and suggestions that I think would improve the manuscript Major criticism: 1. Evidence for micro-autophagy is shown in Figure 6. The data needs quantification and a statement of the number of repeats (this is true for a number of other results, especially figure 7). The microscopy and EM analyses need controls of cells grown with glucose and under nitrogen starvation, and most importantly, to show AMPK mutant control. Finally, I suggest using the mutants with aberrant proteasomes (Figure 7) in this experiment. 2. “Proteasome fragmentation” is partial degradation of proteasomal proteins. The authors need to discuss why would the way proteasomes get to the vacuole would determine whether they would be fully or partially degraded. Is it true also for other cargos? 3. Figure 1: PSGs are identified as fluorescent blobs of a single tagged marker. I think that at least two markers should be used together. 4. Figure 2: The statement in the title (page 8) that ESCRT is required for macro-autophagy is not justified. A comparison between atgX∆ and ESCRT mutants would show whether it is required or plays a role. 5. Figure 2: How do the authors explain that CP is not delivered in the vacuole in vps4∆, while it is delivered in other ESCRT mutants? 6. Figure 3 is confusing: A. Under glucose starvation free GFP is seen in all mutants. Why? ESCRT mutants look like WT: why the authors conclude that ESCRT is involved? B. Why PSG co-localize with compartment E? Other points: 1. It would be good to show that the mutant cells used here are alive after 4-7 days in glucose deprivation. 2. Clarify if PSGs form also under nitrogen starvation 3. Page 18, line 6: “probably facilitating sealing of … autophagosomes”: Shown in Zhou et al., JCB 2015. 4. Specify throughout the text and legends whether proteasome subunits used are CP or RP. ********** Have all data underlying the figures and results presented in the manuscript been provided? Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No 23 Oct 2019 Submitted filename: Li et al. Response to reviewers.pdf Click here for additional data file. 7 Nov 2019 Dear Dr Hochstrasser, We are pleased to inform you that your manuscript entitled "AMPK regulates ESCRT-dependent microautophagy of proteasomes concomitant with proteasome storage granule assembly during glucose starvation" has been editorially accepted for publication in PLOS Genetics. Congratulations! [GPC note: Reviewer #2 had some final comments (see below) that you may want to consider as you prepare you final draft for the production team (the editorial team will not need to reevaluate).] Before your submission can be formally accepted and sent to production you will need to complete our formatting changes, which you will receive in a follow up email. Please be aware that it may take several days for you to receive this email; during this time no action is required by you. Please note: the accept date on your published article will reflect the date of this provisional accept, but your manuscript will not be scheduled for publication until the required changes have been made. Once your paper is formally accepted, an uncorrected proof of your manuscript will be published online ahead of the final version, unless you’ve already opted out via the online submission form. If, for any reason, you do not want an earlier version of your manuscript published online or are unsure if you have already indicated as such, please let the journal staff know immediately at plosgenetics@plos.org. In the meantime, please log into Editorial Manager at https://www.editorialmanager.com/pgenetics/, click the "Update My Information" link at the top of the page, and update your user information to ensure an efficient production and billing process. Note that PLOS requires an ORCID iD for all corresponding authors. Therefore, please ensure that you have an ORCID iD and that it is validated in Editorial Manager. To do this, go to ‘Update my Information’ (in the upper left-hand corner of the main menu), and click on the Fetch/Validate link next to the ORCID field.  This will take you to the ORCID site and allow you to create a new iD or authenticate a pre-existing iD in Editorial Manager. If you have a press-related query, or would like to know about one way to make your underlying data available (as you will be aware, this is required for publication), please see the end of this email. If your institution or institutions have a press office, please notify them about your upcoming article at this point, to enable them to help maximise its impact. Inform journal staff as soon as possible if you are preparing a press release for your article and need a publication date. Thank you for submitting this interesting study to PLOS Genetics and for supporting open-access publishing; we are looking forward to publishing your work in PLOS Genetics! Yours sincerely, Anita K. Hopper Associate Editor PLOS Genetics Gregory P. Copenhaver Editor-in-Chief PLOS Genetics www.plosgenetics.org Twitter: @PLOSGenetics ---------------------------------------------------- Comments from the reviewers (if applicable): Reviewer's Responses to Questions Comments to the Authors: Please note here if the review is uploaded as an attachment. Reviewer #1: The revised version of the manuscript can be accepted, since my major concerns, partly overlapping with reviewer #3, are met. All reviewers agree that the work is interesting and worth to be published. Still the work is a potpourri of some mysterious observations to be investigated in more detail in future. No further attachment is uploaded. Reviewer #2: I thank the authors for considering all of my comments and for their response. I am overall satisfied with the revision. It remains that the differential role of ESCRT subunits is not sufficiently discussed for my taste (eg the minor contribution of ESCRT-I subunits such as Vps37 as discussed in the rebuttal p.9/Fig3B) - or did I miss it?. A sentence like “The results suggest that ESCRT-I components do not contribute equally to proteasome degradation and trafficking, perhaps due to different mechanistic roles of ESCRT-I components" (cf rebuttal) would do the job. The data on Vps4 already suggests some differences between MVB sorting and ESCRT-dependent microautophagy. There are other cellular processes where ESCRT function differently than at the MVB (eg. cytokinesis). This could be discussed. I am also not very much convinced by the data provided concerning proteasome “fragmentation” (rebuttal / p.10). I still don’t understand clearly how this fragmentation happen and this point was also raised by another reviewer. The additional data provided by the authors show that when doing protein extraction in harsh conditions using TCA, this “fragmentation” no longer occurs. I agree that the rest of the extraction methods seem to show a conserved pattern of degradation and that the TCA seem to give a lower yield of extraction, as pointed out by the authors to justify why they should stick to what they did, but this suggests to me that this degradation occurs in the tube and not in the cell. Of course, there must be some reason why this fragmentation preferentially happens in low glucose vs no glucose or low N but this may have to do with a lot of things (change in global protease activity? Accessibility of proteasome subunits to proteases after breaking the cells etc). Since this only used as a readout to discriminate between various degradation pathway, understanding the basis of this behavior wouldn’t change the conclusions so I’m enclined to suggest the acceptance of the paper despite this. Reviewer #3: Review PGENETICS-D-19-01412R1 In the revised manuscript and their response, the authors addressed all my concerns. ********** Have all data underlying the figures and results presented in the manuscript been provided? Large-scale datasets should be made available via a public repository as described in the PLOS Genetics data availability policy, and numerical data that underlies graphs or summary statistics should be provided in spreadsheet form as supporting information. Reviewer #1: Yes Reviewer #2: Yes Reviewer #3: Yes ********** PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No Reviewer #3: No ---------------------------------------------------- Data Deposition If you have submitted a Research Article or Front Matter that has associated data that are not suitable for deposition in a subject-specific public repository (such as GenBank or ArrayExpress), one way to make that data available is to deposit it in the Dryad Digital Repository. As you may recall, we ask all authors to agree to make data available; this is one way to achieve that. A full list of recommended repositories can be found on our website. The following link will take you to the Dryad record for your article, so you won't have to re‐enter its bibliographic information, and can upload your files directly: http://datadryad.org/submit?journalID=pgenetics&manu=PGENETICS-D-19-01412R1 More information about depositing data in Dryad is available at http://www.datadryad.org/depositing. 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If there's anything the journal should know or you'd like more information, please get in touch via plosgenetics@plos.org. 11 Nov 2019 PGENETICS-D-19-01412R1 AMPK regulates ESCRT-dependent microautophagy of proteasomes concomitant with proteasome storage granule assembly during glucose starvation Dear Dr Hochstrasser, We are pleased to inform you that your manuscript entitled "AMPK regulates ESCRT-dependent microautophagy of proteasomes concomitant with proteasome storage granule assembly during glucose starvation" has been formally accepted for publication in PLOS Genetics! Your manuscript is now with our production department and you will be notified of the publication date in due course. The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Soon after your final files are uploaded, unless you have opted out or your manuscript is a front-matter piece, the early version of your manuscript will be published online. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers. Thank you again for supporting PLOS Genetics and open-access publishing. We are looking forward to publishing your work! With kind regards, Nicholas White PLOS Genetics On behalf of: The PLOS Genetics Team Carlyle House, Carlyle Road, Cambridge CB4 3DN | United Kingdom plosgenetics@plos.org | +44 (0) 1223-442823 plosgenetics.org | Twitter: @PLOSGenetics
  65 in total

1.  Proteasome disassembly and downregulation is correlated with viability during stationary phase.

Authors:  Monika Bajorek; Daniel Finley; Michael H Glickman
Journal:  Curr Biol       Date:  2003-07-01       Impact factor: 10.834

Review 2.  Current knowledge of the pre-autophagosomal structure (PAS).

Authors:  Kuninori Suzuki; Yoshinori Ohsumi
Journal:  FEBS Lett       Date:  2010-02-05       Impact factor: 4.124

3.  Quantitative live-cell imaging reveals spatio-temporal dynamics and cytoplasmic assembly of the 26S proteasome.

Authors:  Chan-Gi Pack; Haruka Yukii; Akio Toh-e; Tai Kudo; Hikaru Tsuchiya; Ai Kaiho; Eri Sakata; Shigeo Murata; Hideyoshi Yokosawa; Yasushi Sako; Wolfgang Baumeister; Keiji Tanaka; Yasushi Saeki
Journal:  Nat Commun       Date:  2014-03-06       Impact factor: 14.919

Review 4.  Three Distinct Types of Microautophagy Based on Membrane Dynamics and Molecular Machineries.

Authors:  Masahide Oku; Yasuyoshi Sakai
Journal:  Bioessays       Date:  2018-04-30       Impact factor: 4.345

Review 5.  Proteasome Structure and Assembly.

Authors:  Lauren Budenholzer; Chin Leng Cheng; Yanjie Li; Mark Hochstrasser
Journal:  J Mol Biol       Date:  2017-06-03       Impact factor: 5.469

Review 6.  SNF1/AMPK pathways in yeast.

Authors:  Kristina Hedbacker; Marian Carlson
Journal:  Front Biosci       Date:  2008-01-01

7.  The Vps27p Hse1p complex binds ubiquitin and mediates endosomal protein sorting.

Authors:  Patricia S Bilodeau; Jennifer L Urbanowski; Stanley C Winistorfer; Robert C Piper
Journal:  Nat Cell Biol       Date:  2002-07       Impact factor: 28.824

Review 8.  Autophagic processes in yeast: mechanism, machinery and regulation.

Authors:  Fulvio Reggiori; Daniel J Klionsky
Journal:  Genetics       Date:  2013-06       Impact factor: 4.562

Review 9.  Atg8: an autophagy-related ubiquitin-like protein family.

Authors:  Tomer Shpilka; Hilla Weidberg; Shmuel Pietrokovski; Zvulun Elazar
Journal:  Genome Biol       Date:  2011-07-27       Impact factor: 13.583

10.  Ubiquitin orchestrates proteasome dynamics between proliferation and quiescence in yeast.

Authors:  Zhu Chao Gu; Edwin Wu; Carolin Sailer; Julia Jando; Erin Styles; Ina Eisenkolb; Maike Kuschel; Katharina Bitschar; Xiaorong Wang; Lan Huang; Adriano Vissa; Christopher M Yip; Ravikiran S Yedidi; Helena Friesen; Cordula Enenkel
Journal:  Mol Biol Cell       Date:  2017-08-02       Impact factor: 4.138

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  10 in total

Review 1.  Microautophagy regulates proteasome homeostasis.

Authors:  Jianhui Li; Mark Hochstrasser
Journal:  Curr Genet       Date:  2020-02-20       Impact factor: 3.886

2.  Selective microautophagy of proteasomes is initiated by ESCRT-0 and is promoted by proteasome ubiquitylation.

Authors:  Jianhui Li; Mark Hochstrasser
Journal:  J Cell Sci       Date:  2022-02-21       Impact factor: 5.285

Review 3.  The emerging mechanisms and functions of microautophagy.

Authors:  Liming Wang; Daniel J Klionsky; Han-Ming Shen
Journal:  Nat Rev Mol Cell Biol       Date:  2022-09-12       Impact factor: 113.915

4.  Assembly checkpoint of the proteasome regulatory particle is activated by coordinated actions of proteasomal ATPase chaperones.

Authors:  Asrafun Nahar; Vladyslava Sokolova; Suganya Sekaran; James D Orth; Soyeon Park
Journal:  Cell Rep       Date:  2022-06-07       Impact factor: 9.995

5.  Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.

Authors:  Daniel J Klionsky; Amal Kamal Abdel-Aziz; Sara Abdelfatah; Mahmoud Abdellatif; Asghar Abdoli; Steffen Abel; Hagai Abeliovich; Marie H Abildgaard; Yakubu Princely Abudu; Abraham Acevedo-Arozena; Iannis E Adamopoulos; Khosrow Adeli; Timon E Adolph; Annagrazia Adornetto; Elma Aflaki; Galila Agam; Anupam Agarwal; Bharat B Aggarwal; Maria Agnello; Patrizia Agostinis; Javed N Agrewala; Alexander Agrotis; Patricia V Aguilar; S Tariq Ahmad; Zubair M Ahmed; Ulises Ahumada-Castro; Sonja Aits; Shu Aizawa; Yunus Akkoc; Tonia Akoumianaki; Hafize Aysin Akpinar; Ahmed M Al-Abd; Lina Al-Akra; Abeer Al-Gharaibeh; Moulay A Alaoui-Jamali; Simon Alberti; Elísabet Alcocer-Gómez; Cristiano Alessandri; Muhammad Ali; M Abdul Alim Al-Bari; Saeb Aliwaini; Javad Alizadeh; Eugènia Almacellas; Alexandru Almasan; Alicia Alonso; Guillermo D Alonso; Nihal Altan-Bonnet; Dario C Altieri; Élida M C Álvarez; Sara Alves; Cristine Alves da Costa; Mazen M Alzaharna; Marialaura Amadio; Consuelo Amantini; Cristina Amaral; Susanna Ambrosio; Amal O Amer; Veena Ammanathan; Zhenyi An; Stig U Andersen; Shaida A Andrabi; Magaiver Andrade-Silva; Allen M Andres; Sabrina Angelini; David Ann; Uche C Anozie; Mohammad Y Ansari; Pedro Antas; Adam Antebi; Zuriñe Antón; Tahira Anwar; Lionel Apetoh; Nadezda Apostolova; Toshiyuki Araki; Yasuhiro Araki; Kohei Arasaki; Wagner L Araújo; Jun Araya; Catherine Arden; Maria-Angeles Arévalo; Sandro Arguelles; Esperanza Arias; Jyothi Arikkath; Hirokazu Arimoto; Aileen R Ariosa; Darius Armstrong-James; Laetitia Arnauné-Pelloquin; Angeles Aroca; Daniela S Arroyo; Ivica Arsov; Rubén Artero; Dalia Maria Lucia Asaro; Michael Aschner; Milad Ashrafizadeh; Osnat Ashur-Fabian; Atanas G Atanasov; Alicia K Au; Patrick Auberger; Holger W Auner; Laure Aurelian; Riccardo Autelli; Laura Avagliano; Yenniffer Ávalos; Sanja Aveic; Célia Alexandra Aveleira; Tamar Avin-Wittenberg; Yucel Aydin; Scott Ayton; Srinivas Ayyadevara; Maria Azzopardi; Misuzu Baba; Jonathan M Backer; Steven K Backues; Dong-Hun Bae; Ok-Nam Bae; Soo Han Bae; Eric H Baehrecke; Ahruem Baek; Seung-Hoon Baek; Sung Hee Baek; Giacinto Bagetta; Agnieszka Bagniewska-Zadworna; Hua Bai; Jie Bai; Xiyuan Bai; Yidong Bai; Nandadulal Bairagi; Shounak Baksi; Teresa Balbi; Cosima T Baldari; Walter Balduini; Andrea Ballabio; Maria Ballester; Salma Balazadeh; Rena Balzan; Rina Bandopadhyay; Sreeparna Banerjee; Sulagna Banerjee; Ágnes Bánréti; Yan Bao; Mauricio S Baptista; Alessandra Baracca; Cristiana Barbati; Ariadna Bargiela; Daniela Barilà; Peter G Barlow; Sami J Barmada; Esther Barreiro; George E Barreto; Jiri Bartek; Bonnie Bartel; Alberto Bartolome; Gaurav R Barve; Suresh H Basagoudanavar; Diane C Bassham; Robert C Bast; Alakananda Basu; Henri Batoko; Isabella Batten; Etienne E Baulieu; Bradley L Baumgarner; Jagadeesh Bayry; Rupert Beale; Isabelle Beau; Florian Beaumatin; Luiz R G Bechara; George R Beck; Michael F Beers; Jakob Begun; Christian Behrends; Georg M N Behrens; Roberto Bei; Eloy Bejarano; Shai Bel; Christian Behl; Amine Belaid; Naïma Belgareh-Touzé; Cristina Bellarosa; Francesca Belleudi; Melissa Belló Pérez; Raquel Bello-Morales; Jackeline Soares de Oliveira Beltran; Sebastián Beltran; Doris Mangiaracina Benbrook; Mykolas Bendorius; Bruno A Benitez; Irene Benito-Cuesta; Julien Bensalem; Martin W Berchtold; Sabina Berezowska; Daniele Bergamaschi; Matteo Bergami; Andreas Bergmann; Laura Berliocchi; Clarisse Berlioz-Torrent; Amélie Bernard; Lionel Berthoux; Cagri G Besirli; Sebastien Besteiro; Virginie M Betin; Rudi Beyaert; Jelena S Bezbradica; Kiran Bhaskar; Ingrid Bhatia-Kissova; Resham Bhattacharya; Sujoy Bhattacharya; Shalmoli Bhattacharyya; Md Shenuarin Bhuiyan; Sujit Kumar Bhutia; Lanrong Bi; Xiaolin Bi; Trevor J Biden; Krikor Bijian; Viktor A Billes; Nadine Binart; Claudia Bincoletto; Asa B Birgisdottir; Geir Bjorkoy; Gonzalo Blanco; Ana Blas-Garcia; Janusz Blasiak; Robert Blomgran; Klas Blomgren; Janice S Blum; Emilio Boada-Romero; Mirta Boban; Kathleen Boesze-Battaglia; Philippe Boeuf; Barry Boland; Pascale Bomont; Paolo Bonaldo; Srinivasa Reddy Bonam; Laura Bonfili; Juan S Bonifacino; Brian A Boone; Martin D Bootman; Matteo Bordi; Christoph Borner; Beat C Bornhauser; Gautam Borthakur; Jürgen Bosch; Santanu Bose; Luis M Botana; Juan Botas; Chantal M Boulanger; Michael E Boulton; Mathieu Bourdenx; Benjamin Bourgeois; Nollaig M Bourke; Guilhem Bousquet; Patricia Boya; Peter V Bozhkov; Luiz H M Bozi; Tolga O Bozkurt; Doug E Brackney; Christian H Brandts; Ralf J Braun; Gerhard H Braus; Roberto Bravo-Sagua; José M Bravo-San Pedro; Patrick Brest; Marie-Agnès Bringer; Alfredo Briones-Herrera; V Courtney Broaddus; Peter Brodersen; Jeffrey L Brodsky; Steven L Brody; Paola G Bronson; Jeff M Bronstein; Carolyn N Brown; Rhoderick E Brown; Patricia C Brum; John H Brumell; Nicola Brunetti-Pierri; Daniele Bruno; Robert J Bryson-Richardson; Cecilia Bucci; Carmen Buchrieser; Marta Bueno; Laura Elisa Buitrago-Molina; Simone Buraschi; Shilpa Buch; J Ross Buchan; Erin M Buckingham; Hikmet Budak; Mauricio Budini; Geert Bultynck; Florin Burada; Joseph R Burgoyne; M Isabel Burón; Victor Bustos; Sabrina Büttner; Elena Butturini; Aaron Byrd; Isabel Cabas; Sandra Cabrera-Benitez; Ken Cadwell; Jingjing Cai; Lu Cai; Qian Cai; Montserrat Cairó; Jose A Calbet; Guy A Caldwell; Kim A Caldwell; Jarrod A Call; Riccardo Calvani; Ana C Calvo; Miguel Calvo-Rubio Barrera; Niels Os Camara; Jacques H Camonis; Nadine Camougrand; Michelangelo Campanella; Edward M Campbell; François-Xavier Campbell-Valois; Silvia Campello; Ilaria Campesi; Juliane C Campos; Olivier Camuzard; Jorge Cancino; Danilo Candido de Almeida; Laura Canesi; Isabella Caniggia; Barbara Canonico; Carles Cantí; Bin Cao; Michele Caraglia; Beatriz Caramés; Evie H Carchman; Elena Cardenal-Muñoz; Cesar Cardenas; Luis Cardenas; Sandra M Cardoso; Jennifer S Carew; Georges F Carle; Gillian Carleton; Silvia Carloni; Didac Carmona-Gutierrez; Leticia A Carneiro; Oliana Carnevali; Julian M Carosi; Serena Carra; Alice Carrier; Lucie Carrier; Bernadette Carroll; A Brent Carter; Andreia Neves Carvalho; Magali Casanova; Caty Casas; Josefina Casas; Chiara Cassioli; Eliseo F Castillo; Karen Castillo; Sonia Castillo-Lluva; Francesca Castoldi; Marco Castori; Ariel F Castro; Margarida Castro-Caldas; Javier Castro-Hernandez; Susana Castro-Obregon; Sergio D Catz; Claudia Cavadas; Federica Cavaliere; Gabriella Cavallini; Maria Cavinato; Maria L Cayuela; Paula Cebollada Rica; Valentina Cecarini; Francesco Cecconi; Marzanna Cechowska-Pasko; Simone Cenci; Victòria Ceperuelo-Mallafré; João J Cerqueira; Janete M Cerutti; Davide Cervia; Vildan Bozok Cetintas; Silvia Cetrullo; Han-Jung Chae; Andrei S Chagin; Chee-Yin Chai; Gopal Chakrabarti; Oishee Chakrabarti; Tapas Chakraborty; Trinad Chakraborty; Mounia Chami; Georgios Chamilos; David W Chan; Edmond Y W Chan; Edward D Chan; H Y Edwin Chan; Helen H Chan; Hung Chan; Matthew T V Chan; Yau Sang Chan; Partha K Chandra; Chih-Peng Chang; Chunmei Chang; Hao-Chun Chang; Kai Chang; Jie Chao; Tracey Chapman; Nicolas Charlet-Berguerand; Samrat Chatterjee; Shail K Chaube; Anu Chaudhary; Santosh Chauhan; Edward Chaum; Frédéric Checler; Michael E Cheetham; Chang-Shi Chen; Guang-Chao Chen; Jian-Fu Chen; Liam L Chen; Leilei Chen; Lin Chen; Mingliang Chen; Mu-Kuan Chen; Ning Chen; Quan Chen; Ruey-Hwa Chen; Shi Chen; Wei Chen; Weiqiang Chen; Xin-Ming Chen; Xiong-Wen Chen; Xu Chen; Yan Chen; Ye-Guang Chen; Yingyu Chen; Yongqiang Chen; Yu-Jen Chen; Yue-Qin Chen; Zhefan Stephen Chen; Zhi Chen; Zhi-Hua Chen; Zhijian J Chen; Zhixiang Chen; Hanhua Cheng; Jun Cheng; Shi-Yuan Cheng; Wei Cheng; Xiaodong Cheng; Xiu-Tang Cheng; Yiyun Cheng; Zhiyong Cheng; Zhong Chen; Heesun Cheong; Jit Kong Cheong; Boris V Chernyak; Sara Cherry; Chi Fai Randy Cheung; Chun Hei Antonio Cheung; King-Ho Cheung; Eric Chevet; Richard J Chi; Alan Kwok Shing Chiang; Ferdinando Chiaradonna; Roberto Chiarelli; Mario Chiariello; Nathalia Chica; Susanna Chiocca; Mario Chiong; Shih-Hwa Chiou; Abhilash I Chiramel; Valerio Chiurchiù; Dong-Hyung Cho; Seong-Kyu Choe; Augustine M K Choi; Mary E Choi; Kamalika Roy Choudhury; Norman S Chow; Charleen T Chu; Jason P Chua; John Jia En Chua; Hyewon Chung; Kin Pan Chung; Seockhoon Chung; So-Hyang Chung; Yuen-Li Chung; Valentina Cianfanelli; Iwona A Ciechomska; Mariana Cifuentes; Laura Cinque; Sebahattin Cirak; Mara Cirone; Michael J Clague; Robert Clarke; Emilio Clementi; Eliana M Coccia; Patrice Codogno; Ehud Cohen; Mickael M Cohen; Tania Colasanti; Fiorella Colasuonno; Robert A Colbert; Anna Colell; Miodrag Čolić; Nuria S Coll; Mark O Collins; María I Colombo; Daniel A Colón-Ramos; Lydie Combaret; Sergio Comincini; Márcia R Cominetti; Antonella Consiglio; Andrea Conte; Fabrizio Conti; Viorica Raluca Contu; Mark R Cookson; Kevin M Coombs; Isabelle Coppens; Maria Tiziana Corasaniti; Dale P Corkery; Nils Cordes; Katia Cortese; Maria do Carmo Costa; Sarah Costantino; Paola Costelli; Ana Coto-Montes; Peter J Crack; Jose L Crespo; Alfredo Criollo; Valeria Crippa; Riccardo Cristofani; Tamas Csizmadia; Antonio Cuadrado; Bing Cui; Jun Cui; Yixian Cui; Yong Cui; Emmanuel Culetto; Andrea C Cumino; Andrey V Cybulsky; Mark J Czaja; Stanislaw J Czuczwar; Stefania D'Adamo; Marcello D'Amelio; Daniela D'Arcangelo; Andrew C D'Lugos; Gabriella D'Orazi; James A da Silva; Hormos Salimi Dafsari; Ruben K Dagda; Yasin Dagdas; Maria Daglia; Xiaoxia Dai; Yun Dai; Yuyuan Dai; Jessica Dal Col; Paul Dalhaimer; Luisa Dalla Valle; Tobias Dallenga; Guillaume Dalmasso; Markus Damme; Ilaria Dando; Nico P Dantuma; April L Darling; Hiranmoy Das; Srinivasan Dasarathy; Santosh K Dasari; Srikanta Dash; Oliver Daumke; Adrian N Dauphinee; Jeffrey S Davies; Valeria A Dávila; Roger J Davis; Tanja Davis; Sharadha Dayalan Naidu; Francesca De Amicis; Karolien De Bosscher; Francesca De Felice; Lucia De Franceschi; Chiara De Leonibus; Mayara G de Mattos Barbosa; Guido R Y De Meyer; Angelo De Milito; Cosimo De Nunzio; Clara De Palma; Mauro De Santi; Claudio De Virgilio; Daniela De Zio; Jayanta Debnath; Brian J DeBosch; Jean-Paul Decuypere; Mark A Deehan; Gianluca Deflorian; James DeGregori; Benjamin Dehay; Gabriel Del Rio; Joe R Delaney; Lea M D Delbridge; Elizabeth Delorme-Axford; M Victoria Delpino; Francesca Demarchi; Vilma Dembitz; Nicholas D Demers; Hongbin Deng; Zhiqiang Deng; Joern Dengjel; Paul Dent; Donna Denton; Melvin L DePamphilis; Channing J Der; Vojo Deretic; Albert Descoteaux; Laura Devis; Sushil Devkota; Olivier Devuyst; Grant Dewson; Mahendiran Dharmasivam; Rohan Dhiman; Diego di Bernardo; Manlio Di Cristina; Fabio Di Domenico; Pietro Di Fazio; Alessio Di Fonzo; Giovanni Di Guardo; Gianni M Di Guglielmo; Luca Di Leo; Chiara Di Malta; Alessia Di Nardo; Martina Di Rienzo; Federica Di Sano; George Diallinas; Jiajie Diao; Guillermo Diaz-Araya; Inés Díaz-Laviada; Jared M Dickinson; Marc Diederich; Mélanie Dieudé; Ivan Dikic; Shiping Ding; Wen-Xing Ding; Luciana Dini; Jelena Dinić; Miroslav Dinic; Albena T Dinkova-Kostova; Marc S Dionne; Jörg H W Distler; Abhinav Diwan; Ian M C Dixon; Mojgan Djavaheri-Mergny; Ina Dobrinski; Oxana Dobrovinskaya; Radek Dobrowolski; Renwick C J Dobson; Jelena Đokić; Serap Dokmeci Emre; Massimo Donadelli; Bo Dong; Xiaonan Dong; Zhiwu Dong; Gerald W Dorn Ii; Volker Dotsch; Huan Dou; Juan Dou; Moataz Dowaidar; Sami Dridi; Liat Drucker; Ailian Du; Caigan Du; Guangwei Du; Hai-Ning Du; Li-Lin Du; André du Toit; Shao-Bin Duan; Xiaoqiong Duan; Sónia P Duarte; Anna Dubrovska; Elaine A Dunlop; Nicolas Dupont; Raúl V Durán; Bilikere S Dwarakanath; Sergey A Dyshlovoy; Darius Ebrahimi-Fakhari; Leopold Eckhart; Charles L Edelstein; Thomas Efferth; Eftekhar Eftekharpour; Ludwig Eichinger; Nabil Eid; Tobias Eisenberg; N Tony Eissa; Sanaa Eissa; Miriam Ejarque; Abdeljabar El Andaloussi; Nazira El-Hage; Shahenda El-Naggar; Anna Maria Eleuteri; Eman S El-Shafey; Mohamed Elgendy; Aristides G Eliopoulos; María M Elizalde; Philip M Elks; Hans-Peter Elsasser; Eslam S Elsherbiny; Brooke M Emerling; N C Tolga Emre; Christina H Eng; Nikolai Engedal; Anna-Mart Engelbrecht; Agnete S T Engelsen; Jorrit M Enserink; Ricardo Escalante; Audrey Esclatine; Mafalda Escobar-Henriques; Eeva-Liisa Eskelinen; Lucile Espert; Makandjou-Ola Eusebio; Gemma Fabrias; Cinzia Fabrizi; Antonio Facchiano; Francesco Facchiano; Bengt Fadeel; Claudio Fader; Alex C Faesen; W Douglas Fairlie; Alberto Falcó; Bjorn H Falkenburger; Daping Fan; Jie Fan; Yanbo Fan; Evandro F Fang; Yanshan Fang; Yognqi Fang; Manolis Fanto; Tamar Farfel-Becker; Mathias Faure; Gholamreza Fazeli; Anthony O Fedele; Arthur M Feldman; Du Feng; Jiachun Feng; Lifeng Feng; Yibin Feng; Yuchen Feng; Wei Feng; Thais Fenz Araujo; Thomas A Ferguson; Álvaro F Fernández; Jose C Fernandez-Checa; Sonia Fernández-Veledo; Alisdair R Fernie; Anthony W Ferrante; Alessandra Ferraresi; Merari F Ferrari; Julio C B Ferreira; Susan Ferro-Novick; Antonio Figueras; Riccardo Filadi; Nicoletta Filigheddu; Eduardo Filippi-Chiela; Giuseppe Filomeni; Gian Maria Fimia; Vittorio Fineschi; Francesca Finetti; Steven Finkbeiner; Edward A Fisher; Paul B Fisher; Flavio Flamigni; Steven J Fliesler; Trude H Flo; Ida Florance; Oliver Florey; Tullio Florio; Erika Fodor; Carlo Follo; Edward A Fon; Antonella Forlino; Francesco Fornai; Paola Fortini; Anna Fracassi; Alessandro Fraldi; Brunella Franco; Rodrigo Franco; Flavia Franconi; Lisa B Frankel; Scott L Friedman; Leopold F Fröhlich; Gema Frühbeck; Jose M Fuentes; Yukio Fujiki; Naonobu Fujita; Yuuki Fujiwara; Mitsunori Fukuda; Simone Fulda; Luc Furic; Norihiko Furuya; Carmela Fusco; Michaela U Gack; Lidia Gaffke; Sehamuddin Galadari; Alessia Galasso; Maria F Galindo; Sachith Gallolu Kankanamalage; Lorenzo Galluzzi; Vincent Galy; Noor Gammoh; Boyi Gan; Ian G Ganley; Feng Gao; Hui Gao; Minghui Gao; Ping Gao; Shou-Jiang Gao; Wentao Gao; Xiaobo Gao; Ana Garcera; Maria Noé Garcia; Verónica E Garcia; Francisco García-Del Portillo; Vega Garcia-Escudero; Aracely Garcia-Garcia; Marina Garcia-Macia; Diana García-Moreno; Carmen Garcia-Ruiz; Patricia García-Sanz; Abhishek D Garg; Ricardo Gargini; Tina Garofalo; Robert F Garry; Nils C Gassen; Damian Gatica; Liang Ge; Wanzhong Ge; Ruth Geiss-Friedlander; Cecilia Gelfi; Pascal Genschik; Ian E Gentle; Valeria Gerbino; Christoph Gerhardt; Kyla Germain; Marc Germain; David A Gewirtz; Elham Ghasemipour Afshar; Saeid Ghavami; Alessandra Ghigo; Manosij Ghosh; Georgios Giamas; Claudia Giampietri; Alexandra Giatromanolaki; Gary E Gibson; Spencer B Gibson; Vanessa Ginet; Edward Giniger; Carlotta Giorgi; Henrique Girao; Stephen E Girardin; Mridhula Giridharan; Sandy Giuliano; Cecilia Giulivi; Sylvie Giuriato; Julien Giustiniani; Alexander Gluschko; Veit Goder; Alexander Goginashvili; Jakub Golab; David C Goldstone; Anna Golebiewska; Luciana R Gomes; Rodrigo Gomez; Rubén Gómez-Sánchez; Maria Catalina Gomez-Puerto; Raquel Gomez-Sintes; Qingqiu Gong; Felix M Goni; Javier González-Gallego; Tomas Gonzalez-Hernandez; Rosa A Gonzalez-Polo; Jose A Gonzalez-Reyes; Patricia González-Rodríguez; Ing Swie Goping; Marina S Gorbatyuk; Nikolai V Gorbunov; Kıvanç Görgülü; Roxana M Gorojod; Sharon M Gorski; Sandro Goruppi; Cecilia Gotor; Roberta A Gottlieb; Illana Gozes; Devrim Gozuacik; Martin Graef; Markus H Gräler; Veronica Granatiero; Daniel Grasso; Joshua P Gray; Douglas R Green; Alexander Greenhough; Stephen L Gregory; Edward F Griffin; Mark W Grinstaff; Frederic Gros; Charles Grose; Angelina S Gross; Florian Gruber; Paolo Grumati; Tilman Grune; Xueyan Gu; Jun-Lin Guan; Carlos M Guardia; Kishore Guda; Flora Guerra; Consuelo Guerri; Prasun Guha; Carlos Guillén; Shashi Gujar; Anna Gukovskaya; Ilya Gukovsky; Jan Gunst; Andreas Günther; Anyonya R Guntur; Chuanyong Guo; Chun Guo; Hongqing Guo; Lian-Wang Guo; Ming Guo; Pawan Gupta; Shashi Kumar Gupta; Swapnil Gupta; Veer Bala Gupta; Vivek Gupta; Asa B Gustafsson; David D Gutterman; Ranjitha H B; Annakaisa Haapasalo; James E Haber; Aleksandra Hać; Shinji Hadano; Anders J Hafrén; Mansour Haidar; Belinda S Hall; Gunnel Halldén; Anne Hamacher-Brady; Andrea Hamann; Maho Hamasaki; Weidong Han; Malene Hansen; Phyllis I Hanson; Zijian Hao; Masaru Harada; Ljubica Harhaji-Trajkovic; Nirmala Hariharan; Nigil Haroon; James Harris; Takafumi Hasegawa; Noor Hasima Nagoor; Jeffrey A Haspel; Volker Haucke; Wayne D Hawkins; Bruce A Hay; Cole M Haynes; Soren B Hayrabedyan; Thomas S Hays; Congcong He; Qin He; Rong-Rong He; You-Wen He; Yu-Ying He; Yasser Heakal; Alexander M Heberle; J Fielding Hejtmancik; Gudmundur Vignir Helgason; Vanessa Henkel; Marc Herb; Alexander Hergovich; Anna Herman-Antosiewicz; Agustín Hernández; Carlos Hernandez; Sergio Hernandez-Diaz; Virginia Hernandez-Gea; Amaury Herpin; Judit Herreros; Javier H Hervás; Daniel Hesselson; Claudio Hetz; Volker T Heussler; Yujiro Higuchi; Sabine Hilfiker; Joseph A Hill; William S Hlavacek; Emmanuel A Ho; Idy H T Ho; Philip Wing-Lok Ho; Shu-Leong Ho; Wan Yun Ho; G Aaron Hobbs; Mark Hochstrasser; Peter H M Hoet; Daniel Hofius; Paul Hofman; Annika Höhn; Carina I Holmberg; Jose R Hombrebueno; Chang-Won Hong Yi-Ren Hong; Lora V Hooper; Thorsten Hoppe; Rastislav Horos; Yujin Hoshida; I-Lun Hsin; Hsin-Yun Hsu; Bing Hu; Dong Hu; Li-Fang Hu; Ming Chang Hu; Ronggui Hu; Wei Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Jinlian Hua; Yingqi Hua; Chongmin Huan; Canhua Huang; Chuanshu Huang; Chuanxin Huang; Chunling Huang; Haishan Huang; Kun Huang; Michael L H Huang; Rui Huang; Shan Huang; Tianzhi Huang; Xing Huang; Yuxiang Jack Huang; Tobias B Huber; Virginie Hubert; Christian A Hubner; Stephanie M Hughes; William E Hughes; Magali Humbert; Gerhard Hummer; James H Hurley; Sabah Hussain; Salik Hussain; Patrick J Hussey; Martina Hutabarat; Hui-Yun Hwang; Seungmin Hwang; Antonio Ieni; Fumiyo Ikeda; Yusuke Imagawa; Yuzuru Imai; Carol Imbriano; Masaya Imoto; Denise M Inman; Ken Inoki; Juan Iovanna; Renato V Iozzo; Giuseppe Ippolito; Javier E Irazoqui; Pablo Iribarren; Mohd Ishaq; Makoto Ishikawa; Nestor Ishimwe; Ciro Isidoro; Nahed Ismail; Shohreh Issazadeh-Navikas; Eisuke Itakura; Daisuke Ito; Davor Ivankovic; Saška Ivanova; Anand Krishnan V Iyer; José M Izquierdo; Masanori Izumi; Marja Jäättelä; Majid Sakhi Jabir; William T Jackson; Nadia Jacobo-Herrera; Anne-Claire Jacomin; Elise Jacquin; Pooja Jadiya; Hartmut Jaeschke; Chinnaswamy Jagannath; Arjen J Jakobi; Johan Jakobsson; Bassam Janji; Pidder Jansen-Dürr; Patric J Jansson; Jonathan Jantsch; Sławomir Januszewski; Alagie Jassey; Steve Jean; Hélène Jeltsch-David; Pavla Jendelova; Andreas Jenny; Thomas E Jensen; Niels Jessen; Jenna L Jewell; Jing Ji; Lijun Jia; Rui Jia; Liwen Jiang; Qing Jiang; Richeng Jiang; Teng Jiang; Xuejun Jiang; Yu Jiang; Maria Jimenez-Sanchez; Eun-Jung Jin; Fengyan Jin; Hongchuan Jin; Li Jin; Luqi Jin; Meiyan Jin; Si Jin; Eun-Kyeong Jo; Carine Joffre; Terje Johansen; Gail V W Johnson; Simon A Johnston; Eija Jokitalo; Mohit Kumar Jolly; Leo A B Joosten; Joaquin Jordan; Bertrand Joseph; Dianwen Ju; Jeong-Sun Ju; Jingfang Ju; Esmeralda Juárez; Delphine Judith; Gábor Juhász; Youngsoo Jun; Chang Hwa Jung; Sung-Chul Jung; Yong Keun Jung; Heinz Jungbluth; Johannes Jungverdorben; Steffen Just; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Daniel Kaganovich; Alon Kahana; Renate Kain; Shinjo Kajimura; Maria Kalamvoki; Manjula Kalia; Danuta S Kalinowski; Nina Kaludercic; Ioanna Kalvari; Joanna Kaminska; Vitaliy O Kaminskyy; Hiromitsu Kanamori; Keizo Kanasaki; Chanhee Kang; Rui Kang; Sang Sun Kang; Senthilvelrajan Kaniyappan; Tomotake Kanki; Thirumala-Devi Kanneganti; Anumantha G Kanthasamy; Arthi Kanthasamy; Marc Kantorow; Orsolya Kapuy; Michalis V Karamouzis; Md Razaul Karim; Parimal Karmakar; Rajesh G Katare; Masaru Kato; Stefan H E Kaufmann; Anu Kauppinen; Gur P Kaushal; Susmita Kaushik; Kiyoshi Kawasaki; Kemal Kazan; Po-Yuan Ke; Damien J Keating; Ursula Keber; John H Kehrl; Kate E Keller; Christian W Keller; Jongsook Kim Kemper; Candia M Kenific; Oliver Kepp; Stephanie Kermorgant; Andreas Kern; Robin Ketteler; Tom G Keulers; Boris Khalfin; Hany Khalil; Bilon Khambu; Shahid Y Khan; Vinoth Kumar Megraj Khandelwal; Rekha Khandia; Widuri Kho; Noopur V Khobrekar; Sataree Khuansuwan; Mukhran Khundadze; Samuel A Killackey; Dasol Kim; Deok Ryong Kim; Do-Hyung Kim; Dong-Eun Kim; Eun Young Kim; Eun-Kyoung Kim; Hak-Rim Kim; Hee-Sik Kim; Jeong Hun Kim; Jin Kyung Kim; Jin-Hoi Kim; Joungmok Kim; Ju Hwan Kim; Keun Il Kim; Peter K Kim; Seong-Jun Kim; Scot R Kimball; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Matthew A King; Kerri J Kinghorn; Conan G Kinsey; Vladimir Kirkin; Lorrie A Kirshenbaum; Sergey L Kiselev; Shuji Kishi; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Richard N Kitsis; Josef T Kittler; Ole Kjaerulff; Peter S Klein; Thomas Klopstock; Jochen Klucken; Helene Knævelsrud; Roland L Knorr; Ben C B Ko; Fred Ko; Jiunn-Liang Ko; Hotaka Kobayashi; Satoru Kobayashi; Ina Koch; Jan C Koch; Ulrich Koenig; Donat Kögel; Young Ho Koh; Masato Koike; Sepp D Kohlwein; Nur M Kocaturk; Masaaki Komatsu; Jeannette König; Toru Kono; Benjamin T Kopp; Tamas Korcsmaros; Gözde Korkmaz; Viktor I Korolchuk; Mónica Suárez Korsnes; Ali Koskela; Janaiah Kota; Yaichiro Kotake; Monica L Kotler; Yanjun Kou; Michael I Koukourakis; Evangelos Koustas; Attila L Kovacs; Tibor Kovács; Daisuke Koya; Tomohiro Kozako; Claudine Kraft; Dimitri Krainc; Helmut Krämer; Anna D Krasnodembskaya; Carole Kretz-Remy; Guido Kroemer; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Sabine Kuenen; Lars Kuerschner; Thomas Kukar; Ajay Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Sharad Kumar; Shinji Kume; Caroline Kumsta; Chanakya N Kundu; Mondira Kundu; Ajaikumar B Kunnumakkara; Lukasz Kurgan; Tatiana G Kutateladze; Ozlem Kutlu; SeongAe Kwak; Ho Jeong Kwon; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert La Spada; Patrick Labonté; Sylvain Ladoire; Ilaria Laface; Frank Lafont; Diane C Lagace; Vikramjit Lahiri; Zhibing Lai; Angela S Laird; Aparna Lakkaraju; Trond Lamark; Sheng-Hui Lan; Ane Landajuela; Darius J R Lane; Jon D Lane; Charles H Lang; Carsten Lange; Ülo Langel; Rupert Langer; Pierre Lapaquette; Jocelyn Laporte; Nicholas F LaRusso; Isabel Lastres-Becker; Wilson Chun Yu Lau; Gordon W Laurie; Sergio Lavandero; Betty Yuen Kwan Law; Helen Ka-Wai Law; Rob Layfield; Weidong Le; Herve Le Stunff; Alexandre Y Leary; Jean-Jacques Lebrun; Lionel Y W Leck; Jean-Philippe Leduc-Gaudet; Changwook Lee; Chung-Pei Lee; Da-Hye Lee; Edward B Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Heung Kyu Lee; Jae Man Lee; Jason S Lee; Jin-A Lee; Joo-Yong Lee; Jun Hee Lee; Michael Lee; Min Goo Lee; Min Jae Lee; Myung-Shik Lee; Sang Yoon Lee; Seung-Jae Lee; Stella Y Lee; Sung Bae Lee; Won Hee Lee; Ying-Ray Lee; Yong-Ho Lee; Youngil Lee; Christophe Lefebvre; Renaud Legouis; Yu L Lei; Yuchen Lei; Sergey Leikin; Gerd Leitinger; Leticia Lemus; Shuilong Leng; Olivia Lenoir; Guido Lenz; Heinz Josef Lenz; Paola Lenzi; Yolanda León; Andréia M Leopoldino; Christoph Leschczyk; Stina Leskelä; Elisabeth Letellier; Chi-Ting Leung; Po Sing Leung; Jeremy S Leventhal; Beth Levine; Patrick A Lewis; Klaus Ley; Bin Li; Da-Qiang Li; Jianming Li; Jing Li; Jiong Li; Ke Li; Liwu Li; Mei Li; Min Li; Min Li; Ming Li; Mingchuan Li; Pin-Lan Li; Ming-Qing Li; Qing Li; Sheng Li; Tiangang Li; Wei Li; Wenming Li; Xue Li; Yi-Ping Li; Yuan Li; Zhiqiang Li; Zhiyong Li; Zhiyuan Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Weicheng Liang; Yongheng Liang; YongTian Liang; Guanghong Liao; Lujian Liao; Mingzhi Liao; Yung-Feng Liao; Mariangela Librizzi; Pearl P Y Lie; Mary A Lilly; Hyunjung J Lim; Thania R R Lima; Federica Limana; Chao Lin; Chih-Wen Lin; Dar-Shong Lin; Fu-Cheng Lin; Jiandie D Lin; Kurt M Lin; Kwang-Huei Lin; Liang-Tzung Lin; Pei-Hui Lin; Qiong Lin; Shaofeng Lin; Su-Ju Lin; Wenyu Lin; Xueying Lin; Yao-Xin Lin; Yee-Shin Lin; Rafael Linden; Paula Lindner; Shuo-Chien Ling; Paul Lingor; Amelia K Linnemann; Yih-Cherng Liou; Marta M Lipinski; Saška Lipovšek; Vitor A Lira; Natalia Lisiak; Paloma B Liton; Chao Liu; Ching-Hsuan Liu; Chun-Feng Liu; Cui Hua Liu; Fang Liu; Hao Liu; Hsiao-Sheng Liu; Hua-Feng Liu; Huifang Liu; Jia Liu; Jing Liu; Julia Liu; Leyuan Liu; Longhua Liu; Meilian Liu; Qin Liu; Wei Liu; Wende Liu; Xiao-Hong Liu; Xiaodong Liu; Xingguo Liu; Xu Liu; Xuedong Liu; Yanfen Liu; Yang Liu; Yang Liu; Yueyang Liu; Yule Liu; J Andrew Livingston; Gerard Lizard; Jose M Lizcano; Senka Ljubojevic-Holzer; Matilde E LLeonart; David Llobet-Navàs; Alicia Llorente; Chih Hung Lo; Damián Lobato-Márquez; Qi Long; Yun Chau Long; Ben Loos; Julia A Loos; Manuela G López; Guillermo López-Doménech; José Antonio López-Guerrero; Ana T López-Jiménez; Óscar López-Pérez; Israel López-Valero; Magdalena J Lorenowicz; Mar Lorente; Peter Lorincz; Laura Lossi; Sophie Lotersztajn; Penny E Lovat; Jonathan F Lovell; Alenka Lovy; Péter Lőw; Guang Lu; Haocheng Lu; Jia-Hong Lu; Jin-Jian Lu; Mengji Lu; Shuyan Lu; Alessandro Luciani; John M Lucocq; Paula Ludovico; Micah A Luftig; Morten Luhr; Diego Luis-Ravelo; Julian J Lum; Liany Luna-Dulcey; Anders H Lund; Viktor K Lund; Jan D Lünemann; Patrick Lüningschrör; Honglin Luo; Rongcan Luo; Shouqing Luo; Zhi Luo; Claudio Luparello; Bernhard Lüscher; Luan Luu; Alex Lyakhovich; Konstantin G Lyamzaev; Alf Håkon Lystad; Lyubomyr Lytvynchuk; Alvin C Ma; Changle Ma; Mengxiao Ma; Ning-Fang Ma; Quan-Hong Ma; Xinliang Ma; Yueyun Ma; Zhenyi Ma; Ormond A MacDougald; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; Sandra Maday; Frank Madeo; Muniswamy Madesh; Tobias Madl; Julio Madrigal-Matute; Akiko Maeda; Yasuhiro Maejima; Marta Magarinos; Poornima Mahavadi; Emiliano Maiani; Kenneth Maiese; Panchanan Maiti; Maria Chiara Maiuri; Barbara Majello; Michael B Major; Elena Makareeva; Fayaz Malik; Karthik Mallilankaraman; Walter Malorni; Alina Maloyan; Najiba Mammadova; Gene Chi Wai Man; Federico Manai; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Masoud H Manjili; Ravi Manjithaya; Patricio Manque; Bella B Manshian; Raquel Manzano; Claudia Manzoni; Kai Mao; Cinzia Marchese; Sandrine Marchetti; Anna Maria Marconi; Fabrizio Marcucci; Stefania Mardente; Olga A Mareninova; Marta Margeta; Muriel Mari; Sara Marinelli; Oliviero Marinelli; Guillermo Mariño; Sofia Mariotto; Richard S Marshall; Mark R Marten; Sascha Martens; Alexandre P J Martin; Katie R Martin; Sara Martin; Shaun Martin; Adrián Martín-Segura; Miguel A Martín-Acebes; Inmaculada Martin-Burriel; Marcos Martin-Rincon; Paloma Martin-Sanz; José A Martina; Wim Martinet; Aitor Martinez; Ana Martinez; Jennifer Martinez; Moises Martinez Velazquez; Nuria Martinez-Lopez; Marta Martinez-Vicente; Daniel O Martins; Joilson O Martins; Waleska K Martins; Tania Martins-Marques; Emanuele Marzetti; Shashank Masaldan; Celine Masclaux-Daubresse; Douglas G Mashek; Valentina Massa; Lourdes Massieu; Glenn R Masson; Laura Masuelli; Anatoliy I Masyuk; Tetyana V Masyuk; Paola Matarrese; Ander Matheu; Satoaki Matoba; Sachiko Matsuzaki; Pamela Mattar; Alessandro Matte; Domenico Mattoscio; José L Mauriz; Mario Mauthe; Caroline Mauvezin; Emanual Maverakis; Paola Maycotte; Johanna Mayer; Gianluigi Mazzoccoli; Cristina Mazzoni; Joseph R Mazzulli; Nami McCarty; Christine McDonald; Mitchell R McGill; Sharon L McKenna; BethAnn McLaughlin; Fionn McLoughlin; Mark A McNiven; Thomas G McWilliams; Fatima Mechta-Grigoriou; Tania Catarina Medeiros; Diego L Medina; Lynn A Megeney; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Alfred J Meijer; Annemarie H Meijer; Jakob Mejlvang; Alicia Meléndez; Annette Melk; Gonen Memisoglu; Alexandrina F Mendes; Delong Meng; Fei Meng; Tian Meng; Rubem Menna-Barreto; Manoj B Menon; Carol Mercer; Anne E Mercier; Jean-Louis Mergny; Adalberto Merighi; Seth D Merkley; Giuseppe Merla; Volker Meske; Ana Cecilia Mestre; Shree Padma Metur; Christian Meyer; Hemmo Meyer; Wenyi Mi; Jeanne Mialet-Perez; Junying Miao; Lucia Micale; Yasuo Miki; Enrico Milan; Małgorzata Milczarek; Dana L Miller; Samuel I Miller; Silke Miller; Steven W Millward; Ira Milosevic; Elena A Minina; Hamed Mirzaei; Hamid Reza Mirzaei; Mehdi Mirzaei; Amit Mishra; Nandita Mishra; Paras Kumar Mishra; Maja Misirkic Marjanovic; Roberta Misasi; Amit Misra; Gabriella Misso; Claire Mitchell; Geraldine Mitou; Tetsuji Miura; Shigeki Miyamoto; Makoto Miyazaki; Mitsunori Miyazaki; Taiga Miyazaki; Keisuke Miyazawa; Noboru Mizushima; Trine H Mogensen; Baharia Mograbi; Reza Mohammadinejad; Yasir Mohamud; Abhishek Mohanty; Sipra Mohapatra; Torsten Möhlmann; Asif Mohmmed; Anna Moles; Kelle H Moley; Maurizio Molinari; Vincenzo Mollace; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Costanza Montagna; Mervyn J Monteiro; Andrea Montella; L Ruth Montes; Barbara Montico; Vinod K Mony; Giacomo Monzio Compagnoni; Michael N Moore; Mohammad A Moosavi; Ana L Mora; Marina Mora; David Morales-Alamo; Rosario Moratalla; Paula I Moreira; Elena Morelli; Sandra Moreno; Daniel Moreno-Blas; Viviana Moresi; Benjamin Morga; Alwena H Morgan; Fabrice Morin; Hideaki Morishita; Orson L Moritz; Mariko Moriyama; Yuji Moriyasu; Manuela Morleo; Eugenia Morselli; Jose F Moruno-Manchon; Jorge Moscat; Serge Mostowy; Elisa Motori; Andrea Felinto Moura; Naima Moustaid-Moussa; Maria Mrakovcic; Gabriel Muciño-Hernández; Anupam Mukherjee; Subhadip Mukhopadhyay; Jean M Mulcahy Levy; Victoriano Mulero; 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Per Nilsson; Shunbin Ning; Rituraj Niranjan; Hiroshi Nishimune; Mireia Niso-Santano; Ralph A Nixon; Annalisa Nobili; Clevio Nobrega; Takeshi Noda; Uxía Nogueira-Recalde; Trevor M Nolan; Ivan Nombela; Ivana Novak; Beatriz Novoa; Takashi Nozawa; Nobuyuki Nukina; Carmen Nussbaum-Krammer; Jesper Nylandsted; Tracey R O'Donovan; Seónadh M O'Leary; Eyleen J O'Rourke; Mary P O'Sullivan; Timothy E O'Sullivan; Salvatore Oddo; Ina Oehme; Michinaga Ogawa; Eric Ogier-Denis; Margret H Ogmundsdottir; Besim Ogretmen; Goo Taeg Oh; Seon-Hee Oh; Young J Oh; Takashi Ohama; Yohei Ohashi; Masaki Ohmuraya; Vasileios Oikonomou; Rani Ojha; Koji Okamoto; Hitoshi Okazawa; Masahide Oku; Sara Oliván; Jorge M A Oliveira; Michael Ollmann; James A Olzmann; Shakib Omari; M Bishr Omary; Gizem Önal; Martin Ondrej; Sang-Bing Ong; Sang-Ging Ong; Anna Onnis; Juan A Orellana; Sara Orellana-Muñoz; Maria Del Mar Ortega-Villaizan; Xilma R Ortiz-Gonzalez; Elena Ortona; Heinz D Osiewacz; Abdel-Hamid K Osman; Rosario Osta; Marisa S Otegui; 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Francesca Pentimalli; Cláudia Mf Pereira; Gustavo J S Pereira; Lilian C Pereira; Luis Pereira de Almeida; Nirma D Perera; Ángel Pérez-Lara; Ana B Perez-Oliva; María Esther Pérez-Pérez; Palsamy Periyasamy; Andras Perl; Cristiana Perrotta; Ida Perrotta; Richard G Pestell; Morten Petersen; Irina Petrache; Goran Petrovski; Thorsten Pfirrmann; Astrid S Pfister; Jennifer A Philips; Huifeng Pi; Anna Picca; Alicia M Pickrell; Sandy Picot; Giovanna M Pierantoni; Marina Pierdominici; Philippe Pierre; Valérie Pierrefite-Carle; Karolina Pierzynowska; Federico Pietrocola; Miroslawa Pietruczuk; Claudio Pignata; Felipe X Pimentel-Muiños; Mario Pinar; Roberta O Pinheiro; Ronit Pinkas-Kramarski; Paolo Pinton; Karolina Pircs; Sujan Piya; Paola Pizzo; Theo S Plantinga; Harald W Platta; Ainhoa Plaza-Zabala; Markus Plomann; Egor Y Plotnikov; Helene Plun-Favreau; Ryszard Pluta; Roger Pocock; Stefanie Pöggeler; Christian Pohl; Marc Poirot; Angelo Poletti; Marisa Ponpuak; Hana Popelka; Blagovesta Popova; Helena Porta; Soledad Porte Alcon; Eliana Portilla-Fernandez; Martin Post; Malia B Potts; Joanna Poulton; Ted Powers; Veena Prahlad; Tomasz K Prajsnar; Domenico Praticò; Rosaria Prencipe; Muriel Priault; Tassula Proikas-Cezanne; Vasilis J Promponas; Christopher G Proud; Rosa Puertollano; Luigi Puglielli; Thomas Pulinilkunnil; Deepika Puri; Rajat Puri; Julien Puyal; Xiaopeng Qi; Yongmei Qi; Wenbin Qian; Lei Qiang; Yu Qiu; Joe Quadrilatero; Jorge Quarleri; Nina Raben; Hannah Rabinowich; Debora Ragona; Michael J Ragusa; Nader Rahimi; Marveh Rahmati; Valeria Raia; Nuno Raimundo; Namakkal-Soorappan Rajasekaran; Sriganesh Ramachandra Rao; Abdelhaq Rami; Ignacio Ramírez-Pardo; David B Ramsden; Felix Randow; Pundi N Rangarajan; Danilo Ranieri; Hai Rao; Lang Rao; Rekha Rao; Sumit Rathore; J Arjuna Ratnayaka; Edward A Ratovitski; Palaniyandi Ravanan; Gloria Ravegnini; Swapan K Ray; Babak Razani; Vito Rebecca; Fulvio Reggiori; Anne Régnier-Vigouroux; Andreas S Reichert; David Reigada; Jan H Reiling; Theo Rein; Siegfried Reipert; Rokeya Sultana Rekha; Hongmei Ren; Jun Ren; Weichao Ren; Tristan Renault; Giorgia Renga; Karen Reue; Kim Rewitz; Bruna Ribeiro de Andrade Ramos; S Amer Riazuddin; Teresa M Ribeiro-Rodrigues; Jean-Ehrland Ricci; Romeo Ricci; Victoria Riccio; Des R Richardson; Yasuko Rikihisa; Makarand V Risbud; Ruth M Risueño; Konstantinos Ritis; Salvatore Rizza; Rosario Rizzuto; Helen C Roberts; Luke D Roberts; Katherine J Robinson; Maria Carmela Roccheri; Stephane Rocchi; George G Rodney; Tiago Rodrigues; Vagner Ramon Rodrigues Silva; Amaia Rodriguez; Ruth Rodriguez-Barrueco; Nieves Rodriguez-Henche; Humberto Rodriguez-Rocha; Jeroen Roelofs; Robert S Rogers; Vladimir V Rogov; Ana I Rojo; Krzysztof Rolka; Vanina Romanello; Luigina Romani; Alessandra Romano; Patricia S Romano; David Romeo-Guitart; Luis C Romero; Montserrat Romero; Joseph C Roney; Christopher Rongo; Sante Roperto; Mathias T Rosenfeldt; Philip Rosenstiel; Anne G Rosenwald; Kevin A Roth; Lynn Roth; Steven Roth; Kasper M A Rouschop; 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Alberto Sanz; Pascual Sanz; Shweta Saran; Marco Sardiello; Timothy J Sargeant; Apurva Sarin; Chinmoy Sarkar; Sovan Sarkar; Maria-Rosa Sarrias; Surajit Sarkar; Dipanka Tanu Sarmah; Jaakko Sarparanta; Aishwarya Sathyanarayan; Ranganayaki Sathyanarayanan; K Matthew Scaglione; Francesca Scatozza; Liliana Schaefer; Zachary T Schafer; Ulrich E Schaible; Anthony H V Schapira; Michael Scharl; Hermann M Schatzl; Catherine H Schein; Wiep Scheper; David Scheuring; Maria Vittoria Schiaffino; Monica Schiappacassi; Rainer Schindl; Uwe Schlattner; Oliver Schmidt; Roland Schmitt; Stephen D Schmidt; Ingo Schmitz; Eran Schmukler; Anja Schneider; Bianca E Schneider; Romana Schober; Alejandra C Schoijet; Micah B Schott; Michael Schramm; Bernd Schröder; Kai Schuh; Christoph Schüller; Ryan J Schulze; Lea Schürmanns; Jens C Schwamborn; Melanie Schwarten; Filippo Scialo; Sebastiano Sciarretta; Melanie J Scott; Kathleen W Scotto; A Ivana Scovassi; Andrea Scrima; Aurora Scrivo; David Sebastian; Salwa Sebti; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Iban Seiliez; Ekihiro Seki; Scott B Selleck; Frank W Sellke; Joshua T Selsby; Michael Sendtner; Serif Senturk; Elena Seranova; Consolato Sergi; Ruth Serra-Moreno; Hiromi Sesaki; Carmine Settembre; Subba Rao Gangi Setty; Gianluca Sgarbi; Ou Sha; John J Shacka; Javeed A Shah; Dantong Shang; Changshun Shao; Feng Shao; Soroush Sharbati; Lisa M Sharkey; Dipali Sharma; Gaurav Sharma; Kulbhushan Sharma; Pawan Sharma; Surendra Sharma; Han-Ming Shen; Hongtao Shen; Jiangang Shen; Ming Shen; Weili Shen; Zheni Shen; Rui Sheng; Zhi Sheng; Zu-Hang Sheng; Jianjian Shi; Xiaobing Shi; Ying-Hong Shi; Kahori Shiba-Fukushima; Jeng-Jer Shieh; Yohta Shimada; Shigeomi Shimizu; Makoto Shimozawa; Takahiro Shintani; Christopher J Shoemaker; Shahla Shojaei; Ikuo Shoji; Bhupendra V Shravage; Viji Shridhar; Chih-Wen Shu; Hong-Bing Shu; Ke Shui; Arvind K Shukla; Timothy E Shutt; Valentina Sica; Aleem Siddiqui; Amanda Sierra; Virginia Sierra-Torre; Santiago Signorelli; Payel Sil; Bruno J de Andrade Silva; Johnatas D Silva; Eduardo Silva-Pavez; Sandrine Silvente-Poirot; Rachel E Simmonds; Anna Katharina Simon; Hans-Uwe Simon; Matias Simons; Anurag Singh; Lalit P Singh; Rajat Singh; Shivendra V Singh; Shrawan K Singh; Sudha B Singh; Sunaina Singh; Surinder Pal Singh; Debasish Sinha; Rohit Anthony Sinha; Sangita Sinha; Agnieszka Sirko; Kapil Sirohi; Efthimios L Sivridis; Panagiotis Skendros; Aleksandra Skirycz; Iva Slaninová; Soraya S Smaili; Andrei Smertenko; Matthew D Smith; Stefaan J Soenen; Eun Jung Sohn; Sophia P M Sok; Giancarlo Solaini; Thierry Soldati; Scott A Soleimanpour; Rosa M Soler; Alexei Solovchenko; Jason A Somarelli; Avinash Sonawane; Fuyong Song; Hyun Kyu Song; Ju-Xian Song; Kunhua Song; Zhiyin Song; Leandro R Soria; Maurizio Sorice; Alexander A Soukas; Sandra-Fausia Soukup; Diana Sousa; Nadia Sousa; Paul A Spagnuolo; Stephen A Spector; M M Srinivas Bharath; Daret St Clair; Venturina Stagni; Leopoldo Staiano; Clint A Stalnecker; Metodi V Stankov; Peter B Stathopulos; Katja Stefan; Sven Marcel Stefan; Leonidas Stefanis; Joan S Steffan; Alexander Steinkasserer; Harald Stenmark; Jared Sterneckert; Craig Stevens; Veronika Stoka; Stephan Storch; Björn Stork; Flavie Strappazzon; Anne Marie Strohecker; Dwayne G Stupack; Huanxing Su; Ling-Yan Su; Longxiang Su; Ana M Suarez-Fontes; Carlos S Subauste; Selvakumar Subbian; Paula V Subirada; Ganapasam Sudhandiran; Carolyn M Sue; Xinbing Sui; Corey Summers; Guangchao Sun; Jun Sun; Kang Sun; Meng-Xiang Sun; Qiming Sun; Yi Sun; Zhongjie Sun; Karen K S Sunahara; Eva Sundberg; Katalin Susztak; Peter Sutovsky; Hidekazu Suzuki; Gary Sweeney; J David Symons; Stephen Cho Wing Sze; Nathaniel J Szewczyk; Anna Tabęcka-Łonczynska; Claudio Tabolacci; Frank Tacke; Heinrich Taegtmeyer; Marco Tafani; Mitsuo Tagaya; Haoran Tai; Stephen W G Tait; Yoshinori Takahashi; Szabolcs Takats; Priti Talwar; Chit Tam; Shing Yau Tam; Davide Tampellini; Atsushi Tamura; Chong Teik Tan; Eng-King Tan; Ya-Qin Tan; Masaki Tanaka; Motomasa Tanaka; Daolin Tang; Jingfeng Tang; Tie-Shan Tang; Isei Tanida; Zhipeng Tao; Mohammed Taouis; Lars Tatenhorst; Nektarios Tavernarakis; Allen Taylor; Gregory A Taylor; Joan M Taylor; Elena Tchetina; Andrew R Tee; Irmgard Tegeder; David Teis; Natercia Teixeira; Fatima Teixeira-Clerc; Kumsal A Tekirdag; Tewin Tencomnao; Sandra Tenreiro; Alexei V Tepikin; Pilar S Testillano; Gianluca Tettamanti; Pierre-Louis Tharaux; Kathrin Thedieck; Arvind A Thekkinghat; Stefano Thellung; Josephine W Thinwa; V P Thirumalaikumar; Sufi Mary Thomas; Paul G Thomes; Andrew Thorburn; Lipi Thukral; Thomas Thum; Michael Thumm; Ling Tian; Ales Tichy; Andreas Till; Vincent Timmerman; Vladimir I Titorenko; Sokol V Todi; Krassimira Todorova; Janne M Toivonen; Luana Tomaipitinca; Dhanendra Tomar; Cristina Tomas-Zapico; Sergej Tomić; Benjamin Chun-Kit Tong; Chao Tong; Xin Tong; Sharon A Tooze; Maria L Torgersen; Satoru Torii; Liliana Torres-López; Alicia Torriglia; Christina G Towers; Roberto Towns; Shinya Toyokuni; Vladimir Trajkovic; Donatella Tramontano; Quynh-Giao Tran; Leonardo H Travassos; Charles B Trelford; Shirley Tremel; Ioannis P Trougakos; Betty P Tsao; Mario P Tschan; Hung-Fat Tse; Tak Fu Tse; Hitoshi Tsugawa; Andrey S Tsvetkov; David A Tumbarello; Yasin Tumtas; María J Tuñón; Sandra Turcotte; Boris Turk; Vito Turk; Bradley J Turner; Richard I Tuxworth; Jessica K Tyler; Elena V Tyutereva; Yasuo Uchiyama; Aslihan Ugun-Klusek; Holm H Uhlig; Marzena Ułamek-Kozioł; Ilya V Ulasov; Midori Umekawa; Christian Ungermann; Rei Unno; Sylvie Urbe; Elisabet Uribe-Carretero; Suayib Üstün; Vladimir N Uversky; Thomas Vaccari; Maria I Vaccaro; Björn F Vahsen; Helin Vakifahmetoglu-Norberg; Rut Valdor; Maria J Valente; Ayelén Valko; Richard B Vallee; Angela M Valverde; Greet Van den Berghe; Stijn van der Veen; Luc Van Kaer; Jorg van Loosdregt; Sjoerd J L van Wijk; Wim Vandenberghe; Ilse Vanhorebeek; Marcos A Vannier-Santos; Nicola Vannini; M Cristina Vanrell; Chiara Vantaggiato; Gabriele Varano; Isabel Varela-Nieto; Máté Varga; M Helena Vasconcelos; Somya Vats; Demetrios G Vavvas; Ignacio Vega-Naredo; Silvia Vega-Rubin-de-Celis; Guillermo Velasco; Ariadna P Velázquez; Tibor Vellai; Edo Vellenga; Francesca Velotti; Mireille Verdier; Panayotis Verginis; Isabelle Vergne; Paul Verkade; Manish Verma; Patrik Verstreken; Tim Vervliet; Jörg Vervoorts; Alexandre T Vessoni; Victor M Victor; Michel Vidal; Chiara Vidoni; Otilia V Vieira; Richard D Vierstra; Sonia Viganó; Helena Vihinen; Vinoy Vijayan; Miquel Vila; Marçal Vilar; José M Villalba; Antonio Villalobo; Beatriz Villarejo-Zori; Francesc Villarroya; Joan Villarroya; Olivier Vincent; Cecile Vindis; Christophe Viret; Maria Teresa Viscomi; Dora Visnjic; Ilio Vitale; David J Vocadlo; Olga V Voitsekhovskaja; Cinzia Volonté; Mattia Volta; Marta Vomero; Clarissa Von Haefen; Marc A Vooijs; Wolfgang Voos; Ljubica Vucicevic; Richard Wade-Martins; Satoshi Waguri; Kenrick A Waite; Shuji Wakatsuki; David W Walker; Mark J Walker; Simon A Walker; Jochen Walter; Francisco G Wandosell; Bo Wang; Chao-Yung Wang; Chen Wang; Chenran Wang; Chenwei Wang; Cun-Yu Wang; Dong Wang; Fangyang Wang; Feng Wang; Fengming Wang; Guansong Wang; Han Wang; Hao Wang; Hexiang Wang; Hong-Gang Wang; Jianrong Wang; Jigang Wang; Jiou Wang; Jundong Wang; Kui Wang; Lianrong Wang; Liming Wang; Maggie Haitian Wang; Meiqing Wang; Nanbu Wang; Pengwei Wang; Peipei Wang; Ping Wang; Ping Wang; Qing Jun Wang; Qing Wang; Qing Kenneth Wang; Qiong A Wang; Wen-Tao Wang; Wuyang Wang; Xinnan Wang; Xuejun Wang; Yan Wang; Yanchang Wang; Yanzhuang Wang; Yen-Yun Wang; Yihua Wang; Yipeng Wang; Yu Wang; Yuqi Wang; Zhe Wang; Zhenyu Wang; Zhouguang Wang; Gary Warnes; Verena Warnsmann; Hirotaka Watada; Eizo Watanabe; Maxinne Watchon; Anna Wawrzyńska; Timothy E Weaver; Grzegorz Wegrzyn; Ann M Wehman; Huafeng Wei; Lei Wei; Taotao Wei; Yongjie Wei; Oliver H Weiergräber; Conrad C Weihl; Günther Weindl; Ralf Weiskirchen; Alan Wells; Runxia H Wen; Xin Wen; Antonia Werner; Beatrice Weykopf; Sally P Wheatley; J Lindsay Whitton; Alexander J Whitworth; Katarzyna Wiktorska; Manon E Wildenberg; Tom Wileman; Simon Wilkinson; Dieter Willbold; Brett Williams; Robin S B Williams; Roger L Williams; Peter R Williamson; Richard A Wilson; Beate Winner; Nathaniel J Winsor; Steven S Witkin; Harald Wodrich; Ute Woehlbier; Thomas Wollert; Esther Wong; Jack Ho Wong; Richard W Wong; Vincent Kam Wai Wong; W Wei-Lynn Wong; An-Guo Wu; Chengbiao Wu; Jian Wu; Junfang Wu; Kenneth K Wu; Min Wu; Shan-Ying Wu; Shengzhou Wu; Shu-Yan Wu; Shufang Wu; William K K Wu; Xiaohong Wu; Xiaoqing Wu; Yao-Wen Wu; Yihua Wu; Ramnik J Xavier; Hongguang Xia; Lixin Xia; Zhengyuan Xia; Ge Xiang; Jin Xiang; Mingliang Xiang; Wei Xiang; Bin Xiao; Guozhi Xiao; Hengyi Xiao; Hong-Tao Xiao; Jian Xiao; Lan Xiao; Shi Xiao; Yin Xiao; Baoming Xie; Chuan-Ming Xie; Min Xie; Yuxiang Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Congfeng Xu; En Xu; Haoxing Xu; Jing Xu; JinRong Xu; Liang Xu; Wen Wen Xu; Xiulong Xu; Yu Xue; Sokhna M S Yakhine-Diop; Masamitsu Yamaguchi; Osamu Yamaguchi; Ai Yamamoto; Shunhei Yamashina; Shengmin Yan; Shian-Jang Yan; Zhen Yan; Yasuo Yanagi; Chuanbin Yang; Dun-Sheng Yang; Huan Yang; Huang-Tian Yang; Hui Yang; Jin-Ming Yang; Jing Yang; Jingyu Yang; Ling Yang; Liu Yang; Ming Yang; Pei-Ming Yang; Qian Yang; Seungwon Yang; Shu Yang; Shun-Fa Yang; Wannian Yang; Wei Yuan Yang; Xiaoyong Yang; Xuesong Yang; Yi Yang; Ying Yang; Honghong Yao; Shenggen Yao; Xiaoqiang Yao; Yong-Gang Yao; Yong-Ming Yao; Takahiro Yasui; Meysam Yazdankhah; Paul M Yen; Cong Yi; Xiao-Ming Yin; Yanhai Yin; Zhangyuan Yin; Ziyi Yin; Meidan Ying; Zheng Ying; Calvin K Yip; Stephanie Pei Tung Yiu; Young H Yoo; Kiyotsugu Yoshida; Saori R Yoshii; Tamotsu Yoshimori; Bahman Yousefi; Boxuan Yu; Haiyang Yu; Jun Yu; Jun Yu; Li Yu; Ming-Lung Yu; Seong-Woon Yu; Victor C Yu; W Haung Yu; Zhengping Yu; Zhou Yu; Junying Yuan; Ling-Qing Yuan; Shilin Yuan; Shyng-Shiou F Yuan; Yanggang Yuan; Zengqiang Yuan; Jianbo Yue; Zhenyu Yue; Jeanho Yun; Raymond L Yung; David N Zacks; Gabriele Zaffagnini; Vanessa O Zambelli; Isabella Zanella; Qun S Zang; Sara Zanivan; Silvia Zappavigna; Pilar Zaragoza; Konstantinos S Zarbalis; Amir Zarebkohan; Amira Zarrouk; Scott O Zeitlin; Jialiu Zeng; Ju-Deng Zeng; Eva Žerovnik; Lixuan Zhan; Bin Zhang; Donna D Zhang; Hanlin Zhang; Hong Zhang; Hong Zhang; Honghe Zhang; Huafeng Zhang; Huaye Zhang; Hui Zhang; Hui-Ling Zhang; Jianbin Zhang; Jianhua Zhang; Jing-Pu Zhang; Kalin Y B Zhang; Leshuai W Zhang; Lin Zhang; Lisheng Zhang; Lu Zhang; Luoying Zhang; Menghuan Zhang; Peng Zhang; Sheng Zhang; Wei Zhang; Xiangnan Zhang; Xiao-Wei Zhang; Xiaolei Zhang; Xiaoyan Zhang; Xin Zhang; Xinxin Zhang; Xu Dong Zhang; Yang Zhang; Yanjin Zhang; Yi Zhang; Ying-Dong Zhang; Yingmei Zhang; Yuan-Yuan Zhang; Yuchen Zhang; Zhe Zhang; Zhengguang Zhang; Zhibing Zhang; Zhihai Zhang; Zhiyong Zhang; Zili Zhang; Haobin Zhao; Lei Zhao; Shuang Zhao; Tongbiao Zhao; Xiao-Fan Zhao; Ying Zhao; Yongchao Zhao; Yongliang Zhao; Yuting Zhao; Guoping Zheng; Kai Zheng; Ling Zheng; Shizhong Zheng; Xi-Long Zheng; Yi Zheng; Zu-Guo Zheng; Boris Zhivotovsky; Qing Zhong; Ao Zhou; Ben Zhou; Cefan Zhou; Gang Zhou; Hao Zhou; Hong Zhou; Hongbo Zhou; Jie Zhou; Jing Zhou; Jing Zhou; Jiyong Zhou; Kailiang Zhou; Rongjia Zhou; Xu-Jie Zhou; Yanshuang Zhou; Yinghong Zhou; Yubin Zhou; Zheng-Yu Zhou; Zhou Zhou; Binglin Zhu; Changlian Zhu; Guo-Qing Zhu; Haining Zhu; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Yanping Zhu; Yushan Zhu; Haixia Zhuang; Xiaohong Zhuang; Katarzyna Zientara-Rytter; Christine M Zimmermann; Elena Ziviani; Teresa Zoladek; Wei-Xing Zong; Dmitry B Zorov; Antonio Zorzano; Weiping Zou; Zhen Zou; Zhengzhi Zou; Steven Zuryn; Werner Zwerschke; Beate Brand-Saberi; X Charlie Dong; Chandra Shekar Kenchappa; Zuguo Li; Yong Lin; Shigeru Oshima; Yueguang Rong; Judith C Sluimer; Christina L Stallings; Chun-Kit Tong
Journal:  Autophagy       Date:  2021-02-08       Impact factor: 13.391

6.  Aggresomal sequestration and STUB1-mediated ubiquitylation during mammalian proteaphagy of inhibited proteasomes.

Authors:  Won Hoon Choi; Yejin Yun; Seoyoung Park; Jun Hyoung Jeon; Jeeyoung Lee; Jung Hoon Lee; Su-A Yang; Nak-Kyoon Kim; Chan Hoon Jung; Yong Tae Kwon; Dohyun Han; Sang Min Lim; Min Jae Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-28       Impact factor: 11.205

7.  Atg39 selectively captures inner nuclear membrane into lumenal vesicles for delivery to the autophagosome.

Authors:  Sunandini Chandra; Philip J Mannino; David J Thaller; Nicholas R Ader; Megan C King; Thomas J Melia; C Patrick Lusk
Journal:  J Cell Biol       Date:  2021-10-29       Impact factor: 8.077

8.  ESCRTing proteasomes to the lysosome.

Authors:  Nava Segev
Journal:  PLoS Genet       Date:  2020-03-19       Impact factor: 5.917

9.  Tagging the proteasome active site β5 causes tag specific phenotypes in yeast.

Authors:  Kenrick A Waite; Alicia Burris; Jeroen Roelofs
Journal:  Sci Rep       Date:  2020-10-22       Impact factor: 4.379

10.  Yeast Nst1 is a novel component of P-bodies and is a specific suppressor of proteasome base assembly defects.

Authors:  Chin Leng Cheng; Michael K Wong; Mark Hochstrasser
Journal:  Mol Biol Cell       Date:  2021-08-04       Impact factor: 4.138

  10 in total

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