Literature DB >> 31354022

Reducing INS-IGF1 signaling protects against non-cell autonomous vesicle rupture caused by SNCA spreading.

Carl Alexander Sandhof1, Simon Oliver Hoppe1, Silke Druffel-Augustin1, Christian Gallrein2, Janine Kirstein2, Cindy Voisine3, Carmen Nussbaum-Krammer1.   

Abstract

Aging is associated with a gradual decline of cellular proteostasis, giving rise to devastating protein misfolding diseases, such as Alzheimer disease (AD) or Parkinson disease (PD). These diseases often exhibit a complex pathology involving non-cell autonomous proteotoxic effects, which are still poorly understood. Using Caenorhabditis elegans we investigated how local protein misfolding is affecting neighboring cells and tissues showing that misfolded PD-associated SNCA/α-synuclein is accumulating in highly dynamic endo-lysosomal vesicles. Irrespective of whether being expressed in muscle cells or dopaminergic neurons, accumulated proteins were transmitted into the hypodermis with increasing age, indicating that epithelial cells might play a role in remote degradation when the local endo-lysosomal degradation capacity is overloaded. Cell biological and genetic approaches revealed that inter-tissue dissemination of SNCA was regulated by endo- and exocytosis (neuron/muscle to hypodermis) and basement membrane remodeling (muscle to hypodermis). Transferred SNCA conformers were, however, inefficiently cleared and induced endo-lysosomal membrane permeabilization. Remarkably, reducing INS (insulin)-IGF1 (insulin-like growth factor 1) signaling provided protection by maintaining endo-lysosomal integrity. This study suggests that the degradation of lysosomal substrates is coordinated across different tissues in metazoan organisms. Because the chronic dissemination of poorly degradable disease proteins into neighboring tissues exerts a non-cell autonomous toxicity, this implies that restoring endo-lysosomal function not only in cells with pathological inclusions, but also in apparently unaffected cell types might help to halt disease progression.Abbreviations: AD: Alzheimer disease; BM: basement membrane; BWM: body wall muscle; CEP: cephalic sensilla; CLEM: correlative light and electron microscopy; CTNS-1: cystinosin (lysosomal protein) homolog; DA: dopaminergic; DAF-2: abnormal dauer formation; ECM: extracellular matrix; FLIM: fluorescence lifetime imaging microscopy; fps: frames per second; GFP: green fluorescent protein; HPF: high pressure freezing; IGF1: insulin-like growth factor 1; INS: insulin; KD: knockdown; LMP: lysosomal membrane permeabilization; MVB: multivesicular body; NOC: nocodazole; PD: Parkinson disease; RFP: red fluorescent protein; RNAi: RNA interference; sfGFP: superfolder GFP; SNCA: synuclein alpha; TEM: transmission electron microscopy; TNTs: tunneling nanotubes; TCSPC: time correlated single photon counting; YFP: yellow fluorescent protein.

Entities:  

Keywords:  Alpha-synuclein; aging; intercellular spreading; lysosomal homeostasis; lysosomal membrane permeabilization; neurodegenerative diseases; non-cell autonomous toxicity; proteostasis

Year:  2019        PMID: 31354022      PMCID: PMC7144869          DOI: 10.1080/15548627.2019.1643657

Source DB:  PubMed          Journal:  Autophagy        ISSN: 1554-8627            Impact factor:   16.016


Introduction

Loss of protein homeostasis (proteostasis) and subsequent accumulation of protein aggregates is a hallmark of aging and linked to prevalent age-related diseases, such as Alzheimer disease (AD) or Parkinson disease (PD) [1-3]. Although most neurodegenerative diseases are characterized by a selective loss of specific highly vulnerable neurons, converging damage within neighboring cells strongly contributes to pathogenesis [4-7]. Studies in numerous disease models have revealed that a tissue-specific expression of aggregation-prone proteins is sufficient to cause a non-cell autonomous toxicity in surrounding cells [4,5,7,8]. Besides indirectly impacting nearby tissue by affecting the function of expressing cells, mounting reports demonstrate that misfolded proteins themselves are secreted and spread to neighboring cells [9,10]. To counteract dysfunction and death of individual cells, a sophisticated protein quality control system that is well adapted to the cell type-specific proteome, maintains proteostasis [11]. This is particularly essential for post-mitotic cells, such as skeletal muscles or neurons, which have limited regenerative capacity. Since a cell type- or tissue-specific damage can have an impact upon the whole organism, metazoans also need to regulate the proteostasis network beyond the immediately affected cell to ensure survival of the species [11-14]. Recent studies revealed that proteostasis is indeed orchestrated at the organismal level. A sperm to oocyte signaling activates lysosomal function in oocytes to clear protein aggregates and avoid transmitting damage to the progeny [15]. Moreover, multiple stress responses that have been thought to function strictly cell autonomously, such as the heat shock response, are regulated in a non-cell autonomous manner [16-18]. A local activation of protective proteostasis components is sufficient to prevent protein aggregation in distant tissues and to delay organismal aging [19-23]. While there is increasing evidence for a non-cell autonomous regulation of stress response pathways, removal of protein aggregates and damaged organelles in adjacent cells or tissues has only recently been observed [24-26] and little is known about how this is regulated. Such non-cell autonomous processes may be implicated in the progression of neurodegenerative diseases and need further investigation. In this study, we employed C. elegans to investigate the effects of local protein misfolding on neighboring cells and tissues and show that expression of PD-linked SNCA/α-synuclein in muscle cells resulted in an age-dependent accumulation of misfolded protein species in endo-lysosomal vesicles. Accumulating SNCA was eventually transferred into remote hypodermal cells, which was facilitated by genes regulating vesicle trafficking and extracellular matrix composition. Transfer into the hypodermis was also observed upon cell type-specific SNCA expression in dopaminergic (DA) neurons, suggesting that the epithelium functions in transcellular removal of lysosomal substrates of proteolytically compromised surrounding cells. The chronic transfer of SNCA species caused endocytic vesicle rupture, indicating that spreading of pathology in neurodegenerative diseases could be a consequence of the failed systemic attempt to eliminate hardly digestible lysosomal substrates. Lysosomal membrane integrity was preserved in long-lived daf-2 mutant animals defective in INS (insulin)-IGF1 (insulin-like growth factor 1) signaling, suggesting that improving endo-lysosomal function might be a promising therapeutic strategy to treat age-related diseases.

Results

SNCA misfolds and accumulates in tubular structures with aging

To study the systemic effects of local protein misfolding in post-mitotic cells we established transgenic Caenorhabditis elegans lines expressing SNCA/α-synuclein, which has a central role in the pathogenesis of PD and other synucleinopathies. The nematode C. elegans is a widely used simple metazoan animal model to study the toxicity of proteins associated with human neurodegenerative diseases and transgenic C. elegans models expressing SNCA have been used to screen for modifiers of aggregation and toxicity [27-29]. In these lines, SNCA has either been untagged or tagged with yellow or green fluorescent protein (Y/GFP) [27-29]. The fluorescence intensity of these dyes significantly decreases at lower pH [30], which would diminish SNCA detection in acidic organelles such as endosomes or lysosomes. Since mounting evidence suggests that misfolded SNCA is primarily targeted to lysosomes [31-33] and insufficient lysosomal clearance of aggregated SNCA is a key mechanism in the pathogenesis of synucleinopathies [34], we tagged SNCA with monomeric red fluorescent protein (RFP), which is insensitive to the endosomal milieu [30,35,36]. Expression of SNCA was restricted to body wall muscle (BWM) cells using the myo-3 gene promoter for myosin heavy chain. Besides exhibiting a weaker diffuse cytosolic fluorescence in BWM cells, SNCA::RFP formed intense fluorescent puncta, which have also been described in earlier studies (Figure 1A) [27,28]. Remarkably, in addition to previous reporter patterns in transgenic C. elegans lines, SNCA::RFP was also detected in spherical and tubular structures (Figure 1A) that were highly mobile and dynamic undergoing frequent fusion and fission events (Video S1), suggesting that they might represent endosomal vesicles. These SNCA::RFP shapes were not detected in embryos and L1 larvae, and initially observed in L2 larvae (Figure 1B), where spherical patterns were more abundant in early larval development. In later development and during aging of adult animals, SNCA::RFP was found in tubular structures that increased in size and number (Figure 1B,C).
Figure 1.

SNCA misfolds and accumulates in tubular structures with aging. (A,B) Collapsed confocal z-stacks of nematodes expressing SNCA::RFP in BWM cells. (A) SNCA::RFP is accumulating in spherical foci (arrowheads) and tubular structures (arrows) in 5-d-old animals. (I) Z projections along the length of the animal were stitched to create a high-resolution montage of an entire worm; scale bar: 100 µm. (I-a) Zoom of boxed region in (I); scale bar: 10 µm. (B) Images of nematodes expressing SNCA::RFP acquired at indicated developmental stages. The diffuse staining of SNCA in embryos and L1 larvae indicates soluble cytosolic protein. Accumulation of SNCA-positive tubular patterns first occurs between the L1 and L2 larval state and increases during development. Scale bars: 10 µm. Emb: embryo; L1-L4: larval stage 1 to 4; Ad: adult. (C) Left images depict representative TCSPC-images of SNCA::RFP nematodes on day 4, 5 and 10 of life. Intensity-weighted fluorescence lifetime (τ) is indicated in false colors (decreasing from red to blue). Magnification of day 4 images was 630x, magnification of day 5 and 10 images were 2.000x. Scale bars: 20 µm. Right panels represent the corresponding histograms showing the relative abundance of pixels exhibiting a certain fluorescence lifetime (τ), averaged over all acquired images (n = 10–20 for each time point). Dashed, black lines are fluorescence lifetime distributions of age-matched control nematodes expressing fluorophore (RFP) only. (D) Bar plots of mean fluorescence lifetime of SNCA::RFP and RFP at different ages. Data are shown as mean ± SEM. Statistical analysis was done using two-way ANOVA with Bonferroni posttests. * = p < 0.05, ** = p < 0.01, *** = p < 0.001. (E) Sequential extraction of SNCA::RFP with Tris-HCl buffer, and Tris-HCl buffer containing 1% Triton X-100, 1% sarkosyl and 2% SDS from lysates of 5-d-old animals reveals a small fraction of detergent insoluble SNCA::RFP.

SNCA misfolds and accumulates in tubular structures with aging. (A,B) Collapsed confocal z-stacks of nematodes expressing SNCA::RFP in BWM cells. (A) SNCA::RFP is accumulating in spherical foci (arrowheads) and tubular structures (arrows) in 5-d-old animals. (I) Z projections along the length of the animal were stitched to create a high-resolution montage of an entire worm; scale bar: 100 µm. (I-a) Zoom of boxed region in (I); scale bar: 10 µm. (B) Images of nematodes expressing SNCA::RFP acquired at indicated developmental stages. The diffuse staining of SNCA in embryos and L1 larvae indicates soluble cytosolic protein. Accumulation of SNCA-positive tubular patterns first occurs between the L1 and L2 larval state and increases during development. Scale bars: 10 µm. Emb: embryo; L1-L4: larval stage 1 to 4; Ad: adult. (C) Left images depict representative TCSPC-images of SNCA::RFP nematodes on day 4, 5 and 10 of life. Intensity-weighted fluorescence lifetime (τ) is indicated in false colors (decreasing from red to blue). Magnification of day 4 images was 630x, magnification of day 5 and 10 images were 2.000x. Scale bars: 20 µm. Right panels represent the corresponding histograms showing the relative abundance of pixels exhibiting a certain fluorescence lifetime (τ), averaged over all acquired images (n = 10–20 for each time point). Dashed, black lines are fluorescence lifetime distributions of age-matched control nematodes expressing fluorophore (RFP) only. (D) Bar plots of mean fluorescence lifetime of SNCA::RFP and RFP at different ages. Data are shown as mean ± SEM. Statistical analysis was done using two-way ANOVA with Bonferroni posttests. * = p < 0.05, ** = p < 0.01, *** = p < 0.001. (E) Sequential extraction of SNCA::RFP with Tris-HCl buffer, and Tris-HCl buffer containing 1% Triton X-100, 1% sarkosyl and 2% SDS from lysates of 5-d-old animals reveals a small fraction of detergent insoluble SNCA::RFP. To obtain information about the aggregation state of SNCA::RFP in adult animals, we took advantage of fluorescence lifetime imaging microscopy (FLIM) [37]. The specific fluorescence lifetime of fluorophores negatively correlates with the extent of aggregation, which allows tracking of aggregation dynamics of fusion proteins in situ [37,38]. Accordingly, we observed a significant decline of fluorescence lifetime of SNCA::RFP upon aging, indicating increased aggregation of SNCA::RFP (Figure 1C,D). This shift towards lower values, was especially pronounced between 4- and 5-d-old animals and correlated with increased occurrence of tubular structures (Figure 1C,D). Indeed, SNCA::RFP tubules exhibited a reduced fluorescence lifetime compared to the fluorescent cytoplasm in the background (Figure 1C). To further analyze the biochemical properties of SNCA::RFP aggregates in 5-d-old animals, we tested their solubility in different detergents [39]. The protein was extracted successively from whole worm lysates with different buffers containing first Tris-HCl only, then Tris-HCl with 1% Triton X-100, 1% sarkosyl, or 2% SDS, respectively (Figure 1E). The majority of SNCA::RFP was detected in the Tris-HCl and Triton X-100 soluble fractions, containing mostly soluble and membrane-bound proteins, while a smaller fraction was found in the sarkosyl soluble and SDS soluble fractions, indicating oligomeric or aggregated SNCA::RFP. In sum, this biochemical assay confirms the in vivo FLIM data that a significant portion of the protein is aggregating when expressed in C. elegans. Fusing proteins to bulky fluorophores often raises the concern that this might affect the folding and subcellular localization of tagged proteins. To rule out potential artifacts, we assessed the aggregation state and subcellular distribution of RFP itself in more detail. In control animals expressing monomeric RFP fluorophore, the protein was only detected in the HCl soluble fraction after sequential extraction (Figure S1B) and the mean fluorescence lifetime was significantly higher, which was reflected by a diffuse cytosolic staining, indicating mostly soluble protein (Figure 1C,D, S1A and S1C). Albeit to a lesser extent than SNCA::RFP, the mean fluorescence lifetime of RFP decreased during aging, which correlated with a minor fraction of RFP accumulating in small spherical foci that likely consist of aggregated RFP (Figure S1A and S1C). However, the shape and number of RFP foci differed greatly at all ages and did not reveal either the prominent tubular structures or the level of aggregation as observed with SNCA::RFP (Figure 1, S1A and S1C). Moreover, SNCA tagged with Dendra2, another monomeric tag that can be visualized in endo-lysosomal vesicles [40], exhibits a similar morphology as SNCA::RFP (Figure S1D). Hence, the characteristic subcellular pattern observed with SNCA::RFP seems to be an intrinsic property of SNCA rather than a consequence of the RFP tag.

SNCA accumulates in tubular endo-lysosomal vesicles

To characterize the properties of SNCA-positive structures, and to determine whether they correspond to vesicles, we investigated their ultrastructural morphology by correlative light and electron microscopy (CLEM) and in samples prepared for ultrastructural examination in transmission EM (TEM) (Figure 2A). We made use of the CLEM preservation technique developed by Kukulski et al. [41]. This method utilizes cryo preservation techniques of high pressure freezing (HPF) and freeze substitution in a solution consisting of low amount of uranylacetate in acetone, which prevents the loss of fluorochrome fluorescence. Compared to conventional electron microscopy preservation, the samples have lower contrast, but the possibility to retain the fluorescent signal of FPs. To increase the contrast, we did freeze substitute some of the samples in a cocktail containing osmium tetroxide as well as uranyl acetate in order to get samples with higher membrane contrast and staining.
Figure 2.

SNCA accumulates in tubular endo-lysosomal vesicles. (A) Images with light microscopy signal correlated on the electron micrographs (I-III) and osmium stained samples in TEM (IV-VI) from nematodes expressing SNCA::RFP in BWM cells. Scale bars: 1 µm. (A). Zoom in of boxed region in corresponding picture. Scale bars: 200 nm. (I-III) After HPF samples were stained very gently during freeze substitution in order to preserve RFP fluorescence for CLEM. Grids with 90 nm thick sections were first imaged by fluorescent light microscopy. After staining with 3% uranyl acetate and Reynold’s lead citrate, the identical areas were then imaged by TEM. SNCA::RFP colocalizes with spherical and tubular electron dense vesicles. (IV-VI) HPF samples of SNCA::RFP transgenic nematodes were subjected to osmium staining during freeze substitution, revealing that the electron dense spherical and tubular SNCA::RFP-positive structures are enclosed by a single membrane. (b-f) Collapsed confocal z-stacks of nematodes expressing the indicated proteins. 5-d-old animals were analyzed. Scale bars: 10 µm. (B) SNCA::RFP colocalizes to a minor extent with RAB-5-positive early endosomes and (C) with LGG-1 (homolog of LC3)-positive autophagosomes. (D) SNCA::RFP partially localizes to RAB-7-positive late endosomes. (E,F) SNCA::RFP extensively colocalizes with LMP-1, a late endosomal/lysosomal membrane protein, and CTNS-1, a late endosomal/lysosomal amino acid transporter, respectively. (G) Quantification of SNCA::RFP colocalization with indicated vesicle markers using ZEN software. Data are shown as mean ± SEM.

SNCA accumulates in tubular endo-lysosomal vesicles. (A) Images with light microscopy signal correlated on the electron micrographs (I-III) and osmium stained samples in TEM (IV-VI) from nematodes expressing SNCA::RFP in BWM cells. Scale bars: 1 µm. (A). Zoom in of boxed region in corresponding picture. Scale bars: 200 nm. (I-III) After HPF samples were stained very gently during freeze substitution in order to preserve RFP fluorescence for CLEM. Grids with 90 nm thick sections were first imaged by fluorescent light microscopy. After staining with 3% uranyl acetate and Reynold’s lead citrate, the identical areas were then imaged by TEM. SNCA::RFP colocalizes with spherical and tubular electron dense vesicles. (IV-VI) HPF samples of SNCA::RFP transgenic nematodes were subjected to osmium staining during freeze substitution, revealing that the electron dense spherical and tubular SNCA::RFP-positive structures are enclosed by a single membrane. (b-f) Collapsed confocal z-stacks of nematodes expressing the indicated proteins. 5-d-old animals were analyzed. Scale bars: 10 µm. (B) SNCA::RFP colocalizes to a minor extent with RAB-5-positive early endosomes and (C) with LGG-1 (homolog of LC3)-positive autophagosomes. (D) SNCA::RFP partially localizes to RAB-7-positive late endosomes. (E,F) SNCA::RFP extensively colocalizes with LMP-1, a late endosomal/lysosomal membrane protein, and CTNS-1, a late endosomal/lysosomal amino acid transporter, respectively. (G) Quantification of SNCA::RFP colocalization with indicated vesicle markers using ZEN software. Data are shown as mean ± SEM. In our CLEM samples the rather weak fluorescent signal of diffuse cytosolic SNCA::RFP in 5-d-old animals was mainly lost after the HPF and freeze substitution procedure. However, the relative bright fluorescence of SNCA::RFP foci and tubules could be preserved and correlation showed that SNCA is present in tubular structures which appear as electron dense spherical and tubular vesicular structures (Figure 2A I-III). In the osmium treated samples, we readily identified the corresponding electron dense spherical and tubular structures (Figure 2A IV-VI). Moreover, in these samples, a membrane border was clearly visible showing a typical double-contoured layer (Figure 2A IV-VI). The membranes at the vesicle ends often seem tangentially sectioned, indicating that the image depicts a section through a tubular structure, which extends beyond the section thickness of 70–90 nm. Next, to determine the type of vesicles containing SNCA, we co-expressed various markers for cytosolic vesicles (Figure 2B–F). Colocalization was quantified by Zeiss Zen software (Figure 2G). A minor fraction of SNCA colocalized with RAB-5-positive early endosomes (Figure 2B). In contrast, spherical SNCA foci partially colocalized with LGG-1 (LC3, GABARAP and GATE-16 family), the C. elegans homolog of the autophagosome marker Atg8/LC3 (Figure 2C) and some spherical and tubular SNCA structures colocalized with RAB-7, a marker for multivesicular bodies (MVBs) and late endosomes (Figure 2D). Tubular SNCA structures colocalized extensively with LMP-1, a late endosomal and lysosomal membrane protein (Figure 2E), and with CTNS-1, a late endosomal/lysosomal cystine transporter [42] (Figure 2F). These results indicate that SNCA accumulates in autophagy-related vesicles with lysosome-like properties, and by using an RFP tag to visualize SNCA, we were able to monitor a previously unrecognized endosomal fraction of SNCA in C. elegans.

SNCA vesicle tubulation and movement depends on active trafficking along microtubules

Secretory vesicles have been shown to be transported to the plasma membrane along microtubules [43,44]. Therefore, we tested whether the movement of SNCA::RFP containing vesicles in BWM cells is mediated by microtubule-dependent trafficking by co-expressing EMTB::GFP, a GFP fusion protein containing the microtubule binding domain of MAP7/ensconsin as a tool for in vivo visualization of microtubule dynamics [45]. Indeed, SNCA::RFP vesicles colocalize with (Figure 3A) and move along microtubules (Video S2). To examine the dynamic properties of the SNCA::RFP containing vesicles, the ATP- and microtubule-dependent vesicular transport was inhibited by incubation with the metabolic inhibitor sodium azide (NaN3), which results in rapid depletion of intracellular ATP levels, and with nocodazole (NOC), a microtubule-depolymerizing agent. Upon acute drug treatments with either NaN3 or NOC, the dynamics of vesicular SNCA::RFP movement were inhibited, suggesting that the transport was ATP and microtubule-dependent, respectively (Videos S3-S5). In addition, only NOC treatment, but not ATP depletion, depolymerized microtubules (Figure S2), and caused SNCA::RFP vesicles to collapse from tubular into spherical shapes (Figure 3B, Video S5). Hence, SNCA vesicle tubulation and movement depends on active trafficking along microtubules within BWM cells. These results are consistent with observations that microtubules have distinct roles to determine the morphology of vesicles and to mediate their transport [44].
Figure 3.

SNCA vesicle tubulation and movement depends on active trafficking along microtubules. (A) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP together with EMTB::GFP, showing that vesicular SNCA colocalizes with microtubules (arrows). Scale bars: 10 µm. (B) Collapsed z-stacks of wide field microscopy images of 5-d-old animals expressing SNCA::RFP after acute treatment with the indicated drugs. Note that tubular (arrows) and spherical (arrowheads) vesicles are visible after application of either DMSO solvent control or sodium azide (NaN3), whereas in nocodazole (NOC) treated animals only spherical vesicles are visible. Scale bars: 10 µm.

SNCA vesicle tubulation and movement depends on active trafficking along microtubules. (A) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP together with EMTB::GFP, showing that vesicular SNCA colocalizes with microtubules (arrows). Scale bars: 10 µm. (B) Collapsed z-stacks of wide field microscopy images of 5-d-old animals expressing SNCA::RFP after acute treatment with the indicated drugs. Note that tubular (arrows) and spherical (arrowheads) vesicles are visible after application of either DMSO solvent control or sodium azide (NaN3), whereas in nocodazole (NOC) treated animals only spherical vesicles are visible. Scale bars: 10 µm.

SNCA spreads across a basement membrane and accumulates in epithelial tissue

Vesicular packaging and impaired lysosomal degradation has been suggested to have a critical role in donor cells for the secretion of SNCA [31,34,46-49]. To determine whether SNCA::RFP might be secreted and spread to neighboring tissues, we monitored the appearance of SNCA::RFP outside of BWM cells. We were able to detect the accumulation of SNCA::RFP mainly in the hypodermis (Figure 4B and Video S6), which was confirmed by co-expression of GFP under the control of a hypodermis-specific promoter (Figure 4C). The C. elegans hypodermis consists of a single epithelial layer that surrounds the animal and is separated from internal tissues such as BWM cells by the basement membrane (BM), an extracellular matrix (ECM) comprised of a single layer of collagen, laminin, fibronectin, and other long chain macromolecules [50]. Moreover, SNCA accumulated in endo-lysosomal vesicles of receiving hypodermal cells, as shown by colocalization with the lysosomal marker CTNS-1 that was also expressed in the hypodermis (Figure 4D).
Figure 4.

SNCA is able to cross a basement membrane and accumulates in epithelial tissue. (A) Schematic depiction of region of imaging in (B–D,F). (B–D,F) Collapsed confocal z-stacks of nematodes expressing indicated proteins. White dashed lines outline the borders of BWM cells. Scale bars: 10 µm. (B) SNCA::RFP can be detected outside the borders of BWM cells. (C) GFP expressed in the hypodermis reveals the localization of SNCA inside hypodermal cells. (III-a) y-z orthogonal view of (III). (D) The lysosome marker CTNS-1 expressed in the hypodermis colocalizes with SNCA indicating that SNCA is accumulating in lysosomal vesicles after transmission. (E) TEM analysis of 5-d-old nematodes expressing SNCA::RFP in BWM cells, revealing electron dense spherical and tubular vesicles in hypodermal tissues, which are enclosed by a single or double membrane. Scale bars: 1 µm (I+ II); 200 nm (Ia-IIb). (F) Inter-tissue transmission of SNCA is age-dependent. Images of nematodes expressing SNCA::RFP acquired at indicated time points during development and aging. Hypodermal SNCA can be detected in nematodes that are at least 5 d old. L2 and L4: larval stage 2 and 4; d: day; Ad: adult; M: muscle; H: hypodermis. (G–I) Quantification of animals with hypodermal SNCA harboring the indicated transgenes at indicated ages. (K) Sequential extraction of WT and A53T mutant SNCA::RFP with Tris-HCl buffer, and Tris-HCl buffer containing 1% Triton X-100, 1% sarkosyl and 2% SDS from lysates of 5-d-old animals detects both variants in detergent insoluble fractions. The SNCAA53T variant forms slightly more detergent insoluble material than the WT SNCA protein. The asterisk (*) indicates an unspecific band, which migrates just above the SNCA-specific band in the sarkosyl fraction. In parallel, total lysates were probed with anti-SNCA and anti-actin antibodies to demonstrate equal protein concentrations. (L) Scatter dot plot showing the number of body bands (thrashes) of animals expressing the indicated transgenes during a 30 s swimming period in M9 at indicated ages. Expression of the SNCAA53T variant caused an accelerated decline of muscle function during aging. Data information: Data are shown as mean ± SD. In (G, H and I) statistical analyses were done using two-way ANOVA with Bonferroni posttests. In (L) statistical analyses were done using two-way ANOVA with Holm-Sidak’s multiple comparisons test. n. s. = not significant, ** = p < 0.01, *** = p < 0.001.

SNCA is able to cross a basement membrane and accumulates in epithelial tissue. (A) Schematic depiction of region of imaging in (B–D,F). (B–D,F) Collapsed confocal z-stacks of nematodes expressing indicated proteins. White dashed lines outline the borders of BWM cells. Scale bars: 10 µm. (B) SNCA::RFP can be detected outside the borders of BWM cells. (C) GFP expressed in the hypodermis reveals the localization of SNCA inside hypodermal cells. (III-a) y-z orthogonal view of (III). (D) The lysosome marker CTNS-1 expressed in the hypodermis colocalizes with SNCA indicating that SNCA is accumulating in lysosomal vesicles after transmission. (E) TEM analysis of 5-d-old nematodes expressing SNCA::RFP in BWM cells, revealing electron dense spherical and tubular vesicles in hypodermal tissues, which are enclosed by a single or double membrane. Scale bars: 1 µm (I+ II); 200 nm (Ia-IIb). (F) Inter-tissue transmission of SNCA is age-dependent. Images of nematodes expressing SNCA::RFP acquired at indicated time points during development and aging. Hypodermal SNCA can be detected in nematodes that are at least 5 d old. L2 and L4: larval stage 2 and 4; d: day; Ad: adult; M: muscle; H: hypodermis. (G–I) Quantification of animals with hypodermal SNCA harboring the indicated transgenes at indicated ages. (K) Sequential extraction of WT and A53T mutant SNCA::RFP with Tris-HCl buffer, and Tris-HCl buffer containing 1% Triton X-100, 1% sarkosyl and 2% SDS from lysates of 5-d-old animals detects both variants in detergent insoluble fractions. The SNCAA53T variant forms slightly more detergent insoluble material than the WT SNCA protein. The asterisk (*) indicates an unspecific band, which migrates just above the SNCA-specific band in the sarkosyl fraction. In parallel, total lysates were probed with anti-SNCA and anti-actin antibodies to demonstrate equal protein concentrations. (L) Scatter dot plot showing the number of body bands (thrashes) of animals expressing the indicated transgenes during a 30 s swimming period in M9 at indicated ages. Expression of the SNCAA53T variant caused an accelerated decline of muscle function during aging. Data information: Data are shown as mean ± SD. In (G, H and I) statistical analyses were done using two-way ANOVA with Bonferroni posttests. In (L) statistical analyses were done using two-way ANOVA with Holm-Sidak’s multiple comparisons test. n. s. = not significant, ** = p < 0.01, *** = p < 0.001. We again aimed to examine the aggregation state of SNCA::RFP and the ultrastructural morphology of hypodermal SNCA::RFP vesicles by TEM. Since SNCA::RFP is not expressed in hypodermal cells, we were not able to detect the very weak fluorescent signal from the transmitted fraction of SNCA in FLIM or CLEM. However, by using conventional TEM, electron dense spherical and tubular structures were detected (Figure 4E), which resemble the SNCA::RFP containing vesicles described earlier in BWM (Figure 2A). Intriguingly, some of these vesicles exhibited not only a single, but also a double-membrane border, appearing as 5-contoured layer (low-high-low-high-low electron dense area) (Figure 4E II-a), indicating that they might result from autophagic processes or endocytosis of extracellular vesicles. Again, discontinuous membrane borders are indicative of tubular structures extending beyond the section thickness. Monitoring and quantification of SNCA::RFP dissemination during development and aging revealed a dramatic transition between 4- and 5-d-old animals (corresponding to day 1 and day 2 of adulthood), where transmission of SNCA::RFP into the hypodermis went from rarely being detectable to an average of 80% of animals (Figure 4F,G). This implies that age-related processes might influence the inter-tissue transfer of SNCA. The abrupt onset of spreading was only marginally affected by SNCA::RFP expression levels (Figure 4H and S3). In contrast, the SNCAA53T variant, a point mutation linked to early onset PD and known to be more aggregation prone [51], was transmitted earlier with hypodermal SNCA::RFP being detected in 30% of animals on day 4 (Figure 4I). This correlated with increased aggregation and toxicity of the protein, as examined by detergent extraction assay (Figure 4K) and thrashing assay (Figure 4L), respectively. Hence, aggregation and toxicity appear to affect SNCA spreading. Of note, neither the RFP tag alone, nor 40 polyglutamine repeats fused to RFP (polyQ40::RFP) accumulate in tubular lysosome-like vesicles or are detected in the hypodermis in 5-d-old animals at comparative levels (~10% vs. ~80%) (Figure S4), indicating that these effects are specifically associated with SNCA. These results suggest that the endo-lysosomal system is particularly vulnerable to the accumulation of misfolded SNCA, which is transferred from muscle cells into epithelial cells in an age-dependent manner.

Reduced INS-IGF1 signaling delays SNCA spreading

The striking age-dependence observed for SNCA spreading was further addressed in long-lived animals. In daf-2(e1370) INS-IGF1 receptor mutants, we observed an accumulation of large SNCA::RFP containing vesicles resembling MVBs and fewer tubular vesicles in donor BWM cells in comparison to the WT background (Figure 5A). This correlated with the suppression of the appearance of SNCA::RFP vesicles in the hypodermis in 5-d-old animals (Figure 5A,B). The delay in spreading correlated with a diminished aggregation (Figure 5C,D and S5) and toxicity (Figure 5E) of SNCA::RFP in the daf-2 mutant background. FLIM further revealed that the spherical vesicles in daf-2 mutants contained less aggregated material than the vesicles with tubular shape in WT animals (Figure 5C). However, the suppression of spreading was only transient, and SNCA::RFP accumulated in the hypodermis up to WT levels the following day (Figure 5B,G), although aggregation was still reduced and remained comparable in 5- and 6-d-old daf-2 animals.
Figure 5.

Reduced INS-IGF1 signaling delays SNCA spreading. (A) Collapsed z-stacks of the hypodermis of 5-d-old nematodes expressing SNCA::RFP in the WT or daf-2(e1370) mutant background. (II) Note the appearance of large MVB-like vesicles in SNCA;daf-2 animals. (II-a and II-b) Zoom of boxed regions in (II). Scale bars: 10 µm. (B) Quantification of SNCA transmission (number of animals that exhibit SNCA vesicles within the hypodermis) at indicated ages. n.d.: not determined. Reduced INS-IGF1 signaling in daf-2 mutant animals suppresses the transmission of SNCA::RFP into the hypodermis on day 5. (C) Representative TCSPC-images of SNCA and SNCA;daf-2 nematodes on indicated days of life. Intensity-weighted fluorescence lifetime (τ) is indicated in false colors (decreasing from red to blue). Note the presence of spherical SNCA containing vesicles (arrow) in daf-2 mutant animals and the relatively high fluorescence lifetime of SNCA::RFP in these vesicles compared to the fluorescence lifetime of SNCA::RFP in tubular vesicles (arrowhead) of WT animals on day 5. Scale bars: 25 µm. (D) Bar plots of mean fluorescence lifetime of SNCA::RFP in the WT and daf-2 mutant background at different ages. (E) Scatter dot plot showing the number of body bands (thrashes) of animals harboring the daf-2 mutation and/or expressing SNCA::RFP during a 30-s swimming period in M9 at indicated ages. Reduced insulin receptor function rescued the SNCA::RFP associated decline of muscle function. (F) Schematic depiction of stress response pathways downstream of DAF-2 receptor signaling. Reduced INS-IGF1 signaling increases the activity of the transcription factors HSF-1, DAF-16 and SKN-1, which regulate the expression of downstream genes that improve stress resistance, detoxification and prolong lifespan. (G) Quantification of SNCA::RFP transmission at indicated ages in WT and daf-2 mutant animals upon RNAi-mediated KD of the indicated genes. KD of daf-16 abolishes the daf-2-mediated suppression of SNCA::RFP spreading on day 5. Data information: In (B,E) data are shown as mean ± SD. In (D,G) data are shown as mean ± SEM. In (B,D,G) statistical analyses were done using two-way ANOVA with Bonferroni posttests. In (e) statistical analyses were done using two-way ANOVA with Holm-Sidak’s multiple comparisons test. n. s. = not significant., * = p < 0.05, ** = p < 0.01, *** = p < 0.001.

Reduced INS-IGF1 signaling delays SNCA spreading. (A) Collapsed z-stacks of the hypodermis of 5-d-old nematodes expressing SNCA::RFP in the WT or daf-2(e1370) mutant background. (II) Note the appearance of large MVB-like vesicles in SNCA;daf-2 animals. (II-a and II-b) Zoom of boxed regions in (II). Scale bars: 10 µm. (B) Quantification of SNCA transmission (number of animals that exhibit SNCA vesicles within the hypodermis) at indicated ages. n.d.: not determined. Reduced INS-IGF1 signaling in daf-2 mutant animals suppresses the transmission of SNCA::RFP into the hypodermis on day 5. (C) Representative TCSPC-images of SNCA and SNCA;daf-2 nematodes on indicated days of life. Intensity-weighted fluorescence lifetime (τ) is indicated in false colors (decreasing from red to blue). Note the presence of spherical SNCA containing vesicles (arrow) in daf-2 mutant animals and the relatively high fluorescence lifetime of SNCA::RFP in these vesicles compared to the fluorescence lifetime of SNCA::RFP in tubular vesicles (arrowhead) of WT animals on day 5. Scale bars: 25 µm. (D) Bar plots of mean fluorescence lifetime of SNCA::RFP in the WT and daf-2 mutant background at different ages. (E) Scatter dot plot showing the number of body bands (thrashes) of animals harboring the daf-2 mutation and/or expressing SNCA::RFP during a 30-s swimming period in M9 at indicated ages. Reduced insulin receptor function rescued the SNCA::RFP associated decline of muscle function. (F) Schematic depiction of stress response pathways downstream of DAF-2 receptor signaling. Reduced INS-IGF1 signaling increases the activity of the transcription factors HSF-1, DAF-16 and SKN-1, which regulate the expression of downstream genes that improve stress resistance, detoxification and prolong lifespan. (G) Quantification of SNCA::RFP transmission at indicated ages in WT and daf-2 mutant animals upon RNAi-mediated KD of the indicated genes. KD of daf-16 abolishes the daf-2-mediated suppression of SNCA::RFP spreading on day 5. Data information: In (B,E) data are shown as mean ± SD. In (D,G) data are shown as mean ± SEM. In (B,D,G) statistical analyses were done using two-way ANOVA with Bonferroni posttests. In (e) statistical analyses were done using two-way ANOVA with Holm-Sidak’s multiple comparisons test. n. s. = not significant., * = p < 0.05, ** = p < 0.01, *** = p < 0.001. We next tested which of the pathway downstream of DAF-2 signaling might mediate the delay in SNCA spreading. Reduced INS-IGF1 signaling in daf-2 mutants increases stress resistance and extends lifespan by upregulating the stress response transcription factors, HSF-1, DAF-16 and SKN-1 (Figure 5F). We quantified hypodermal SNCA::RFP in WT and daf-2 mutant animals after silencing the respective genes by RNA interference (RNAi). While there were no effects on the amount of hypodermal SNCA::RFP in WT animals, the knockdown (KD) of daf-16 completely reversed the daf-2 dependent suppression of SNCA spreading in 5-d-old animals (Figure 5G). In contrast, hsf-1 KD had an additive effect and further delayed and reduced SNCA::RFP dissemination in 6- and 7-d-old animals. Overall, these experiments revealed that decreased insulin receptor function delayed but did not abolish hypodermal accumulation of SNCA in a daf-16 dependent manner.

Reduced INS-IGF1 signaling suppresses SNCA-mediated endosomal rupture in receiving cells

To characterize the consequence of SNCA::RFP accumulation in endo-lysosomal vesicles, we used human LGALS3/galectin-3, a lectin that redistributes to damaged endo-lysosomal vesicles and forms puncta upon vesicle rupture [52-54]. In control animals, LGALS3 fused to superfolder GFP (sfGFP::LGALS3) was diffuse in the cytosol and puncta structures were rarely detected (Figure 6A,B). In contrast, co-expression of SNCA::RFP and the reporter in BWM cells resulted in a significant amount of LGALS3 foci formation in 4- and 5-d-old animals indicating vesicle damage (Figure 6A,B), confirming previous reports that misfolded SNCA ruptures endosomes [52,54]. We next examined a strain that expresses sfGFP::LGALS3 in the hypodermis to investigate the effect of SNCA::RFP spreading to receiving cells. In 4-d-old animals, sfGFP::LGALS3 puncta are detected infrequently in both control and SNCA expressing animals. However, in 5-d-old animals, high levels of sfGFP::LGALS3 puncta were detected in SNCA expressing animals, whereas the reporter remained diffuse in control animals (Figure 6C,D). This correlates with the onset of transmission of SNCA into the hypodermis in 5-d-old animals, and suggests that the SNCA::RFP-positive endo-lysosomal vesicles in hypodermal cells ruptured. We took advantage of this reporter and used sfGFP::LGALS3 puncta formation as indirect evidence for SNCA spreading. The co-expression of untagged SNCA in BWM cells was sufficient to cause a significant increase in sfGFP::LGALS3 puncta formation in the hypodermis of 5-d-old animals compared to control animals only expressing sfGFP::LGALS3 (Figure S6). This further confirmed that the observed phenotype can be attributed to SNCA and is not mediated by the RFP tag. In sum, the dissemination and accumulation of SNCA in the receiving epithelial tissue exerts non-cell autonomous toxicity.
Figure 6.

Reduced INS-IGF1 signaling suppresses SNCA-mediated endosomal rupture in receiving cells. (A,C) Collapsed confocal z-stacks of 5-d-old nematodes expressing indicated proteins or harboring indicated mutations. Arrows indicate colocalizing puncta, arrowheads mark non-colocalizing puncta in the merged images. Scale bars: 10 µm. (A) Co-expression of SNCA::RFP and sfGFP::LGALS3 in BWM cells results in increased LGALS3 puncta formation. (B) Quantification of the number of sfGFP::LGALS3 puncta per cell shows that SNCA::RFP induces a comparable level of endo-lysosomal rupture in muscle cells of 4-d-old and 5-d-old animals. (C) In 5-d-old animals, sfGFP::LGALS3 puncta reveal endo-lysosomal leakage in hypodermal cells when SNCA::RFP is expressed in BWM cells, but not in control animals. (D) Quantification of animals with hypodermal sfGFP::LGALS3 foci reveals a striking increase in endo-lysosomal rupture in 5-d-old animals. (E) Collapsed z-stacks of 5-d-old nematodes expressing indicated proteins or harboring indicated mutations. Reduced INS-IGF1 signaling in daf-2 mutant animals protects against lysosomal rupture. Scale bars: 100 µm. (F) Quantification of animals with sfGFP::LGALS3 foci at indicated ages. Data information: In (B,D,F) data are shown as mean ± SD. Statistical analyses were done using two-way ANOVA with Bonferroni posttests. n. s. = not significant, ** = p < 0.01, *** = p < 0.001.

Reduced INS-IGF1 signaling suppresses SNCA-mediated endosomal rupture in receiving cells. (A,C) Collapsed confocal z-stacks of 5-d-old nematodes expressing indicated proteins or harboring indicated mutations. Arrows indicate colocalizing puncta, arrowheads mark non-colocalizing puncta in the merged images. Scale bars: 10 µm. (A) Co-expression of SNCA::RFP and sfGFP::LGALS3 in BWM cells results in increased LGALS3 puncta formation. (B) Quantification of the number of sfGFP::LGALS3 puncta per cell shows that SNCA::RFP induces a comparable level of endo-lysosomal rupture in muscle cells of 4-d-old and 5-d-old animals. (C) In 5-d-old animals, sfGFP::LGALS3 puncta reveal endo-lysosomal leakage in hypodermal cells when SNCA::RFP is expressed in BWM cells, but not in control animals. (D) Quantification of animals with hypodermal sfGFP::LGALS3 foci reveals a striking increase in endo-lysosomal rupture in 5-d-old animals. (E) Collapsed z-stacks of 5-d-old nematodes expressing indicated proteins or harboring indicated mutations. Reduced INS-IGF1 signaling in daf-2 mutant animals protects against lysosomal rupture. Scale bars: 100 µm. (F) Quantification of animals with sfGFP::LGALS3 foci at indicated ages. Data information: In (B,D,F) data are shown as mean ± SD. Statistical analyses were done using two-way ANOVA with Bonferroni posttests. n. s. = not significant, ** = p < 0.01, *** = p < 0.001. In daf-2 mutant animals, endosomal integrity was maintained not only in 5-d-old animals, when SNCA transmission is suppressed, but also in 6- and up to 11-d-old animals, when SNCA is found in the hypodermis to the same extent as in WT animals (Figure 5B,G). The fact that SNCA aggregation was comparable in 10-d-old WT and daf-2 mutants (Figure 5D and S5) indicates that reduced INS-IGF1 signaling has dual effects: it delays protein transmission and suppresses leakage of aggregated SNCA from endocytic vesicles in receiving cells despite continued dissemination, suggesting an improvement in lysosomal protein turnover in donor and receiving tissues.

SNCA spreading to the hypodermis does not involve transfer of intact endo-lysosomal vesicles through Tunneling Nanotubes (TNTs)

We next determined how SNCA is transmitted from BWM cells to the hypodermis, and considered several possibilities. Passive transfer would involve the non-selective release of SNCA from donor cells by cell death or through membrane pores, whereas active transport mechanisms would include ATP-dependent pathways such as vesicular transport through tunneling nanotubes (TNTs) or endo- and exocytosis. To test whether the release of SNCA::RFP occurs passively by the uncontrolled release of cytosolic contents due to membrane leakage and cell death, we co-expressed YFP together with SNCA::RFP in the cytosol of BWM cells and reasoned that release of cytosolic contents from BWM cells would result in detection of YFP fluorescence outside of BWM cells. In BWM cells co-expressing YFP and SNCA::RFP, no extracellular YFP fluorophore was detected and the intensity of YFP fluorescence in BWM cells remained unchanged, while SNCA::RFP was detected in hypodermal tissue (Figure 7A). These results reveal that the intercellular transfer of SNCA::RFP was not a result of membrane leakage.
Figure 7.

SNCA spreading to the hypodermis does not involve transfer of intact endo-lysosomal vesicles through tunneling nanotubes. (A–D) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP together with the indicated markers. (III-a) Zoom of boxed region in (III). Scale bars: 10 µm. (A) Release of SNCA::RFP occurs from intact BWM cells. Only SNCA::RFP and not YFP is detected outside BWM cells, indicating that BWM cells are not leaking cytosolic content. (B) SNCA localizes to vesicles within muscle arms that connect BWM cells with motor neuron axons, visualized by the co-expression of membrane anchored GFP in muscle cells. (C) No membrane bound tubes could be detected between muscle cells and hypodermal cells. (D) The lysosomal marker LMP-1 expressed under a BWM cell-specific promoter colocalizes with SNCA vesicles only in BMW cells, whereas SNCA vesicles are detected in BWM and hypodermal cells.

SNCA spreading to the hypodermis does not involve transfer of intact endo-lysosomal vesicles through tunneling nanotubes. (A–D) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP together with the indicated markers. (III-a) Zoom of boxed region in (III). Scale bars: 10 µm. (A) Release of SNCA::RFP occurs from intact BWM cells. Only SNCA::RFP and not YFP is detected outside BWM cells, indicating that BWM cells are not leaking cytosolic content. (B) SNCA localizes to vesicles within muscle arms that connect BWM cells with motor neuron axons, visualized by the co-expression of membrane anchored GFP in muscle cells. (C) No membrane bound tubes could be detected between muscle cells and hypodermal cells. (D) The lysosomal marker LMP-1 expressed under a BWM cell-specific promoter colocalizes with SNCA vesicles only in BMW cells, whereas SNCA vesicles are detected in BWM and hypodermal cells. Recent reports have suggested that overexpression of SNCA can induce the formation of TNTs, membranous protrusions that connect the cytoplasm of remote cells, for the intercellular transfer of various cargo from cell to cell [55]. We therefore examined whether SNCA induces the formation of TNTs for spreading to the hypodermis. Membranous nanotubes were visualized by co-expressing membrane-anchored GFP together with SNCA in BWM cells. While we readily identified as reported 3–4 muscle arms that correspond to specialized membrane extensions, which grow from muscle cells toward motor neurons to form neuromuscular junctions [56] (Figure 7B), we did not observe additional membrane tubes between muscle and hypodermal cells (Figure 7C). However, this level of resolution might be too low to detect very thin tubes. Therefore, we further tested whether intact SNCA containing vesicles might travel from donor to receiving cells. SNCA localizes to endo-lysosomal vesicles in donor and receiving tissues (Figures 2E,F and 4D). If these TNT bridges exist, they would allow the transfer of SNCA together with the surrounding vesicle membrane [55]. In contrast, when the lysosomal membrane marker LMP-1 was co-expressed with SNCA in BWM cells, only SNCA was detected in the hypodermis (Figure 7D). Thus, although SNCA is accumulating within endo-lysosomal vesicles in both donor and receiving tissues, intact SNCA containing organelles are not exchanged. Taken together, these data reveal that neither the uncontrolled release of cytosolic content nor endo-lysosomal trafficking through TNTs seem to play a major role in the transfer of SNCA into epithelial cells.

Candidate RNAi screen reveals that dissemination of SNCA is mediated by endo- and exocytosis and basement membrane remodeling

Since our results suggest that aggregation and toxicity might affect SNCA spreading, we rationalized that knocking down genes that interfere with SNCA release from BWM cells should increase cell autonomous aggregation and toxicity. Therefore, we tested 110 RNAi clones (Table S2), which were shown to either enhance cell autonomous aggregation or toxicity of SNCA in C. elegans [27,29]. Of the 110 genes tested, 17 genes altered the appearance of SNCA::RFP containing vesicles in BWM cells of 5-d-old animals (Figure 8A). We classified the hits into 4 categories: (i) more spherical and fewer tubular vesicles, (ii) more smaller fragmented vesicles, (iii) elongated vesicles, and (iv) highly elongated or connected vesicles (Figure 8A). Of these, 10 also affected inter-tissue transmission and significantly reduced the number of animals in which SNCA::RFP vesicles appeared in the hypodermis (Figure 8B,C). Regarding the phenotypic classes, the 10 final hits distributed as follows: 1 gene of class i, 1 gene of class ii, 5 genes of class iii and 3 genes of class iv, significantly inhibited the transfer of SNCA::RFP (Figure 8A, gene names in bold black letters). Thus, blocking SNCA spreading often correlates with an increase of tubular elongated SNCA::RFP containing vesicles in donor BWM cells. However, not all genes that affected the appearance of SNCA::RFP containing vesicles in donor cells impaired spreading of the protein.
Figure 8.

Candidate RNAi screen identifies new genetic modifiers of basement membrane transmigration of SNCA. (A) Schematic depiction of the observed vesicle phenotypes in BWM cells in 5-d-old animals. For each category the respective target genes are listed. The effect of one representative gene KD on the appearance of SNCA vesicles is shown on the right (collapsed confocal z-stacks of BWM cells expressing SNCA::RFP). Scale bars: 10 µm. (B) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP after KD of the indicated genes. White dashed lines outline the borders of BWM cells. M, muscle; H, hypodermis. Scale bars: 10 µm. (C) Quantification of animals that exhibit SNCA vesicles within the hypodermis upon KD of the indicated genes. Data are shown as mean ± SEM. Statistical analysis was done using one-way ANOVA with Dunnett’s multiple comparison test. n. s. = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001.

Candidate RNAi screen identifies new genetic modifiers of basement membrane transmigration of SNCA. (A) Schematic depiction of the observed vesicle phenotypes in BWM cells in 5-d-old animals. For each category the respective target genes are listed. The effect of one representative gene KD on the appearance of SNCA vesicles is shown on the right (collapsed confocal z-stacks of BWM cells expressing SNCA::RFP). Scale bars: 10 µm. (B) Collapsed confocal z-stacks of 5-d-old nematodes expressing SNCA::RFP after KD of the indicated genes. White dashed lines outline the borders of BWM cells. M, muscle; H, hypodermis. Scale bars: 10 µm. (C) Quantification of animals that exhibit SNCA vesicles within the hypodermis upon KD of the indicated genes. Data are shown as mean ± SEM. Statistical analysis was done using one-way ANOVA with Dunnett’s multiple comparison test. n. s. = not significant, * = p < 0.05, ** = p < 0.01, *** = p < 0.001. While the identified modifiers have diverse functions, the majority of these impacts SNCA dissemination by affecting 2 main biological processes, vesicular transport and basement membrane organization and biogenesis (see also Table S3 for further information on individual hits). Four of the candidate genes function in vesicular trafficking: cct-2 encodes subunit 2 of chaperonin containing TCP1 (CCT). Depletion of CCT disrupts the microtubule and actin network, impairing intracellular trafficking and lysosomal maturation [57,58], which likely interferes with the trafficking of SNCA::RFP containing vesicles. hgrs-1 (hepatocyte growth factor-regulated TK substrate [HRS] family; an ESCRT-0 subunit) and vha-15 (Vacuolar H ATPase) likely interfere with the secretion of SNCA via exosomes [59-61], whereas apa-2 (adaptin, alpha chain [clathrin associated complex]) might be necessary for the uptake of either free or exosomal SNCA into receiving epithelial cells by clathrin-mediated endocytosis [62]. The second major process that modulates the transfer of SNCA::RFP into the epithelium involves the basement membrane. Half of the identified genetic modulators have a function in ECM remodeling. skr-1 (SKP1 related [ubiquitin ligase complex component]; ortholog of SKP1) was shown to be required for the expression of a specific set of ECM genes [63], while pan-1 (P-granule associated novel protein; ortholog of LGR5) and pde-2 (phosphodiesterase; ortholog of PDE2A, which has a role in tumor growth and invasion [64]) affect ECM composition. LIT-1 (loss of intestine; homolog to human NLK) was recently identified together with CCT as novel regulators of anchor cell invasion through a basement membrane [65], suggesting that a shared set of genes might regulate cell invasion and SNCA spreading.

SNCA spreads from dopaminergic (DA) neurons to the epithelium

Finally, we asked whether SNCA dissemination to epithelial cells is specific to its expression in muscle cells. We therefore expressed SNCA exclusively in the 8 DA neurons of C. elegans (Figure 9A) and monitored the appearance of SNCA in the hypodermis. Besides being visible in DA neuronal bodies and neurites, SNCA was again readily detected in the hypodermis (Figure 9B). Hence, the transfer of SNCA into the hypodermis is not limited to an expression in BWM cells. While the onset of DA to hypodermis transmission was still age-dependent, it occurred during development in 3-d-old animals (L4s) (Figure 9C), a much earlier stage compared to the onset observed for BWM to hypodermis transmission, suggesting that DA neurons might be more vulnerable to the accumulation of SNCA. Moreover, the basement membrane might constitute an additional barrier for SNCA spreading. Neurons of the somatic nervous system (including DA neurons) share a basement membrane with the hypodermis that isolates them from other tissues, such as the body wall muscle tissue. Since there is no basement membrane between neurons and the hypodermis, the intercellular transmission of SNCA should not be affected by the knockdown of genes involved in basement membrane remodeling. In line with this, only genes that are involved in vesicle trafficking affected the spreading of SNCA in these animals (Figure 9D,E). Hence, the dissemination of SNCA across an interstitial ECM depends mainly on vesicle transport processes, while systemic spreading across the more complex ECM of a basement membrane relies on additional changes that only occur later in life.
Figure 9.

Spreading of SNCA from DA neurons to the hypodermis is modulated by genes involved in vesicular trafficking and results in endo-lysosomal rupture that is suppressed by reduced INS-IGF1 signaling. (A) Schematic depiction of the 8 DA neurons of the C. elegans hermaphrodite, which include 4 bilaterally symmetric pairs of neurons (only one side is depicted): 2 pairs of cephalic neurons (2 dorsal CEP [CEPD] and 2 ventral CEP [CEPV]), one pair of anterior deirid sensillum (ADE), and one pair of posterior deirid neurons (PDE). (B,D) Collapsed confocal z-stacks of nematodes expressing SNCA::RFP in DA neurons under the DA transporter promoter (dat-1p). White dashed lines outline the borders of animals. H: hypodermis. Scale bars: 10 µm. (B) SNCA::RFP fluorescence is detected in DA neurons (I) and in the hypodermis (II) in 5-d-old animals. I: 3 different images were stitched together to create a high-resolution montage of the head region. CEP: cephalic neuron, ADE: anterior deirid neuron. (C) Quantification of SNCA::RFP transmission into the hypodermis at indicated ages. (D) Images of 3-d-old nematodes expressing SNCA::RFP in DA neurons after KD of the indicated genes or harboring the indicated mutation. In 49% of SNCA::RFP;apa-2(ox422) animals in which hypodermal vesicles were detected, the vesicles were fewer and appeared round and not tubular shaped, indicating that endocytic vesicles did not further mature into lysosomes. (E) Quantification of SNCA::RFP transmission into the hypodermis in 3-d-old animals upon KD of the indicated genes or harboring the indicated mutation. (F) Quantification of SNCA::RFP expressing animals that exhibit strong morphological abnormalities of CEP neuron axons and dendrites at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. (G) Quantification of SNCA::RFP expressing animals exhibiting a loss of at least one CEP neuron at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. (H) Quantification of SNCA::RFP transmission at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. KD of daf-16 abolishes the daf-2-mediated suppression of SNCA::RFP spreading on day 3. (I) Collapsed z-stacks of the hypodermis of 5-d-old nematodes. sfGFP::LGALS3 puncta reveal endo-lysosomal leakage in hypodermal cells when SNCA::RFP is expressed in DA neurons in WT animals (I: head region and II: periphery), but not in animals harboring the daf-2 mutation (III: head region and IV: periphery). Scale bars: 100 µm. (K) Quantification of animals with more than 5 sfGFP::LGALS3 foci at indicated ages. Data information: In (C,E–H) data are shown as mean ± SEM. In (K) data are shown as mean ± SD. In (E) statistical analysis was done using one-way ANOVA with Dunnett’s multiple comparison test. In (F–H,K) statistical analyses were done using two-way ANOVA with Bonferroni posttests. n. s. = not significant., * = p < 0.05, ** = p < 0.01, *** = p < 0.001.

Spreading of SNCA from DA neurons to the hypodermis is modulated by genes involved in vesicular trafficking and results in endo-lysosomal rupture that is suppressed by reduced INS-IGF1 signaling. (A) Schematic depiction of the 8 DA neurons of the C. elegans hermaphrodite, which include 4 bilaterally symmetric pairs of neurons (only one side is depicted): 2 pairs of cephalic neurons (2 dorsal CEP [CEPD] and 2 ventral CEP [CEPV]), one pair of anterior deirid sensillum (ADE), and one pair of posterior deirid neurons (PDE). (B,D) Collapsed confocal z-stacks of nematodes expressing SNCA::RFP in DA neurons under the DA transporter promoter (dat-1p). White dashed lines outline the borders of animals. H: hypodermis. Scale bars: 10 µm. (B) SNCA::RFP fluorescence is detected in DA neurons (I) and in the hypodermis (II) in 5-d-old animals. I: 3 different images were stitched together to create a high-resolution montage of the head region. CEP: cephalic neuron, ADE: anterior deirid neuron. (C) Quantification of SNCA::RFP transmission into the hypodermis at indicated ages. (D) Images of 3-d-old nematodes expressing SNCA::RFP in DA neurons after KD of the indicated genes or harboring the indicated mutation. In 49% of SNCA::RFP;apa-2(ox422) animals in which hypodermal vesicles were detected, the vesicles were fewer and appeared round and not tubular shaped, indicating that endocytic vesicles did not further mature into lysosomes. (E) Quantification of SNCA::RFP transmission into the hypodermis in 3-d-old animals upon KD of the indicated genes or harboring the indicated mutation. (F) Quantification of SNCA::RFP expressing animals that exhibit strong morphological abnormalities of CEP neuron axons and dendrites at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. (G) Quantification of SNCA::RFP expressing animals exhibiting a loss of at least one CEP neuron at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. (H) Quantification of SNCA::RFP transmission at indicated ages in the WT and daf-2 mutant background and upon KD of the indicated genes. KD of daf-16 abolishes the daf-2-mediated suppression of SNCA::RFP spreading on day 3. (I) Collapsed z-stacks of the hypodermis of 5-d-old nematodes. sfGFP::LGALS3 puncta reveal endo-lysosomal leakage in hypodermal cells when SNCA::RFP is expressed in DA neurons in WT animals (I: head region and II: periphery), but not in animals harboring the daf-2 mutation (III: head region and IV: periphery). Scale bars: 100 µm. (K) Quantification of animals with more than 5 sfGFP::LGALS3 foci at indicated ages. Data information: In (C,E–H) data are shown as mean ± SEM. In (K) data are shown as mean ± SD. In (E) statistical analysis was done using one-way ANOVA with Dunnett’s multiple comparison test. In (F–H,K) statistical analyses were done using two-way ANOVA with Bonferroni posttests. n. s. = not significant., * = p < 0.05, ** = p < 0.01, *** = p < 0.001. Reduced INS-IGF1 signaling in daf-2 mutants resulted in only a minor improvement in morphological abnormalities observed in CEP neurons expressing SNCA::RFP (Figure 9F and S7A), but a significant reduction in neurodegeneration on day 6 in a partially daf-16 dependent manner (Figure 9G), consistent with previous reports [66]. The SNCA;daf-2 mutant animals also tended to perform better than SNCA WT nematodes in a basal slowing response assay that reflects DA function (Figure S7B and S7C). Moreover, the transmission of SNCA::RFP was delayed in the daf-2 mutant background in a daf-16 dependent manner (Figure 9H), in accordance with its effect on SNCA::RFP expressed in BWM cells. The sfGFP::LGALS3 reporter revealed that the continuous spreading of SNCA from DA neurons into hypodermal cells caused again endo-lysosomal rupture, which was almost completely suppressed in daf-2 mutant animals (Figure 9I,K). These results confirm that reducing INS-IGF1 signaling protects endo-lysosomal vesicles against proteotoxic damage.

Discussion

We describe a new SNCA/α-synuclein animal model that facilitates non-invasive tracking of a fraction of SNCA, which accumulates in endo-lysosomal vesicles during aging. Accumulated SNCA conformers are transferred from expressing muscle cells or DA neurons to the epithelial tissue of C. elegans. Our genetic and cell biological evidence supports a model (Figure S8), in which SNCA is transferred from tissue to tissue via vesicular endo- and exocytosis rather than via passive diffusion or tunneling nanotubes. Moreover, the transfer of SNCA across a basement membrane required additional alterations in ECM composition that occurred at later ages. Finally, the accumulation of SNCA in endo-lysosomal vesicles in receiving epithelial cells resulted in non-cell autonomous toxicity by endo-lysosomal membrane permeabilization (LMP), which could be prevented by reducing INS-IGF1 signaling. SNCA containing vesicles colocalize with lysosomal markers but have morphological characteristics and properties that are distinct from classical mature lysosomes. Intriguingly, similar lysosomal shapes and dynamics were recently described upon overexpression of the amino acid transporters CTNS-1 and LAAT-1 [67]. The over-expression of certain amino acid transporters, as well as the accumulation of SNCA, is known to impair lysosomal homeostasis [34,68,69]. Consistent with this, co-expression of SNCA and CTNS-1 had a synergistic effect and enhanced vesicle tubulation (Figures 2F and 4D), whereas impaired INS-IGF1 signaling reduced the number of tubular vesicles (Figure 5C). This suggests that the observed vesicular structures and dynamics could result from endo-lysosomal stress and may represent pre-lysosomal compartments destined for secretion [70]. C. elegans has been instrumental in discovering genes that link vesicular trafficking and lysosomal function to SNCA neurotoxicity or spreading, which have been successfully translated to higher eukaryotes [71-74]. Furthermore, a number of studies in mammalian cell culture models suggested that SNCA is transferred by vesicular exo- and endocytosis, and secreted by an unconventional, endoplasmic reticulum/Golgi-independent exocytosis [46,75-77]. In addition, the interplay between proteotoxic stress, (impaired) SNCA clearance and spreading pathways is becoming increasingly clear [34,46,47,49,76]. Thus, multiple aspects of our findings resemble observations in mammalian models and patients, underlining the relevance of our results for understanding the pathology of the human disease. This study revealed that accumulation of SNCA in endo-lysosomal vesicles of post-mitotic cells such as muscles or DA neurons leads to the transmission of the protein into neighboring epithelial cells for remote degradation, suggesting that the degradation of lysosomal content is coordinated across tissues of a multicellular organism. Our results indicate that failure of lysosomal degradation in one tissue leads to the transfer of hardly digestible substrates to neighboring epithelial cells. A recent transcriptome analysis of C. elegans identified the hypodermis as a tissue with major metabolic and immune functions with a transcriptional profile showing significant similarities with human liver and blood plasma as well as immune cells [78]. It is therefore tempting to speculate that the transfer of SNCA might be either part of a detoxification pathway, a metabolite-recycling pathway or an organismal immune surveillance pathway. A similar pathway for the removal of cellular debris has been recently described: C. elegans neurons were shown to expel misfolded proteins within exophers, large membrane-surrounded vesicles containing damaged cytoplasmic material [25]. While the timing is similar, there are 2 lines of evidence that do not support a major role of exophers in SNCA spreading observed here. First, exopher content was shown to be phagocytosed by the hypodermis [25]. If transfer of SNCA involved phagocytosis, it should not be affected by apa-2 depletion, since knockdown of apa-2 in C. elegans does not inhibit phagocytosis by the hypodermis [79]. The uptake of SNCA into the epithelium likely involves clathrin-mediated endocytosis. Second, SNCA spreading is very efficient occurring in ~70–100% of animals once initiated, whereas exopher release was observed in ~10% of animals. Since we occasionally did observe exophers in our imaging analysis that seemed to originate from SNCA::RFP expressing cells, exopher-mediated transfer might occur in parallel to the transfer by exo- and endocytosis and could account for the ~10% of transmission that we also detected with other aggregation-prone proteins (Figure S4). However, more experiments would be required to examine the exact pathways and the potential involvement of exophers. This inter-tissue dissemination of SNCA is strikingly age-dependent. While the spreading from DA neurons to hypodermis occurs during development between the second and fourth larval stage (corresponding to 2- and 3-d-old animals), the transmigration across a basement membrane occurs between day 1 to day 2 of adulthood (corresponding to 4- and 5-d-old animals). Intriguingly, the latter coincides with a decline of the functional capacity of the proteostasis network, which undergoes drastic changes at that age [1,80,81]. Moreover, there is increasing evidence that organismal proteostasis, the cytoskeleton and ECM homeostasis are interdependent [82,83]. Our data revealed that remodeling of the basement membrane was essential for SNCA spreading from BWM cells to the hypodermis, which is supported by the identification of several modifiers that function in cell invasion and cancer progression. Furthermore, lysosomal exocytosis might also increase the dissemination of SNCA across the basement membrane, since the secretion of lysosomal content also mediates ECM degradation in cell invasion during normal development or cancer metastasis [84,85]. This suggests that the transfer of a protein across a basement membrane might share molecular mechanisms with the transmigration of an entire cell. A surprisingly small number of candidates (only 10 out of 110) inhibited SNCA spreading, although our results with SNCAA53T and daf-2 mutant animals suggested that spreading is influenced by aggregation and toxicity. Moreover, there was no clear correlation between genes regulating SNCA spreading and genes regulating its aggregation and/or toxicity: 4 of the 10 hits that reduce spreading had been previously identified to increase SNCA inclusion formation upon knockdown (tdo-2, hgrs-1, vha-15 and uaf-2), whereas knockdown of 6 genes have been shown to enhance SNCA toxicity (apa-2, pde-2, lit-1, skr-1, cct-2, and pan-1) [27,29]. There is increasing evidence that aggregation and toxicity are uncoupled, as the formation of large visible protein aggregates might even be protective under certain circumstances [86,87]. The absence of a clear correlation suggests that spreading represents another distinct trait of SNCA pathology. Hence, aggregation, toxicity and spreading, though affecting each other, seem to be regulated by several distinct pathways and component genes that may or may not interact. The identified modifiers could affect systemic SNCA::RFP spreading by multiple means. apa-2, hgrs-1, vha-15 and cct-2 likely regulate vesicular trafficking of SNCA::RFP. cct-2 encodes subunit 2 of chaperonin-containing TCP1 (CCT), which has a well-characterized role in tubulin and actin folding. Depletion of this complex disrupts the microtubule and actin network and impairs intracellular trafficking [57]. Moreover, CCT knockdown affects autophagy and lysosomal function [58]. Thus, reducing the levels of CCT-2 likely interferes with the trafficking of secretory SNCA::RFP containing vesicles. hgrs-1 encodes hepatocyte growth factor-regulated tyrosine kinase substrate (HGS), an ESCRT-0 protein. Besides being involved in the generation of MVBs by sorting ubiquitinated proteins into intralumenal vesicles of MVBs and targeting it to lysosomal degradation, HGS was shown to regulate exosome secretion in dendritic cells [61] and could therefore affect the spreading of SNCA by exosomes. Moreover, ESCRT-0 has a role in sorting ubiquitinated cargo for lysosomal degradation at the plasma membrane, consistent with a role in uptake of SNCA in receiving tissues [88]. vha-15 encodes the regulatory subunit H of the peripheral H+-transporting V1 complex of the vacuolar ATPase (V-ATPase), which functions in endosome acidification and maturation. This activity could be necessary for the maturation of SNCA-containing endosomes and subsequent release from donor cells. Additionally, vha-5, encoding a subunit of the membrane-bound V0 domain of the V-ATPase mediates exosomal release from the C. elegans hypodermis [59], independent of its contribution to the proton pump activity. Because the V0 domain can be directly involved in both budding and fusion events of secretory vesicles [60], the KD of vha-15 might also interfere with SNCA spreading by affecting the function of the V0 domain. Finally, apa-2 encodes the α-adaptin subunit of the AP2 complex in clathrin-mediated endocytosis (AP2A1), and is likely necessary for the endocytic uptake of either free or exosomal SNCA into receiving epithelial cells. Half of the genetic modulators identified have a function in ECM remodeling. For example, skr-1 encodes an ortholog of SKP1 (S-phase kinase associated protein 1), an essential component of the SCF (SKP1-CUL1-F-box protein) ubiquitin ligase complex, and is required for the expression of a specific set of ECM genes [63]. pan-1 is an extracellular leucine-rich repeat protein, orthologous to LGR5 (leucine rich repeat containing G protein-coupled receptor 5) with a role in molting [89], for which it is tempting to speculate that pan-1 RNAi might prevent the formation of ECM structures that allow transmission of SNCA. pde-2 is an ortholog of PDE2A/cGMP-dependent 3ʹ,5ʹ-cyclic phosphodiesterase that has a role in tumor growth and invasion [64] and could also affect ECM composition. LIT-1 is a serine/threonine-protein kinase homolog related to human NLK (nemo like kinase). LIT-1 was recently identified together with CCT as novel regulators of anchor cell invasion through a basement membrane [65], suggesting that a shared set of genes might regulate cell invasion and SNCA spreading. The following 2 candidates do not fall into the categories mentioned above. uaf-2 codes for an essential U2AF1/splicing factor U2AF 35 kDa subunit homolog and plays a critical role in alternative splicing of various proteins. Whether its role in splicing or whether the early developmental arrest caused by its depletion prevents spreading of SNCA needs to be established in future studies. Depletion of tdo-2, an ortholog of human TDO2 (tryptophan 2,3-dioxygenase), was recently shown to suppress aggregation and toxicity of SNCA in C. elegans [90]. Perturbations in the kynurenine pathway of tryptophan degradation have been implicated in aging as well as the pathogenesis of many age-related diseases [91]. However, the mechanism by which the inhibition of tdo-2 expression protects against SNCA spreading warrants further investigation. Taken together, some of the genes identified in our candidate screen may become promising candidates for targets of intervention in synucleinopathies. Still, further studies are necessary to explore their therapeutic value. Although it is well established that SNCA exhibits non-cell autonomous toxicity [7,8], the underlying mechanisms remain elusive. A distinct advantage of our C. elegans model is the ability to simultaneously but separately monitor the dynamics of SNCA containing vesicles, in both donor and receiving tissues. Other systems such as the bimolecular fluorescence complementation (BIFC)-based models express SNCA in both, donor and receiving cell populations, and transmission occurs bi-directionally, thus preventing an ability to distinguish between cell autonomous and non-cell autonomous effects [92,93]. Here we show that intercellular transmission of SNCA expressed in neighboring tissue is sufficient to provoke non-cell autonomous toxicity by inducing endocytic vesicle rupture. Endo-lysosomal membrane permeabilization (LMP) is toxic and causes mitochondrial damage, reactive oxygen species production and can ultimately trigger cell death [52,94]. Such chronic detrimental interactions between secreted pathological proteins and epithelial cells might eventually lead to epithelial cell dysfunction. This might facilitate invasion of misfolded SNCA from peripheral tissues and the circulatory system into the CNS [95]. Furthermore, the chronic transfer from neurons to the epithelial layer might lead to blood-brain-barrier breakdown, which is frequently observed in PD and other neurological disorders [96,97]. Blood-brain-barrier leakage might contribute to neurodegeneration as it often results in decreased efflux and subsequent accumulation of toxic molecules including SNCA [95,96]. Thus, continuous spreading and accumulation of misfolded SNCA appears to interfere with the function of multiple cell types and tissues without the manifestation of characteristic SNCA inclusions. Aging is a major risk factor for the development of PD and reducing INS-IGF1 signaling has been shown to protect against SNCA associated neurodegeneration [66,98]. Our study provides further mechanistic details by showing that impaired DAF-2 function prevents vesicle rupture caused by the accumulation of toxic SNCA conformers. This is consistent with recent work showing that inhibition of INS-IGF1 signaling suppresses lysosomal damage and rescues lifespan of scav-3 (scavenger receptor [CD36 family] related; human SCARB2 homolog) mutant animals [67]. Our results provide further evidence that preserving endo-lysosomal integrity is essential to maintain cellular homeostasis during aging and proteotoxic stress. Since endo-lysosomal dysfunction is emerging as key pathological event in various neurodegenerative disorders [99-101], preventing LMP might constitute an effective therapeutic strategy.

Materials and methods

Maintenance of C. elegans and age-synchronization

Wild type (WT) Bristol N2, as well as transgenic animals, were cultured using standard methods [102]. If not otherwise indicated, worms were grown on nematode growth medium (NGM; 50 mM NaCl [Labochem international, LC-5932.1], 0.25 w:v Bacto-Peptone [BD Biosciences, 211820], 1.8% Bacto-Agar [BD Biosciences, 214030], 1 mM MgSO4 [Carl Roth, P027.3], 1 mM KH2PO4, pH = 6 [Serva Electrophoresis GmbH, 26780.01], 1 mM CaCl2 [Carl Roth, T885.1], 5 µg/ml Cholesterol [Sigma-Aldrich, C8667] in EtOH) plates seeded with E. coli strain OP50 (Caenorhabditis Genetics Center, OP50) at 20°C. Animals were age-synchronized by bleaching [103]. Shortly, gravid adults were dissolved in alkaline hypochlorite solution (250 mM NaOH [Carl Roth, P031.2] and 20% sodium hypochlorite solution [NaOCl, min. 14% free chlorine; Thermo Fisher Scientific, 10691164] in H2O). The remaining C. elegans embryos were washed 2 times with M9 buffer (21 mM Na2HPO4 [Sigma-Aldrich, 30414], 22 mM 1KH2PO4, 85 mM NaCl, 1 mM MgSO4) and let hatch with gentle rocking in M9 buffer at 20°C overnight. The next day, L1 larvae were distributed onto NGM or RNAi plates (NGM medium supplemented with 100 µg/ml Ampicillin [Carl Roth, K029.2], 12.5 µg/ml Tetracycline [Sigma-Aldrich, T3383], 1 mM IPTG [Carl Roth, 2316.4]), seeded with the respective bacteria and grown at 20°C. Animals reached day 2 of adulthood 4 d later (corresponding to 5-d-old animals). Alternatively, nematodes were age-synchronization by egg laying [36], by allowing adult animals to lay eggs for 2–3 h before removing them again from the plates. Embryos were grown at 20°C and assayed at the indicated days of life.

Cloning of C. elegans expression constructs and generation of transgenic animals

For constructing C. elegans expression constructs, the MultiSite Gateway Three-Fragment Vector Construction Kit (Thermo Fisher Scientific, 12537-103) was used. The cDNA of WT human SNCA was amplified from a pPD30.38 (Addgene, 1443) expression vector [27] by PCR using oligonucleotides suitable for gateway cloning and inserted into the pDONR221 (Thermo Fisher Scientific, 12537-103) entry vector by recombination. The entry vector coding for A53T mutant human SNCA (SNCAA53T) was generated by mutagenesis PCR using the pDONR221 vectors as a template. Entry vectors pDONR P4-P1R (Thermo Fisher Scientific, 12537-103) containing the myo-3 promoter region (approx. 2.4 kb upstream of the myo-3 gene), or the unc-54 promoter region (approx. 1 kb upstream of the unc-54 gene) and pDONR P2R-P3 (Thermo Fisher Scientific, 12537-103) coding for the C-terminal monomeric RFP tag and the unc-54 3ʹUTR, were generated previously [36]. The entry vector pDONR P4-P1R containing the dat-1 promoter region (approx. 1.4 kb upstream of the dat-1 gene) was purchased (Dharmacon, PCE1182-202307362). The pDONR221 entry vector coding for sfGFP::Gal3 was generated by amplifying the cDNA of sfGFP::Gal3 from a pPD49.26 (Addgene, 1686) expression vector [53]. The Y37A1B.5 promoter region (approx. 2.9 kb upstream of the Y37A1B.5 gene) was amplified from a C. elegans lysate and recombined into the pDONR P4-P1R vector to mediate hypodermis-specific expression. Entry vectors containing the respective promoters, cDNAs and 3ʹUTRs were inserted into the destination vector pDEST R4-R3 (Thermo Fisher Scientific, 12537-103) in an in vitro recombination reaction to create the myo-3p::SNCA WT::rfp::unc-54 3ʹutr, myo-3p::SNCA expression constructs. The plasmids were injected into young adult N2 hermaphrodites to generate transgenic lines carrying an extrachromosomal array. Some plasmids were subsequently integrated by gamma irradiation (myo-3p::WT SNCA and SNCA) or UV irradiation (dat-1p::WT SNCA). Successfully integrated lines were backcrossed at least 5 times into the WT N2 background. Strains used in this study are listed in Table S1.

Drug treatments

Transgenic C. elegans expressing SNCA::RFP in the bus-17(e2800) mutant background were used in these experiments. The impermeability of the adult C. elegans cuticle necessitated the use of the bus-17 mutation for acute drug treatments [45,104]. 5-d-old animals were washed off from regular NGM plates with M9 and incubated for 30 min in M9 buffer containing either 2% DMSO (Sigma-Aldrich, 276,855) as control, or 2% DMSO plus 100 µM nocodazole (NOC; Sigma-Aldrich, M1404), or 2% DMSO plus 10 mM sodium azide (NaN3; Carl Roth, K305.1). Immediately after treatment, animals were mounted on microscope slides for imaging as detailed below. Unfortunately, due to deleterious side effects these drugs could only be administered for a short period of time (up to 1 h), which renders it impossible to test whether the disruption of the microtubule network in donor cells would also completely block the intercellular transfer of SNCA.

Fluorescence microscopy

For imaging, age-synchronized animals were mounted on 5–10% agarose (VWR Chemicals, 35–1020) pads and immobilized in a solution containing 2.5 mM levamisole (Applichem, A4341) and nanosphere size standards (100 nm polystyrene beads, Thermo Fisher Scientific, 3100A). Colocalization of SNCA::RFP with individual markers was examined with a Zeiss LSM 780 confocal microscope (Zeiss, Germany) equipped with a 488 nm Argon laser (25 mW) and a 561 nm DPSS laser (20 mW), and Zeiss ZEN 2010 software (Figures 2B–2F, 3A, 6A, 7A,B and 8A). Z-stack (0.2 µm steps) or time-lapse (1–2 frames per second [fps]) images were acquired for each channel using a Plan-Apochromat 63x/1.4 oil objective. This system allows free selection of the spectral detection range, which was flexibly adapted to ensure full separation of fluorescent signals for each combination of fluorophore. Colocalization of SNCA::RFP with each of the vesicle markers was quantified by the colocalization function of Zeiss ZEN software. For each condition, at least 20 images were measured to calculate the colocalization coefficients for the RFP channel (by summing the pixels in the colocalized region divided by the sum of pixels in the RFP channel). High sensitivity microscopy was performed using a Leica DMi8SD AF spinning disc microscope (Leica Microsystems, Germany) equipped with a 561 nm diode laser (50 mW) and the MetaMorph Advanced Acquisition software (Molecular Devices, U.S.A.) (Figure 1A,B; 4(b); 4f; 5a; 6c; 8b; 9b; 9d; S1c and S1d; S2; S7; Videos S1 and S6). Z-stacks (0.2 µm steps) or time-lapse (1–2 fps) images were acquired for each channel using an Orca Flash 4.0 LT (C11440-42U) camera (Hamamatsu, Japan) and a HC PL APO 40x/1.3 oil or 63x/1.40–0.60 oil objective. High sensitivity combined with colocalization microscopy was performed using a PerkinElmer ERS-VoX spinning disk confocal microscope (PerkinElmer, U.S.A.) on a Nikon Eclipse Ti-E microscope (Nikon, Japan) (Figures 4C,D and 7C,D; S4; Video S2), which was equipped with lasers of 488 and 561 wavelength for fluorochrome excitation and green (527/55) and red (615/70) band pass filters for detection of fluorochrome emission. Z-stacks (0.2 µm steps) or time-lapse (1–2 fps) images were recorded with a Hamamatsu C9100-02 EMCCD camera (Hamamatsu, Japan) using a Nikon Plan Apo VC 60x NA 1.2 water immersion objective (Nikon, Japan). For Figures 3B, 6E and 9I; and Videos S3-S5, a widefield imaging system (xcellence IX81, Olympus, Japan) equipped with an UPlanSApo 40x/0.95 and an Apo N 60x/1.49 oil objective was employed. Z-stacks (0.2 µm steps) or time-lapse (1–2 fps) images were recorded with an Orca-R2 EMCCD camera (Hamamatsu, Japan) using xcellence software (Olympus, Japan). For Figure S6 a Leica M205 FA microscope with a Leica DFC310FX camera and the Leica DFC Twain Software were used (Leica Microsystems, Germany). All further processing of acquired images was performed with ImageJ software (NIH). If not otherwise indicated, maximum projections of z-stacks are shown. The PureDenoise plugin (http://bigwww.epfl.ch/algorithms/denoise/#ij, EPFL) for ImageJ was used to denoise videos where indicated in the video legend [105].

Fluorescence lifetime imaging microscopy (FLIM)

SNCA::RFP, SNCA::RFP;daf-2 or RFP expressing nematodes were analyzed by FLIM on days 4, 5, 6 and 10 of life as previously described [37]. Briefly, nematodes were anesthetized with 250 mM NaN3 for up to 30 min, mounted on a 2.5% agarose-pad for subsequent confocal microscopy and fluorescence lifetime measurements. Measurements were performed using a SP5 (Leica Microsystems, Germany) confocal microscope, objectives used were HCX PL APO 63 × 1.2 and HCX PL APO CS 100 × 1.4. The applied zoom was up to 2-fold. Images were recorded by time correlated single photon counting (TCSPC) using PicoHarp 300 (PicoQuant, Germany). A pulsed supercontinuum laser was used for excitation, emitting pulses at 80 MHz. An acousto-optic beam splitter was used to set the excitation light to 587 nm and to measure emission between 590–700 nm. Photon counting rates were kept below 1% of the laser repetition rate to prevent photon pileup. Images were acquired until 1.000–2.000 photons per pixel were recorded. Images were processed with Flimfit software [106] and fitted as mono-exponential decays. Further analysis was done with OriginPro 9.0 (OriginLab, U.S.A.) and Excel 2016 (Microsoft, U.S.A.).

Correlative light and electron microscopy (CLEM)

High pressure freezing (HPF)

Age-synchronized 5-d-old animals, grown on HT115 (DE3) (Source Bioscience, 3318_Cel_RNAi_complete) or OP50 E. coli bacteria, were picked individually and transferred to 0.1 mm deep aluminium carriers (Engineering Office M. Wohlwend GmbH, 241), filled with a paste of OP50 bacteria mixed with 10% bovine serum albumin (BSA [Biowest, P6154]) in H2O. The samples were covered with an additional aluminium carrier and high pressure frozen using the HPM010 high pressure freezer (Bal-Tec, Liechtenstein).

Freeze substitution and CLEM

Freeze substitution was done using a freeze substitution device EM-AFS2 (Leica Microsystems, Austria). The freeze substitution solution for CLEM contained 0.1% (w:v) uranyl acetate (Science Services, 22,400) in dry acetone (Applichem, 131,007.1611) and the samples were substituted at −90°C for 48 h. The temperature was then increased at a rate of 5°C/h to −45°C followed by 5 h incubation at −45°C. Samples were rinsed with acetone followed by step wise (10%, 25%, 50%, 75%, 4 h each) lowicryl HM20 (Polysciences, 15,924–1) infiltration at −45°C to −25°C. 100% lowicryl was exchanged 3 times every 10 h. UV polymerization was applied for 48 h at −25°C and the temperature was increased to 20°C at a rate of 5°C/h. Finally the samples were left exposed to UV at room temperature for 24 h. Sectioning was done on a Leica UC6 ultramicrotome (Leica Microsystems, Austria) and sections were collected on carbon coated 200 mesh copper grids (Electron Microscopy Sciences, U.S.A., CF200-Cu). Grids with 90-nm thick sections were placed on a drop of water and sandwiched between 2 cover-glasses and imaged with sections facing the objective by fluorescent light imaging using a Leica DMi8SD AF spinning disc microscope (Leica Microsystems, Germany) equipped with a 561 nm diode laser (50 mW) and the MetaMorph Advanced Acquisition software. Single plane images were acquired using a Hamamatsu Orca Flash 4.0 LT camera (Hamamatsu, Japan, C11440-42U) and a HC PL APO 100x/1.4 oil CS2 objective. Subsequently, grids were stained with 3% uranyl acetate and Reynold’s lead citrate (0.08 M Lead[II]-nitrate [Carl Roth, HN32.1] and 0.16 M Trisodium citrate dehydrate [Sigma-Aldrich, S1804]) and the identical areas, identified by position on the grid in relation to grid centre, were imaged on a JEOL JEM-1400 electron microscope (JEOL, Japan) operating at 80 kV and equipped with a 4K TemCam F416 (Tietz Video and Image Processing Systems GmbH, Germany). In the final step the correlation of fluorescence and electron micrographs, based on morphological features, was done using the eC-CLEM software [107].

Freeze substitution and TEM for ultrastructure

In addition, some high-pressure frozen samples were processed for morphological studies. The freeze substitution solution did in this case consist of 2% osmium (Science Services, 19,110), 0.5% uranyl acetate and 3% water in dry acetone. The substitution was done at −90°C for 35 h, followed by warming at 5°C/h to −60°C. The samples were incubated at this temperature for 4 h, warmed to −30°C and incubated for 8 h before the temperature was increased to room temperature. The samples were rinsed in dry acetone, infiltrated step wise (30%, 60%, 100%) in Spurr’s resin (45 g ERL-4221D [Serva Electrophoresis GmbH, 21,041.02], 27 g D.E.R.736 [Serva Electrophoresis GmbH, 18,247.01], 117 g NSA [Serva Electrophoresis GmbH, 30,812.01], 1.8 g DMAE [Serva Electrophoresis GmbH, 20,130.02]) and polymerized at 60°C. 70 nm thin sections of these samples were collected on formvar (Science Services, 15,800) coated copper slot grids (Plano, G 2500C). Post stained sections were imaged as described above.

Worm lysis, western blot and signal quantification

Nematodes were washed 2 times in M9 buffer, and then in lysis buffer (20 mM Tris, pH 7.5 [Carl Roth, 4855.2]; 10 mM ß-mercaptoethanol [Sigma-Aldrich, M3148]; 1% Triton X-100 [Merck, 1.08643.1000]; supplemented with complete protease inhibitor cocktail [Roche, 05056489001]) before shock freezing in liquid nitrogen. Equal volumes of lysis buffer were added along with an appropriate amount of zirconia beads (0.7 mm, BioSpec Products; Carl Roth, N037.1). Worms were mechanically lysed using a FastPrep-24 homogenizer (MP Biomedicals, Germany; 6.5 m/s, 60 s at 4°C). The lysates were transferred into fresh Eppendorf tubes to remove beads and centrifuged (100 x g for 2 min at 4°C) in a tabletop centrifuge to remove carcasses. The supernatant was transferred into fresh Eppendorf tubes and protein concentration was determined using protein assay dye reagent concentrate (Bio-Rad, 500–006). Proteins were separated under denaturing conditions by SDS-PAGE and transferred onto a PVDF membrane (Carl Roth, T830.1) by semi-dry or wet blotting using standard protocols. For transgene detection, mouse monoclonal anti-SNCA antibody (211, Santa Cruz Biotechnology, sc-12767) or anti-mCherry antibody (1C51, Abcam, ab125096) were used. Anti-actin antibody (clone C4, Sigma-Aldrich, MAB1501) was used as loading control. Alkaline phosphatase (AP)-conjugated anti-mouse IgG secondary antibodies (Vector Laboratories, AP-2000) were used for subsequent ECF-based detection (GE Healthcare, RPN5785). Western blot signal intensity analysis was performed using the gel analyzer function of ImageJ on results from 3 independent experiments.

Sequential extraction of SNCA

Detergent fractionation of worm lysates was performed according to the procedure described in Kuwahara et al. [39] with minor modifications. Nematodes were washed 2 times in M9 buffer, and once in Tris-HCl buffer (50 mM Tris, pH 7.5, supplemented with complete protease inhibitor cocktail [Roche, 05056489001]), shock frozen in liquid nitrogen and kept at −80°C. The worm pellet was re-suspended in equal volumes of Tris-HCl buffer and mechanically homogenized as described above. The lysates were cleared of beads and worm debris (2 times centrifugation at 100 x g for 5 min at 4°C). Equal amounts of worm lysates containing approximately 200 μg total protein were then ultracentrifuged at 350,000 x g for 15 min. The supernatant was collected as the Tris-HCl soluble fraction and the resulting pellet was sequentially re-suspended by sonication in 1. Tris-HCl buffer with 1% Triton X-100, 2. Tris-HCl buffer with 1% sarkosyl (Sigma-Aldrich, 61743), and 3. Tris-HCl buffer with SDS sample buffer containing 2% SDS (Carl Roth, CN30.2), each extraction step followed by centrifugation at 350,000 x g for 15 min, resulting in a Triton X-100 soluble fraction, sarkosyl soluble fraction and SDS soluble fraction, respectively. 1/20 of the Tris-HCl soluble fractions, and 1/5 of the Triton X-100, sarkosyl and SDS soluble fractions were subjected to SDS-PAGE and western blotting as detailed above.

RNAi by feeding and RNAi screen

RNAi experiments were performed by feeding nematodes with E. coli HT115(DE3) bacteria expressing target-gene dsRNA, which were retrieved from the Ahringer RNAi library (Source BioScience, 3318_Cel_RNAi_complete) [108]. RNAi plates were seeded with 200 µl of overnight (~14 h) RNAi bacteria cultures, pre-induced with 1 mM IPTG for 3 h. L1 larvae (approx. 40 animals) were transferred onto dried RNAi bacteria seeded plates and grown at 20°C. For the RNAi screen, any effect on the SNCA containing vesicular structures in body wall muscle (BWM) cells relative to the empty vector control was scored in at least 30 animals for each RNAi clone (n ≥3). Moreover, the number of animals that exhibit SNCA::RFP staining in neighboring hypodermal tissue was determined in at least 30 animals for each condition (n ≥3). Experiments were performed blind as to the identity of the RNAi clone, whenever possible. The RNAi experiments with animals expressing SNCA::RFP in dopaminergic neurons were performed as described above with the following modifications: to enhance RNAi efficiency in neurons, we used a strain that is hypersensitive to systemic neuronal RNAi [109].

LGALS3/galectin-3 puncta assay

Lysosomal membrane permeabilization (LMP) was analyzed by the LGALS3/galectin-3 puncta assay [53]. Animals were age-synchronized and the number of human LGALS3 fused to superfolder GFP (sfGFP:: LGALS3) in BWM cells was determined using a Leica DMi8SD AF spinning disc microscope (Leica Microsystems, Germany). At least 20 muscle cells of 20 different animals of each strain were analyzed in each of 4 independent experiments. For hypodermal expression of sfGFP::LGALS3, the number of animals harboring more than 5 or 10 sfGFP::LGALS3 foci in the hypodermis was determined using a Leica M205 FA fluorescence stereomicroscope (Leica Microsystems, Germany). At least 20 animals per strain were analyzed in each of 4 independent experiments.

Behavioral analysis

Thrashing assay

In order to evaluate the physiological consequences of SNCA expression, the function of BWM cells was assessed by a thrashing assay. Age-synchronized animals were transferred from NGM growth plates into M9 buffer. After the animals had become accustomed to the new environment for 1 min, the swimming speed was determined by counting the number of swimming movements (thrashes) within 30 s. One thrash was defined as the entire motion from one side to the other. 10–15 worms were examined for each strain in 3 biological replicates.

Basal slowing response assay

The experimental procedure for the basal slowing response assay, which assesses integrity of dopaminergic circuits in C. elegans, was adapted from Sawin et al. [110]. Strains were synchronized via egg laying and cultivated on fresh OP50 seeded plates until they reached the desired ages. Seeded assay plates were prepared as follows on the day before analysis; 20 µl of OP50 bacteria were added onto 60 mm plates and spread in circular shape using the bottom of a glass culture tube and incubated overnight at 37°C. This generated plates with a ring-shaped bacterial lawn with a central area of approximately 1 cm in diameter without bacteria. The synchronized progeny at the respective stage of development were first washed 3 times in S-basal buffer to remove residual OP50 and then transferred into the center of such an assay plate in a drop of buffer (5 to 10 animals per plate), which was then gently absorbed using a Kimwipe. In parallel, worms were transferred to an unseeded OP50 plate following the same procedure. Both seeded and unseeded assay plates were then left undisturbed for 5 min, before the number of anterior body bends in a 20 s interval were determined for each worm on the seeded and unseeded assay plates. The relative change in the number of body bends (seeded subtracted from unseeded) was determined in 4 independent repeats of the assay, 2 of which were done blinded. Animals with intact dopaminergic neurons will slow down when encountering the bacterial lawn, whereas animals with impaired dopaminergic neuron function will not slow down. As a positive control, cat-2(n4547) mutant animals lacking CAT-2, a homolog for tyrosine hydroxylase, the rate limiting enzyme in the synthesis of dopamine, were used (as described in [111]). The BZ555 strain (Caenorhabditis Genetics Center, BZ555), expressing GFP in all 8 dopaminergic neurons under the control of the dat-1 promoter, was used in this context as a negative control, exhibiting a WT basal slowing response.

CEP neuron analysis

Age-synchronized animals were imaged using a Leica DMi8SD AF spinning disc microscope as detailed above to examine the 4 dopaminergic cephalic sensilla (CEP) neurons for morphological changes. An animal was scored positive for ‘neuronal abnormalities’ if CEP neurons exhibited any of the following strong morphological abnormalities [112]: blebbing (at least 3; beading was not considered strong enough), heavy kinks, breaks or aberrant sprouting of axons (see Figure S7 for representative images). Animals that exhibited a loss of at least one CEP neuron (CEP cell body was invisible in fluorescence microscopy) were scored as ‘animals with CEP neurodegeneration’. The strain BZ555, which expresses only GFP in DA neurons, showed none of these age-associated aberrations [112] at this early stage of life when the animals were examined (on day 2 to 6 of life). 10–15 animals were examined at each day in 3 independent experiments.

Statistical analysis

For all experiments, at least 3 biological replicates were obtained for each strain tested. GraphPad Prism software was used to create graphs and to analyze the data. Data are presented as mean ± standard error of the mean (SEM) if not otherwise indicated. To determine whether there are statistically significant differences between strains or treatments, the following statistical tests were performed. The two-way analysis of variance (ANOVA) with Bonferroni posttests or Holm-Sidak’s multiple comparisons test were used to compare 2 variables (strains and age) with each another. The one-way ANOVA together with a Dunnett post-test was used to compare every mean to a control mean.
  109 in total

1.  Regulation of the cellular heat shock response in Caenorhabditis elegans by thermosensory neurons.

Authors:  Veena Prahlad; Tyler Cornelius; Richard I Morimoto
Journal:  Science       Date:  2008-05-09       Impact factor: 47.728

2.  In vivo identification of regulators of cell invasion across basement membranes.

Authors:  David Q Matus; Xiao-Yan Li; Sarah Durbin; Daniel Agarwal; Qiuyi Chi; Stephen J Weiss; David R Sherwood
Journal:  Sci Signal       Date:  2010-05-04       Impact factor: 8.192

3.  FOXO/4E-BP signaling in Drosophila muscles regulates organism-wide proteostasis during aging.

Authors:  Fabio Demontis; Norbert Perrimon
Journal:  Cell       Date:  2010-11-24       Impact factor: 41.582

4.  Distinct roles in vivo for the ubiquitin-proteasome system and the autophagy-lysosomal pathway in the degradation of α-synuclein.

Authors:  Darius Ebrahimi-Fakhari; Ippolita Cantuti-Castelvetri; Zhanyun Fan; Edward Rockenstein; Eliezer Masliah; Bradley T Hyman; Pamela J McLean; Vivek K Unni
Journal:  J Neurosci       Date:  2011-10-12       Impact factor: 6.167

5.  The glycolytic enzyme, GPI, is a functionally conserved modifier of dopaminergic neurodegeneration in Parkinson's models.

Authors:  Adam L Knight; Xiaohui Yan; Shusei Hamamichi; Rami R Ajjuri; Joseph R Mazzulli; Mike W Zhang; J Gavin Daigle; Siyuan Zhang; Akeem R Borom; Lindsay R Roberts; S Kyle Lee; Susan M DeLeon; Coralie Viollet-Djelassi; Dimitri Krainc; Janis M O'Donnell; Kim A Caldwell; Guy A Caldwell
Journal:  Cell Metab       Date:  2014-05-29       Impact factor: 27.287

6.  Sensitive detection of lysosomal membrane permeabilization by lysosomal galectin puncta assay.

Authors:  Sonja Aits; Jennifer Kricker; Bin Liu; Anne-Marie Ellegaard; Saara Hämälistö; Siri Tvingsholm; Elisabeth Corcelle-Termeau; Søren Høgh; Thomas Farkas; Anna Holm Jonassen; Irina Gromova; Monika Mortensen; Marja Jäättelä
Journal:  Autophagy       Date:  2015       Impact factor: 16.016

7.  Caenorhabditis elegans chaperonin CCT/TRiC is required for actin and tubulin biogenesis and microvillus formation in intestinal epithelial cells.

Authors:  Keiko Saegusa; Miyuki Sato; Katsuya Sato; Junko Nakajima-Shimada; Akihiro Harada; Ken Sato
Journal:  Mol Biol Cell       Date:  2014-08-20       Impact factor: 4.138

Review 8.  Alpha-synuclein spreading in Parkinson's disease.

Authors:  Ariadna Recasens; Benjamin Dehay
Journal:  Front Neuroanat       Date:  2014-12-18       Impact factor: 3.856

9.  Exosomal cell-to-cell transmission of alpha synuclein oligomers.

Authors:  Karin M Danzer; Lisa R Kranich; Wolfgang P Ruf; Ozge Cagsal-Getkin; Ashley R Winslow; Liya Zhu; Charles R Vanderburg; Pamela J McLean
Journal:  Mol Neurodegener       Date:  2012-08-24       Impact factor: 14.195

10.  CCT complex restricts neuropathogenic protein aggregation via autophagy.

Authors:  Mariana Pavel; Sara Imarisio; Fiona M Menzies; Maria Jimenez-Sanchez; Farah H Siddiqi; Xiaoting Wu; Maurizio Renna; Cahir J O'Kane; Damian C Crowther; David C Rubinsztein
Journal:  Nat Commun       Date:  2016-12-08       Impact factor: 14.919

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  11 in total

1.  The cytoprotective sequestration activity of small heat shock proteins is evolutionarily conserved.

Authors:  Aseem Shrivastava; Carl Alexander Sandhof; Kevin Reinle; Areeb Jawed; Carmen Ruger-Herreros; Dominic Schwarz; Declan Creamer; Carmen Nussbaum-Krammer; Axel Mogk; Bernd Bukau
Journal:  J Cell Biol       Date:  2022-09-07       Impact factor: 8.077

2.  LGALS3 (galectin 3) mediates an unconventional secretion of SNCA/α-synuclein in response to lysosomal membrane damage by the autophagic-lysosomal pathway in human midbrain dopamine neurons.

Authors:  Kevin Burbidge; David J Rademacher; Jessica Mattick; Stephanie Zack; Andrea Grillini; Luc Bousset; Ochan Kwon; Konrad Kubicki; Alexander Simon; Ronald Melki; Edward M Campbell
Journal:  Autophagy       Date:  2021-10-06       Impact factor: 13.391

3.  Functional Screening of Parkinson's Disease Susceptibility Genes to Identify Novel Modulators of α-Synuclein Neurotoxicity in Caenorhabditis elegans.

Authors:  Roman Vozdek; Peter P Pramstaller; Andrew A Hicks
Journal:  Front Aging Neurosci       Date:  2022-04-27       Impact factor: 5.702

4.  Colonization of the Caenorhabditis elegans gut with human enteric bacterial pathogens leads to proteostasis disruption that is rescued by butyrate.

Authors:  Alyssa C Walker; Rohan Bhargava; Alfonso S Vaziriyan-Sani; Christine Pourciau; Emily T Donahue; Autumn S Dove; Michael J Gebhardt; Garrett L Ellward; Tony Romeo; Daniel M Czyż
Journal:  PLoS Pathog       Date:  2021-05-06       Impact factor: 6.823

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

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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; Kinya Otsu; Christiane Ott; Luisa Ottobrini; Jing-Hsiung James Ou; Tiago F Outeiro; Inger Oynebraten; Melek Ozturk; Gilles Pagès; Susanta Pahari; Marta Pajares; Utpal B Pajvani; Rituraj Pal; Simona Paladino; Nicolas Pallet; Michela Palmieri; Giuseppe Palmisano; Camilla Palumbo; Francesco Pampaloni; Lifeng Pan; Qingjun Pan; Wenliang Pan; Xin Pan; Ganna Panasyuk; Rahul Pandey; Udai B Pandey; Vrajesh Pandya; Francesco Paneni; Shirley Y Pang; Elisa Panzarini; Daniela L Papademetrio; Elena Papaleo; Daniel Papinski; Diana Papp; Eun Chan Park; Hwan Tae Park; Ji-Man Park; Jong-In Park; Joon Tae Park; Junsoo Park; Sang Chul Park; Sang-Youel Park; Abraham H Parola; Jan B Parys; Adrien Pasquier; Benoit Pasquier; João F Passos; Nunzia Pastore; Hemal H Patel; Daniel Patschan; Sophie Pattingre; Gustavo Pedraza-Alva; Jose Pedraza-Chaverri; Zully Pedrozo; Gang Pei; Jianming Pei; Hadas Peled-Zehavi; Joaquín M Pellegrini; Joffrey Pelletier; Miguel A Peñalva; Di Peng; Ying Peng; Fabio Penna; Maria Pennuto; 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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; Benoit D Roussel; Sophie Roux; Patrizia Rovere-Querini; Ajit Roy; Aurore Rozieres; Diego Ruano; David C Rubinsztein; Maria P Rubtsova; Klaus Ruckdeschel; Christoph Ruckenstuhl; Emil Rudolf; Rüdiger Rudolf; Alessandra Ruggieri; Avnika Ashok Ruparelia; Paola Rusmini; Ryan R Russell; Gian Luigi Russo; Maria Russo; Rossella Russo; Oxana O Ryabaya; Kevin M Ryan; Kwon-Yul Ryu; Maria Sabater-Arcis; Ulka Sachdev; Michael Sacher; Carsten Sachse; Abhishek Sadhu; Junichi Sadoshima; Nathaniel Safren; Paul Saftig; Antonia P Sagona; Gaurav Sahay; Amirhossein Sahebkar; Mustafa Sahin; Ozgur Sahin; Sumit Sahni; Nayuta Saito; Shigeru Saito; Tsunenori Saito; Ryohei Sakai; Yasuyoshi Sakai; Jun-Ichi Sakamaki; Kalle Saksela; Gloria Salazar; Anna Salazar-Degracia; Ghasem H Salekdeh; Ashok K Saluja; Belém Sampaio-Marques; Maria Cecilia Sanchez; Jose A Sanchez-Alcazar; Victoria Sanchez-Vera; Vanessa Sancho-Shimizu; J Thomas Sanderson; Marco Sandri; Stefano Santaguida; Laura Santambrogio; Magda M Santana; Giorgio Santoni; 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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.  The HSP110/HSP70 disaggregation system generates spreading-competent toxic α-synuclein species.

Authors:  Jessica Tittelmeier; Carl Alexander Sandhof; Heidrun Maja Ries; Silke Druffel-Augustin; Axel Mogk; Bernd Bukau; Carmen Nussbaum-Krammer
Journal:  EMBO J       Date:  2020-05-25       Impact factor: 11.598

Review 7.  C. elegans Models to Study the Propagation of Prions and Prion-Like Proteins.

Authors:  Carl Alexander Sandhof; Simon Oliver Hoppe; Jessica Tittelmeier; Carmen Nussbaum-Krammer
Journal:  Biomolecules       Date:  2020-08-15

8.  Glucocerebrosidase reduces the spread of protein aggregation in a Drosophila melanogaster model of neurodegeneration by regulating proteins trafficked by extracellular vesicles.

Authors:  Kathryn A Jewett; Ruth E Thomas; Chi Q Phan; Bernice Lin; Gillian Milstein; Selina Yu; Lisa F Bettcher; Fausto Carnevale Neto; Danijel Djukovic; Daniel Raftery; Leo J Pallanck; Marie Y Davis
Journal:  PLoS Genet       Date:  2021-02-04       Impact factor: 5.917

9.  Kinetic analysis reveals that independent nucleation events determine the progression of polyglutamine aggregation in C. elegans.

Authors:  Tessa Sinnige; Georg Meisl; Thomas C T Michaels; Michele Vendruscolo; Tuomas P J Knowles; Richard I Morimoto
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 11.205

Review 10.  Roles of extracellular vesicles in the aging microenvironment and age-related diseases.

Authors:  Yujia Yin; Huihui Chen; Yizhi Wang; Ludi Zhang; Xipeng Wang
Journal:  J Extracell Vesicles       Date:  2021-10
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