Literature DB >> 32098961

AMPK-dependent activation of the Cyclin Y/CDK16 complex controls autophagy.

Marc Dohmen1,2, Sarah Krieg1, Georgios Agalaridis1,3, Xiaoqing Zhu4, Saifeldin N Shehata5, Elisabeth Pfeiffenberger6, Jan Amelang1, Mareike Bütepage1, Elena Buerova1, Carolina M Pfaff1,7, Dipanjan Chanda4, Stephan Geley6, Christian Preisinger8, Kei Sakamoto5,9, Bernhard Lüscher10, Dietbert Neumann11,12, Jörg Vervoorts13.   

Abstract

The AMP-activated protein kinase (AMPK) is a master sensor of the cellular energy status that is crucial for the adaptive response to limited energy availability. AMPK is implicated in the regulation of many cellular processes, including autophagy. However, the precise mechanisms by which AMPK controls these processes and the identities of relevant substrates are not fully understood. Using protein microarrays, we identify Cyclin Y as an AMPK substrate that is phosphorylated at Serine 326 (S326) both in vitro and in cells. Phosphorylation of Cyclin Y at S326 promotes its interaction with the Cyclin-dependent kinase 16 (CDK16), thereby stimulating its catalytic activity. When expressed in cells, Cyclin Y/CDK16 is sufficient to promote autophagy. Moreover, Cyclin Y/CDK16 is necessary for efficient AMPK-dependent activation of autophagy. This functional interaction is mediated by AMPK phosphorylating S326 of Cyclin Y. Collectively, we define Cyclin Y/CDK16 as downstream effector of AMPK for inducing autophagy.

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Year:  2020        PMID: 32098961      PMCID: PMC7042329          DOI: 10.1038/s41467-020-14812-0

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


Introduction

The AMP-activated protein kinase (AMPK) plays an important role in balancing energy homeostasis through phosphorylating downstream targets. AMPK promotes ATP production by activating catabolic processes and limits ATP consumption by inhibiting anabolic processes under energy stress[1]. AMPK is a heterotrimeric complex with a catalytic α subunit and regulatory β and γ subunits[2]. Increased cellular AMP concentration, e.g., in response to nutrient starvation, is sensed by the γ subunit, promoting a conformational change that stimulates AMPK activity. AMP or ADP binding facilitates phosphorylation of the α subunit at threonine 172 (T172). Liver kinase B1 (LKB1) is the major T172 kinase in response to energy stress and T172 phosphorylation activates AMPK[3,4]. AMPK has been linked to the regulation of macroautophagy (hereafter autophagy), an intracellular degradation and recycling mechanism activated in response to nutrient deprivation, viral infection, organelle damage or formation of protein aggregates. During autophagy a double membrane is formed to surround and isolate cytoplasmic content, which is then delivered to lysosomes for degradation and recycling. A cascade of conserved protein complexes, including autophagy-related proteins (ATGs), regulates the different steps of autophagy[5]. The first two complexes involved in integrating signals for the induction of autophagy are the ATG1/ULK1 complex and the class III phosphatidylinositol-3-kinase (PI3K) complex. The latter consists of the catalytic subunit vacuolar protein sorting mutant 34 (VPS34), the regulatory subunits Beclin1, p150, and ATG14. These complexes are connected to the upstream regulators mammalian target of rapamycin complex 1 (mTORC1) and AMPK[6]. Under nutrient-rich conditions AMPK is suppressed, while mTORC1 is active and inhibits the ATG1/ULK1 complex and thus autophagy. In turn, AMPK is activated in response to nutrient deprivation or other autophagy-promoting cues. Subsequently, it phosphorylates and activates the mTORC1 inhibitor tuberous sclerosis 2 (TSC2) and phosphorylates the mTORC1 subunit Raptor, which together inhibits mTORC1[7,8]. Moreover, AMPK activates the ATG1/ULK1 complex by phosphorylating ULK1[9,10]. AMPK also stimulates the autophagy-specific functions of the class III PI3K complex by phosphorylating Beclin1 and VPS34[11]. Of note is that the mechanisms of these activations by AMPK as well as the full spectrum of AMPK substrates involved in autophagy are only partially known. The cyclin-dependent kinase (CDK) 16 belongs to the PCTAIRE family consisting of CDK16, 17 and 18, which are characterized by a highly conserved kinase domain closely related to those of cell cycle regulating CDKs[12]. In addition to CDK16 (PCTAIRE1), Cyclin Y also interacts with and activates CDK14 (PFTAIRE1)[13]. The CDK16-18 kinase domains are flanked by unique N- and C-terminal extensions[13]. Binding of Cyclin Y to CDK16 requires both the N- and C-terminal regions of CDK16[14] and, in addition, the phosphorylation of S100 and S326 of Cyclin Y[15]. To understand the molecular functions of AMPK in more detail, we perform a kinase substrate screen on protein microarrays and identify the Cyclin Y/CDK 16 complex as AMPK substrate. We identify Cyclin Y S326 as the key target of AMPK, thereby promoting the interaction with CDK16 and stimulating the kinase activity of CDK16. Our findings further define the active Cyclin Y/CDK16 complex as crucial promoter of autophagy and cellular effector of AMPK.

Results

The Cyclin Y/CDK16 complex is an AMPK substrate

AMPK is an energy sensor and implicated in processes that include autophagy, control of cell polarity and cell growth. To understand the AMPK-dependent regulation of these processes in more detail, we searched for AMPK substrates by performing in vitro kinase assays on a protein microarray (ProtoArray) with over 9000 different human proteins (Fig. 1a). Active trimeric AMPK-α1β1γ1 was obtained by bacterial co-expression with the activating LKB1 from a single polycistronic vector[16]. The arrays were incubated with radiolabeled ATP in the presence or absence of AMPK. The signals on the array were evaluated according to the manufacturer’s protocol to define putative targets (Supplementary Data 1). In total 63 proteins fulfilled the set criteria, of which four proteins are known AMPK targets[17] (Supplementary Table 1). We identified both subunits of the Cyclin Y/CDK16 kinase complex as AMPK substrates (Fig. 1b). The phosphorylation of Cyclin Y and CDK16 was confirmed in in vitro kinase assays with recombinant GST-CDK16 and Cyclin Y-His6 and active AMPK-α1β1γ1 (Fig. 1c). Hence we tested whether AMPK affected the interaction of Cyclin Y with CDK16 and the catalytic activity. Cyclin Y and CDK16 were co-expressed in HeLa cells. These cells are deficient for LKB1 but respond to treatment with a combination of AICAR and A769662, which activates AMPK[18,19]. Notably, the combined AICAR/A769662 treatment activates AMPK independently of T172 phosphorylation of the α-subunit[20]. Indeed, AICAR/A769662 stimulated the phosphorylation of acetyl-CoA carboxylase (ACC) (Fig. 1d), a known AMPK substrate[21]. AMPK stimulation enhanced the interaction between Cyclin Y and CDK16, as determined by co-immunoprecipitation, by 2-fold (Fig. 1d, e) and increased kinase activity of the Cyclin Y/CDK16 complex towards myelin basic protein (MBP) (Fig. 1d). Therefore, the data suggest that the in vitro identified AMPK substrates Cyclin Y and CDK16 are also regulated by AMPK in cells.
Fig. 1

Protein microarray screen for the identification of AMPK substrates.

a Schematic representation of the ProtoArray based screen with approximately 9000 human proteins using AMPK (see also Supplementary Data 1). b Details of two sub-arrays incubated with or without AMPK with marked substrates are shown. c GST-CDK16, Cyclin Y-His6 and GST were incubated in the presence of [γ-32P]-ATP with AMPK. Phosphorylation was determined by autoradiography (32P, top). Proteins were visualized by Coomassie blue staining (CB, bottom; n = 2). d HeLa cells were transfected with vectors expressing GFP-CDK16 and Cyclin Y-Flag and treated for 1 h with 0.5 mM AICAR/50 µM A769662 (A769) as indicated. Cyclin Y-Flag was immunoprecipitated with Flag antibodies (IP) and immunoblotted against CDK16 and Cyclin Y or used for in vitro kinase assays with myeloid basic protein (MBP) as substrate. Autoradiographs (32P) and Coomassie blue staining (CB) of MBP are displayed. Whole cell lysates (WCL) were immunoblotted with the indicated antibodies (n = 3). e Quantification of CDK16 co-immunoprecipitated with Cyclin Y. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01, and ***p < 0.001. All error bars indicate SD (n = 3; Cyclin Y + AICAR/A769 vs. Cyclin Y/CDK16: t = 8.719, df = 4; Cyclin Y/CDK16 vs. Cyclin Y/CDK16 + AICAR/A769: t = 5.595, df = 4). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

Protein microarray screen for the identification of AMPK substrates.

a Schematic representation of the ProtoArray based screen with approximately 9000 human proteins using AMPK (see also Supplementary Data 1). b Details of two sub-arrays incubated with or without AMPK with marked substrates are shown. c GST-CDK16, Cyclin Y-His6 and GST were incubated in the presence of [γ-32P]-ATP with AMPK. Phosphorylation was determined by autoradiography (32P, top). Proteins were visualized by Coomassie blue staining (CB, bottom; n = 2). d HeLa cells were transfected with vectors expressing GFP-CDK16 and Cyclin Y-Flag and treated for 1 h with 0.5 mM AICAR/50 µM A769662 (A769) as indicated. Cyclin Y-Flag was immunoprecipitated with Flag antibodies (IP) and immunoblotted against CDK16 and Cyclin Y or used for in vitro kinase assays with myeloid basic protein (MBP) as substrate. Autoradiographs (32P) and Coomassie blue staining (CB) of MBP are displayed. Whole cell lysates (WCL) were immunoblotted with the indicated antibodies (n = 3). e Quantification of CDK16 co-immunoprecipitated with Cyclin Y. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01, and ***p < 0.001. All error bars indicate SD (n = 3; Cyclin Y + AICAR/A769 vs. Cyclin Y/CDK16: t = 8.719, df = 4; Cyclin Y/CDK16 vs. Cyclin Y/CDK16 + AICAR/A769: t = 5.595, df = 4). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

AMPK phosphorylation of Cyclin Y controls CDK16 activity

To determine whether the cellular regulation of Cyclin Y/CDK16 depends on direct phosphorylation by AMPK, we mapped the AMPK phosphorylation sites. For CDK16 we identified eight potential in vitro AMPK phosphorylation sites using mass spectrometry (Supplementary Table 2). These sites could not be verified in cells after immunoprecipitation of GFP-tagged CDK16 by mass spectrometry because the sites either did not respond to AMPK activation by a combined AICAR and A769662 treatment or were not phosphorylated (Supplementary Table 2 and Supplementary Data 2 with the MaxQuant output of the phosphosite analysis). In parallel, we generated and tested phosphorylation site-specific antibodies for S12, S65, S119, S153, S155, and S461 of CDK16. While phosphorylation of CDK16 by AMPK in vitro was detectable for S12, S153, S155, and S461 (Supplementary Fig. 1a), phosphorylation was unaffected in cells upon AMPK activation. The phosphorylation of S155 was not detectable in cells with a phospho-specific antibody and the phospho-S461 antibody did not recognize CDK16 in a phospho-specific manner (Supplementary Fig. 1b). Also the phosphorylation of S65 and S119 did not change after AMPK activation in cells (Supplementary Fig. 1c). In addition, an siRNA-mediated knockdown of AMPK had no effect on S65 and S119 phosphorylation (Supplementary Fig. 1d). Thus, none of the in vitro identified AMPK phosphorylation sites of CDK16 appear to be prominent AMPK substrates in cells. Therefore, we focused on Cyclin Y. We identified S326 as in vitro AMPK phosphorylation site by mass spectrometry (Supplementary Fig. 2a and Supplementary Table 2). This site matches the AMPK consensus motif generated from 64 validated AMPK targets[17]. Furthermore, the site is evolutionarily conserved between mammals, lower vertebrates and arthropods (Supplementary Fig. 2b). We confirmed the AMPK-dependent phosphorylation of Cyclin Y in vitro using a phospho-S326 specific antibody (Fig. 2a)[15]. In this assay the phospho-S326 antibody showed a more then 40-fold increased specificity for the S326 phosphorylated Cyclin Y compared to the unphosphorylated or the S326A mutant Cyclin Y. To determine the specificity, we used a longer exposure of the phospho-S326 blot where binding to the unphosphorylated and phospho-mutant Cyclin Y was visible (Fig. 2a). In a next step the S326 phosphorylation was validated in HeLa cells. S326 phosphorylation increased in response to AMPK activation with the AMPK substrates ACC and Raptor for control (Fig. 2b). This was accompanied by Cyclin Y phosphorylation at S336. Previously, we identified CDK16-dependent S336 phosphorylation of Cyclin Y as cellular readout of CDK16 kinase activity[15,22]. The CDK16-dependent phosphorylation at S336 was inhibited in the Cyclin Y-S326A mutant (Fig. 2b), suggesting that S326 phosphorylation influences the interaction with CDK16. Indeed, after activating AMPK with AICAR/A769662, we observed enhanced interaction between Cyclin Y-Flag and endogenous CDK16 (Fig. 2c). Cyclin Y/CDK16 complex formation was accompanied by an increase in CDK16 kinase activity as measured by S336 phosphorylation of Cyclin Y (Fig. 2c). Furthermore, we investigated the need for AMPK to activate Cyclin Y/CDK16. Knockdown of the AMPK-α1 and α2 subunits diminished Cyclin Y S326 phosphorylation in response to AICAR/A769662 (Fig. 2d).
Fig. 2

Verification of the Cyclin Y S326 phosphorylation site in vitro and in cells.

a GST-Cyclin Y wt and S326A were incubated ± AMPK. S326-P was detected using a phospho-specific antibody (n = 2). b HeLa cells were transfected with vectors expressing Cyclin Y-Flag, the S326A mutant or an empty control vector and treated with 0.5 mM AICAR/50 µM A769662 (A769) for 1 h as indicated. Cyclin Y was immunoprecipitated with a Flag antibody (IP). The blots were immunoblotted with the indicated antibodies (WCL). (n = 2). c HeLa cells were transfected with a vector expressing Cyclin Y-Flag as indicated. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h. Cyclin Y was immunoprecipitated with a Flag antibody. The blots were immunoblotted with the indicated antibodies (n = 2). d HeLa cells were transfected with a vector expressing Cyclin Y-Flag and siRNA against AMPK-α1/2 or control siRNA as indicated. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h. The blots were immunoblotted with the indicated antibodies (n = 2). e NIH3T3 cells were transfected with the indicated siRNAs. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h prior to protein analysis by immunoblotting (n = 2). f NIH3T3 cells were treated with 0.5 mM AICAR/50 µM A769662, EBSS or Ionomycin for 1 h or were grown in glucose-free medium for 16 h and lysates were immunoblotted as indicated (n = 2). n biological independent replicate. Source data are provided as a Source Data file.

Verification of the Cyclin Y S326 phosphorylation site in vitro and in cells.

a GST-Cyclin Y wt and S326A were incubated ± AMPK. S326-P was detected using a phospho-specific antibody (n = 2). b HeLa cells were transfected with vectors expressing Cyclin Y-Flag, the S326A mutant or an empty control vector and treated with 0.5 mM AICAR/50 µM A769662 (A769) for 1 h as indicated. Cyclin Y was immunoprecipitated with a Flag antibody (IP). The blots were immunoblotted with the indicated antibodies (WCL). (n = 2). c HeLa cells were transfected with a vector expressing Cyclin Y-Flag as indicated. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h. Cyclin Y was immunoprecipitated with a Flag antibody. The blots were immunoblotted with the indicated antibodies (n = 2). d HeLa cells were transfected with a vector expressing Cyclin Y-Flag and siRNA against AMPK-α1/2 or control siRNA as indicated. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h. The blots were immunoblotted with the indicated antibodies (n = 2). e NIH3T3 cells were transfected with the indicated siRNAs. After 72 h cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h prior to protein analysis by immunoblotting (n = 2). f NIH3T3 cells were treated with 0.5 mM AICAR/50 µM A769662, EBSS or Ionomycin for 1 h or were grown in glucose-free medium for 16 h and lysates were immunoblotted as indicated (n = 2). n biological independent replicate. Source data are provided as a Source Data file. In addition, we validated the AMPK-dependent phosphorylation of Cyclin Y at S326 in the LKB1-positive U2OS cell line. AICAR/A769662 treatment of U2OS cells enhanced S326 phosphorylation of Cyclin Y (Supplementary Fig. 2c). In parallel, the interaction between Cyclin Y-Flag and endogenous CDK16 was stimulated (Supplementary Fig. 2c), and its kinase activity increased as measured by phosphorylation of Cyclin Y at S336. Similar as in HeLa cells, the AMPK-α1 and α2 subunits were necessary for Cyclin Y S326 phosphorylation in response to AICAR/A769662 (Supplementary Fig. 2d). The phosphorylation of Cyclin Y by AMPK was supported in U2OS cells by the interaction between AMPK and Cyclin Y. Using co-immunoprecipitation, we observed a weak interaction between the endogenous AMPK-α1/2 and Cyclin Y S326A in response to AICAR/A769662 (Supplementary Fig. 3a). With the help of proximity ligation assays the interaction between endougens Cyclin Y and AMPK-β1/2 was measured, which slightly but significantly increased after treating cells with AICAR/A769662 or EBSS (Supplementary Fig. 3b, c). The specificity of the Cyclin Y antibody 2C9E3 was determined for immunoblotting and immunostaining with the help of siRNA-mediated knockdown of endogenous Cyclin Y in U2OS cells (Supplementary Fig. 3d, e). Phosphorylation of endogenous Cyclin Y at S326 was tested in NIH3T3 cells. Upon AICAR/A769662 treatment S326 phosphorylation increased, with the specificity of phosphorylation verified upon knockdown of Cyclin Y (Fig. 2e). Similar to the AICAR/A769662 stimulation, S326 phosphorylation was also enhanced in NIH3T3 cells in response to glucose or amino acid (EBSS) starvation, as well as upon increased Ca2+ signaling (ionomycin), i.e., conditions known to stimulate AMPK activity (Fig. 2f). Collectively, these results provide evidence for AMPK-dependent phosphorylation of Cyclin Y at S326, which promotes Cyclin Y/CDK16 interaction and catalytic activity of CDK16.

Cyclin Y and CDK16 are required for induction of autophagy

AMPK is an important regulator of autophagy[6]. Since phosphorylation of Cyclin Y at S326 was stimulated in response to autophagy-inducing conditions (Fig. 2f), we hypothesized that Cyclin Y/CDK16 might affect autophagy. In support of this idea are the involvement of Cyclin Y/CDK16 in vesicle transport and membrane fusion processes[23-25], both hallmarks of autophagy[26]. We first addressed the role of Cyclin Y or Cdk16 in response to amino acid starvation in NIH3T3 cells. The formation of autophagy-associated LC3-II and the degradation of the autophagic adaptor protein p62 were inhibited upon knockdown of Cdk16 or Cyclin Y (Fig. 3a). In addition, autophagy-associated LC3 puncta formation was reduced to basal level upon knockdown of Cyclin Y or Cdk16 (Fig. 3b, c). These findings provided support for a role of Cyclin Y and Cdk16 in autophagy. Of interest is the missing induction of S326 phosphorylation in the absence of CDK16.
Fig. 3

Cyclin Y and CDK16 are required for efficient induction of autophagy.

a NIH3T3 cells were transfected with siRNA against Cdk16, Cyclin Y or a control for 72 h and grown in EBSS for 2 h. Proteins were detected as indicated (n = 3). b Representative confocal images of the NIH3T3 treated as in panel a. Endogenous LC3 was stained with the 4E12 antibody to monitor autophagy. Scale bar: 50 µm. c Quantification of the LC3 dots shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ***p < 0.001. All error bars indicate SD (n = 3; 100 cells counted for each replicate; siControl vs. siCdk16: t = 10.09, df = 4; siControl vs. siCyclin Y: t = 9.866, df = 4). d NIH3T3 cells were transfected with siControl or siCyclin Y, treated with 200 nM Bafilomycin A1 (Baf. A1) or 3-MA for 2 h, and grown in EBSS for additional 2 h as indicated. Lysates were immunoblotted with the indicated antibodies (n = 2). e Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 200 nM Baf. A1 for 4 h prior to growth in EBSS for additional 2 h. Proteins were measured by immunoblotting (n = 3). f Representative confocal images of the Cdk16+/+ and Cdk16−/− MEFs treated as in panel e. Endogenous LC3 was stained (antibody 4E12) to monitor autophagy. Scale bar: 50 µm. g Quantification of the LC3 dots shown in panel f. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: *p < 0.05 and ***p < 0.001. All error bars indicate SD (n = 3; 100 cells counted for each replicate; EBSS: t = 10.850, df = 4; Baf. A1: t = 4.58, df = 4; EBSS/Baf. A1: t = 3.978, df = 4). h Human CDK16 was stably expressed in immortalized Cdk16−/− MEFs ( + CDK16). Control cells were infected with an empty virus. Cells were treated with 200 nM Baf. A1 and grown in EBSS. Proteins were detected as indicated (n = 2). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

Cyclin Y and CDK16 are required for efficient induction of autophagy.

a NIH3T3 cells were transfected with siRNA against Cdk16, Cyclin Y or a control for 72 h and grown in EBSS for 2 h. Proteins were detected as indicated (n = 3). b Representative confocal images of the NIH3T3 treated as in panel a. Endogenous LC3 was stained with the 4E12 antibody to monitor autophagy. Scale bar: 50 µm. c Quantification of the LC3 dots shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ***p < 0.001. All error bars indicate SD (n = 3; 100 cells counted for each replicate; siControl vs. siCdk16: t = 10.09, df = 4; siControl vs. siCyclin Y: t = 9.866, df = 4). d NIH3T3 cells were transfected with siControl or siCyclin Y, treated with 200 nM Bafilomycin A1 (Baf. A1) or 3-MA for 2 h, and grown in EBSS for additional 2 h as indicated. Lysates were immunoblotted with the indicated antibodies (n = 2). e Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 200 nM Baf. A1 for 4 h prior to growth in EBSS for additional 2 h. Proteins were measured by immunoblotting (n = 3). f Representative confocal images of the Cdk16+/+ and Cdk16−/− MEFs treated as in panel e. Endogenous LC3 was stained (antibody 4E12) to monitor autophagy. Scale bar: 50 µm. g Quantification of the LC3 dots shown in panel f. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: *p < 0.05 and ***p < 0.001. All error bars indicate SD (n = 3; 100 cells counted for each replicate; EBSS: t = 10.850, df = 4; Baf. A1: t = 4.58, df = 4; EBSS/Baf. A1: t = 3.978, df = 4). h Human CDK16 was stably expressed in immortalized Cdk16−/− MEFs ( + CDK16). Control cells were infected with an empty virus. Cells were treated with 200 nM Baf. A1 and grown in EBSS. Proteins were detected as indicated (n = 2). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file. We investigated the autophagic flux by combining Bafilomycin A1 (Baf. A1) treatment with EBSS-mediated starvation. LC3-II formation upon amino acid starvation was further increased by Baf. A1. Cyclin Y knockdown inhibited the LC3 lipidation, suggesting that Cyclin Y is required for the EBSS-induced autophagic flux (Fig. 3d). For control, 3-methyladenine (3-MA) was applied, which blocks the activity of the VPS34 PI3K complex and thus inhibits an early step in autophagy[27]. Next, we addressed the role of Cdk16 using Cdk16+/+ and Cdk16−/− mouse embryo fibroblasts (MEFs) by treating the cells with EBSS and Baf. A1. In the absence of Cdk16 the lipidation and the puncta formation of LC3 was substantially reduced in immortalized cells (Fig. 3e–g). We also studied the autophagy marker WIPI1 and Wipi2[28]. Puncta formation of endogenous Wipi2b was reduced in Cdk16−/− MEFs compared to Cdk16+/+ MEFs in response to starvation (Supplementary Fig. 4a, b). Similarly, in cells stably expressing GFP-WIPI1 we observed reduced puncta formation in Cdk16−/− MEFs compared to Cdk16+/+ MEFs in response to starvation (Supplementary Fig. 4c, d). To evaluate whether the autophagic defect in the Cdk16−/− MEFs resulted from the depletion of Cdk16, we introduced human CDK16 (human splice isoform 1 (Uniprot Q00536-1)) into these cells (Fig. 3h). Its protein expression level was comparable to that of the endogenous Cdk16. Whether the two protein bands detected for the endogenous mouse Cdk16 correspond to different splice isoforms or are the result of posttranslational modifications is not known (Fig. 3h). Importantly, human CDK16 wild-type (wt) rescued the autophagy defect upon EBSS treatment in reconstituted Cdk16−/− MEFs (Fig. 3h). Together, these data suggest that Cyclin Y and Cdk16 regulate autophagy.

Autophagy induction needs the active Cyclin Y/CDK16 complex

In the following, we addressed whether the interaction of Cyclin Y and CDK16 and the kinase activity of the complex were important to control autophagy. We employed the binding deficient Cyclin Y-L222A/S224A mutant (Cyclin Y-AA) and the kinase-deficient CDK16 K194R mutant (CDK16-KR) mutant[14]. The inability of Cyclin Y-AA to interact with and activate CDK16 was verified (Supplementary Fig. 5a). While over-expression of the Cyclin Y/CDK16 complex in NIH3T3 cells induced LC3 lipidation to an extent comparable to EBSS treatment, Cyclin Y/CDK16-KR or Cyclin Y-AA/CDK16 failed to stimulate LC3 lipidation (Fig. 4a). This was further verified using NIH3T3 cells stably expressing mCherry-GFP-LC3[29]. This allows distinguishing autophagosomes from autolysosomes, because the red, acid insensitive mCherry can be measured in both compartments while the green, acid sensitive GFP can only be detected in the former. Thus, autophagosomes appear yellow (a combination of red and green) and autolysosomes red, permitting the analysis of autophagic flux. The expression of the Cyclin Y/CDK16 complex increased the puncta formation of yellow and red dots similarly to EBSS treatment, while Baf. A1 promoted the accumulation of yellow autophagosomes (Fig. 4b, c). A significantly lower number of autophagosomes and autolysosomes were measured upon expression of Cyclin Y/CDK16-KR or Cyclin Y-AA/CDK16. A similar effect was observed by reconstituting the Cdk16−/− MEFs with a GFP-CDK16-KR mutant in comparison to CDK16-wt (Supplementary Fig. 5b). These results suggest that active Cyclin Y/CDK16 accelerates autophagic flux.
Fig. 4

Active Cyclin Y/CDK16 complexes induce autophagy.

a NIH3T3 cells stably expressing mCherry-GFP-LC3 were transfected with HA-CDK16 and Cyclin Y-Flag as indicated or treated for 2 h with EBSS or for 4 h with 200 nM Bafilomycin A1 (Baf. A1) and lysates were immunoblotted as indicated. KR kinase-deficient CDK16 mutant, AA CDK16 binding deficient Cyclin Y mutant (n = 3). b Representative confocal images of the NIH3T3-mCherry-GFP-LC3 cells treated as in panel a. Staining of the HA-CDK16 in purple identified transfected cells. Autophagosomes (yellow dots) and autolysosomes (red dots) were detected by an overlay of the GFP and mCherry fluorescent signals. Scale bar: 20 µm. c Quantification of autophagosomes (yellow dots) and autolysosomes (red dots) of cells shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01. All error bars indicate SD (n = 3; 50 cells counted for each replicate; wt vs. KR: t = 5.707, df = 4; wt vs. AA: t = 5.557, df = 4). d GFP-tagged CDK14, CDK15 or CDK16 were expressed with or without Cyclin Y-Flag in HeLa cells. Cyclin Y was immunoprecipitated with a Flag antibody (IP). Lysates were immunoblotted with the indicated antibodies (WCL). (n = 4) e Representative confocal images of HeLa cells treated as in panel d. Fluorescent GFP signals identified CDK expressing cells. Endogenous LC3 (red) was used to measure autophagy with the 4E12 antibody. Scale bar: 50 µm. f Quantification of the LC3 dots shown in panel e. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 100 cells were counted for each treatment; control vs. Cyclin Y/CDK16: t = 6.771, df = 14; Cyclin Y/CDK14 vs. Cyclin Y/CDK16: t = 6.855, df = 14; Cyclin Y/CDK15 vs. Cyclin Y/CDK16: t = 7.139, df = 15). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

Active Cyclin Y/CDK16 complexes induce autophagy.

a NIH3T3 cells stably expressing mCherry-GFP-LC3 were transfected with HA-CDK16 and Cyclin Y-Flag as indicated or treated for 2 h with EBSS or for 4 h with 200 nM Bafilomycin A1 (Baf. A1) and lysates were immunoblotted as indicated. KR kinase-deficient CDK16 mutant, AA CDK16 binding deficient Cyclin Y mutant (n = 3). b Representative confocal images of the NIH3T3-mCherry-GFP-LC3 cells treated as in panel a. Staining of the HA-CDK16 in purple identified transfected cells. Autophagosomes (yellow dots) and autolysosomes (red dots) were detected by an overlay of the GFP and mCherry fluorescent signals. Scale bar: 20 µm. c Quantification of autophagosomes (yellow dots) and autolysosomes (red dots) of cells shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01. All error bars indicate SD (n = 3; 50 cells counted for each replicate; wt vs. KR: t = 5.707, df = 4; wt vs. AA: t = 5.557, df = 4). d GFP-tagged CDK14, CDK15 or CDK16 were expressed with or without Cyclin Y-Flag in HeLa cells. Cyclin Y was immunoprecipitated with a Flag antibody (IP). Lysates were immunoblotted with the indicated antibodies (WCL). (n = 4) e Representative confocal images of HeLa cells treated as in panel d. Fluorescent GFP signals identified CDK expressing cells. Endogenous LC3 (red) was used to measure autophagy with the 4E12 antibody. Scale bar: 50 µm. f Quantification of the LC3 dots shown in panel e. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 100 cells were counted for each treatment; control vs. Cyclin Y/CDK16: t = 6.771, df = 14; Cyclin Y/CDK14 vs. Cyclin Y/CDK16: t = 6.855, df = 14; Cyclin Y/CDK15 vs. Cyclin Y/CDK16: t = 7.139, df = 15). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file. Furthermore, we determined the ability of Cyclin Y/CDK16 to induce autophagy in HeLa cells. As for NIH3T3 cells, LC3-II formation and LC3 puncta increased in response to Cyclin Y/CDK16 expression due to enhanced autophagic flux (Supplementary Fig. 6a–c). Flux inhibition by the lysosomal protease inhibitors Pepstatin A (PepA) and E64, or by Baf. A1, led to an additional increase of LC3-II and LC3 puncta (Supplementary Fig. 6d–f). 3-MA abrogated the ability of Cyclin Y/CDK16 to stimulate autophagy (Supplementary Fig. 6d–f). Also, Cyclin Y/CDK16-KR and Cyclin Y-AA/CDK16 were less efficient in inducing autophagy (Supplementary Fig. 6a–c). These results confirm the autophagy-promoting activity of Cyclin Y/CDK16 complexes in human cells.

CDK14 and CDK15 show no involvement in autophagy

Besides CDK16, Cyclin Y also interacts with and activates CDK14[30,31]. Therefore, we addressed whether Cyclin Y/CDK14 was able to regulate autophagy. Because of its high homology to CDK14, we also tested CDK15, the second member of the PFTAIRE family. Cyclin Y interacted with all three kinases, which were active as monitored by S336 phosphorylation of Cyclin Y (Fig. 4d). However, when LC3 lipidation and puncta formation were measured, only CDK16 was capable of stimulating autophagy (Fig. 4d–f), indicating selectivity between the three Cyclin Y-kinase complexes.

Cyclin Y/CDK16-induced autophagy requires ULK1 and Beclin1

Several autophagy-related pathways use LC3 lipidation, including LC3-associated phagocytosis (LAP) and the LC3 conjugation system for Interferon-γ-mediated pathogen control[26]. However, these pathways are independent of ULK1[32]. In addition, ATG5-dependent and Beclin1-independent cases of autophagy have been described[32]. To determine whether Cyclin Y/CDK16 promotes autophagy dependent on ULK1 and/or Beclin1, we interfered with ULK1 and Beclin1 expression. The knockdown of ULK1 or Beclin1 inhibited the Cyclin Y/CDK16-dependent autophagy (Fig. 5a–c). Therefore, activation of autophagy by Cyclin Y/CDK16 appears to require both the ULK1 and Beclin1 complexes.
Fig. 5

ULK1 and Beclin1 are required for Cyclin Y/CDK16-induced autophagy.

a HeLa cells were co-transfected with siRNA against ULK1, Beclin1 or a control and vectors expressing GFP-CDK16 and Cyclin Y-Flag for 72 h. Lysates were immunoblotted with the indicated antibodies. (n = 3). b Representative confocal images of HeLa cells treated as in panel a. GFP-CDK16 identified transfected cells. Endogenous LC3 staining (red) with the 4E12 antibody monitored autophagy. Scale bar: 50 µm. c Quantification of the LC3 dots shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 250 cells were analyzed for each treatment; siControl vs. siControl Cyclin Y/CDK16: t = 13.49, df = 8; siControl Cyclin Y/CDK16 vs. siULK1 Cyclin Y/CDK16: t = 13.53, df = 8; siControl Cyclin Y/CDK16 vs. siBeclin1 Cyclin Y/CDK16: t = 13.15, df = 8). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

ULK1 and Beclin1 are required for Cyclin Y/CDK16-induced autophagy.

a HeLa cells were co-transfected with siRNA against ULK1, Beclin1 or a control and vectors expressing GFP-CDK16 and Cyclin Y-Flag for 72 h. Lysates were immunoblotted with the indicated antibodies. (n = 3). b Representative confocal images of HeLa cells treated as in panel a. GFP-CDK16 identified transfected cells. Endogenous LC3 staining (red) with the 4E12 antibody monitored autophagy. Scale bar: 50 µm. c Quantification of the LC3 dots shown in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 250 cells were analyzed for each treatment; siControl vs. siControl Cyclin Y/CDK16: t = 13.49, df = 8; siControl Cyclin Y/CDK16 vs. siULK1 Cyclin Y/CDK16: t = 13.53, df = 8; siControl Cyclin Y/CDK16 vs. siBeclin1 Cyclin Y/CDK16: t = 13.15, df = 8). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

Cyclin Y/CDK16 is a downstream effector of AMPK

Our findings suggest that AMPK regulates autophagy through Cyclin Y/CDK16. This was addressed directly by activating AMPK in Cdk16−/− MEFs and monitoring autophagy. While ACC was phosphorylated independently of Cdk16 (Fig. 6a), LC3 conversion and puncta formation as well as the autophagic flux were reduced in the absence of Cdk16 (Fig. 6a–d). Comparable findings were made in NIH3T3 cells where Cyclin Y knockdown decreased autophagy (Fig. 6e–g). These results provide support for Cyclin Y/Cdk16 acting as a downstream effector of AMPK during the induction of autophagy.
Fig. 6

AMPK-induced autophagy requires Cyclin Y/CDK16.

a Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 1 mM AICAR for 1 or 16 h. Lysates were immunoblotted with the indicated antibodies (n = 3). b Representative confocal images of the Cdk16+/+ and Cdk16−/− MEFs treated as in panel a. Endogenous LC3 Staining with the 4E12 antibody monitored autophagy. Scale bar: 50 µm. c LC3 dots of experiments as shown in panel b were quantified. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01. All error bars indicate SD. (n = 3; 100 cells counted for each replicate; Cdk16+/+ + AICAR vs. Cdk16−/− + AICAR: t = 4.964; df = 4). d Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 1 mM AICAR for 1 h and/or with 200 nM Bafilomycin A1 (Baf. A1) for 6 h as indicated. For the combination, AICAR was added during the last hour of Baf. A1 treatment. Lysates were immunoblotted with the indicated antibodies (n = 1). e NIH3T3 cells were transfected with siRNA against Cyclin Y or control siRNA and stimulated with 0.5 mM AICAR/50 µM A769662 (A769) or with 200 nM Baf. A1 or a combination. Proteins were analyzed as indicated. (n = 3). f Representative confocal images of the NIH3T3 cells treated as in panel e. Endogenous LC3 was stained with the 4E12 antibody to depict autophagy. Scale bar: 50 µm. g LC3 dots as shown in panel f were quantified. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01, ***p < 0.001. All error bars indicate SD. (n = 3; 100 cells counted for each replicate; AICAR/A769: t = 9.494, df = 6; Baf. A1: t = 6.549, df = 6; AICAR/A769 + Baf. A1: t = 9.484, df = 4). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

AMPK-induced autophagy requires Cyclin Y/CDK16.

a Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 1 mM AICAR for 1 or 16 h. Lysates were immunoblotted with the indicated antibodies (n = 3). b Representative confocal images of the Cdk16+/+ and Cdk16−/− MEFs treated as in panel a. Endogenous LC3 Staining with the 4E12 antibody monitored autophagy. Scale bar: 50 µm. c LC3 dots of experiments as shown in panel b were quantified. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01. All error bars indicate SD. (n = 3; 100 cells counted for each replicate; Cdk16+/+ + AICAR vs. Cdk16−/− + AICAR: t = 4.964; df = 4). d Immortalized Cdk16+/+ and Cdk16−/− MEFs were treated with 1 mM AICAR for 1 h and/or with 200 nM Bafilomycin A1 (Baf. A1) for 6 h as indicated. For the combination, AICAR was added during the last hour of Baf. A1 treatment. Lysates were immunoblotted with the indicated antibodies (n = 1). e NIH3T3 cells were transfected with siRNA against Cyclin Y or control siRNA and stimulated with 0.5 mM AICAR/50 µM A769662 (A769) or with 200 nM Baf. A1 or a combination. Proteins were analyzed as indicated. (n = 3). f Representative confocal images of the NIH3T3 cells treated as in panel e. Endogenous LC3 was stained with the 4E12 antibody to depict autophagy. Scale bar: 50 µm. g LC3 dots as shown in panel f were quantified. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01, ***p < 0.001. All error bars indicate SD. (n = 3; 100 cells counted for each replicate; AICAR/A769: t = 9.494, df = 6; Baf. A1: t = 6.549, df = 6; AICAR/A769 + Baf. A1: t = 9.484, df = 4). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file. Next, we addressed the role of Cyclin Y S326 phosphorylation. Compared to wild-type Cyclin Y, the S326A mutant was unable to induce autophagy in HeLa cells (Fig. 7a–c), probably because this mutant cannot interact with and activate CDK16 (Figs. 2b and 7a). In support of this interpretation, Cyclin Y S100A, a CDK16 binding deficient mutant[15], did neither co-immunoprecipitate with CDK16 nor induce autophagy (Fig. 7a–c). In contrast, mutation of S324A, which is neighboring the S326 phosphorylation site, had no effect (Fig. 7a–c and Supplementary Fig. 7a). To expand on the relevance of the S326 phosphorylation site, we tested whether the S326E and S326D mutants were capable of mimicking S326 phosphorylation. However, both mutants bound with reduced affinity to CDK16 and, accordingly, induced LC3 lipidation less efficiently (Supplementary Fig. 7b). Thus, an acidic residue was insufficient to mimic S326 phosphorylation. Notably, the phosphorylation of S324 has been described in multiple proteome analyses (www.phosphosite.org/uniprotAccAction?id=Q8ND76)[33], which might be affected by S326E and S326D. However, the binding of the double mutants S324A/S326D and S324A/S326E to CDK16 was even weaker (Supplementary Fig. 7b). A reason for the failure of the phospho-mimic mutants S326E and S326D to induce autophagy might be their inability to recruit 14-3-3 proteins, which are required for activation of CDK16. Indeed, the phospho-mimic mutants behaved like the S100A and S326A mutants, which did not interact with 14-3-3 (Supplementary Fig. 7a, b)[15]. Thus, the data suggest that phosphorylation of Cyclin Y at S326 stimulates the interaction with CDK16 and activates CDK16 by recruiting 14-3-3 proteins.
Fig. 7

AMPK-dependent phosphorylation of Cyclin Y at S326 is required for autophagy.

a HeLa cells were transfected with GFP-CDK16, Cyclin Y-Flag or phosphosite mutants as indicated. The interaction of CDK16 and Cyclin Y was analyzed in GFP-specific immunoprecipitations (IP). Proteins were analyzed by immunoblotting as specified (WCL). (n = 2). b Representative confocal images of HeLa cells from panel a. GFP-CDK16 identified transfected cells and staining for endogenous LC3 (red, antibody 4E12) monitored autophagy. Scale bar: 50 µm. c Quantification of LC3 dots per cell treated as displayed in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01; ***p < 0.001; ****p < 0.0001. All error bars indicate SD. (n = 1; 100 cells were analyzed for each treatment; control vs. Cyclin Y/CDK16: t = 7.274, df = 11; control vs. Cyclin Y S324A/CDK16: t = 4.356, df = 8; Cyclin Y/CDK16 vs. Cyclin Y S100A/CDK16: t = 8.644, df = 13; Cyclin Y/CDK16 vs. Cyclin Y S326A/CDK16: t = 7.765, df = 13; Cyclin Y S100A/CDK16 vs. Cyclin Y S324A/CDK16: t = 5.214, df = 10; Cyclin Y S324A/CDK16 vs. Cyclin Y S326A/CDK16: t = 4.734, df = 10). d HeLa cells were transfected with GFP-CDK16 and Cyclin Y-Flag-wt or the S326A mutant and siRNA against AMPK-α1/2 or control. The interaction of CDK16 and Cyclin Y was analyzed in GFP-specific immunoprecipitations. Proteins were analyzed by immunoblotting as specified. (n = 2). e Representative confocal images of the HeLa cells from panel d. GFP-CDK16 identified the transfected cells and staining for endogenous LC3 (red, antibody 4E12) measured autophagy. Scale bar: 50 µm. f Quantification of the LC3 dots shown in panel e. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 250 cells were analyzed for each treatment; siControl vs. siControl Cyclin Y/CDK16: t = 8.113, df = 8; siControl Cyclin Y/CDK16 vs. siAMPK-α1/2 Cyclin Y/CDK16: t = 8.290, df = 8). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file.

AMPK-dependent phosphorylation of Cyclin Y at S326 is required for autophagy.

a HeLa cells were transfected with GFP-CDK16, Cyclin Y-Flag or phosphosite mutants as indicated. The interaction of CDK16 and Cyclin Y was analyzed in GFP-specific immunoprecipitations (IP). Proteins were analyzed by immunoblotting as specified (WCL). (n = 2). b Representative confocal images of HeLa cells from panel a. GFP-CDK16 identified transfected cells and staining for endogenous LC3 (red, antibody 4E12) monitored autophagy. Scale bar: 50 µm. c Quantification of LC3 dots per cell treated as displayed in panel b. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: **p < 0.01; ***p < 0.001; ****p < 0.0001. All error bars indicate SD. (n = 1; 100 cells were analyzed for each treatment; control vs. Cyclin Y/CDK16: t = 7.274, df = 11; control vs. Cyclin Y S324A/CDK16: t = 4.356, df = 8; Cyclin Y/CDK16 vs. Cyclin Y S100A/CDK16: t = 8.644, df = 13; Cyclin Y/CDK16 vs. Cyclin Y S326A/CDK16: t = 7.765, df = 13; Cyclin Y S100A/CDK16 vs. Cyclin Y S324A/CDK16: t = 5.214, df = 10; Cyclin Y S324A/CDK16 vs. Cyclin Y S326A/CDK16: t = 4.734, df = 10). d HeLa cells were transfected with GFP-CDK16 and Cyclin Y-Flag-wt or the S326A mutant and siRNA against AMPK-α1/2 or control. The interaction of CDK16 and Cyclin Y was analyzed in GFP-specific immunoprecipitations. Proteins were analyzed by immunoblotting as specified. (n = 2). e Representative confocal images of the HeLa cells from panel d. GFP-CDK16 identified the transfected cells and staining for endogenous LC3 (red, antibody 4E12) measured autophagy. Scale bar: 50 µm. f Quantification of the LC3 dots shown in panel e. Statistical significance was measured via unpaired and two-tailed Student’s t-tests and is presented as follows: ****p < 0.0001. All error bars indicate SD. (n = 1; 250 cells were analyzed for each treatment; siControl vs. siControl Cyclin Y/CDK16: t = 8.113, df = 8; siControl Cyclin Y/CDK16 vs. siAMPK-α1/2 Cyclin Y/CDK16: t = 8.290, df = 8). n biological independent replicate. SD standard deviation. Source data are provided as a Source Data file. To understand whether the activity of AMPK is necessary for the Cyclin Y/CDK16-mediated induction of autophagy, we suppressed AMPK activity by knockdown of the α1 and α2 subunits or by treating cells with the AMPK inhibitor Compound C. Under both conditions Cyclin Y/CDK16-dependent autophagy was impaired (Fig. 7d–f and Supplementary Fig. 7c, d). Thus, AMPK is required for phosphorylation of S326 to promote Cyclin Y/CDK16 interaction, activation of CDK16 catalytic activity and autophagy.

Discussion

We identified Cyclin Y/CDK16 as AMPK substrate and as autophagy effector. Cyclin Y is phosphorylated at S326 by AMPK in vitro and in cells, which promotes interaction with its kinase partner CDK16 by recruitment of 14-3-3 proteins leading to activation of the catalytic activity of this complex. The functional analysis revealed that Cyclin Y/CDK16 induces autophagy, dependent on S326 phosphorylation and requires ULK1 and Beclin1, which are both necessary for the induction of macroautophagy[32]. In the absence of functional Cyclin Y/CDK16, the induction of autophagy by AMPK activating stimuli was hampered, indicating that this kinase is an important signaling component downstream of AMPK. Together, our findings provide evidence for active Cyclin Y/CDK16 being a AMPK effector in autophagy (Fig. 8).
Fig. 8

Model of the AMPK-dependent activation of Cyclin Y/CDK16 for the induction of autophagy.

AMPK is activated under energy stress situations (- amino acids; - glucose) or by allosteric activators (AICAR/A769) and phosphorylates Cyclin Y at S326. This phosphorylation allows the interaction of Cyclin Y with CDK16 and stimulates the kinase activity of CDK16, as illustrated by the phosphorylation of Cyclin Y at S336. The CDK16 activity downstream of AMPK is required for the efficient induction of autophagy.

Model of the AMPK-dependent activation of Cyclin Y/CDK16 for the induction of autophagy.

AMPK is activated under energy stress situations (- amino acids; - glucose) or by allosteric activators (AICAR/A769) and phosphorylates Cyclin Y at S326. This phosphorylation allows the interaction of Cyclin Y with CDK16 and stimulates the kinase activity of CDK16, as illustrated by the phosphorylation of Cyclin Y at S336. The CDK16 activity downstream of AMPK is required for the efficient induction of autophagy. We performed kinase assays on protein microarrays to extend the understanding of the cellular functions of AMPK. Our screen revealed 63 potential AMPK substrates (Fig. 1 and Supplementary Data 1). In comparison to previously published studies[34-36], the use of protein microarrays allows substrate identification independently of cell type-specific protein expression and of antibodies recognizing a phosphorylated AMPK consensus sequence. However, coverage of the proteome is limited to proteins available on the microarray. Furthermore, the in vitro identified substrates require verification in cells. This is critical and is illustrated by our findings regarding CDK16 phosphorylation as all the in vitro AMPK sites on CDK16 could not be confirmed as AMPK targets in cells. Thus, substoichiometric phosphorylation of several sites within one target protein may result in false positives. In contrast, the single site at S326 identified on Cyclin Y was confirmed in cells and the extent of phosphorylation paralleled AMPK activity (Figs. 1 and 2). Both CDK16 and CDK14 were reported to interact with Cyclin Y[14,31]. We found that CDK15 also uses Cyclin Y as regulatory subunit (Fig. 4d). Since Cyclin Y is required for AMPK-stimulated autophagy (Fig. 6), we addressed the functionality of all three complexes. However, neither Cyclin Y/CDK14 nor Cyclin Y/CDK15 induced autophagy (Fig. 4d–f). Likely, this is because the three complexes possess unique substrate specificities[13]. Little is known regarding Cyclin Y/CDK14 and Cyclin Y/CDK15 substrates. Cyclin Y/CDK14 participates in the activation of the Wnt signaling pathway particularly in the G2/M-phase, consistent with differential expression pattern of CDK14 during the cell cycle, while CDK16 is present throughout the cell cycle[30,37]. Interestingly, the interaction of CDK14 with Cyclin Y has also been proposed to depend on S326 phosphorylation[38]. For CDK15 no functional data are available. Together, the available evidence supports the hypothesis that substrate specificity is different of these three Cyclin Y kinase complexes. Autophagy is one of the processes that AMPK stimulates under starvation conditions to provide essential building blocks to the cell[39]. AMPK phosphorylates and controls important upstream regulators of the autophagic cascade, including the ULK1 and the VPS34-dependent PI3K complexes that govern initial steps in the formation of phagophores giving rise to autophagosomes[9-11]. However, the molecular mechanisms of autophagy regulation are not fully resolved and may not be linear[40]. With Cyclin Y/CDK16 we have identified an additional effector of AMPK. A potential link to autophagy is further suggested by the function of CDK16 in vesicular transport[25] and in actin cytoskeleton organization[41-43], as both these processes are relevant for autophagy[44-46]. For example, the ER-Golgi intermediate compartment has been suggested as a membrane source for autophagosome biogenesis, a process that is upstream and independent of ULK1 and PI3K complexes[47]. Our data suggest that AMPK activates Cyclin Y/CDK16 to initiate an early step in the formation of autophagosomes. These findings are consistent with the published observations and it will now be interesting to identify and define the functions of Cyclin Y/CDK16 substrates. With the association of autophagy with disease processes, it is notable that the CCNY locus, encoding Cyclin Y, has been associated with inflammatory bowel disease (IBD)[48-50]. This is interesting in light of the observation that defective autophagy is strongly linked to IBD pathogenesis[51]. The phenotype of Cdk16−/− and Cyclin Y-like−/− mice during spermatogenesis also points to a function in autophagy. Cyclin-Y-like is the homologue of Cyclin Y predominantly expressed in testis and mutants of Cyclin Y-like show sperm maturation defects similar to Cdk16. Spermatozoa of both mutants display thinning of the annulus region, malformed heads and excess residual cytoplasm, which leads to an impaired motility[14,52,53]. Similar phenotypes were observed in Sertoli cell specific Atg5−/− and germ cell specific Atg7−/− mice[54-56]. A reason for these differentiation defects seems to be a failure to reorganize the cytoskeleton during the final differentiation step of the spermatozoa[55,56]. For CDK16 several studies described a significant upregulation of this kinase in different tumor entities compared to adjacent normal tissue. The elevated expression of CDK16 correlates positively with the tumor aggressiveness and is required for tumor cell proliferation[57-61]. In light of these recent findings, our data suggest that CDK16 promotes tumor growth by enhancing tumor-supportive autophagy[62]. Collectively, CDK16 emerges as a potential drug target.

Methods

Material

Material used are listed in Supplementary Table 3.

Contact for reagent and resource sharing

Further information and requests for resources and reagents should be directed to and will be fulfilled by Jörg Vervoorts (jvervoorts-weber@ukaachen.de).

Experimental model and subject details

A detailed step-by-step protocol how we stimulate AMPK in cells and measure autophagy is available in Methods in Molecular Biology[63].

Cell lines and cell culture

HeLa (ATCC, CCL-2), U2OS (ATCC, HTB-96), COS7 (ATCC, CRL-1651), NIH3T3 (ATCC, CRL-1658), Cdk16−/−, and Cdk16+/+ MEFs (provided by Stephan Geley[14]) were cultured in Dulbecco’s modified Eagle Medium (DMEM) (Gibco, Thermo Fisher Scientific) containing 10% heat-inactivated fetal calf serum (FCS) (Gibco, Thermo Fisher Scientific) and 1% Penicillin/Streptomycin (Gibco, Thermo Fisher Scientific). NIH3T3 cells stably expressing mCherry-GFP-LC3 were generated by viral infection of pBABE-puro-mCherry-EGFP-LC3B[64],[65] and cultivated in medium supplemented with 3 µg/ml Puromycin (Sigma-Aldrich). Cdk16−/− and Cdk16+/+ MEFs were immortalized by viral infection with the pRetro-Super-blasti-shRNA-p19ARF construct, which prevents activation of p53 by promoting Mdm2 activity[66].The immortalized MEFs were grown in medium containing 20 µg/ml Blasticidin (InvivoGen). Immortalized Cdk16−/− MEFs stably expressing GFP-WIPI1 were generated by retroviral infection of pMXs-IP GFP-WIPI-1[67]. Reconstitution of immortalized Cdk16−/− MEFs with human CDK16 wild-type was performed by retroviral infection of pBABE-puro hCDK16-wt. Reconstitution of immortalized Cdk16−/− MEFs with GFP-CDK16-wt or the kinase-deficient GFP-CDK16-K194R/D304N mutant were performed by lentiviral infection with the Doxycycline-inducible pLIX403-GFP-CDK16-wt or pLIX403-GFP-CDK16-K194R/D304 constructs. In order to obtain a comparable expression to the CDK16+/+ MEFs the expression of GFP-CDK16-wt and GFP-CDK16-K194R/D304N were induced 16 h before treating the cells with EBSS by 200 ng Doxycycline/ml and 100 ng Doxycycline/ml respectively. All viral infected cells were cultured in full medium supplemented with 2 µg/ml Puromycin and 20 µg/ml Blasticidin. All cells were maintained at 37 °C in a humidified incubator in an atmosphere of 5% CO2 and passaged with trypsin every 1–3 days when the cells reached 80% confluency. Sf9 insect cells (ATCC, CRL-1711) were cultured in Grace’s Medium (Gibco, Thermo Fisher Scientific) supplemented with 10% heat-inactivated FCS and 20 µg/ml Gentamycin (Merck Millipore) at 27 °C. Cells were regularly tested for contamination with Mycoplasma using a PCR-based detection analysis and discarded if tested positive. The HeLa, NIH3T3 and U2OS cells have been authenticated by PCR-single-locus-technology using the PowerPlex 21 PCR kit (Promega) carried out by Eurofins Medigenomix Forensik GmbH (Certificates are available upon request).

Stimulation of cell lines

To induce autophagy, the medium of the cells was replaced by Earle’s balanced salt solution (EBSS) (Gibco, Thermo Fisher Scientific) for 2 h or by DMEM without glucose (Gibco, Thermo Fisher Scientific) with heat-inactivated 10% FCS (Gibco, Thermo Fisher Scientific) for 16 h. To investigate the induction of autophagy in viral infected cells antibiotics for selection were omitted one week before the experiment. Where indicated, cells were treated with the following compounds: 2 mM 3-Methyladenine (3-MA; Merck Millipore), 50 µM A-769662 (A769; InvivoGen), 0.5 mM AICAR (Tocris Bioscience), 1 µM Ionomycin (Sigma-Aldrich), 200 nM Bafilomycin A1 (Baf. A1; Enzo Life Sciences), 40 µM Compound C (Merck Millipore), 10 µg/ml E64-d (Enzo Life Sciences), 10 µg/ml Pepstatin A (AppliChem).

Transient transfections of cell lines

Transfections of HeLa or U2OS cells with plasmids or mixtures of plasmids and siRNA were performed by the calcium phosphate (CaPO4) method. Briefly, HeLa or U2OS cells were seeded at a density of 1 × 106 cells per 10 cm culture dish. On the following day, a total of 20 µg plasmid DNA (optional: plus 50 nM siRNA oligos) was diluted with 950 µl 1 × HBS buffer (21 mM HEPES (pH 6.95), 137 mM NaCl, 5 mM KCl, 0.71 mM Na2HPO) and mixed by vortexing. The Cyclin Y and CDKs expressing constructs were transfected each with 4 µg plasmids DNA and filled up to 20 µg with empty plasmid. Afterwards 50 µl of 2.5 M CaCl2 were added to the solution dropwise under constant shaking and subsequently mixed by vortexing. This mixture was incubated at room temperature for 30 min to allow the formation of CaPO4-DNA precipitates. Thereupon the transfection solution was added to the cell culture dish dropwise under gentle rocking. The cells were incubated at 37 °C for 16–24 h, afterwards washed gently with pre-warmed HEPES (10 mM HEPES (pH 7.3), 142 mM NaCl, 6.7 mM KCl) and incubated at room temperature for 10 min prior to addition of fresh medium. When only protein-expressing plasmids were used, cells were harvested 48 h after the beginning of transfection. Experiments with RNAi were harvested 72 h after transfection. NIH3T3 cells were transfected with plasmids by Lipofectamine 2000. Briefly, NIH3T3 cells were seeded at a density of 4 × 105 cells per 6 cm culture dish. On the following day, a total of 8 µg plasmid DNA was diluted with 250 µl OptiMEM and mixed gently. For each transfection sample 9 µl Lipofectamine 2000 (ThermoFisher) were diluted with 250 µl OptiMEM separately. After 5 min incubation, the diluted DNA was combined with the diluted Lipofectamine 2000, mixed gently and incubated for 20 min at room temperature. Afterwards the transfection mix was added to the cell culture dish dropwise under gentle rocking. The cells were incubated at 37 °C and fresh medium was changed after 24 h, in total cells were harvested 48 h after transfection. For the RNAi experiments with NIH3T3, cells were transfected with the indicated siRNA oligo pools listed in the Supplementary Table 3 using HiPerFect (Qiagen). Therefore cells were seeded onto 6-well culture dishes at a density of 5 × 105 cells per well. After 1 h, 5 µl of a 20 μM dilution of the according siRNA were mixed with 400 µl OptiMEM and 15 µl HiPerFect transfection reagent. After incubation at room temperature for 10 min the transfection mixture was added dropwise to the cells under gentle rocking leading to a final siRNA concentration of 50 nM in the culture medium. Afterwards the cells were incubated under usual conditions for 72–96 h to allow the siRNA-mediated knockdown of proteins. For transfections the cells were seeded without antibiotics. In smaller culture dishes the number of cells was scaled down according to the growth area of the culture dishes while the volumes of the buffers and solutions were adjusted in relation to the volume of culture medium.

Viral infection of MEFs

Retroviruses were generated using the pVPack system from Agilent Technologies consisting of the pVPack-GP and pVPack-Eco vectors together with pBABE-puro, pBABE-puro-hCDK16-wt, or pMXs-IP-GFP-WIPI1. Lentiviruses were generated using pMDLg/pRRE, pRSV-REV, and pCMV-VSV-G vectors together with pLIX403-GFP-CDK16-wt or pLIX403-GFP-CDK16-K194R/D304N. COS7 cells were transiently transfected via the calcium phosphate method with the viral constructs together with the envelope expressing vector and the gag-pol element expression vector for 6 h, afterwards the medium was changed to DMEM containing 10% FCS. After 24 h the virus-containing supernatant of these cultures was collected and filtered through a 0.45 µm PVDF filter (Merck Millipore). MEFs cells were incubated with the filtered supernatant supplemented with 4 µg/ml Polybrene (Sigma-Aldrich) overnight. The next day the MEFs cells were replated in fresh medium and a second round of infection with fresh supernatant was performed after 24 h to maximize the rate of infection. The Puromycin selection (2 µg/ml, Sigma-Aldrich) started 48 h after the last infection and was continued for 2 weeks to generate stable cell pools.

Cloning and mutagenesis

A cDNA clone for CCNYiso1 was purchased from Source BioScience (clone ID: IRAKp961O14141Q) and separatly cloned into pGEX-4T1, pVL1392, and pcDNA3-FLAG using restriction digestion. CCNY and CDK16 mutation constructs were generated with QuikChange II Site-Directed Mutagenesis Kit II (Agilent Technologies), the used oligonucleotides are listed in the Supplementary Table 3. The cDNA for CDK14 (clone ID: IRCBp5005L0611Q) and CDK15 (clone ID: IRATp970G0369D) were purchased from Source BioScience and subcloned into pEGFP-C3.

GST-tagged protein expression and purification

Purifications of GST-tagged proteins were generally performed using the E.coli BL21 strain. After transformation of the construct of interest several colonies was picked to inoculate a starter culture in 50 ml LB medium supplemented with the appropriate antibiotic and 0.5% glucose. This culture was allowed to grow overnight at 37 °C and horizontal shaking at 160 rpm and the next day 500 ml LB medium (with antibiotic and glucose) were inoculated with 25 ml of the starter culture. When the OD600 reached the range between 0.5–0.7, protein expression was induced by the addition of IPTG to a final concentration of 0.5 mM and the culture was incubated for another 4 h at 37 °C. Bacteria were harvested by centrifugation (4500 × g, 4 °C, 10 min) and resuspended in 30 ml ice-cold TNE buffer (20 mM Tris base (pH 8.0), 150 mM NaCl, 1 mM EDTA (pH 8.0), 5 mM DTT, 1 mM Pefabloc, 14 µg/ml Aprotinin). After lysis on ice for 30 min with 100 µg/ml lysozyme, proteins were solubilized by sonication and lysates were cleared by centrifugation at 10,000 × g at 4 °C for 30 min. For purification the lysates were incubated with equilibrated glutathione beads (Glutathione Sepharose 4B, Sigma-Aldrich) for 1 h at 4 °C on a rotation device. Afterwards, beads were pelleted by centrifugation with 500 × g at 4 °C for 2 min, washed three times with 10 ml ice-cold PBS and transferred to a chromatography column (Poly-Prep, BioRad). Columns were washed once more with 1 ml GST wash buffer (100 mM Tris base (pH 8.0), 120 mM NaCl) and GST-proteins were eluted in three fractions using 300 µl GST elution buffer (20 mM glutathione in GST wash buffer) each.

His6-tagged protein expression and purification

His6-tagged proteins were expressed by a Baculovirus expression system in Sf9 insect cells. The virus production and transfection of the insect cells were carried out with the BaculoGold system (BD Biosciences) according to the manufacturer’s guidelines and the following adaptions. 1 × 106 cells were seeded in 10 ml complete medium in a T75 flask and transfected with TransIT-LT1 transfection reagent (Mirus) after the cells had settled on the bottom. Therefore 200 µl medium were mixed with 10 µl LT1 and 2 µg pLV1392-CCNYiso1-His6 plasmid were mixed with 0.1 µg BaculoGold DNA. Both mixtures were incubated at room temperature for 10 min, afterwards mixed together and incubated for another 5 min. Before the transfection mixture was added dropwise to the cells, the present medium was changed to FCS-free medium. The cells were incubated for 4 h, then washed with FCS-free medium and finally 5 ml complete medium was added. After 7–10 days the supernatant was filtered through a 0.22 µm PVDF filter (Merck Millipore) and added to freshly seeded cells. To check for protein expression of this first amplification round the remaining cells were used. For the final purification approach 2 × 107 cells were seeded in 30 ml complete medium in T175 flasks. Each flask was infected with 1 ml filtered, virus-containing supernatant, including approximately 1 × 108 plaque forming units. After infection cells were pelleted by centrifugation and resuspended in 10 ml IMAC lysis/wash buffer (20 mM HEPES (pH 7.5), 300 mM NaCl, 10% glycerol, 0.1% NP-40, 5 mM Imidazole, 2 mM β-mercaptoethanol, 1 mM Pefabloc, 1 µg/ml Pepstatin A, 14 µg/ml Aprotinin). The lysate was sonicated and debris were pelleted by centrifugation at 10,000 × g at 4 °C for 30 min. The supernatant was incubated with equilibrated TALON Metal Affinity Resin (Clontech) for 1 h at 4 °C under permanent rotation. Beads were pelleted by centrifugation (500 × g, 4 °C, 2 min), washed thoroughly three times with 5 ml IMAC buffer and finally bound proteins were eluted in 500 µl IMAC elution buffer (20 mM HEPES (pH 7.5), 200 mM NaCl, 10% glycerol, 0.1% NP-40, 10 mM EDTA, 14 µg/ml Aprotinin) by overnight incubation at 4 °C.

Generation of antibodies

Phosphosite-specific rabbit or sheep polyclonal antibodies targeting human CDK16 were generated with the help of phospho-peptides by YenZym Antibodies, MRC-PPU Reagents Services team at the University of Dundee or Eurogentec, and affinity purified against the indicated antigens. YenZym Antibodies generated the rabbit antibodies targeting human CDK16 phospho-S65 (residues 58-SARGPLS-pS-APEIVH-71), phospho-S153 (residues 147-RRLRRV-pS-LSEIGFG-160), and phospho-S155 (residues 149-LRRVSL-pS-EIGFGKL-161). At the University of Dundee the sheep CDK16 phospho-S12 antibody (residues 8-KRQS-pS-MTLRGG-18) and the rabbit phospho-S119 antibody (residues 114-INKRL-pS-LPADI-124) were generated. The rabbit phospho-S461 antibody (residues 453-IHKLPDTT-pS-IFA-464) was generated by Eurogentec.

Western blotting

Cells were harvested after stimulation or transfection and then lysed in 400 µl Frackelton buffer for 10 cm dishes (10 mM HEPES (pH 7.5), 50 mM NaCl, 30 mM NaF, 30 mM Na-pyrophosphate, 0.1 mM ZnCl2, 0.2% Triton X-100, 10% glycerol, protease-inhibitor cocktail (AppliChem)); when phospho-proteins were analyzed additional phosphatase-inhibitors (20 mM beta-glycerophosphate, 1 mM Na3VO4, 50 nM ocadaic acid) were added. Lysates were cleared by centrifugation (15,700 × g, 4 °C, 30 min), protein concentration determined by Lowry Assay (Bio-Rad DC Proteinassay Kit II) and equal amounts of protein were separated by 7.5–15% SDS polyacrylamide gel electrophoresis (SDS-PAGE) followed by transfer onto a nitrocellulose membrane. After incubation with primary and secondary antibodies (listed in Table 1) the proteins of interest were visualized by enhanced chemiluminescence in a LAS-3000 Imager (Fujifilm). Uncropped and unprocessed images of the detected immunoblots are supplied in the Supplementary Source data file and from figshare with the identifier 10.6084/m9.figshare.7077302[68]. Densitometry was performed with ImageJ software.
Table 1

Antibodies used for western blots.

AntibodiesUsed dilutionVendor
rabbit polyclonal anti-pan-14-3-3 (K-19)1:1000Santa Cruz, sc-629; RRID: AB_2273154
rabbit monoclonal anti-ACC (C83B10)1:1000CST, 3676; RRID: AB_2219397
rabbit monoclonal anti-phospho-ACC (Ser79) (D7D11)1:1000CST, 11818; RRID: AB_2687505
mouse monoclonal anti-actin (C4)1:200MP Biomedicals 0869100; RRID: AB_2335304
rabbit monoclonal anti-AMPK-α (D5A2)1:1000CST, 5831; RRID: AB_10622186
rabbit monoclonal anti-phospho-AMPK-α (Thr172) (40H9)1:1000CST, 2535; RRID: AB_331250
rabbit monoclonal anti-AMPK-β1/2 (57C12)1:1000CST 4150; RRID: AB_560860
rabbit polyclonal anti-CDK16 (PCTAIRE-1) (C-16)1:1000Santa Cruz sc-174; RRID: AB_2158996
rabbit polyclonal anti-CDK16 (PCTAIRE-1)1:1000Sigma-Aldrich, HPA001366; RRID: AB_1079584
sheep polyclonal anti-phospho-CDK16 (Ser12)0,1 µg/mlThis paper (MRC-PPU, University Dundee)
rabbit polyclonal anti-phospho-CDK16 (Ser65)0,1 µg/mlThis paper (YenZym)
rabbit polyclonal anti-phospho-CDK16 (Ser119)0,1 µg/mlThis paper (MRC-PPU, University Dundee)
rabbit polyclonal anti-phospho-CDK16 (Ser153)0,1 µg/mlThis paper (YenZym)
rabbit polyclonal anti-phospho-CDK16 (Ser155)0,1 µg/mlThis paper (YenZym)
rabbit polyclonal anti-phospho-CDK16 (Ser461)0,1 µg/mlThis paper (YenZym)
rabbit polyclonal anti-Cyclin Y1:1000Bethyl, A302-376A; RRID: AB_1907259
mouse monoclonal anti-Cyclin Y (2C9E3)1:2000Proteintech, 66865-1-Ig
rabbit polyclonal anti-phospho-Cyclin Y (Ser326)0,25 µg/mlShehata et al., 2015[15]
rabbit polyclonal anti-phospho-Cyclin Y (Ser336)0,25 µg/mlShehata et al., 2015[15]
rabbit polyclonal anti-DYKDDDDK tag1:1000CST 2368; RRID: AB_2217020
mouse monoclonal anti-FLAG (M2)1:5000Sigma-Aldrich, F3165; RRID: AB_259529
mouse monoclonal anti-GAPDH (4G5)1:500Bio-Rad, MCA4740; RRID: AB_2107457
mouse monoclonal anti-GFP (9F9.F9)1:2000Rockland, 600-301-215; RRID: AB_218216
mouse monoclonal anti-HA1:1000Covance, MMS-101R; RRID: AB_10064220
rabbit polyclonal anti-LC3B1:1000CST, 2775; RRID: AB_915950
guinea pig polyclonal anti-p62/SQSTM11:1000Progen, GP62-C; RRID: AB_1542690
mouse monoclonal anti-α-tubulin (B-5-1-2)1:5000Sigma-Aldrich, T5168; RRID: AB_477579
goat polyclonal anti-guinea pig IgG (H + L) HRP-conjugated1:10,000Santa Cruz, sc-2438; RRID: AB_650492
AffiniPure rat polyclonal anti-mouse IgG (H + L) HRP-conjugated1:10,000Jackson ImmunoResearch, 415-035-166; RRID: AB_2340269
AffiniPure goat polyclonal anti-rabbit IgG (H + L) HRP-conjugated1:10,000Jackson ImmunoResearch, 111-035-144; RRID: AB_2307391
rabbit monoclonal anti-ULK1 (D8H5)1:1000CST, 8054; RRID: AB_11178668
rabbit monoclonal anti-phospho-ULK1 (S757) (D7O6U)1:1000CST, 14202; RRID: AB_2665508
rabbit monoclonal anti-Beclin1 (D40C5)1:1000CST, 3495; RRID: AB_1903911
rabbit monoclonal anti-Raptor (24C12)1:1000CST, 2250; RRID: AB_561245
rabbit polyclonal anti-phospho-Raptor (S792) (24C12)1:1000CST, 2083; RRID: AB_2249475
Antibodies used for western blots. For the detection of protein phosphorylation by phospho-specific antibodies lysates were loaded twice on two separate gels with equal protein amounts. The nitrocellulose blot of one gel was used to detect the total amount of the protein of interest with a pan antibody, the other blot was used to detect the specific phosphorylation of the protein of interest.

(Co-) Immunoprecipitation (IP)

For co-immunoprecipitation assays cells were transfected with the indicated constructs and lysates prepared as described above. An aliquot of the lysate was used for expression control (whole cell lysate = WCL). For each immunoprecipitation 10 µl equilibrated Flag-beads (anti-FLAG M2 Affinity Gel, Sigma-Aldrich) were incubated with the rest of the lysates under rotation for 2 h at 4 °C. Afterwards the Flag-beads were washed three times with 1 ml Frackelton buffer and co-precipitated proteins were analyzed by western blotting. GFP fusion proteins were immunoprecipitated according to the same procedure, using 15 µl of protein G Sepharose slurry (GE Healthcare) with 1 µg anti-GFP antibody (Rockland, 300-301-215) added to the lysates. The immunoprecipitation of endogenous Cyclin Y was carried out with 20 µl of protein A Sepharose slurry (GE Healthcare) and 2 µg anti-Cyclin Y antibody (Bethyl, A302-276A) using the same buffer and protocol. Where indicated, species matched IgG was used as a control IP.

Immunofluorescence

Cells were grown on 18 mm round coverslips to about 80% confluence. After the respective treatment cells were fixed with 3.7% paraformaldehyde for 20 min at room temperature and permeabilized with 40 µg/ml Digitonin (Sigma-Aldrich) in PBS for 15 min. Afterwards cells were blocked with 3% goat serum (Sigma-Aldrich) in PBS for 30 min, followed by incubation with the indicated primary antibodies (listed in Table 2) diluted in PBS containing 1% goat serum at 37 °C for 1 h. After three washing steps with 1% goat serum in PBS, cells were incubated with the corresponding secondary antibodies conjugated to Alexa Fluor dyes (listed in Table 2) at 37 °C for 1 h. Samples were then washed with PBS and water and counterstained with Hoechst 33258 (1 µg/ml in H2O, Sigma-Aldrich), followed by the final mounting with Mowiol 4–88 (Sigma-Aldrich). Immunofluorescent images were obtained using a Zeiss LSM 710 laser-scanning microscope operated by ZEN 2009 LE software.
Table 2

Antibodies used for immunofluorescence staining.

AntibodiesUsed dilutionVendor
rabbit monoclonal anti-AMPK-β1/2 (57C12)1:50CST 4150; RRID: AB_560860
mouse monoclonal anti-Cyclin Y (2C9E3)1:50Proteintech, 66865-1-Ig
mouse monoclonal anti-HA1:200Covance, MMS-101R; RRID: AB_10064220
mouse monoclonal anti-LC3 (4E12)1:50MBL, M152-3; RRID: AB_1279144
goat polyclonal anti-mouse IgG (H + L) Alexa Fluor 4881:1000Thermo Fisher Scientific, A-11001; RRID: AB_2534069
goat polyclonal anti-mouse IgG (H + L) Alexa Fluor 5551:1000Thermo Fisher Scientific, A-21422; RRID: AB_2535844
goat polyclonal anti-mouse IgG (H + L) Alexa Fluor 6331:1000Thermo Fisher Scientific, A-21050; RRID: AB_2535718
mouse monoclonal anti-WIPI2 (2A2)1:500Bio-Rad, MCA5780GA; RRID: AB_10845951
Antibodies used for immunofluorescence staining.

Proximity ligation assay (PLA)

U2OS cells were grown on 12 mm round coverslips to about 80% confluence. After the respective treatment cells were fixed with 3.7% paraformaldehyde for 20 min at room temperature and permeabilized with 0.1% Triton-X100 in PBS for 15 min at room temerature. Afterwards cells were blocked with Duolink Blocking solution for 60 min at 37 °C, followed by incubation with the rabbit anti-AMPK-β1/2 antibody (57C12, 1:50) and the mouse anti-Cyclin Y antibody (2C9E3, 1:50) diluted in Duolink Antibody diluant 37 °C for 1 h and two washing steps with TBS plus 0.05% Tween-20. The subsequent incubations with the PLA Plus and Minus probes, ligase and polymerase were performed according to the manufacturer’s instructions. The washing steps in between were performed with TBS plus 0.05% Tween-20. Samples were then washed with water and counterstained with Hoechst 33258 (1 µg/ml in H2O, Sigma-Aldrich), followed by the final mounting with Mowiol 4–88 (Sigma-Aldrich). Immunofluorescent images were obtained using a Zeiss Axioplan 2 microscope with a Plan Neofluar 40×/0.75 objective. Hoechst 33258 staining was detected with the Zeiss filter set 49 and FarRed PLA dots were detected by the Omega Optical filter set XF110-2 with a excitation filter 630/50 and emission filter 695/55. Images were taken with a CoolSnap HQ[2] camera from Photometrics, operated by the VisiView software from Visitron Systems.

Settings for immunofluorescence microscopy

Immunofluorescence images were captured by a Zeiss LSM 710 laser-scanning microscope using a C-Apochromat 40x or 63x water immersion objective. For each picture the bit depth was 8 bit at a resolution of 1024 × 1024 pixels and the pinhole was set to 1 airy unit (AU). For single cell pictures a 2.0 digital zoom was applied. The excitation of the EGFP and Alexa Fluor 488 fluorochrome (emission maximum: 507/525 nm) was mediated at a wavelength of 488 nm by an argon laser using a 488 nm single channel PTM and a bandpass filter of 495–550 nm. The fluorochromes mCherry and Alexa Fluor 555 (emission maximum: 610/580 nm) were excited at a wavelength of 561 nm by a helium-neon-laser and detected using a 562–630 nm bandpass filter. The excitation of the Alexa Fluor 633 fluorochrome (emission maximum: 639 nm) was mediated at a wavelength of 633 nm by a helium-neon-laser and detected using a bandpass filter of 635–690 nm. The nuclei staining by Hoechst (emission maximum: 455 nm) was excited by UV-Laser at a wavelength of 352 nm and detected using a 454–553 nm bandpass filter. The detection of endogenes Wipi2b dots in the CDK16+/+ and CDK16−/− MEFs was performed with the following settings. Alexa Fuor 488 was excited by an argon laser at 488 nm and fluorescence detected in a range of 493–630 nm. Hoechst 33259 was excited at 405 nm and fluorescence detected in a range of 410–503 nm. PLA dots were automatically counted as the LC3 dots, by ImageJ details are described in the image analysis chapter.

Kinase assays

Kinase assay with recombinant proteins: To assess AMPK kinase activity in vitro kinase assays were performed in AMPK kinase reaction buffer (10 mM HEPES (pH 7.2), 5 mM MgCl2, 1 mM DTT, 200 µM ATP, 40 µM AMP), including 1 µCi of [γ-32P]-ATP (specific activity 3000 Ci/mmol, Hartmann Analytic) per kinase reaction. The reaction mixtures were prepared containing 1–10 ng recombinant AMPK-α1, β1, γ1 and 2 µg of substrate (recombinant GST-/His6-tagged proteins) and incubated at 37 °C for 20 min. The kinase reaction was stopped by addition of 4x sample buffer (320 mM Tris base (pH 6.8) 40% glycerol, 20% SDS, 0.5% bromophenol blue, 200 mM β-mercaptoethanol), the samples were boiled, separated by SDS-PAGE and gels were stained with Coomassie blue. The incorporated radioactive label and thus the phosphorylation was detected by exposure of the previously dried gels to radiosensitive films (FujiFilm SuperRX). Alternatively, samples were analyzed by Western blot using a phospho-specific antibody (anti-phospho-Cyclin Y pS326), in this case instead of using [γ-32P]-ATP equal amounts of cold ATP were used in these reaction mixtures. Kinase assay with immunoprecipitated CDK16: HeLa cells were transiently transfected with plasmids encoding GFP-CDK16 and Cyclin Y-Flag and stimulated as indicated. Prior to cell lysis, cells were washed with ice-cold PBS containing 100 µM Na3VO4 and 10 mM NaF. Immunoprecipitation was carried out with 1 µg anti-GFP antibody (Rockland, 300-301-215) and 20 µl of protein G Sepharose slurry (GE Healthcare) at 4 °C for 2 h. Thereafter the beads were washed twice with Frackelton buffer and once with buffer C (50 mM Tris Base (pH 7.5), 15 mM MgCl2) to equilibrate beads to kinase assay conditions. For later visualization of the immunoprecipitation efficiency, half of the beads were kept for direct Western blot analysis. For the kinase reaction beads were incubated in a 30 µl reaction mixture containing CDK16 kinase reaction buffer (100 mM MOPS (pH7.2), 100 mM NaCl, 5 mM MgCl2, 5 mM MnCl2, 1 mM DTT, 20 µM ATP), 1 µCi of [γ32P]-ATP (specific activity 3000 Ci/mmol, Hartmann Analytic) and 1 µg MBP (Sigma-Aldrich) as a substrate, at 37 °C for 30 min. After stopping the reaction with sample buffer, the samples were analyzed by SDS-PAGE and the gels stained with Coomassie blue. The incorporated 32P-label was detected by exposure of the previously dried gels to radiosensitive films (FujiFilm SuperRX).

Protein microarray

For the purpose of identifying AMPK substrates, the ProtoArray Human Protein Microarray v5.0 (Invitrogen) was used in an in vitro approach, applying recombinant active AMPK complexes together with radiolabeled ATP to mark modified proteins. The assay was performed according to the manufacturer’s guidelines. Briefly, recombinant active His6-α1, β1, γ1 AMPK was prepared by co-expression with LKB1-MO25-STRADα in Rosetta(DE3) E. coli (Merck), lysed in lysis buffer (50 mM NaH2PO4, 30% glycerol, 0.5 M sucrose, 10 mM imidazole, pH 8.0), and protein was purified using nickel-Sepharose HP (GE Healthcare) by washing with the same buffer at 20 mM imidazole and eluting with 250 imidazole concentration[16]. Protein microarrays were first equilibrated at 4 °C for 15 min prior to blocking with 1% BSA in PBS for 1 h at 4 °C under continuous shaking. Immediately prior to use active AMPK was diluted in kinase buffer (20 mM HEPES (pH 7.4), 5 mM MgCl2, 0.1% NP-40, 1% BSA, 1 mM DTT) to a final concentration of 50 nM. The AMPK-containing reaction mixture and the kinase-free control (kinase buffer only) were supplemented with [γ-33P]-ATP (3000 Ci/mmol, Hartmann Analytic) to obtain radiolabeled ATP at 33 nM. The assay was started by overlaying the microarray surface with 120 µl of the reaction mixtures. Coverslips ensured even distribution of the solution. Arrays were transferred into a 50 ml reaction tube and incubated at 37 °C for 30 min. After washing twice with 0.5% SDS, two subsequent washing steps were performed with ultrapure water (15 min at room temperature without shaking for each washing step). The arrays were dried by centrifugation for 2 min at 200 × g, covered with a plastic wrap and exposed to Hyperfilm MP autoradiography films (GE Healthcare) for 3 h. After development the autoradiographs were scanned using a conventional flatbed scanner (Epson Perfection V700 Photo). The scanned autoradiographs were evaluated using the ProtoArray Prospector v5.2 software (Invitrogen). First the control and AMPK signals were separately quantified by densitometry applying default settings (i.e., background subtraction, signal scatter compensation, outlier detection, and ‘calculate Z-factor on per subarray’ were all enabled). Then the data were compared again using the ProtoArray Prospector v5.2 software. The results file was opened in Microsoft Excel, signal intensity differences were calculated (i.e., ΔI = ‘AMPK signal’ - ‘control signal’) and proteins were sorted according to their ΔI with highest ΔI on top. Additionally, intensity ratios (r) were calculated for each protein (i.e., r = ‘AMPK signal’/‘control-signal’). A cutoff value for ΔI > 10,000 was arbitrarily chosen in order to restrict the analysis to higher probability AMPK targets. Data quality was further assessed according to the manufacturers suggestions, i.e., Z-Factors greater than 0.4, Z-Scores above 3, and coefficients of variation (CVs) for signals from two replicates less than 0.5.

Mass spectrometry

In vitro kinase assays were performed with recombinant His6-Cyclin Y isoform 1 (Q8ND76-1) or GST-CDK16 isoform 1 (Q00536-1) and AMPK as described above. For analysis of CDK16 phosphorylation in cells, HeLa cells were transfected with vectors expressing GFP-CDK16-wt. Cells were treated with 0.5 mM AICAR/50 µM A769662 for 1 h and afterwards lysed as described before and GFP-CDK16 was immunoprecipitated with a GFP antibody. In both cases samples were then boiled in sample buffer and separated by SDS-PAGE. Cyclin Y and CDK16 bands were excised and subjected to digestion with Trypsin as described previously[69]. In brief, the gel pieces containing Cyclin Y and CDK16 were excised, destained, washed with 50 mM Ammoniumbicarbonate (ABC) followed by Acetonitrile (repeated once). After drying of the gel pieces, the proteins were reduced using 10 mM DTT for 45 min at 56 °C and subsequently alkylated using 55 mM Iodoacetamide (RT, in the dark, 30 min). The samples were then washed once more with 50 mM ABC and acetonitrile and dried in a SpeedVac. The proteins were digested overnight with 30 µl (12.5 ng/µl) of mass spectrometry grade Trypsin (Thermo Fisher Scientific). Subsequently, the resulting peptides were extracted from the gel pieces using 50% acetonitrile in 0.1% trifluoroacetic acid and desalted using homemade C18-Tips. Lyophilized peptides were resuspended in 10% formic acid and subjected to nano LC-MS/MS analysis using a nano Ultimate 3000 liquid chromatography system and an Orbitrap Elite or Q Exactive plus mass spectrometer (both Thermo Fisher Scientific). Trapping of the peptides was performed on a precolumn (Acclaim PepMap100, C18, 5 µm, 100 Å, 300 µm i.d. x 5 mm, Thermo Fisher Scientific) for 10 min with buffer A (0.1% formic acid). RSLCnano-Orbitrap Elite: The peptides were then separated on an analytical column (Acclaim PepMap100, C18, 5 µm, 100 Å, 75 µm i.d. × 25 cm) employing a 70 min gradient (0–10 min: 5% buffer B (80% acetonitrile, 0.1% formic acid), 10–45 min: 10–45% buffer B, 45–47 min: 45–99% buffer B; 47–53 min 99% buffer B; 53–70 min 5% buffer B) at 250 nl/min. RSLCnano-Q Exactive plus: the peptides were separated on an Easyspray C18 analytical column (Thermo Scientific) coupled to the Easyspray source (2 µm particle size, 75 µm inner diameter, 50 cm length, 40 °C column oven temperature, 2 kV; Thermo Scientific) using a 90 min gradient: 0–10 min: 5% buffer B (80% ACN/0.1% FA), 10–45 min: 5 to 35% B, 45–55 min: 35 to 50% B, 55–58 min: 50 to 90% B, 58–63 min: 90% B, 63–64 min 99 to 5% B, 64–90 min 5% B. The mass spectrometers were operated in data-dependent mode. Orbitrap Elite: Full-scan MS spectra were acquired in the Orbitrap (m/z 350–1500) at a resolution of 120,000 and an AGC of 1E6 ions. CID fragmentation in the ion trap was performed on the top 5 precursors of each full scan with collision energy of 35%. Q Exactive plus: resolution of 70,000, AGC of 3E6 ions, scan range 300–1750 m/z. dd-MS2 settings: resolution of 17,500, AGC target 2e5, top 10 precursor fragmentation, collision energy: 27. Raw data were analyzed by using MaxQuant v1.5.1.2 and searched against the human Uniprot database version 06/2015 (canonical and isoforms) using the Andromeda search engine with default mass tolerance settings[70]. Trypsin was set as the protease with two allowed missed cleavages. As the fixed modification Carbamidomethylation (Cys) was set; variable modification settings: Oxidation (Met), Phosphorylation (Ser, Thr, Tyr) and N-terminal protein acetylation. False discovery rates: 0.01 for peptides, proteins and modification sites; minimum peptide score for modified peptides: 40; minimum peptide length: seven amino acids. Further data analysis and reduction for the generation of Supplementary Table 2 was carried out using Perseus[71]. Experiments were performed twice and every sample was measured in duplicate. Intensities were calculated as the mean of all measurements. From these mean values, the ratios of the samples ± AMPK were calculated and normalized against the respective protein intensity ratios. To be taken into consideration for further analysis the following criteria for individual phospho-sites had to be fulfilled: (i) the phosphorylation site had to be identified in at least three out of four runs (either minus or plus); (ii) the minimum phosphosite localization probability (“Localization prob”) had to be 0.75 or higher; and (iii) a minimum of average intensity of 1 × 107 was required. Values for the average intensity were calculated from the “Phospho (STY)Sites.txt” file and “evidence.txt” files as indicated in Supplementary Table 2 from the intensity columns minus AMPK (e.g., “Intensity minus AMPK1”) or plus AMPK (e.g., “Intensity plus AMPK1”). AMPK1 and AMPK2 are technical replicates of the first biological experiment. AMPK3 and AMPK4 are technical replicates of the second biological experiment. The peptide coverage of our mass spectrometry analysis is summarized in the “peptide.txt” files deposited in PRIDE. The protein coverage was determined by comparing the covered peptides to the human Cyclin Y isoform 1 (Q8ND76-1) and human CDK16 isoform 1 sequence (Q00536-1). The in vitro mass spectrometry analysis of Cyclin Y and CDK16 cover 90 and 82% of the protein sequence, respectively. The in vivo mass spectrometry analysis of CDK16 covers 83% of the protein sequence. All analysis cover all potential AMPK sites present in Cyclin Y and CDK16 regarding to the consensus sequences depicted in Supplementary Table 1. The mass spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD009968.

Quantification and statistical analysis

Image analysis

Counting of the LC3 and PLA dots was performed with the ImageJ software 1.51 using the ‘Particle analysis function’. For each condition pictures were taken from random sections of the immunofluorescence coverslips and at least a minimum of 50 cells was analyzed per treatment. Analysis required an 8-bit binary image and a threshold was set to tell the LC3 or PLA dots apart from background staining. A manual threshold was set individually for each experimental setup but identical settings were applied to all pictures of the same experiment to ensure comparability. To analyze the threshold image the ‘Analyze particles’ algorithm was applied and the minimum size and maximal pixel area size was set from 0.1–1000. For each image the ratio of LC3 or PLA dots/cell were calculated taking the nuclei in the respective image section into account. Values were transferred into GraphPad Prism v6 software and data were presented as bar graphs showing mean values ± SD. Images of the PLA analysis were processed with ImageJ. To avoid monitoring the Hoechst staining in the FarRed channel the minimum setting of the brightness was set to 660 with ImageJ. For a better visualization of the FarRed signal it was converted to green.

Immunoblot quantification and densitometry

Band intensity quantification was performed using the ImageJ 1.51 Gel Analyzer Script. For quantification of the autophagy status the LC3-II band density was normalized to actin as loading control, all data points were normalized to the untreated control. Densitometry analysis of the Cyclin Y and CDK16 interaction was performed by calculating the ratio of the co-immunoprecipitated GFP-CDK16 to the total immunoprecipitated Cyclin Y-Flag.

Statistical analysis

Statistical parameters and tests are reported in the text and figure legends. If not stated otherwise, all bar graph data show mean values ± SD. Statistical analysis was performed using unpaired and two-tailed Student’s t-test in the GraphPad Prism v6 software. A p value of ≤ 0.05 was considered statistically significant. In figures, asterisks denote statistical significance as calculated by Student’s t-test: *p < 0.05; **p < 0.01; ***p < 0.001, and ****p < 0.0001. Please note that the number of experiments (n) given in the figure legends indicates experiments with identical design. Additional experiments, in part initial testing or measuring additional conditions or set ups, are not indicated, but add up to substantially more results that support the findings we report.
  62 in total

Review 1.  AMPK: a nutrient and energy sensor that maintains energy homeostasis.

Authors:  D Grahame Hardie; Fiona A Ross; Simon A Hawley
Journal:  Nat Rev Mol Cell Biol       Date:  2012-03-22       Impact factor: 94.444

Review 2.  AMPK--sensing energy while talking to other signaling pathways.

Authors:  D Grahame Hardie
Journal:  Cell Metab       Date:  2014-10-30       Impact factor: 27.287

3.  AMPK and mTOR regulate autophagy through direct phosphorylation of Ulk1.

Authors:  Joungmok Kim; Mondira Kundu; Benoit Viollet; Kun-Liang Guan
Journal:  Nat Cell Biol       Date:  2011-01-23       Impact factor: 28.824

4.  TSC2 mediates cellular energy response to control cell growth and survival.

Authors:  Ken Inoki; Tianqing Zhu; Kun-Liang Guan
Journal:  Cell       Date:  2003-11-26       Impact factor: 41.582

5.  Differential regulation of distinct Vps34 complexes by AMPK in nutrient stress and autophagy.

Authors:  Joungmok Kim; Young Chul Kim; Chong Fang; Ryan C Russell; Jeong Hee Kim; Weiliang Fan; Rong Liu; Qing Zhong; Kun-Liang Guan
Journal:  Cell       Date:  2013-01-17       Impact factor: 41.582

6.  AMPK phosphorylation of raptor mediates a metabolic checkpoint.

Authors:  Dana M Gwinn; David B Shackelford; Daniel F Egan; Maria M Mihaylova; Annabelle Mery; Debbie S Vasquez; Benjamin E Turk; Reuben J Shaw
Journal:  Mol Cell       Date:  2008-04-25       Impact factor: 17.970

Review 7.  AMPK in Health and Disease.

Authors:  Gregory R Steinberg; Bruce E Kemp
Journal:  Physiol Rev       Date:  2009-07       Impact factor: 37.312

Review 8.  Autophagy and the integrated stress response.

Authors:  Guido Kroemer; Guillermo Mariño; Beth Levine
Journal:  Mol Cell       Date:  2010-10-22       Impact factor: 17.970

9.  Phosphorylation of ULK1 (hATG1) by AMP-activated protein kinase connects energy sensing to mitophagy.

Authors:  Daniel F Egan; David B Shackelford; Maria M Mihaylova; Sara Gelino; Rebecca A Kohnz; William Mair; Debbie S Vasquez; Aashish Joshi; Dana M Gwinn; Rebecca Taylor; John M Asara; James Fitzpatrick; Andrew Dillin; Benoit Viollet; Mondira Kundu; Malene Hansen; Reuben J Shaw
Journal:  Science       Date:  2010-12-23       Impact factor: 47.728

Review 10.  LKB1-dependent signaling pathways.

Authors:  Dario R Alessi; Kei Sakamoto; Jose R Bayascas
Journal:  Annu Rev Biochem       Date:  2006       Impact factor: 23.643

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  7 in total

1.  New tricks of an old autophagy regulator: AMPK-dependent regulation of autophagy through CCNY (cyclin Y)-CDK16.

Authors:  Damián Gatica; Daniel J Klionsky
Journal:  Autophagy       Date:  2020-06       Impact factor: 16.016

2.  Follicular lymphoma-associated mutations in the V-ATPase chaperone VMA21 activate autophagy creating a targetable dependency.

Authors:  Fangyang Wang; Ying Yang; Gabriel Boudagh; Eeva-Liisa Eskelinen; Daniel J Klionsky; Sami N Malek
Journal:  Autophagy       Date:  2022-03-24       Impact factor: 13.391

Review 3.  The role of autophagy in cardiovascular pathology.

Authors:  Damián Gatica; Mario Chiong; Sergio Lavandero; Daniel J Klionsky
Journal:  Cardiovasc Res       Date:  2022-03-16       Impact factor: 10.787

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

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James DeGregori; Benjamin Dehay; Gabriel Del Rio; Joe R Delaney; Lea M D Delbridge; Elizabeth Delorme-Axford; M Victoria Delpino; Francesca Demarchi; Vilma Dembitz; Nicholas D Demers; Hongbin Deng; Zhiqiang Deng; Joern Dengjel; Paul Dent; Donna Denton; Melvin L DePamphilis; Channing J Der; Vojo Deretic; Albert Descoteaux; Laura Devis; Sushil Devkota; Olivier Devuyst; Grant Dewson; Mahendiran Dharmasivam; Rohan Dhiman; Diego di Bernardo; Manlio Di Cristina; Fabio Di Domenico; Pietro Di Fazio; Alessio Di Fonzo; Giovanni Di Guardo; Gianni M Di Guglielmo; Luca Di Leo; Chiara Di Malta; Alessia Di Nardo; Martina Di Rienzo; Federica Di Sano; George Diallinas; Jiajie Diao; Guillermo Diaz-Araya; Inés Díaz-Laviada; Jared M Dickinson; Marc Diederich; Mélanie Dieudé; Ivan Dikic; Shiping Ding; Wen-Xing Ding; Luciana Dini; Jelena Dinić; Miroslav Dinic; Albena T Dinkova-Kostova; Marc S Dionne; Jörg H W Distler; Abhinav Diwan; Ian M C Dixon; Mojgan Djavaheri-Mergny; Ina Dobrinski; Oxana Dobrovinskaya; 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Audrey Esclatine; Mafalda Escobar-Henriques; Eeva-Liisa Eskelinen; Lucile Espert; Makandjou-Ola Eusebio; Gemma Fabrias; Cinzia Fabrizi; Antonio Facchiano; Francesco Facchiano; Bengt Fadeel; Claudio Fader; Alex C Faesen; W Douglas Fairlie; Alberto Falcó; Bjorn H Falkenburger; Daping Fan; Jie Fan; Yanbo Fan; Evandro F Fang; Yanshan Fang; Yognqi Fang; Manolis Fanto; Tamar Farfel-Becker; Mathias Faure; Gholamreza Fazeli; Anthony O Fedele; Arthur M Feldman; Du Feng; Jiachun Feng; Lifeng Feng; Yibin Feng; Yuchen Feng; Wei Feng; Thais Fenz Araujo; Thomas A Ferguson; Álvaro F Fernández; Jose C Fernandez-Checa; Sonia Fernández-Veledo; Alisdair R Fernie; Anthony W Ferrante; Alessandra Ferraresi; Merari F Ferrari; Julio C B Ferreira; Susan Ferro-Novick; Antonio Figueras; Riccardo Filadi; Nicoletta Filigheddu; Eduardo Filippi-Chiela; Giuseppe Filomeni; Gian Maria Fimia; Vittorio Fineschi; Francesca Finetti; Steven Finkbeiner; Edward A Fisher; Paul B Fisher; Flavio Flamigni; Steven J Fliesler; Trude H Flo; Ida Florance; Oliver Florey; Tullio Florio; Erika Fodor; Carlo Follo; Edward A Fon; Antonella Forlino; Francesco Fornai; Paola Fortini; Anna Fracassi; Alessandro Fraldi; Brunella Franco; Rodrigo Franco; Flavia Franconi; Lisa B Frankel; Scott L Friedman; Leopold F Fröhlich; Gema Frühbeck; Jose M Fuentes; Yukio Fujiki; Naonobu Fujita; Yuuki Fujiwara; Mitsunori Fukuda; Simone Fulda; Luc Furic; Norihiko Furuya; Carmela Fusco; Michaela U Gack; Lidia Gaffke; Sehamuddin Galadari; Alessia Galasso; Maria F Galindo; Sachith Gallolu Kankanamalage; Lorenzo Galluzzi; Vincent Galy; Noor Gammoh; Boyi Gan; Ian G Ganley; Feng Gao; Hui Gao; Minghui Gao; Ping Gao; Shou-Jiang Gao; Wentao Gao; Xiaobo Gao; Ana Garcera; Maria Noé Garcia; Verónica E Garcia; Francisco García-Del Portillo; Vega Garcia-Escudero; Aracely Garcia-Garcia; Marina Garcia-Macia; Diana García-Moreno; Carmen Garcia-Ruiz; Patricia García-Sanz; Abhishek D Garg; Ricardo Gargini; Tina Garofalo; Robert F Garry; Nils C Gassen; Damian Gatica; Liang Ge; Wanzhong Ge; Ruth Geiss-Friedlander; Cecilia Gelfi; Pascal Genschik; Ian E Gentle; Valeria Gerbino; Christoph Gerhardt; Kyla Germain; Marc Germain; David A Gewirtz; Elham Ghasemipour Afshar; Saeid Ghavami; Alessandra Ghigo; Manosij Ghosh; Georgios Giamas; Claudia Giampietri; Alexandra Giatromanolaki; Gary E Gibson; Spencer B Gibson; Vanessa Ginet; Edward Giniger; Carlotta Giorgi; Henrique Girao; Stephen E Girardin; Mridhula Giridharan; Sandy Giuliano; Cecilia Giulivi; Sylvie Giuriato; Julien Giustiniani; Alexander Gluschko; Veit Goder; Alexander Goginashvili; Jakub Golab; David C Goldstone; Anna Golebiewska; Luciana R Gomes; Rodrigo Gomez; Rubén Gómez-Sánchez; Maria Catalina Gomez-Puerto; Raquel Gomez-Sintes; Qingqiu Gong; Felix M Goni; Javier González-Gallego; Tomas Gonzalez-Hernandez; Rosa A Gonzalez-Polo; Jose A Gonzalez-Reyes; Patricia González-Rodríguez; Ing Swie Goping; Marina S Gorbatyuk; Nikolai V Gorbunov; Kıvanç Görgülü; Roxana M Gorojod; Sharon M Gorski; Sandro Goruppi; Cecilia Gotor; Roberta A Gottlieb; Illana Gozes; Devrim Gozuacik; Martin Graef; Markus H Gräler; Veronica Granatiero; Daniel Grasso; Joshua P Gray; Douglas R Green; Alexander Greenhough; Stephen L Gregory; Edward F Griffin; Mark W Grinstaff; Frederic Gros; Charles Grose; Angelina S Gross; Florian Gruber; Paolo Grumati; Tilman Grune; Xueyan Gu; Jun-Lin Guan; Carlos M Guardia; Kishore Guda; Flora Guerra; Consuelo Guerri; Prasun Guha; Carlos Guillén; Shashi Gujar; Anna Gukovskaya; Ilya Gukovsky; Jan Gunst; Andreas Günther; Anyonya R Guntur; Chuanyong Guo; Chun Guo; Hongqing Guo; Lian-Wang Guo; Ming Guo; Pawan Gupta; Shashi Kumar Gupta; Swapnil Gupta; Veer Bala Gupta; Vivek Gupta; Asa B Gustafsson; David D Gutterman; Ranjitha H B; Annakaisa Haapasalo; James E Haber; Aleksandra Hać; Shinji Hadano; Anders J Hafrén; Mansour Haidar; Belinda S Hall; Gunnel Halldén; Anne Hamacher-Brady; Andrea Hamann; Maho Hamasaki; Weidong Han; Malene Hansen; Phyllis I Hanson; Zijian Hao; Masaru Harada; Ljubica Harhaji-Trajkovic; Nirmala Hariharan; Nigil Haroon; James Harris; Takafumi Hasegawa; Noor Hasima Nagoor; Jeffrey A Haspel; Volker Haucke; Wayne D Hawkins; Bruce A Hay; Cole M Haynes; Soren B Hayrabedyan; Thomas S Hays; Congcong He; Qin He; Rong-Rong He; You-Wen He; Yu-Ying He; Yasser Heakal; Alexander M Heberle; J Fielding Hejtmancik; Gudmundur Vignir Helgason; Vanessa Henkel; Marc Herb; Alexander Hergovich; Anna Herman-Antosiewicz; Agustín Hernández; Carlos Hernandez; Sergio Hernandez-Diaz; Virginia Hernandez-Gea; Amaury Herpin; Judit Herreros; Javier H Hervás; Daniel Hesselson; Claudio Hetz; Volker T Heussler; Yujiro Higuchi; Sabine Hilfiker; Joseph A Hill; William S Hlavacek; Emmanuel A Ho; Idy H T Ho; Philip Wing-Lok Ho; Shu-Leong Ho; Wan Yun Ho; G Aaron Hobbs; Mark Hochstrasser; Peter H M Hoet; Daniel Hofius; Paul Hofman; Annika Höhn; Carina I Holmberg; Jose R Hombrebueno; Chang-Won Hong Yi-Ren Hong; Lora V Hooper; Thorsten Hoppe; Rastislav Horos; Yujin Hoshida; I-Lun Hsin; Hsin-Yun Hsu; Bing Hu; Dong Hu; Li-Fang Hu; Ming Chang Hu; Ronggui Hu; Wei Hu; Yu-Chen Hu; Zhuo-Wei Hu; Fang Hua; Jinlian Hua; Yingqi Hua; Chongmin Huan; Canhua Huang; Chuanshu Huang; Chuanxin Huang; Chunling Huang; Haishan Huang; Kun Huang; Michael L H Huang; Rui Huang; Shan Huang; Tianzhi Huang; Xing Huang; Yuxiang Jack Huang; Tobias B Huber; Virginie Hubert; Christian A Hubner; Stephanie M Hughes; William E Hughes; Magali Humbert; Gerhard Hummer; James H Hurley; Sabah Hussain; Salik Hussain; Patrick J Hussey; Martina Hutabarat; Hui-Yun Hwang; Seungmin Hwang; Antonio Ieni; Fumiyo Ikeda; Yusuke Imagawa; Yuzuru Imai; Carol Imbriano; Masaya Imoto; Denise M Inman; Ken Inoki; Juan Iovanna; Renato V Iozzo; Giuseppe Ippolito; Javier E Irazoqui; Pablo Iribarren; Mohd Ishaq; Makoto Ishikawa; Nestor Ishimwe; Ciro Isidoro; Nahed Ismail; Shohreh Issazadeh-Navikas; Eisuke Itakura; Daisuke Ito; Davor Ivankovic; Saška Ivanova; Anand Krishnan V Iyer; José M Izquierdo; Masanori Izumi; Marja Jäättelä; Majid Sakhi Jabir; William T Jackson; Nadia Jacobo-Herrera; Anne-Claire Jacomin; Elise Jacquin; Pooja Jadiya; Hartmut Jaeschke; Chinnaswamy Jagannath; Arjen J Jakobi; Johan Jakobsson; Bassam Janji; Pidder Jansen-Dürr; Patric J Jansson; Jonathan Jantsch; Sławomir Januszewski; Alagie Jassey; Steve Jean; Hélène Jeltsch-David; Pavla Jendelova; Andreas Jenny; Thomas E Jensen; Niels Jessen; Jenna L Jewell; Jing Ji; Lijun Jia; Rui Jia; Liwen Jiang; Qing Jiang; Richeng Jiang; Teng Jiang; Xuejun Jiang; Yu Jiang; Maria Jimenez-Sanchez; Eun-Jung Jin; Fengyan Jin; Hongchuan Jin; Li Jin; Luqi Jin; Meiyan Jin; Si Jin; Eun-Kyeong Jo; Carine Joffre; Terje Johansen; Gail V W Johnson; Simon A Johnston; Eija Jokitalo; Mohit Kumar Jolly; Leo A B Joosten; Joaquin Jordan; Bertrand Joseph; Dianwen Ju; Jeong-Sun Ju; Jingfang Ju; Esmeralda Juárez; Delphine Judith; Gábor Juhász; Youngsoo Jun; Chang Hwa Jung; Sung-Chul Jung; Yong Keun Jung; Heinz Jungbluth; Johannes Jungverdorben; Steffen Just; Kai Kaarniranta; Allen Kaasik; Tomohiro Kabuta; Daniel Kaganovich; Alon Kahana; Renate Kain; Shinjo Kajimura; Maria Kalamvoki; Manjula Kalia; Danuta S Kalinowski; Nina Kaludercic; Ioanna Kalvari; Joanna Kaminska; Vitaliy O Kaminskyy; Hiromitsu Kanamori; Keizo Kanasaki; Chanhee Kang; Rui Kang; Sang Sun Kang; Senthilvelrajan Kaniyappan; Tomotake Kanki; Thirumala-Devi Kanneganti; Anumantha G Kanthasamy; Arthi Kanthasamy; Marc Kantorow; Orsolya Kapuy; Michalis V Karamouzis; Md Razaul Karim; Parimal Karmakar; Rajesh G Katare; Masaru Kato; Stefan H E Kaufmann; Anu Kauppinen; Gur P Kaushal; Susmita Kaushik; Kiyoshi Kawasaki; Kemal Kazan; Po-Yuan Ke; Damien J Keating; Ursula Keber; John H Kehrl; Kate E Keller; Christian W Keller; Jongsook Kim Kemper; Candia M Kenific; Oliver Kepp; Stephanie Kermorgant; Andreas Kern; Robin Ketteler; Tom G Keulers; Boris Khalfin; Hany Khalil; Bilon Khambu; Shahid Y Khan; Vinoth Kumar Megraj Khandelwal; Rekha Khandia; Widuri Kho; Noopur V Khobrekar; Sataree Khuansuwan; Mukhran Khundadze; Samuel A Killackey; Dasol Kim; Deok Ryong Kim; Do-Hyung Kim; Dong-Eun Kim; Eun Young Kim; Eun-Kyoung Kim; Hak-Rim Kim; Hee-Sik Kim; Jeong Hun Kim; Jin Kyung Kim; Jin-Hoi Kim; Joungmok Kim; Ju Hwan Kim; Keun Il Kim; Peter K Kim; Seong-Jun Kim; Scot R Kimball; Adi Kimchi; Alec C Kimmelman; Tomonori Kimura; Matthew A King; Kerri J Kinghorn; Conan G Kinsey; Vladimir Kirkin; Lorrie A Kirshenbaum; Sergey L Kiselev; Shuji Kishi; Katsuhiko Kitamoto; Yasushi Kitaoka; Kaio Kitazato; Richard N Kitsis; Josef T Kittler; Ole Kjaerulff; Peter S Klein; Thomas Klopstock; Jochen Klucken; Helene Knævelsrud; Roland L Knorr; Ben C B Ko; Fred Ko; Jiunn-Liang Ko; Hotaka Kobayashi; Satoru Kobayashi; Ina Koch; Jan C Koch; Ulrich Koenig; Donat Kögel; Young Ho Koh; Masato Koike; Sepp D Kohlwein; Nur M Kocaturk; Masaaki Komatsu; Jeannette König; Toru Kono; Benjamin T Kopp; Tamas Korcsmaros; Gözde Korkmaz; Viktor I Korolchuk; Mónica Suárez Korsnes; Ali Koskela; Janaiah Kota; Yaichiro Kotake; Monica L Kotler; Yanjun Kou; Michael I Koukourakis; Evangelos Koustas; Attila L Kovacs; Tibor Kovács; Daisuke Koya; Tomohiro Kozako; Claudine Kraft; Dimitri Krainc; Helmut Krämer; Anna D Krasnodembskaya; Carole Kretz-Remy; Guido Kroemer; Nicholas T Ktistakis; Kazuyuki Kuchitsu; Sabine Kuenen; Lars Kuerschner; Thomas Kukar; Ajay Kumar; Ashok Kumar; Deepak Kumar; Dhiraj Kumar; Sharad Kumar; Shinji Kume; Caroline Kumsta; Chanakya N Kundu; Mondira Kundu; Ajaikumar B Kunnumakkara; Lukasz Kurgan; Tatiana G Kutateladze; Ozlem Kutlu; SeongAe Kwak; Ho Jeong Kwon; Taeg Kyu Kwon; Yong Tae Kwon; Irene Kyrmizi; Albert La Spada; Patrick Labonté; Sylvain Ladoire; Ilaria Laface; Frank Lafont; Diane C Lagace; Vikramjit Lahiri; Zhibing Lai; Angela S Laird; Aparna Lakkaraju; Trond Lamark; Sheng-Hui Lan; Ane Landajuela; Darius J R Lane; Jon D Lane; Charles H Lang; Carsten Lange; Ülo Langel; Rupert Langer; Pierre Lapaquette; Jocelyn Laporte; Nicholas F LaRusso; Isabel Lastres-Becker; Wilson Chun Yu Lau; Gordon W Laurie; Sergio Lavandero; Betty Yuen Kwan Law; Helen Ka-Wai Law; Rob Layfield; Weidong Le; Herve Le Stunff; Alexandre Y Leary; Jean-Jacques Lebrun; Lionel Y W Leck; Jean-Philippe Leduc-Gaudet; Changwook Lee; Chung-Pei Lee; Da-Hye Lee; Edward B Lee; Erinna F Lee; Gyun Min Lee; He-Jin Lee; Heung Kyu Lee; Jae Man Lee; Jason S Lee; Jin-A Lee; Joo-Yong Lee; Jun Hee Lee; Michael Lee; Min Goo Lee; Min Jae Lee; Myung-Shik Lee; Sang Yoon Lee; Seung-Jae Lee; Stella Y Lee; Sung Bae Lee; Won Hee Lee; Ying-Ray Lee; Yong-Ho Lee; Youngil Lee; Christophe Lefebvre; Renaud Legouis; Yu L Lei; Yuchen Lei; Sergey Leikin; Gerd Leitinger; Leticia Lemus; Shuilong Leng; Olivia Lenoir; Guido Lenz; Heinz Josef Lenz; Paola Lenzi; Yolanda León; Andréia M Leopoldino; Christoph Leschczyk; Stina Leskelä; Elisabeth Letellier; Chi-Ting Leung; Po Sing Leung; Jeremy S Leventhal; Beth Levine; Patrick A Lewis; Klaus Ley; Bin Li; Da-Qiang Li; Jianming Li; Jing Li; Jiong Li; Ke Li; Liwu Li; Mei Li; Min Li; Min Li; Ming Li; Mingchuan Li; Pin-Lan Li; Ming-Qing Li; Qing Li; Sheng Li; Tiangang Li; Wei Li; Wenming Li; Xue Li; Yi-Ping Li; Yuan Li; Zhiqiang Li; Zhiyong Li; Zhiyuan Li; Jiqin Lian; Chengyu Liang; Qiangrong Liang; Weicheng Liang; Yongheng Liang; YongTian Liang; Guanghong Liao; Lujian Liao; Mingzhi Liao; Yung-Feng Liao; Mariangela Librizzi; Pearl P Y Lie; Mary A Lilly; Hyunjung J Lim; Thania R R Lima; Federica Limana; Chao Lin; Chih-Wen Lin; Dar-Shong Lin; Fu-Cheng Lin; Jiandie D Lin; Kurt M Lin; Kwang-Huei Lin; Liang-Tzung Lin; Pei-Hui Lin; Qiong Lin; Shaofeng Lin; Su-Ju Lin; Wenyu Lin; Xueying Lin; Yao-Xin Lin; Yee-Shin Lin; Rafael Linden; Paula Lindner; Shuo-Chien Ling; Paul Lingor; Amelia K Linnemann; Yih-Cherng Liou; Marta M Lipinski; Saška Lipovšek; Vitor A Lira; Natalia Lisiak; Paloma B Liton; Chao Liu; Ching-Hsuan Liu; Chun-Feng Liu; Cui Hua Liu; Fang Liu; Hao Liu; Hsiao-Sheng Liu; Hua-Feng Liu; Huifang Liu; Jia Liu; Jing Liu; Julia Liu; Leyuan Liu; Longhua Liu; Meilian Liu; Qin Liu; Wei Liu; Wende Liu; Xiao-Hong Liu; Xiaodong Liu; Xingguo Liu; Xu Liu; Xuedong Liu; Yanfen Liu; Yang Liu; Yang Liu; Yueyang Liu; Yule Liu; J Andrew Livingston; Gerard Lizard; Jose M Lizcano; Senka Ljubojevic-Holzer; Matilde E LLeonart; David Llobet-Navàs; Alicia Llorente; Chih Hung Lo; Damián Lobato-Márquez; Qi Long; Yun Chau Long; Ben Loos; Julia A Loos; Manuela G López; Guillermo López-Doménech; José Antonio López-Guerrero; Ana T López-Jiménez; Óscar López-Pérez; Israel López-Valero; Magdalena J Lorenowicz; Mar Lorente; Peter Lorincz; Laura Lossi; Sophie Lotersztajn; Penny E Lovat; Jonathan F Lovell; Alenka Lovy; Péter Lőw; Guang Lu; Haocheng Lu; Jia-Hong Lu; Jin-Jian Lu; Mengji Lu; Shuyan Lu; Alessandro Luciani; John M Lucocq; Paula Ludovico; Micah A Luftig; Morten Luhr; Diego Luis-Ravelo; Julian J Lum; Liany Luna-Dulcey; Anders H Lund; Viktor K Lund; Jan D Lünemann; Patrick Lüningschrör; Honglin Luo; Rongcan Luo; Shouqing Luo; Zhi Luo; Claudio Luparello; Bernhard Lüscher; Luan Luu; Alex Lyakhovich; Konstantin G Lyamzaev; Alf Håkon Lystad; Lyubomyr Lytvynchuk; Alvin C Ma; Changle Ma; Mengxiao Ma; Ning-Fang Ma; Quan-Hong Ma; Xinliang Ma; Yueyun Ma; Zhenyi Ma; Ormond A MacDougald; Fernando Macian; Gustavo C MacIntosh; Jeffrey P MacKeigan; Kay F Macleod; Sandra Maday; Frank Madeo; Muniswamy Madesh; Tobias Madl; Julio Madrigal-Matute; Akiko Maeda; Yasuhiro Maejima; Marta Magarinos; Poornima Mahavadi; Emiliano Maiani; Kenneth Maiese; Panchanan Maiti; Maria Chiara Maiuri; Barbara Majello; Michael B Major; Elena Makareeva; Fayaz Malik; Karthik Mallilankaraman; Walter Malorni; Alina Maloyan; Najiba Mammadova; Gene Chi Wai Man; Federico Manai; Joseph D Mancias; Eva-Maria Mandelkow; Michael A Mandell; Angelo A Manfredi; Masoud H Manjili; Ravi Manjithaya; Patricio Manque; Bella B Manshian; Raquel Manzano; Claudia Manzoni; Kai Mao; Cinzia Marchese; Sandrine Marchetti; Anna Maria Marconi; Fabrizio Marcucci; Stefania Mardente; Olga A Mareninova; Marta Margeta; Muriel Mari; Sara Marinelli; Oliviero Marinelli; Guillermo Mariño; Sofia Mariotto; Richard S Marshall; Mark R Marten; Sascha Martens; Alexandre P J Martin; Katie R Martin; Sara Martin; Shaun Martin; Adrián Martín-Segura; Miguel A Martín-Acebes; Inmaculada Martin-Burriel; Marcos Martin-Rincon; Paloma Martin-Sanz; José A Martina; Wim Martinet; Aitor Martinez; Ana Martinez; Jennifer Martinez; Moises Martinez Velazquez; Nuria Martinez-Lopez; Marta Martinez-Vicente; Daniel O Martins; Joilson O Martins; Waleska K Martins; Tania Martins-Marques; Emanuele Marzetti; Shashank Masaldan; Celine Masclaux-Daubresse; Douglas G Mashek; Valentina Massa; Lourdes Massieu; Glenn R Masson; Laura Masuelli; Anatoliy I Masyuk; Tetyana V Masyuk; Paola Matarrese; Ander Matheu; Satoaki Matoba; Sachiko Matsuzaki; Pamela Mattar; Alessandro Matte; Domenico Mattoscio; José L Mauriz; Mario Mauthe; Caroline Mauvezin; Emanual Maverakis; Paola Maycotte; Johanna Mayer; Gianluigi Mazzoccoli; Cristina Mazzoni; Joseph R Mazzulli; Nami McCarty; Christine McDonald; Mitchell R McGill; Sharon L McKenna; BethAnn McLaughlin; Fionn McLoughlin; Mark A McNiven; Thomas G McWilliams; Fatima Mechta-Grigoriou; Tania Catarina Medeiros; Diego L Medina; Lynn A Megeney; Klara Megyeri; Maryam Mehrpour; Jawahar L Mehta; Alfred J Meijer; Annemarie H Meijer; Jakob Mejlvang; Alicia Meléndez; Annette Melk; Gonen Memisoglu; Alexandrina F Mendes; Delong Meng; Fei Meng; Tian Meng; Rubem Menna-Barreto; Manoj B Menon; Carol Mercer; Anne E Mercier; Jean-Louis Mergny; Adalberto Merighi; Seth D Merkley; Giuseppe Merla; Volker Meske; Ana Cecilia Mestre; Shree Padma Metur; Christian Meyer; Hemmo Meyer; Wenyi Mi; Jeanne Mialet-Perez; Junying Miao; Lucia Micale; Yasuo Miki; Enrico Milan; Małgorzata Milczarek; Dana L Miller; Samuel I Miller; Silke Miller; Steven W Millward; Ira Milosevic; Elena A Minina; Hamed Mirzaei; Hamid Reza Mirzaei; Mehdi Mirzaei; Amit Mishra; Nandita Mishra; Paras Kumar Mishra; Maja Misirkic Marjanovic; Roberta Misasi; Amit Misra; Gabriella Misso; Claire Mitchell; Geraldine Mitou; Tetsuji Miura; Shigeki Miyamoto; Makoto Miyazaki; Mitsunori Miyazaki; 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Francesca Pentimalli; Cláudia Mf Pereira; Gustavo J S Pereira; Lilian C Pereira; Luis Pereira de Almeida; Nirma D Perera; Ángel Pérez-Lara; Ana B Perez-Oliva; María Esther Pérez-Pérez; Palsamy Periyasamy; Andras Perl; Cristiana Perrotta; Ida Perrotta; Richard G Pestell; Morten Petersen; Irina Petrache; Goran Petrovski; Thorsten Pfirrmann; Astrid S Pfister; Jennifer A Philips; Huifeng Pi; Anna Picca; Alicia M Pickrell; Sandy Picot; Giovanna M Pierantoni; Marina Pierdominici; Philippe Pierre; Valérie Pierrefite-Carle; Karolina Pierzynowska; Federico Pietrocola; Miroslawa Pietruczuk; Claudio Pignata; Felipe X Pimentel-Muiños; Mario Pinar; Roberta O Pinheiro; Ronit Pinkas-Kramarski; Paolo Pinton; Karolina Pircs; Sujan Piya; Paola Pizzo; Theo S Plantinga; Harald W Platta; Ainhoa Plaza-Zabala; Markus Plomann; Egor Y Plotnikov; Helene Plun-Favreau; Ryszard Pluta; Roger Pocock; Stefanie Pöggeler; Christian Pohl; Marc Poirot; Angelo Poletti; Marisa Ponpuak; Hana Popelka; Blagovesta Popova; Helena Porta; 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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; 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Alberto Sanz; Pascual Sanz; Shweta Saran; Marco Sardiello; Timothy J Sargeant; Apurva Sarin; Chinmoy Sarkar; Sovan Sarkar; Maria-Rosa Sarrias; Surajit Sarkar; Dipanka Tanu Sarmah; Jaakko Sarparanta; Aishwarya Sathyanarayan; Ranganayaki Sathyanarayanan; K Matthew Scaglione; Francesca Scatozza; Liliana Schaefer; Zachary T Schafer; Ulrich E Schaible; Anthony H V Schapira; Michael Scharl; Hermann M Schatzl; Catherine H Schein; Wiep Scheper; David Scheuring; Maria Vittoria Schiaffino; Monica Schiappacassi; Rainer Schindl; Uwe Schlattner; Oliver Schmidt; Roland Schmitt; Stephen D Schmidt; Ingo Schmitz; Eran Schmukler; Anja Schneider; Bianca E Schneider; Romana Schober; Alejandra C Schoijet; Micah B Schott; Michael Schramm; Bernd Schröder; Kai Schuh; Christoph Schüller; Ryan J Schulze; Lea Schürmanns; Jens C Schwamborn; Melanie Schwarten; Filippo Scialo; Sebastiano Sciarretta; Melanie J Scott; Kathleen W Scotto; A Ivana Scovassi; Andrea Scrima; Aurora Scrivo; David Sebastian; Salwa Sebti; Simon Sedej; Laura Segatori; Nava Segev; Per O Seglen; Iban Seiliez; Ekihiro Seki; Scott B Selleck; Frank W Sellke; Joshua T Selsby; Michael Sendtner; Serif Senturk; Elena Seranova; Consolato Sergi; Ruth Serra-Moreno; Hiromi Sesaki; Carmine Settembre; Subba Rao Gangi Setty; Gianluca Sgarbi; Ou Sha; John J Shacka; Javeed A Shah; Dantong Shang; Changshun Shao; Feng Shao; Soroush Sharbati; Lisa M Sharkey; Dipali Sharma; Gaurav Sharma; Kulbhushan Sharma; Pawan Sharma; Surendra Sharma; Han-Ming Shen; Hongtao Shen; Jiangang Shen; Ming Shen; Weili Shen; Zheni Shen; Rui Sheng; Zhi Sheng; Zu-Hang Sheng; Jianjian Shi; Xiaobing Shi; Ying-Hong Shi; Kahori Shiba-Fukushima; Jeng-Jer Shieh; Yohta Shimada; Shigeomi Shimizu; Makoto Shimozawa; Takahiro Shintani; Christopher J Shoemaker; Shahla Shojaei; Ikuo Shoji; Bhupendra V Shravage; Viji Shridhar; Chih-Wen Shu; Hong-Bing Shu; Ke Shui; Arvind K Shukla; Timothy E Shutt; Valentina Sica; Aleem Siddiqui; Amanda Sierra; Virginia Sierra-Torre; Santiago Signorelli; Payel Sil; Bruno J de Andrade Silva; Johnatas D Silva; Eduardo Silva-Pavez; Sandrine Silvente-Poirot; Rachel E Simmonds; Anna Katharina Simon; Hans-Uwe Simon; Matias Simons; Anurag Singh; Lalit P Singh; Rajat Singh; Shivendra V Singh; Shrawan K Singh; Sudha B Singh; Sunaina Singh; Surinder Pal Singh; Debasish Sinha; Rohit Anthony Sinha; Sangita Sinha; Agnieszka Sirko; Kapil Sirohi; Efthimios L Sivridis; Panagiotis Skendros; Aleksandra Skirycz; Iva Slaninová; Soraya S Smaili; Andrei Smertenko; Matthew D Smith; Stefaan J Soenen; Eun Jung Sohn; Sophia P M Sok; Giancarlo Solaini; Thierry Soldati; Scott A Soleimanpour; Rosa M Soler; Alexei Solovchenko; Jason A Somarelli; Avinash Sonawane; Fuyong Song; Hyun Kyu Song; Ju-Xian Song; Kunhua Song; Zhiyin Song; Leandro R Soria; Maurizio Sorice; Alexander A Soukas; Sandra-Fausia Soukup; Diana Sousa; Nadia Sousa; Paul A Spagnuolo; Stephen A Spector; M M Srinivas Bharath; Daret St Clair; Venturina Stagni; Leopoldo Staiano; Clint A Stalnecker; Metodi V Stankov; Peter B Stathopulos; Katja Stefan; Sven Marcel Stefan; Leonidas Stefanis; Joan S Steffan; Alexander Steinkasserer; Harald Stenmark; Jared Sterneckert; Craig Stevens; Veronika Stoka; Stephan Storch; Björn Stork; Flavie Strappazzon; Anne Marie Strohecker; Dwayne G Stupack; Huanxing Su; Ling-Yan Su; Longxiang Su; Ana M Suarez-Fontes; Carlos S Subauste; Selvakumar Subbian; Paula V Subirada; Ganapasam Sudhandiran; Carolyn M Sue; Xinbing Sui; Corey Summers; Guangchao Sun; Jun Sun; Kang Sun; Meng-Xiang Sun; Qiming Sun; Yi Sun; Zhongjie Sun; Karen K S Sunahara; Eva Sundberg; Katalin Susztak; Peter Sutovsky; Hidekazu Suzuki; Gary Sweeney; J David Symons; Stephen Cho Wing Sze; Nathaniel J Szewczyk; Anna Tabęcka-Łonczynska; Claudio Tabolacci; Frank Tacke; Heinrich Taegtmeyer; Marco Tafani; Mitsuo Tagaya; Haoran Tai; Stephen W G Tait; Yoshinori Takahashi; Szabolcs Takats; Priti Talwar; Chit Tam; Shing Yau Tam; Davide Tampellini; Atsushi Tamura; Chong Teik Tan; Eng-King Tan; Ya-Qin Tan; Masaki Tanaka; Motomasa Tanaka; Daolin Tang; Jingfeng Tang; Tie-Shan Tang; Isei Tanida; Zhipeng Tao; Mohammed Taouis; Lars Tatenhorst; Nektarios Tavernarakis; Allen Taylor; Gregory A Taylor; Joan M Taylor; Elena Tchetina; Andrew R Tee; Irmgard Tegeder; David Teis; Natercia Teixeira; Fatima Teixeira-Clerc; Kumsal A Tekirdag; Tewin Tencomnao; Sandra Tenreiro; Alexei V Tepikin; Pilar S Testillano; Gianluca Tettamanti; Pierre-Louis Tharaux; Kathrin Thedieck; Arvind A Thekkinghat; Stefano Thellung; Josephine W Thinwa; V P Thirumalaikumar; Sufi Mary Thomas; Paul G Thomes; Andrew Thorburn; Lipi Thukral; Thomas Thum; Michael Thumm; Ling Tian; Ales Tichy; Andreas Till; Vincent Timmerman; Vladimir I Titorenko; Sokol V Todi; Krassimira Todorova; Janne M Toivonen; Luana Tomaipitinca; Dhanendra Tomar; Cristina Tomas-Zapico; Sergej Tomić; Benjamin Chun-Kit Tong; Chao Tong; Xin Tong; Sharon A Tooze; Maria L Torgersen; Satoru Torii; Liliana Torres-López; Alicia Torriglia; Christina G Towers; Roberto Towns; Shinya Toyokuni; Vladimir Trajkovic; Donatella Tramontano; Quynh-Giao Tran; Leonardo H Travassos; Charles B Trelford; Shirley Tremel; Ioannis P Trougakos; Betty P Tsao; Mario P Tschan; Hung-Fat Tse; Tak Fu Tse; Hitoshi Tsugawa; Andrey S Tsvetkov; David A Tumbarello; Yasin Tumtas; María J Tuñón; Sandra Turcotte; Boris Turk; Vito Turk; Bradley J Turner; Richard I Tuxworth; Jessica K Tyler; Elena V Tyutereva; Yasuo Uchiyama; Aslihan Ugun-Klusek; Holm H Uhlig; Marzena Ułamek-Kozioł; Ilya V Ulasov; Midori Umekawa; Christian Ungermann; Rei Unno; Sylvie Urbe; Elisabet Uribe-Carretero; Suayib Üstün; Vladimir N Uversky; Thomas Vaccari; Maria I Vaccaro; Björn F Vahsen; Helin Vakifahmetoglu-Norberg; Rut Valdor; Maria J Valente; Ayelén Valko; Richard B Vallee; Angela M Valverde; Greet Van den Berghe; Stijn van der Veen; Luc Van Kaer; Jorg van Loosdregt; Sjoerd J L van Wijk; Wim Vandenberghe; Ilse Vanhorebeek; Marcos A Vannier-Santos; Nicola Vannini; M Cristina Vanrell; Chiara Vantaggiato; Gabriele Varano; Isabel Varela-Nieto; Máté Varga; M Helena Vasconcelos; Somya Vats; Demetrios G Vavvas; Ignacio Vega-Naredo; Silvia Vega-Rubin-de-Celis; Guillermo Velasco; Ariadna P Velázquez; Tibor Vellai; Edo Vellenga; Francesca Velotti; Mireille Verdier; Panayotis Verginis; Isabelle Vergne; Paul Verkade; Manish Verma; Patrik Verstreken; Tim Vervliet; Jörg Vervoorts; Alexandre T Vessoni; Victor M Victor; Michel Vidal; Chiara Vidoni; Otilia V Vieira; Richard D Vierstra; Sonia Viganó; Helena Vihinen; Vinoy Vijayan; Miquel Vila; Marçal Vilar; José M Villalba; Antonio Villalobo; Beatriz Villarejo-Zori; Francesc Villarroya; Joan Villarroya; Olivier Vincent; Cecile Vindis; Christophe Viret; Maria Teresa Viscomi; Dora Visnjic; Ilio Vitale; David J Vocadlo; Olga V Voitsekhovskaja; Cinzia Volonté; Mattia Volta; Marta Vomero; Clarissa Von Haefen; Marc A Vooijs; Wolfgang Voos; Ljubica Vucicevic; Richard Wade-Martins; Satoshi Waguri; Kenrick A Waite; Shuji Wakatsuki; David W Walker; Mark J Walker; Simon A Walker; Jochen Walter; Francisco G Wandosell; Bo Wang; Chao-Yung Wang; Chen Wang; Chenran Wang; Chenwei Wang; Cun-Yu Wang; Dong Wang; Fangyang Wang; Feng Wang; Fengming Wang; Guansong Wang; Han Wang; Hao Wang; Hexiang Wang; Hong-Gang Wang; Jianrong Wang; Jigang Wang; Jiou Wang; Jundong Wang; Kui Wang; Lianrong Wang; Liming Wang; Maggie Haitian Wang; Meiqing Wang; Nanbu Wang; Pengwei Wang; Peipei Wang; Ping Wang; Ping Wang; Qing Jun Wang; Qing Wang; Qing Kenneth Wang; Qiong A Wang; Wen-Tao Wang; Wuyang Wang; Xinnan Wang; Xuejun Wang; Yan Wang; Yanchang Wang; Yanzhuang Wang; Yen-Yun Wang; Yihua Wang; Yipeng Wang; Yu Wang; Yuqi Wang; Zhe Wang; Zhenyu Wang; Zhouguang Wang; Gary Warnes; Verena Warnsmann; Hirotaka Watada; Eizo Watanabe; Maxinne Watchon; Anna Wawrzyńska; Timothy E Weaver; Grzegorz Wegrzyn; Ann M Wehman; Huafeng Wei; Lei Wei; Taotao Wei; Yongjie Wei; Oliver H Weiergräber; Conrad C Weihl; Günther Weindl; Ralf Weiskirchen; Alan Wells; Runxia H Wen; Xin Wen; Antonia Werner; Beatrice Weykopf; Sally P Wheatley; J Lindsay Whitton; Alexander J Whitworth; Katarzyna Wiktorska; Manon E Wildenberg; Tom Wileman; Simon Wilkinson; Dieter Willbold; Brett Williams; Robin S B Williams; Roger L Williams; Peter R Williamson; Richard A Wilson; Beate Winner; Nathaniel J Winsor; Steven S Witkin; Harald Wodrich; Ute Woehlbier; Thomas Wollert; Esther Wong; Jack Ho Wong; Richard W Wong; Vincent Kam Wai Wong; W Wei-Lynn Wong; An-Guo Wu; Chengbiao Wu; Jian Wu; Junfang Wu; Kenneth K Wu; Min Wu; Shan-Ying Wu; Shengzhou Wu; Shu-Yan Wu; Shufang Wu; William K K Wu; Xiaohong Wu; Xiaoqing Wu; Yao-Wen Wu; Yihua Wu; Ramnik J Xavier; Hongguang Xia; Lixin Xia; Zhengyuan Xia; Ge Xiang; Jin Xiang; Mingliang Xiang; Wei Xiang; Bin Xiao; Guozhi Xiao; Hengyi Xiao; Hong-Tao Xiao; Jian Xiao; Lan Xiao; Shi Xiao; Yin Xiao; Baoming Xie; Chuan-Ming Xie; Min Xie; Yuxiang Xie; Zhiping Xie; Zhonglin Xie; Maria Xilouri; Congfeng Xu; En Xu; Haoxing Xu; Jing Xu; JinRong Xu; Liang Xu; Wen Wen Xu; Xiulong Xu; Yu Xue; Sokhna M S Yakhine-Diop; Masamitsu Yamaguchi; Osamu Yamaguchi; Ai Yamamoto; Shunhei Yamashina; Shengmin Yan; Shian-Jang Yan; Zhen Yan; Yasuo Yanagi; Chuanbin Yang; Dun-Sheng Yang; Huan Yang; Huang-Tian Yang; Hui Yang; Jin-Ming Yang; Jing Yang; Jingyu Yang; Ling Yang; Liu Yang; Ming Yang; Pei-Ming Yang; Qian Yang; Seungwon Yang; Shu Yang; Shun-Fa Yang; Wannian Yang; Wei Yuan Yang; Xiaoyong Yang; Xuesong Yang; Yi Yang; Ying Yang; Honghong Yao; Shenggen Yao; Xiaoqiang Yao; Yong-Gang Yao; Yong-Ming Yao; Takahiro Yasui; Meysam Yazdankhah; Paul M Yen; Cong Yi; Xiao-Ming Yin; Yanhai Yin; Zhangyuan Yin; Ziyi Yin; Meidan Ying; Zheng Ying; Calvin K Yip; Stephanie Pei Tung Yiu; Young H Yoo; Kiyotsugu Yoshida; Saori R Yoshii; Tamotsu Yoshimori; Bahman Yousefi; Boxuan Yu; Haiyang Yu; Jun Yu; Jun Yu; Li Yu; Ming-Lung Yu; Seong-Woon Yu; Victor C Yu; W Haung Yu; Zhengping Yu; Zhou Yu; Junying Yuan; Ling-Qing Yuan; Shilin Yuan; Shyng-Shiou F Yuan; Yanggang Yuan; Zengqiang Yuan; Jianbo Yue; Zhenyu Yue; Jeanho Yun; Raymond L Yung; David N Zacks; Gabriele Zaffagnini; Vanessa O Zambelli; Isabella Zanella; Qun S Zang; Sara Zanivan; Silvia Zappavigna; Pilar Zaragoza; Konstantinos S Zarbalis; Amir Zarebkohan; Amira Zarrouk; Scott O Zeitlin; Jialiu Zeng; Ju-Deng Zeng; Eva Žerovnik; Lixuan Zhan; Bin Zhang; Donna D Zhang; Hanlin Zhang; Hong Zhang; Hong Zhang; Honghe Zhang; Huafeng Zhang; Huaye Zhang; Hui Zhang; Hui-Ling Zhang; Jianbin Zhang; Jianhua Zhang; Jing-Pu Zhang; Kalin Y B Zhang; Leshuai W Zhang; Lin Zhang; Lisheng Zhang; Lu Zhang; Luoying Zhang; Menghuan Zhang; Peng Zhang; Sheng Zhang; Wei Zhang; Xiangnan Zhang; Xiao-Wei Zhang; Xiaolei Zhang; Xiaoyan Zhang; Xin Zhang; Xinxin Zhang; Xu Dong Zhang; Yang Zhang; Yanjin Zhang; Yi Zhang; Ying-Dong Zhang; Yingmei Zhang; Yuan-Yuan Zhang; Yuchen Zhang; Zhe Zhang; Zhengguang Zhang; Zhibing Zhang; Zhihai Zhang; Zhiyong Zhang; Zili Zhang; Haobin Zhao; Lei Zhao; Shuang Zhao; Tongbiao Zhao; Xiao-Fan Zhao; Ying Zhao; Yongchao Zhao; Yongliang Zhao; Yuting Zhao; Guoping Zheng; Kai Zheng; Ling Zheng; Shizhong Zheng; Xi-Long Zheng; Yi Zheng; Zu-Guo Zheng; Boris Zhivotovsky; Qing Zhong; Ao Zhou; Ben Zhou; Cefan Zhou; Gang Zhou; Hao Zhou; Hong Zhou; Hongbo Zhou; Jie Zhou; Jing Zhou; Jing Zhou; Jiyong Zhou; Kailiang Zhou; Rongjia Zhou; Xu-Jie Zhou; Yanshuang Zhou; Yinghong Zhou; Yubin Zhou; Zheng-Yu Zhou; Zhou Zhou; Binglin Zhu; Changlian Zhu; Guo-Qing Zhu; Haining Zhu; Hongxin Zhu; Hua Zhu; Wei-Guo Zhu; Yanping Zhu; Yushan Zhu; Haixia Zhuang; Xiaohong Zhuang; Katarzyna Zientara-Rytter; Christine M Zimmermann; Elena Ziviani; Teresa Zoladek; Wei-Xing Zong; Dmitry B Zorov; Antonio Zorzano; Weiping Zou; Zhen Zou; Zhengzhi Zou; Steven Zuryn; Werner Zwerschke; Beate Brand-Saberi; X Charlie Dong; Chandra Shekar Kenchappa; Zuguo Li; Yong Lin; Shigeru Oshima; Yueguang Rong; Judith C Sluimer; Christina L Stallings; Chun-Kit Tong
Journal:  Autophagy       Date:  2021-02-08       Impact factor: 13.391

5.  Axonal Protection by Netarsudil, a ROCK Inhibitor, Is Linked to an AMPK-Autophagy Pathway in TNF-Induced Optic Nerve Degeneration.

Authors:  Yasushi Kitaoka; Kana Sase; Chihiro Tsukahara; Naoki Fujita; Ibuki Arizono; Jiro Kogo; Naoto Tokuda; Hitoshi Takagi
Journal:  Invest Ophthalmol Vis Sci       Date:  2022-01-03       Impact factor: 4.799

6.  Lung cancer cells expressing a shortened CDK16 3'UTR escape senescence through impaired miR-485-5p targeting.

Authors:  Qi Jia; Baiyun Xie; Zhaozhao Zhao; Leihuan Huang; Gang Wei; Ting Ni
Journal:  Mol Oncol       Date:  2021-11-09       Impact factor: 6.603

Review 7.  Targeting Breast Cancer and Their Stem Cell Population through AMPK Activation: Novel Insights.

Authors:  Bhawna Uprety; Heidi Abrahamse
Journal:  Cells       Date:  2022-02-07       Impact factor: 6.600

  7 in total

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