Literature DB >> 28399880

Quantitative proteomic analysis of Parkin substrates in Drosophila neurons.

Aitor Martinez1,2,3, Benoit Lectez1, Juanma Ramirez1,2, Oliver Popp4, James D Sutherland2, Sylvie Urbé3, Gunnar Dittmar5, Michael J Clague6, Ugo Mayor7,8,9.   

Abstract

BACKGROUND: Parkin (PARK2) is an E3 ubiquitin ligase that is commonly mutated in Familial Parkinson's Disease (PD). In cell culture models, Parkin is recruited to acutely depolarised mitochondria by PINK1. PINK1 activates Parkin activity leading to ubiquitination of multiple proteins, which in turn promotes clearance of mitochondria by mitophagy. Many substrates have been identified using cell culture models in combination with depolarising drugs or proteasome inhibitors, but not in more physiological settings.
METHODS: Here we utilized the recently introduced BioUb strategy to isolate ubiquitinated proteins in flies. Following Parkin Wild-Type (WT) and Parkin Ligase dead (LD) expression we analysed by mass spectrometry and stringent bioinformatics analysis those proteins differentially ubiquitinated to provide the first survey of steady state Parkin substrates using an in vivo model. We further used an in vivo ubiquitination assay to validate one of those substrates in SH-SY5Y cells.
RESULTS: We identified 35 proteins that are more prominently ubiquitinated following Parkin over-expression. These include several mitochondrial proteins and a number of endosomal trafficking regulators such as v-ATPase sub-units, Syx5/STX5, ALiX/PDCD6IP and Vps4. We also identified the retromer component, Vps35, another PD-associated gene that has recently been shown to interact genetically with parkin. Importantly, we validated Parkin-dependent ubiquitination of VPS35 in human neuroblastoma cells.
CONCLUSIONS: Collectively our results provide new leads to the possible physiological functions of Parkin activity that are not overtly biased by acute mitochondrial depolarisation.

Entities:  

Keywords:  Alzheimer’s Disease (AD); Drosophila melanogaster; In vivo; Label Free Quantification (LFQ); Neurodegeneration; Parkin (PARK2); Parkin substrates; Parkinson’s Disease (PD); Ubiquitination; VPS35

Mesh:

Substances:

Year:  2017        PMID: 28399880      PMCID: PMC5387213          DOI: 10.1186/s13024-017-0170-3

Source DB:  PubMed          Journal:  Mol Neurodegener        ISSN: 1750-1326            Impact factor:   14.195


Background

Parkinson’s Disease (PD) is the most common form of Parkinsonism and the second most common neurodegenerative disease after Alzheimer’s. PD patients display resting tremor, rigidity and postural disability, usually accompanied by other non-motor symptoms. Phenotypically, PD is mainly characterized by loss of dopaminergic neurons in the substantia nigra and the presence of Lewy bodies [1, 2]. PD has been classically considered a sporadic disease linked to aging with an unknown aetiology. However, in about 10% of the cases, mutations in specific genes cause Familial forms of PD. These genes show Mendelian inheritance and can be classified as either autosomal dominant (SNCA, LRRK2, VPS35) or autosomal recessive (PARK2, PARK7, PINK1, ATP13A2, FBXO7, PLA2G6, DNAJC6, SYNJ1). Moreover, recent exome sequencing and cohort genome-wide association studies (GWAS) have identified several other risk factor genes associated with sporadic PD and other Parkinsonian syndromes [3-6]. The set of genes implicated in PD encode for proteins involved in mitochondrial homeostasis, autophagy, endo-lysosomal trafficking, Ca+2 homeostasis and dopamine homeostasis [7-10]. However, the exact pathophysiological mechanisms leading to the disease are not yet clear. At the moment there is no effective biomarker for the diagnosis of PD, which can only be determined by postmortem brain analysis [11]. Amongst PD related genes, mutations in Parkin (PARK2) and PTEN-induced kinase 1 (PINK1) cause early-onset Familial PD [12, 13]. Parkin is a RING between RING (RBR) E3 ubiquitin ligase, which conveys the transfer of ubiquitin onto selected substrate proteins [14, 15]. Parkin null Drosophila melanogaster display Parkinsonian-like phenotypes including reduced life span, climbing and flying disability, sterility, mitochondrial defects and dopaminergic neurodegeneration [16]. Genetic studies in Drosophila established that pink1 acts upstream of parkin to maintain mitochondrial integrity [17, 18]. Upon mitochondrial depolarization PINK1 accumulates at the Outer Mitochondrial Membrane (OMM), where it phosphorylates both ubiquitin and the Ubiquitin-like (UBL) domain of Parkin to recruit and activate latent Parkin ubiquitin ligase activity [19-25]. Activated Parkin ubiquitinates several OMM proteins and promotes both proteasome-dependent degradation of specific proteins and mitophagy, a specialised type of autophagy where the whole mitochondrion is engulfed into autophagosomes [26-28]. PINK1 and Parkin are widely considered neuroprotective and different studies have shown that PINK1/Parkin over-expression can protect against cell death in a number of contexts in vitro and in vivo [29]. Therefore it has been proposed that drugs promoting PINK1/Parkin - dependent mitophagy could serve as effective treatments for PD. However, recent evidence demonstrates that excessive Parkin over-expression results in sensitization to cell death using in vitro [30-32] and in vivo models [33]. It is essential to identify physiologically relevant Parkin substrates to understand the pathways leading to PD in order to develop a treatment. A considerable number of proteins have been reported to be Parkin substrates but most of the work has relied on cultured cells, mainly of epithelial origin, usually upon treatment with mitochondrial depolarising agents [27, 34–38]. Here we extend this approach by performing a high throughput mass spectrometry proteomic study of Parkin substrates in vivo. We have utilised a fly model expressing constitutively biotinylated ubiquitin [39-43] to purify proteins ubiquitinated by Parkin in Drosophila neurons. Our study identifies both established and novel Parkin substrates.

Methods

DNA construction

Drosophila park gene was amplified from a Drosophila cDNA library (DGC realease 1.0, Berkeley Drosophila Genome Project) and FLAG-tag cloned at its 5’-end using the FLAG-parkin-Fw (GCCCTCGAGATGGATTACAAGGATGATGACGATAAGATGAGTTTTATTTTTAAATTTATTGCCAC) and parkin-Rv (GCCTCTAGATTAGCCGAACCAGTGGGCTCC) primers. This construct was then inserted into a pUASattb vector between the XhoI and XbaI sites. Ligase-dead FLAG-Parkin (ParkinLD) was generated by mutating the C449 to S using the QuikChange Site-Directed Mutagenesis Kit (Stratagene) according to manufacturer’s instructions. The primers used for mutagenesis were C449S-Fw (GGAGCGAGATGGCGGTGCATGCACATGGTCTGCACACG) and C449S-Rv (CGTGTGCAGACCATGTGCATGCACCGCCATCTCGCTCC). Untagged human Parkin and Parkin (C431S) were amplified from pcDNA3.1(+)-HA-Parkin and pcDNA3.1(+)-HA-Parkin(C431S) respectively with primers forward (GCCGAAGCTTAACCATGATAGTGTTTGTCAGG) and reverse (AGTCTAGACTACACGTCGAACCAGTGGTCCTGGG). PCR products were inserted into pcDNA3.1(+) between HindIII and XbaI.

Antibodies

The following antibodies were used against Drosophila proteins: goat anti-biotin-horseradish peroxidase (HRP) conjugated antibody (Cell Signalling); chicken polyclonal anti-BirA antibody (Sigma); rabbit polyclonal anti-Parkin antibody [44]; mouse monoclonal anti-Syx1A antibody (DSHB); rabbit polyclonal anti-RdhB [45]; rabbit polyclonal anti-ArgK [46]; rabbit polyclonal anti-Vps4 [47]; rabbit polyclonal anti-Fax antibody (a gift from Eric Liebl); rabbit polyclonal anti-Ubiquitin antibody (Sigma). The following antibodies were used against Human proteins: goat polyclonal anti-VPS35 antibody (Abcam); mouse monoclonal anti-Cleaved Parp-85 fragment (Cell Signaling); mouse monoclonal anti-Parkin (Santa Cruz); rabbit polyclonal anti-PINK1 (Novus Biologicals); rabbit polyclonal anti-Miro1 (Sigma); rabbit polyclonal anti-Tim44 (Sigma); rabbit polyclonal anti-Tom20 (Sigma); mouse monoclonal (Abcam) and rabbit polyclonal (Sigma) anti-Actin. For monitoring the GFP pull-downs the following antibodies were used: monoclonal mouse anti-GFP antibody (Roche) and monoclonal mouse anti-Flag M2-HRP conjugated antibody (Sigma). Anti-mouse, rabbit and chicken HRP labelled secondary antibodies (Jackson ImmunoResearch Laboratories) and anti-guinea pig (Invitrogen) were used; and anti-mouse, rabbit and sheep IR 680 and IR800-coupled antibodies (LI-COR Biosciences).

Drosophila stocks

UAS-BirA and UAS-( Ub) -BirA [39] and their recombination with GMR-GAL4 flies for the study of ubiquitin proteomics has been previously described [43]. FLAG-tagged Parkin wild-type (ParkinWT) and ParkinLD flies were generated at Bestgene using the pUASattb constructs described above. Both UAS-Parkin and UAS-Parkin lines were independently crossed with GMR-GAL4,UAS-( Ub) -BirA to finally generate: GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin . GMR-GAL4/CyO;UAS-BirA/TM6 and GMR-GAL4,UAS-( Ub) -BirA/CyO flies were additionally used as controls. UAS-GFP, elav-GAL4, GMR-GAL4, Tub-GAL4, Da-GAL4, Ple-GAL4 flies were obtained from Bloomington Drosophila Stock Center. UAS-GFP flies were obtained from [48] and park /TM6b GFP-w and UAS-park were obtained from [16]. Flies were grown in 12 h light-dark cycles at 25 °C and were fed with wheat flour and yeast food (1% agar, 5.5% dextrose, 3.5% wheat flour, 5% yeast, 0.25% Nipagen, 0.4% Propionic acid and 0.02% Benzalkonium Chloride in distilled H2O).

Climbing assay

Flies of indicated ages and genotypes were anesthetised with CO2 on a pad, and 20 flies (10 male and 10 female) were randomly selected. After an hour of recovery, flies were transferred to a climbing vial and ability to climb was scored as followed. Flies were gently tapped to the bottom and the number of flies that reached the 10 cm mark at 30 s was counted three times, with 30 s interval.

Survival assay

One hundred newborn flies of the indicated genotypes were maintained in wheat flour and yeast food in 12 h light-dark cycles at 25 °C. The vials were changed every 2–3 days and the number of flies alive was counted.

Fly head extract preparation and cell lysis

Six heads (three males and three females) of adult flies were cut and homogenised in 60 μL of 4x Laemmli buffer with DTT. Samples were centrifuged 1 min at maximum spin and the supernatant was recovered. Cells were harvested using “Hot Lysis buffer” (2% SDS, 50 mM NaF and 1 mM EDTA at 110 °C; Fig. 8). Protein concentrations were determined by BCA protein assay (Pierce).
Fig. 8

Human Parkin and VPS35 interaction: VPS35 is ubiquitinated by wild type Parkin in human cells. a VPS35 is ubiquitinated by untagged WT Parkin in SH-SY5Y cells. YFP-VPS35 showed a significant increase in its ubiquitinated fraction when it is over-expressed with wild type untagged hParkin (WT), as shown with anti-FLAG (to FLAG-Ub) antibody Western blot (red) compared to control (C) or the single point (C431S) mutated hParkin (LD). The non-modified form of VPS35 was detected by GFP antibody (green). The bottom panel shows levels of Parkin protein in the whole cell extract before the isolation of the GFP-tagged proteins. The endogenous Parkin protein is barely detected. b Quantification of the ubiquitination status of VPS35 relative to the non-modified form was performed calculating the ratio FLAG:GFP with Image-J. The plot shows relative levels of VPS35 ubiquitination normalized to the GFP levels. Statistical significance in Western blotting semi-quantification was evaluated using an analysis of variance (ANOVA) complemented by Tukey’s honest significance difference test (Tukey’s HSD) performed in GraphPad PRISM software. Statistical significance differences (**, p < 0.01 (mean ± SEM, n = 4)) were observed for the WT Parkin sample relative to both control and LD Parkin samples. For LD Parkin sample ns indicates not significant differences relative to the control sample. c VPS35 knockdown does not affect Parkin - dependent mitophagy. hTERT-RPE1 cells stably over-expressing YFP-Parkin were subjected to control and VPS35 siRNA for 72 h or 165 h and treated with 10 μM CCCP for 2, 8 and 24 h. Samples were immunoblotted as indicated. High exp: high exposure

Cell culture, siRNA knockdown and transfection

hTERT-RPE1-Parkin cells [32, 49] were cultured in Dulbecco’s modified Eagle’s medium (DMEM)/F12 with 10% FBS, 1% non-essential amino acids and 1% penicillin/streptomycin. Reverse transfection was performed using Lipofectamine RNAi-MAX (Invitrogen) and carried out for 72 h according to manufacturer’s instruction. Further 165 h double-hit knockdown was executed by transfecting again previously siRNA treated cells at 72 h. Cells were transfected with the following siRNA at a final concentration of 20nM: Non-Targeting siRNA oligo #1 (NT1) (ONTARGETplus: NT1; 5’-UGGUUUACAUGTCGACUAA-3’) and VPS35 (SMARTpool ONTARGETplus VPS35 siRNA oligo#5: 5’-GAACAUAUUGCUACCAGUA-3’; oligo#6: 5’-GAAAGAGCAUGAGUUGUUA-3’; oligo#7: 5’-GUUGUAAACUGUAGGGAUG-3’; oligo#8: 5’-GAACAAAUUUGGUGCGCCU-3’) from Dharmacon. Human neuroblastoma SH-SY5Y cells were cultured in DMEM supplemented with 10% FBS (Thermo Scientific) and 1:100 penicillin/streptomycin at 37 °C. 300,000 cells were seeded in a 6 well-plate and incubated overnight under serum starvation. The following day, medium was removed, replaced by fresh DMEM and cells were transfected with 1 μg of FLAG-Ub, 1 μg of YFP-VPS35 together with 1 μg of pcDNA3.1 (control) or 1 μg of hParkin or 1 μg of hParkin (C431S) using Lipofectamine 3000 (Invitrogen) for 72 h according to manufacturer’s instruction.

GFP beads pull-down assay

Transfected cells were lysed in 500 μl of lysis buffer [50 mM TrisHCl pH 7.5, 150 mM NaCl, 1 mM EDTA, 0.5% Triton, 1 × Protease Inhibitor cocktail (Roche Applied Science), 50 mM N-ethylmaleimide (NEM, from Sigma)] and collected for centrifugation at 14,000 × g for 10 min. The supernatant was mixed with 25 μL of GFP-Nanotrap beads (Chromotek GmbH) that had been pre-washed with dilution buffer (10 mM TrisHCl pH 7.5, 150 mM NaCl, 0.5 mM EDTA, 1 × Protease Inhibitor cocktail, 50 mM NEM). The mixture was incubated at RT for 150 min with gentle rolling and centrifuged for 2,700 × g for 2 min. The supernatant was removed and the beads washed once with dilution buffer, three times with washing buffer (8 M Urea, 1% SDS in PBS) and once with 1% SDS in 1× PBS. The bound proteins were eluted with sample loading buffer (250 mM TrisHCl pH 7.5, 40% glycerol, 4% SDS, 0.2% BPB) by heating at 95 °C for 10 min. Eluted samples were run into 4–15% TrisGlycine gels.

Western blotting and silver staining

For fly samples the amount of sample loaded largely was equivalent to one head per lane but was optimized for each antibody. Generally, 4–15% gradient TGX gels (Bio-Rad) were used and proteins were transferred to PVDF membranes using the iBlot system (Invitrogen). Following primary and secondary antibody incubation, membranes were developed using ECL kit (Biorad Clarity). Alternatively, western blots were scanned using the LI-COR Odyssey system (LI-COR Biosciences). Silver staining was performed with a SilverQuest kit (Invitrogen) following the manufacturer’s instructions. Dual-colour westerns were prepared by assigning independent colour channels to two independent westerns developed in the same membrane.

BioUb pulldown

The BioUb pulldown was performed as previously described [39, 40, 43] using GMR-GAL4,UAS-( Ub) -BirA/CyO; UAS-Parkin , GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin , GMR-GAL4/CyO;UAS-BirA/TM6 and GMR-GAL4, UAS-( Ub) -BirA/CyO flies. Briefly, 2–5 day old adult flies were fragmented by flash freezing in liquid nitrogen and shaking. A pair of sieves with a nominal cut-off of 710 and 425 μm was used to separate the heads from the rest of the fragments. About 0.5 g of heads were homogenized in 2.9 mL Lysis buffer (8 M Urea, 1% SDS and 50 mM N-ethylmaleimide in PBS, including a protease inhibitor mixture from Roche Applied Science). 250 μL of NeutrAvidin-agarose beads (Thermo Scientific) were used to purify BioUbiquitinated material and after stringent washes with a succession of buffers containing 8.4 M urea, 6 M Gdn-HCl, 1 M NaCl and 2%SDS, beads were finally eluted with 125 μL Elution Buffer (4X Laemmli Buffer and 100 mM of DTT). Recovered volume was ~150 μL with an average yield of 20–40%.

Mass spectrometry

Eluted samples from three different experiments were briefly run on a SDS-PAGE, which was then cut in four slices, to separate the avidin band from the other proteins in the gel. Proteins were digested using automated in-gel digestion protocol [50]. The digested peptides were cleaned-up on Stage-tips [51]. The eluted peptides were resuspended in 0.1% formic acid and separated on a 15 cm reverse phase column (75 μm inner diameter, 3 μm reprosil beads, Dr. Maisch, GmbH, in house packed) using 5 to 50% acetonitrile gradient (VWR). Peptide ionization was performed on a Proxeon ionsource and sprayed directly into the mass spectrometer (Q-Exactive, Thermo Scientific). The MS was recorded with mass resolution of 60000, while the MS2 spectra were collected with a resolution of 35000 using a fixed fill time of 120 ms. For the analysis of the recorded mass spectra the MaxQuant software package (version 1.2.2.5) was used with 1% FDR for both peptides and proteins [52]. Searches were performed using the Andromeda search engine against the Uniprot Drosophila melanogaster database (downloaded 15.08.2015). As a fixed modification, cysteine carbamidomethylation was selected and as variable modifications, methionine oxidation, protein N-terminal acetylation and di-glycine addition on the ε-aminogroup of lysines. Two missed trypsin (full specificity) cleavages were allowed and the MaxQuant label free quantification for proteins was activated. The identified ubiquitination sites were checked visually using the Max-Quant View program and identification artefacts were removed as previously described [53].

Ubiquitin chain linkage quantification

Samples from three technical replicates were loaded on an 8% stacking gel and proteins compressed in one band. Proteins were digested in-gel using trypsin, and purified as described above. The peptides were separated on a 25 cm reverse phase column (75 μm inner diameter, 3 μm reprosil beads, Dr. Maisch, GmbH, in house packed) using 5 to 50% acetonitrile gradient (VWR). The peptides were ionized on a Nano3 ion source (ABSciex) and directly sprayed into a QTRAP 5500 triple-quadrupole mass spectrometer, run in MRM mode to detect branched ubiquitin peptides and their synthetic isotopically labelled counterparts [54, 55]. Each sample was injected as technical triplicates. Two transitions for each peptide, i.e., K6, K11, K48, K63, were acquired. After the measurement peaks were integrated and light/heavy ratios calculated using the Skyline software package [56] reflecting the abundance of the linkage type compared to the internal heavy standard.

Bioinformatic and statistical analysis

Non-ubiquitinated/background proteins were excluded by a 4-fold change threshold of the average LFQ intensity between BioUb, BioUb + ParkinWT or BioUb + ParkinLD against the BirA sample. LFQ intensity values of ubiquitinated proteins were imported to Perseus software (http://www.perseus-framework.org/) and the imputation tool was used to replace missing values. Subsequently, values were grouped in categories and two T-tests were performed: BioUb + ParkinWT vs BioUb and BioUb + ParkinWT vs BioUb + ParkinLD. Proteins with a p-value smaller than 0.05 and a fold change bigger or smaller than 2 in any of these two tests were selected for further filtering. Proteins with less than two unique peptides in all the three BioUb + ParkinWT (enriched) and BioUb + ParkinLD (reduced) were excluded. To further exclude false positives, all unique peptide profiles of these proteins were analysed. Peptides that appeared only in one condition were excluded and the average peptide intensity was calculated for each peptide in each condition. On the one hand, average of all peptide intensities between BioUb + ParkinWT vs BioUb or BioUb + ParkinLD were calculated and only the proteins whose total fold change was bigger (enriched) or smaller (reduced) than two were further selected. On the other hand, the average of all fold changes of peptide intensities between BioUb + ParkinWT vs BioUb or BioUb + ParkinLD minus the SEM (Standard Error of the Mean) was required to be bigger or smaller than two. Only the proteins that successfully passed all the tests were selected as: Parkin substrates (35) and less ubiquitinated in a Parkin - dependent manner (2). A two sample T-Test for Parkin proteomics was performed using Perseus software applying default parameters: t-test; S0; Side = both; threshold p-value = 0,05. Imputation tool was used as default: width = 0,3; down shift = 1,8; mode = separately for each column. Other statistical analysis was performed with Graphpad Prism6. For the GO Term identification g:Cocoa tool of g:Profiler web server was used using archive “Ensembl 79, Ensembl Genomes 26 (r1395)”. p-values are indicated as *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001. Functional connectivity analysis was performed using STRING (http://string-db.org/) web tool. For GFP pull-downs protein bands were analysed and quantified by densitometry using ImageJ software. Statistical significance in Western blotting quantification was evaluated using an analysis of variance (ANOVA) complemented by Tukey’s honest significance difference test (Tukey’s HSD) performed in GraphPad PRISM software. Statistical significance levels are annotated as ns, not significant; **, p < 0.01 (mean ± SEM, n = 4).

Results

Excessive Parkin activity in developing neurons causes climbing defects and reduced life span

In order to study Parkin E3 ubiquitin ligase activity in Drosophila neurons, we over-expressed FLAG-ParkinWT (Fig. 1a) and a catalytically inactive or ligase-dead mutant, FLAG-ParkinLD, using the neuronal specific elav-GAL4 driver (Fig. 1b). As expected, heterozygous FLAG-Parkin flies expressed lower Parkin levels compared to homozygous Parkin flies (Fig. 1c, Additional file 1: Figure S1A). Neuronal over-expression of ParkinWT during Drosophila development compromises climbing ability of the fly in an age and dose-dependent manner, mirroring the phenotype of Parkin null flies (Fig. 1d, Additional file 1: Figure S1B). Expression of a ligase-dead form of Parkin generates a much milder climbing impairment. The N-terminal FLAG tag did not contribute to this behaviour as both untagged ParkinWT and 8HA-ParkinWT flies display the same phenotype (Additional file 1: Figure S1C). High-level expression of ParkinWT also led to a decreased life span (Fig. 1e) and, in distinction to ParkinLD flies, ParkinWT flies displayed a Parkinsonian phenotype, suffering from tremors and spontaneous spasms (Additional file 12: Video S1).
Fig. 1

Parkin over-expression in developing neurons causes severe climbing defects and premature death in Drosophila melanogaster. a Domain structure of Drosophila melanogaster Parkin, cloned with a N-terminal FLAG tag. The catalytic cysteine (C449), marked with an asterisk, was mutated to serine to generate a Ligase-Dead (LD) Parkin mutant. b L3 larva showing GFP over-expression pattern in developing neurons using the elav-GAL4 driver. c Anti-Parkin western blot showing Parkin levels in flies over-expressing one copy (ParkinWT/+ and ParkinLD/+) or two copies of FLAG-tagged WT (ParkinWT) and LD Parkin (ParkinLD), using elav-GAL4. GFP over-expression was used as a control. Four-fold less sample was loaded for ParkinWT and ParkinLD. d Climbing assay of stated genotypes at 5–8 and 17–20 days after eclosion. Parkin null (park ) flies were used as a negative control. Stars indicate 0% climbing ability and a skull represents complete death at the particular time point. Three technical replicates were performed with three biological replicates of each genotype and age. Columns represent average values and error bars show standard error of the mean (SEM). e Survival assay of stated genotypes. Survival graphs represent % of alive flies at each time point. Statistical significance was assessed by two-tailed paired Student’s-t test. Asterisk(s) indicate significance, *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001. Complete genotypes of flies used: elav-GAL4,UAS-GFP/CyO (GFP), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinWT/+), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinLD/+), elav-GAL4/CyO;UAS-Parkin (ParkinWT), elav-GAL4/CyO;UAS-Parkin (ParkinLD) and park (Parkin null)

Parkin over-expression in developing neurons causes severe climbing defects and premature death in Drosophila melanogaster. a Domain structure of Drosophila melanogaster Parkin, cloned with a N-terminal FLAG tag. The catalytic cysteine (C449), marked with an asterisk, was mutated to serine to generate a Ligase-Dead (LD) Parkin mutant. b L3 larva showing GFP over-expression pattern in developing neurons using the elav-GAL4 driver. c Anti-Parkin western blot showing Parkin levels in flies over-expressing one copy (ParkinWT/+ and ParkinLD/+) or two copies of FLAG-tagged WT (ParkinWT) and LD Parkin (ParkinLD), using elav-GAL4. GFP over-expression was used as a control. Four-fold less sample was loaded for ParkinWT and ParkinLD. d Climbing assay of stated genotypes at 5–8 and 17–20 days after eclosion. Parkin null (park ) flies were used as a negative control. Stars indicate 0% climbing ability and a skull represents complete death at the particular time point. Three technical replicates were performed with three biological replicates of each genotype and age. Columns represent average values and error bars show standard error of the mean (SEM). e Survival assay of stated genotypes. Survival graphs represent % of alive flies at each time point. Statistical significance was assessed by two-tailed paired Student’s-t test. Asterisk(s) indicate significance, *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001. Complete genotypes of flies used: elav-GAL4,UAS-GFP/CyO (GFP), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinWT/+), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinLD/+), elav-GAL4/CyO;UAS-Parkin (ParkinWT), elav-GAL4/CyO;UAS-Parkin (ParkinLD) and park (Parkin null)

Parkin substrate identification in adult Drosophila neurons

We recently introduced a pipeline for the identification of ubiquitinated proteins in a fly model that constitutively expresses biotinylated ubiquitin (BioUb). Here, we have applied this approach to identify physiologically relevant Parkin substrates in adult Drosophila neurons (Fig. 2a). BioUbiquitin together with either ParkinWT (WT) or ParkinLD (LD) was over-expressed in Drosophila photoreceptors, a specialised type of neuron, using GMR-GAL4 driver (Fig. 2b). Flies over-expressing just BirA (C) and BioUbiquitin (Ub) were used as background control and steady state ubiquitination control respectively. Endogenous deubiquitinating enzymes (DUBs) digest the BioUbiquitin construct releasing BirA (Fig. 2c) and ubiquitin. Each ubiquitin contains a short N-terminal sequence, which is then recognised and biotinylated by BirA, resulting in a biotin-tagged ubiquitin (BioUb) that is efficiently handled by the cascade of ubiquitin conjugating enzymes (Fig. 2d) [39-43]. BioUb conjugates were isolated on Neutravidin beads (Fig. 2e, f) and subsequently identified by Mass Spectrometry (MS).
Fig. 2

Proteomic analysis of Parkin substrates in Drosophila melanogaster neurons. a Scheme of the strategy used to identify proteins ubiquitinated by Parkin in Drosophila neurons. FLAG-tagged Parkin WT or LD flies also expressed biotin modified ubiquitin (BioUb) in Drosophila photoreceptors using GMR-GAL4 driver (image shows GFP expression with GMR-GAL4 in an adult fly head). BioUbiquitinated material was purified using Neutravidin beads and isolated material was analysed by Mass Spectrometry (MS). Ubiquitinated proteins enriched in Parkin WT over-expressing neurons were then identified based both on protein LFQ levels and peptide intensities. b Anti-Parkin immunoblotting shows Parkin levels in head extracts of GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD) flies. Parkin null (park ) flies were used as a negative control. WT and LD samples were diluted 100 times. c Anti-BirA western blot of C, Ub, WT and LD heads extracts. d Anti-Biotin western blot of C, Ub, WT and LD heads extracts. e C, Ub, WT, LD fly heads were subjected to BioUb pulldown. Input (1/100), Flowthrough (FT, 1/100) and Elution (1/400) were immunoblotted for biotin. f Silver staining of C, Ub, WT, LD BioUb pulldown elutions (undiluted). In panels B through F, arrowheads indicate ectopic Parkin; arrow indicates endogenous Parkin; smear highlighted by the brace represents BioUbiquitinated material; and the asterisk shows an endogenously biotinylated protein

Proteomic analysis of Parkin substrates in Drosophila melanogaster neurons. a Scheme of the strategy used to identify proteins ubiquitinated by Parkin in Drosophila neurons. FLAG-tagged Parkin WT or LD flies also expressed biotin modified ubiquitin (BioUb) in Drosophila photoreceptors using GMR-GAL4 driver (image shows GFP expression with GMR-GAL4 in an adult fly head). BioUbiquitinated material was purified using Neutravidin beads and isolated material was analysed by Mass Spectrometry (MS). Ubiquitinated proteins enriched in Parkin WT over-expressing neurons were then identified based both on protein LFQ levels and peptide intensities. b Anti-Parkin immunoblotting shows Parkin levels in head extracts of GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD) flies. Parkin null (park ) flies were used as a negative control. WT and LD samples were diluted 100 times. c Anti-BirA western blot of C, Ub, WT and LD heads extracts. d Anti-Biotin western blot of C, Ub, WT and LD heads extracts. e C, Ub, WT, LD fly heads were subjected to BioUb pulldown. Input (1/100), Flowthrough (FT, 1/100) and Elution (1/400) were immunoblotted for biotin. f Silver staining of C, Ub, WT, LD BioUb pulldown elutions (undiluted). In panels B through F, arrowheads indicate ectopic Parkin; arrow indicates endogenous Parkin; smear highlighted by the brace represents BioUbiquitinated material; and the asterisk shows an endogenously biotinylated protein

Mass Spectrometry analysis of Parkin - dependent ubiquitination identified novel putative Parkin substrates in Drosophila neurons

Three independent experiments were performed for each condition (Additional file 2: Figure S2A), generating 1522 protein identifications by mass spectrometry (Additional file 9: Table S1). After background subtraction of the BirA control, 1132 proteins were classed as ubiquitinated by virtue of their enrichment (Fig. 3a). Most of the ubiquitinated proteins were identified in each of the three different conditions (Fig. 3b), suggesting that the ectopic expression of Parkin does not perturb the overall global ubiquitin economy. In fact, the number of proteins detected to be ubiquitinated in each pulldown was very similar across all samples (Additional file 3: Figure S3A) and Label Free Quantification (LFQ) values of independent pulldowns were highly correlated (Additional file 4: Figure S4). For proteins not directly quantitated in one experimental condition (LFQ = 0) we used the Perseus imputation tool to assign an arbitrary value within the lower detection range (Additional file 3: Figure S3B).
Fig. 3

Characteristics of the data set. a Three independent BioUb pulldowns were performed for each condition generating 1522 protein identifications by mass spectrometry of which 1132 were considered to be ubiquitinated by imposing a threshold of four-fold change in LFQ intensity relative to BirA control. b Venn diagram shows the overlap between proteins identified as ubiquitinated under different conditions, indicating that Parkin expression does not dramatically alter the global ubiquitome

Characteristics of the data set. a Three independent BioUb pulldowns were performed for each condition generating 1522 protein identifications by mass spectrometry of which 1132 were considered to be ubiquitinated by imposing a threshold of four-fold change in LFQ intensity relative to BirA control. b Venn diagram shows the overlap between proteins identified as ubiquitinated under different conditions, indicating that Parkin expression does not dramatically alter the global ubiquitome Fifty-six proteins were discovered to be both more than 2-fold enriched and reach a significance of p < 0.05 (Perseus T-test, see Materials and Methods). In contrast, 30 proteins were reduced (using the same criteria) in purified ubiquitinated material from ParkinWT over-expressing neurons compared to controls (Fig. 4, Additional file 6: Figure S6A). We next applied a further set of criteria to select the most robust Parkin responders (35 enriched, two reduced). These all provide at least two unique peptides in all three biological replicates and display a fold change bigger than two as average of all unique peptides (see Materials and Methods). Seven of the 35 enriched proteins are annotated as mitochondrial proteins, 12 as cytosolic and 13 as part of endomembrane system according to UNIPROT database (http://www.uniprot.org/) (Table 1, Additional file 10: Table S2). These include three sub-units of the v-ATPase required for endosome and lysosomal acidification, two proteins associated with the endosomal sorting complexes required for transport (ESCRT) machinery (ALiX, Vps4) and the PD-associated retromer component, Vps35. The membrane receptor NinaE (Opsin/Rhodopsin homolog) and the cytosolic calcium binding protein, Cbp53E are robustly, less ubiquitinated in a Parkin E3 ubiquitin ligase activity dependent manner.
Fig. 4

Distribution of ubiquitinated proteins according to Parkin catalytic activity. Volcano plot showing the outcome of the ParkinWT vs ParkinLD T-test performed with Perseus. Proteins are distributed along x axis by fold change of LFQ intensity and y axis by p-value. Proteins in bold, represent the most robust Parkin responders (35 enriched and 2 reduced - Table 1) whose LFQ change at the protein level is also coherently detected at the peptide level (Additional file 5: Figure S5)

Table 1

The most robust Parkin responders identified in Drosophila neurons

Proteins that are significantly more (green) and less (red) enriched in purified ubiquitinated material in a Parkin-dependent manner are shown in this table. Fold change refers to ParkinWT vs ParkinLD ratio in natural scale. Unique peptides found in the whole proteomic analysis are indicated. Human homolog genes were identified using g:Orth tool of web server g:Profiler. Cellular Compartment (CC) information was obtained from UniProt and is based on the human homolog. Cytosolic (Cyt), Mitochondrial (Mit), Endomembrane system (End), Extracellular (Ext), Peroxisomal (Per), Nuclear (Nuc) and Plasma Membrane (PM). Bold proteins represent known substrates and underlined proteins have been previously detected as more ubiquitinated in Parkin samples in previous Parkin proteomic studies in cell culture [37, 38]. *Cellular Compartment depends on the selected human homolog

Distribution of ubiquitinated proteins according to Parkin catalytic activity. Volcano plot showing the outcome of the ParkinWT vs ParkinLD T-test performed with Perseus. Proteins are distributed along x axis by fold change of LFQ intensity and y axis by p-value. Proteins in bold, represent the most robust Parkin responders (35 enriched and 2 reduced - Table 1) whose LFQ change at the protein level is also coherently detected at the peptide level (Additional file 5: Figure S5) The most robust Parkin responders identified in Drosophila neurons Proteins that are significantly more (green) and less (red) enriched in purified ubiquitinated material in a Parkin-dependent manner are shown in this table. Fold change refers to ParkinWT vs ParkinLD ratio in natural scale. Unique peptides found in the whole proteomic analysis are indicated. Human homolog genes were identified using g:Orth tool of web server g:Profiler. Cellular Compartment (CC) information was obtained from UniProt and is based on the human homolog. Cytosolic (Cyt), Mitochondrial (Mit), Endomembrane system (End), Extracellular (Ext), Peroxisomal (Per), Nuclear (Nuc) and Plasma Membrane (PM). Bold proteins represent known substrates and underlined proteins have been previously detected as more ubiquitinated in Parkin samples in previous Parkin proteomic studies in cell culture [37, 38]. *Cellular Compartment depends on the selected human homolog Trypsin treatment of ubiquitinated proteins leaves a di-Gly signature residue at the ubiquitination site. Although the majority of peptides we use for quantitation are not themselves ubiquitinated, we have captured a set of 111 ubiquitinated peptides (Additional file 11: Table S3). Such di-Gly peptides were detected for five of the Parkin substrates identified as described above (Cisd2, EIF2B-beta, Pdh, Porin and SesB) and for the two proteins that were less ubiquitinated in a Parkin context (NinaE and Cbp53E) (Fig. 5). Di-Gly peptides corresponding to the following ubiquitination sites, Cisd2 K83, EIF2B-beta K30, Pdh K40, Porin K52 and SesB K120 were enriched in ParkinWT over-expressing flies. However, Pdh K85 was found in a Parkin-independent manner, as similar intensities were detected in all samples. Di-Gly peptides for Cbp53E K262 and NinaE K372 were reduced in ParkinWT flies. Moreover, 3 di-Gly peptides within Parkin itself were also detected that showed differing enrichment patterns. K35 was more ubiquitinated in ParkinWT compared to both ParkinLD and control. K40 was similarly ubiquitinated in ParkinWT and ParkinLD, but not in control and K128 was much more ubiquitinated in ParkinLD compared to ParkinWT and control.
Fig. 5

Peptide profile of robust Parkin responders encompassing a Di-Gly peptide. Di-Gly peptides were detected for 5 of the Parkin substrates identified: Cisd2, EIF2B-beta, Pdh, Porin and SesB. Moreover, Cbp53E and NinaE, whose ubiquitination robustly decreases in a Parkin E3 ubiquitin ligase activity dependent manner, also provided a di-Gly peptide. Three ubiquitination sites were also detected in Parkin itself. The graph represents the peptide intensity of all the unique peptides that were assigned to the indicated protein in each condition (grey dots). Di-Gly peptides are shown in blue and the average peptide intensity in red

Peptide profile of robust Parkin responders encompassing a Di-Gly peptide. Di-Gly peptides were detected for 5 of the Parkin substrates identified: Cisd2, EIF2B-beta, Pdh, Porin and SesB. Moreover, Cbp53E and NinaE, whose ubiquitination robustly decreases in a Parkin E3 ubiquitin ligase activity dependent manner, also provided a di-Gly peptide. Three ubiquitination sites were also detected in Parkin itself. The graph represents the peptide intensity of all the unique peptides that were assigned to the indicated protein in each condition (grey dots). Di-Gly peptides are shown in blue and the average peptide intensity in red

Parkin preferentially generates K6 ubiquitin chains in Drosophila neurons

Ubiquitin chains can be assembled through isopeptide bonds with any of the seven internal lysine residues. Each linkage type generates a unique peptide signature upon trypsin digestion that can be discriminated by mass spectrometry and quantitated by comparison with isotopically labelled standard [55]. We adopted this strategy to identify the linkage types of the ubiquitin chains that are generated by Parkin over-expression in vivo, by analysis of isolated BioUb material. As judged by western blotting neither the overall pattern of ubiquitination nor the total amount of ubiquitinated material were altered by ParkinWT over-expression in Drosophila neurons (Fig. 6a). The same conclusion can be obtained based on the Venn diagrams that compare the ubiquitomes identified upon Parkin over-expression with the control samples (Fig. 3b). However, we find a marked increase in the representation of K6 linked ubiquitin chains in ParkinWT compared to control BioUb and ParkinLD samples (Fig. 6b, Additional file 6: Figure S6B).
Fig. 6

Parkin preferentially generates K6 ubiquitin chains. a C, Ub, WT, LD heads were subjected to BioUb pulldown and inputs and elutions were immunoblotted for ubiquitin. b C, Ub, WT, LD fly heads were subjected to BioUb pulldown and signature ubiquitin chain peptides were quantitated by comparison with isotopically labelled standards using mass spectrometry. Graph shows fold change of ubiquitin chain linkages found in ParkinWT vs BioUb. Error bars indicate standard deviation of three technical replicates. Complete genotypes of flies used: GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD)

Parkin preferentially generates K6 ubiquitin chains. a C, Ub, WT, LD heads were subjected to BioUb pulldown and inputs and elutions were immunoblotted for ubiquitin. b C, Ub, WT, LD fly heads were subjected to BioUb pulldown and signature ubiquitin chain peptides were quantitated by comparison with isotopically labelled standards using mass spectrometry. Graph shows fold change of ubiquitin chain linkages found in ParkinWT vs BioUb. Error bars indicate standard deviation of three technical replicates. Complete genotypes of flies used: GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD)

Validation of Parkin candidate substrates

We sought to validate ubiquitination of selected Parkin substrates by direct western blotting of proteins for which antibodies were available. For ArgK, RdhB and Vps4 we observe a fraction that is uniformly upshifted to a degree consistent with monoubiquitination in a manner that is stringently dependent on Parkin activity (Fig. 7a). In contrast, Fax, a protein that was not specifically enriched following Parkin expression in the mass spectrometry data set, is indiscriminately ubiquitinated in all samples (Fig. 7b). Parkin is enriched largely in an unmodified form in the eluates of flies over-expressing Parkin (Fig. 7c). This likely represents Parkin that is captured by virtue of a thioester-bonded ubiquitin at its active site cysteine, which is then released by the reducing conditions of the subsequent processing steps. The residual minor ubiquitinated fraction is linked via isopeptide bonds, suggesting that a small fraction of Parkin is itself ubiquitinated.
Fig. 7

WB validation of in vivo Parkin substrates. C, Ub, WT, LD fly heads were subjected to BioUb pulldown and Inputs and Elutions were immunoblotted for a RdhB, ArgK and Vps4; b Fax; c Parkin. WT and LD input and elution samples were diluted 50 and 25 times, respectively. Arrowheads show unmodified protein and arrows indicate ubiquitinated protein. Asterisks indicate unspecific bands. Complete genotypes of flies used: GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD)

WB validation of in vivo Parkin substrates. C, Ub, WT, LD fly heads were subjected to BioUb pulldown and Inputs and Elutions were immunoblotted for a RdhB, ArgK and Vps4; b Fax; c Parkin. WT and LD input and elution samples were diluted 50 and 25 times, respectively. Arrowheads show unmodified protein and arrows indicate ubiquitinated protein. Asterisks indicate unspecific bands. Complete genotypes of flies used: GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD) Parkin-dependent Vps35 ubiquitination could not be validated in flies by western blotting, due to the lack of available working antibodies for Drosophila Vps35. We instead performed in human cells an in vivo ubiquitination assay we recently developed [42, 43, 57, 58]. The main advantage of this method is that, due to the very stringent washes performed, the entire ubiquitin signal detected corresponds exclusively to the protein of interest and cannot be derived from other proteins in the cell. We tested this assay on SH-SY5Y neuroblastoma cells, which allowed us to further test whether Parkin-dependent ubiquitination of VPS35 is conserved in human cells. SH-SY5Y cells were transfected with YFP-VPS35, FLAG-Ub and either WT or LD untagged human Parkin. Cells were then subjected to a GFP pulldown and the eluted samples monitored by Western blotting in order to compare ubiquitination levels of VPS35 across the different samples (Fig. 8a, Additional file 7: Figure S7). Since the ubiquitination signal proceeds only from YFP-VPS35, quantification of the data (Fig. 8b) is provided as ratios of the ubiquitin signal (monitored through the anti-Flag western) over the VPS35 intensity (monitored through the anti-GFP western). A significant increase in the ubiquitinated fraction of VPS35 was observed when WT Parkin was co-expressed, relative to either control (only endogenous Parkin or LD Parkin co-expression). Human Parkin and VPS35 interaction: VPS35 is ubiquitinated by wild type Parkin in human cells. a VPS35 is ubiquitinated by untagged WT Parkin in SH-SY5Y cells. YFP-VPS35 showed a significant increase in its ubiquitinated fraction when it is over-expressed with wild type untagged hParkin (WT), as shown with anti-FLAG (to FLAG-Ub) antibody Western blot (red) compared to control (C) or the single point (C431S) mutated hParkin (LD). The non-modified form of VPS35 was detected by GFP antibody (green). The bottom panel shows levels of Parkin protein in the whole cell extract before the isolation of the GFP-tagged proteins. The endogenous Parkin protein is barely detected. b Quantification of the ubiquitination status of VPS35 relative to the non-modified form was performed calculating the ratio FLAG:GFP with Image-J. The plot shows relative levels of VPS35 ubiquitination normalized to the GFP levels. Statistical significance in Western blotting semi-quantification was evaluated using an analysis of variance (ANOVA) complemented by Tukey’s honest significance difference test (Tukey’s HSD) performed in GraphPad PRISM software. Statistical significance differences (**, p < 0.01 (mean ± SEM, n = 4)) were observed for the WT Parkin sample relative to both control and LD Parkin samples. For LD Parkin sample ns indicates not significant differences relative to the control sample. c VPS35 knockdown does not affect Parkin - dependent mitophagy. hTERT-RPE1 cells stably over-expressing YFP-Parkin were subjected to control and VPS35 siRNA for 72 h or 165 h and treated with 10 μM CCCP for 2, 8 and 24 h. Samples were immunoblotted as indicated. High exp: high exposure

VPS35 knockdown does not affect Parkin - dependent mitophagy in YFP-Parkin expressing RPE1 cells

Our results confirm a linkage between Parkin and the PD-associated protein VPS35, which has been previously revealed by genetic studies [59]. Both the proteomic data and the in vivo ubiquitination assay coupled to subsequent western blot validation suggest that VPS35 may be a substrate of Parkin, in line with previous studies that analysed Parkin substrates following acute mitochondrial depolarisation [38]. The mechanism that links VPS35 to PD is unclear, although recent evidence indicates that VPS35 regulates mitochondrial homeostasis by regulating fission-fusion dynamics [60, 61] and the trafficking of mitochondrial-derived vesicles (MDV) [62, 63]. We and others have recently used retinal pigment epithelial cells (RPE1) that stably over-express YFP-Parkin as a convenient system for analysis of Parkin-dependent mitophagy [32, 49]. We tested whether VPS35 is necessary for PINK1/Parkin - dependent mitophagy in these cells following acute mitochondrial depolarisation. However, siRNA-mediated knockdown of VPS35 had no effect upon mitophagy as judged by the time-dependent loss of several mitochondrial marker proteins (Fig. 8c).

Discussion

Parkin regulates a delicate balance between survival and cell death

Our finding that neuronal Parkin over-expression during neurodevelopment leads to multiple Parkinsonian-like defects conflicts with the simple notion that Parkin is neuroprotective [29]. However, recent cell culture and in vivo studies have shown that Parkin activity can also sensitize towards cell death in certain contexts [30-33]. We observed that the severity of Parkin over-expression phenotype is associated with its E3 ubiquitin ligase activity in a dosage dependent manner, which is further augmented during aging. Nevertheless, the fact that flies over-expressing ParkinLD still have a mild phenotype, suggests that this mutant shows a dominant-negative effect that is not linked to the ligase function. Further in vivo experiments are necessary to unravel Parkin function at different developmental stages in different tissues.

Functional roles of identified substrates

Identification of Parkin substrates is crucial in order to comprehend the still elusive aetiology of PD. While early studies stressed the notion that Parkin ubiquitinates and degrades several aggregation-prone toxic proteins, currently Parkin is mainly associated with mitophagy, through ubiquitination of several OMM proteins [35, 36, 64–66]. Parkin is predominantly held in an inactive conformation at steady state [20] and PINK1 dependent phosphorylation of both ubiquitin and Parkin is necessary for its activation [19-25]. Mitochondrial depolarisers have been proven to efficiently activate Parkin through PINK1 accumulation, but most cell lines show low levels of Parkin, precluding detectable levels of Parkin-dependent mitophagy and ubiquitination. Moreover, the ubiquitinated fraction of proteins is usually low due to their fast proteasomal degradation and/or the activity of deubiquitinating enzymes (DUBs) [67]. Therefore, most studies have been performed under conditions of Parkin over-expression using non-neuronal in vitro cell culture models, usually employing proteasome inhibitors and mitochondrial depolarisers. However, these acute conditions are not encountered in physiological settings. In the present study we have sought for in vivo Parkin substrates in Drosophila neurons, using a fly model that co-expresses constitutively biotinylated ubiquitin together with FLAG-tagged Parkin. While it has been shown that tagging human Parkin can lead to some constitutive activation [68], Drosophila Parkin has an extended N-terminal sequence relative to the human protein and addition of a further short sequence tag is not predicted to impact on the structure (Additional file 8: Figure S8). If such a scenario was extant, it would simply shift an equilibrium and potentially allow more sensitive detection of Parkin substrates without the recourse to acute drug treatments used in previous studies [27, 34, 36–38]. Treatments with mitochondrial depolarising drugs will lead to PINK1 accumulation and activation of Parkin specifically at mitochondria. Our study provides a complementary resource, which may capture some Parkin substrates that are PINK1-independent. The notion of alternative activation routes for Parkin has been previously proposed [69] and it is supported by data suggesting a role for Parkin in xenophagy that might be PINK1-independent [70]. We identified 37 proteins whose ubiquitination pattern changes in a Parkin E3 ubiquitin ligase activity dependent manner. 35 proteins were enriched and 2 were reduced in purified ubiquitinated material of Parkin over-expressing head extracts (Fig. 9). Western blot validation of proteins for which Drosophila antibodies were available confirmed several of these proteins as authentic in vivo Parkin substrates. A number of mitochondrial proteins were identified, including proteins known to be ubiquitinated during mitophagy, such as Cisd2/CISD1,2 (MitoNEET), Porin/VDAC1,2,3 and Tom70 [27, 34, 36–38, 71]. Nevertheless, in comparison to other recent Parkin proteomic studies, our Parkin substrate data set shows less enrichment of mitochondrial proteins, probably reflecting the lack of acute mitochondrial depolarization [27, 34, 37, 38]. Whilst some of the mitochondrial proteins are ultimately matrix associated, they are synthesised in the cytosol and imported through the TIM/TOM complex providing the opportunity to encounter cytosolic Parkin. Interestingly, the presence of ubiquitinated proteins within the yeast mitochondrial matrix has recently been reported [72]. In fact, a recent paper suggested that Parkin ubiquitinates and regulates the stability of the mitochondrial matrix enzyme 17-β hydroxysteroid dehydrogenase type 10 (HSD17B10) [73]. Further proteins previously detected also include Sply/SGPL1, VPS4, VPS35, ALiX/PDCD6IP and CG5525/CCT4 [37, 38]. To our knowledge, the remaining 27 enriched proteins are novel Parkin substrates, which are predominately cytosolic and endosomal proteins. Inversely, NinaE/Opsin, Rhodopsin and Cbp53E/Calbindin were reduced in purified ubiquitinated material after Parkin over-expression indicating that Parkin can indirectly regulate the ubiquitination status of these proteins. It is also plausible that Parkin-dependent ubiquitination followed by rapid degradation result in reduced protein levels leading to decreased ubiquitination status of these substrates. Importantly, decreased calbindin mRNA and protein levels are linked to neurodegeneration in PD [74-77].
Fig. 9

Functional connectivity of the most robust Parkin responders identified in Drosophila neurons. Cellular compartment representation of 35 enriched (green) and 2 reduced (red) human homolog proteins in purified ubiquitinated material from ParkinWT over-expressing Drosophila neurons (Table 1). STRING (http://string-db.org/) analysis based on experimental data shows the connectivity. Strength of dotted lines represents differential significance (darker lines show higher significance). Yellow circles indicate ParkinWT dependent ubiquitination sites identified in Drosophila proteins

Functional connectivity of the most robust Parkin responders identified in Drosophila neurons. Cellular compartment representation of 35 enriched (green) and 2 reduced (red) human homolog proteins in purified ubiquitinated material from ParkinWT over-expressing Drosophila neurons (Table 1). STRING (http://string-db.org/) analysis based on experimental data shows the connectivity. Strength of dotted lines represents differential significance (darker lines show higher significance). Yellow circles indicate ParkinWT dependent ubiquitination sites identified in Drosophila proteins The fact that there is no singular pathway controlled by substrates described here suggests that under in vivo physiological conditions Parkin may have broader roles beyond the control of mitophagy. For example, we note prominent representation of endosomal-associated proteins, including three sub-units of the v-ATPase required for endosome and lysosomal acidification, two proteins associated with the endosomal sorting complexes required for transport (ESCRT) machinery (ALiX/PDCD6IP, VPS4) and the PD-associated gene and retromer component VPS35. Moreover, proteins involved in protein synthesis, metabolic process, cell death, calcium signaling and immune response are also present (Additional file 10: Table S2). Further study of Parkin substrates will reveal whether they act in an unexplored common pathway.

Parkin monoubiquitinates substrates and preferentially generates K6 ubiquitin chains

A single ubiquitin can be attached to a unique (monoubiquitination) or several (multiple-monoubiquitination) lysine residues of substrate proteins. Ubiquitin can be generated from these stubs to form chains of different topologies (M-1, K6, K11, K27, K29, K33, K48, K63). This provides a complex “ubiquitin code” that regulates a myriad of biological processes. Whilst K48 regulates protein turnover, through proteasomal degradation, and K63 is mainly involved in endosomal trafficking and DNA repair, the function of the “non-canonical” chains is less well defined [78, 79]. Parkin has been reported to be able to promote monoubiquitination as well as multiple chain types such as K6, K11, K27, K48 and K63 ubiquitin chains in diverse contexts through interaction with different E2s [64, 80–83]. Moreover, Parkin has been shown to autoubiquitinate itself via K6 ubiquitin chains and the deubiquitinase USP8 has been suggested to remove these K6 chains to regulate Parkin stability and its recruitment to mitochondria [84]. Furthermore, USP15, USP30 and USP35 have been shown to deubiquitinate Parkin substrates and/or regulate mitophagy following acute mitochondrial depolarisation in cells [32, 38, 85, 86]. While USP15 has been reported to have a preference for K48 and K63 [85], USP30 has been reported to favour K6 chains disassembly [87]. In contrast to our earlier work using this same bioUb pulldown and Western blotting approach [39, 40, 42, 43], most of the specific proteins we have validated here by western blotting were found to be monoubiquitinated. This agrees with previous observations demonstrating that Parkin is able to generate monoubiquitinated conjugates [81, 82]. Our ubiquitin chain analysis showed that Parkin preferentially promotes K6 chain formation in contrast to some literature reports indicating that Parkin promotes a more diverse set (K6, K11, K48 and K63) after mitochondrial depolarisation [83, 88]. However, in line with our observations, recent ubiquitin chain analysis showed that K6 is preferentially formed in whole lysates from Parkin over-expressing HEK and SH-SY5Y cells after mitochondrial depolarisation [87].

Implications of Parkin-dependent VPS35 ubiquitination in neurodegeneration

Despite the fact that the exact molecular mechanism leading to PD is unclear, the set of genes linked to PD can be divided in two main pathways. Parkin, DJ-1, PINK1 and FBXO7 are linked to mitochondrial homeostasis [65, 66, 89, 90], while α-synuclein (SNCA), LRRK2, VPS35, EIF4G1 and ATP13A2 are involved in endosomal-lysosomal trafficking [7-9]. LRRK2, RAB7L1 and VPS35 have been shown to act in a common pathway [91, 92] and VPS35 has recently been shown to genetically interact with EIF4G1 in a pathway upstream of α-synuclein [93]. Furthermore, VPS35 impairment leads to lysosomal dysfunction and α-synuclein pathology [94, 95]. The finding that Parkin ubiquitinates VPS35 is of considerable interest, as it could represent a connection between mitochondrial homeostasis and endo-lysosomal pathways, unifying the PD-associated genes in a common network [96]. In fact, recent studies in Drosophila reported that Vps35 genetically interacts with parkin [59]. Our identification of VPS35 as a Parkin substrate strengthens this association. Moreover, VPS35 has been found to be involved in mitochondrial homeostasis [60, 61], therefore it is tempting to consider that Parkin-dependent ubiquitination of VPS35 may regulate mitophagy. However, our results show that Parkin-dependent mitophagy is not affected by VPS35 knockdown, suggesting that VPS35 is not an essential regulator of Parkin-dependent mitophagy in a mammalian cell system subjected to acute depolarisation. Nor do we see any changes in VPS35 levels following Parkin activation (Fig. 8c) or with control RPE-1 cells which do not express Parkin (not shown). Alternatively, Parkin - dependent-ubiquitination of VPS35 could be involved in the regulation of mitochondrial-derived vesicles (MDV), which have been reported to traffic defective mitochondrial proteins to peroxisomes and lysosomes in a more specific manner prior to the whole organelle impairment [62, 63, 97]. A further possibility is that Parkin ubiquitinates and regulates endo-lysosomal pathway components through the ubiquitination of several proteins, including VPS35 and others described here. During the preparation of this manuscript Parkin has been reported to modulate endo-lysosomal trafficking through Rab7 ubiquitination, but also to influence the distribution of VPS35 and the levels of the retromer cargo protein ci-M6PR [98]. Other recent papers have also linked Parkin to endo-lysosomal trafficking [99-102]. The involvement of endocytic trafficking in PD is gaining momentum with the finding that two main PD-associated genes, PINK1 and LRRK2, converge and lead to the phosphorylation of common Rab proteins, small GTPases involved in membrane trafficking [103-105]. Interestingly, both VPS35 and Parkin mutations are also associated with Alzheimer’s Disease (AD) [106-108]. VPS35 interacts with the amyloid precursor protein (APP) sorting receptor, SorL1, which is also an AD causing gene, to regulate APP processing and Aβ production [109-113]. Parkin has recently been identified as an AD risk gene [108] and decreased Parkin levels have been found in AD patient cerebrospinal fluids [114]. Remarkably, Parkin over-expression has been shown to ameliorate AD symptoms by increasing the clearance of amyloid loads [115, 116], which may suggest that defects in a common endo-lysosomal pathway are shared between PD and AD. In this scenario, Parkin may have a role in endosomal trafficking control through ubiquitination of VPS35, with a potential impact on both PD and AD. Certainly, further work is required in order to explore this hypothesis.

Conclusion

Constitutive expression of biotinylated ubiquitin has been proven to be a successful approach to study ubiquitination in vivo [39, 40, 43]. Here we extend this method to identify Parkin substrates in adult Drosophila neurons. We report 35 substrates, eight of which have been previously detected and 27 are novel. Notably we identified VPS35 as an in vivo Parkin substrate, both in flies and in human neuroblastoma SH-SY5Y cells, reinforcing a connection between mitochondrial homeostasis and endo-lysosomal pathways in PD and AD. Parkin over-expression in developing neurons causes severe climbing defects. A) Anti-Parkin and Syntaxin1A western blot of stated genotypes. Head extracts of flies over-expressing two copies of Parkin (ParkinWT and ParkinLD) were diluted 4 times. B) Whole climbing assay shown in Fig. 1d. Stars indicate 0% climbing ability and a skull represents complete death at the particular time point. C) GFP, Flag-ParkinWT, Flag-ParkinLD, untagged ParkinWT R1, ParkinWT R2, 8HA-Parkin WT/+ (one copy) and 8HA-Parkin WT (two copies) constructs were expressed with elav-Gal4. Climbing assay of stated genotypes was performed as well as western blot for Parkin and Syx1A. ParkinWT R1, ParkinWT R2 are elav-Gal4 recombined versions of parkin from [16]. Three technical replicates were performed with three biological replicates of each genotype and age. Columns represent average values and error bars show standard error of the mean (SEM). Statistical significance was assessed by two-tailed paired Student’s-t test. Asterisk(s) indicate significance, *p ≤ 0.05, **p ≤ 0.01 and ***p ≤ 0.001. Complete genotypes of flies used: elav-GAL4,UAS-GFP/CyO (GFP), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinWT/+), elav-GAL4/CyO;UAS-Parkin /TM6 (ParkinLD/+), elav-GAL4/CyO;UAS-Parkin (ParkinWT), elav-GAL4/CyO;UAS-Parkin (ParkinLD) and park (Parkin null), elav-GAL4,UAS-Parkin/CyO (Parkin R1, R2), elav-GAL4/CyO;UAS-8HAParkin /TM6 (8HA-Parkin/+) and elav-GAL4/CyO;UAS-8HAParkin (8HA-Parkin). (PDF 268 kb) Control western blots A) The complete gel of Fig. 2f showing the three independent BioUb pulldown experiments analysed by MS for Parkin substrate identification. B) All individual loading controls (actin western blots) for Fig. 8. (PDF 337 kb) Reproducibility of the system I. A) Venn diagrams show number of proteins detected in each BioUb pulldown analysed by MS for Parkin substrate identification. B) LFQ intensity distribution of identified proteins in all BioUb pulldowns used for Parkin substrate identification with Perseus software. Non-inputated values are shown in green and inputated values in red. Note that Perseus replaced LFQ intensities that displayed a value of 0 by low value intensities within the lower detection limit according to a normal distribution. LFQ intensities are displayed in Log2 scale. (PDF 785 kb) Reproducibility of the system II. Multicorrelation graph of LQF intensities of proteins identified in all BioUb pulldowns analysed by MS for Parkin substrate identification. LFQ intensities are displayed in Log2 scale. (PDF 149 kb) Peptide validation to identify the most robust Parkin responders. According to Perseus T-Test (Fold change >2, p-value < 0.05), 51 and 11 proteins were significantly more or less enriched respectively in purified ubiquitinated material of Parkin over-expressing head extracts, in a Parkin-dependent manner at the protein level with at least 2 unique peptides in all three relevant conditions (for enriched ParkinWT and for reduced ParkinLD). To further identify which are the ones that are more robustly associated to Parkin activity, the peptide profile of each of those proteins was analysed (see material and methods). A) Intensities of all the unique peptides in each condition (grey dots) and the average peptide intensity (red) are represented for each protein. When present, di-gly peptides are showed in blue. B) Fold change of all the unique peptides in each condition (grey dots) and the average fold change and standard error of the mean (SEM) are represented in red. Average intensity of the three replicates was used per condition and only peptides that appeared at least in two conditions were used. (PDF 3020 kb) Proteins that are specifically more ubiquitinated after Parkin expression in two independent analyses and supplementary Ub chain graph. A) Outcome of two T-tests performed with Perseus are plotted in this volcano plot: ParkinWT vs ParkinLD (left side) and ParkinWT vs Control (BioUb; right side). Proteins are distributed along x axis by fold change of LFQ intensity and y axis by p-value. Proteins with a fold change bigger than 2 and a p-value lower than 0.05 are labelled with their names in grey. Proteins in bold, represent the most robust Parkin responders (see Table 1, Additional file 5: Figure S5). Fold change of LFQ intensity is represented in Log2 scale. B) C, Ub, WT, LD fly heads were subjected to BioUb pulldown and ubiquitin chains present in elutions were quantitated by comparison with isotopically labelled standards. Graph shows fold change of ubiquitin chain linkages found n ParkinWT vs ParkinLD. Error bars indicate standard deviation of three technical replicates. Complete genotypes of flies used: GMR-GAL4/CyO;UAS-BirA/TM6 (C), GMR-GAL4,UAS-( Ub) -BirA/CyO (Ub), GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (WT) and GMR-GAL4,UAS-( Ub) -BirA/CyO;UAS-Parkin (LD). (PDF 414 kb) Over-expression of hParkin (WT) induced an increase of VPS35 ubiquitination compared to control (C) or to over-expression of inactive hParkin (LD) in four independent experiments. (A) The complete gels of Fig. 8a showing four independent in vivo ubiquitination assays for VPS35 in SH-SY5Y cells. Ubiquitination of YFP-tagged VPS35 was analysed by Western blot after capture of the YFP-tagged protein. Mouse anti-GFP antibody was used for detecting the captured VPS35 (shown in green), and HRP-conjugated anti-FLAG antibody for monitoring its ubiquitinated fraction (shown in red). Untagged Parkin over-expression levels in the whole cell extracts are monitored with anti-Parkin antibody. (B) Quantification of the ubiquitination status of VPS35 relative to the non-modified form was performed calculating the ratio FLAG:GFP with Image-J. The plot shows relative levels of VPS35 ubiquitination normalized to the GFP levels. (PDF 14700 kb) Alignment of Human and Drosophila Parkin. (PDF 61 kb) All proteins identified: Details of all proteins identified in the whole mass spectrometry analysis. Proteins are divided in Background and Hits (Ubiquitinated). (XLS 2430 kb) The most robust Parkin responders identified in Drosophila neurons: Details of the most robust Parkin responders identified in Drosophila neurons. (XLS 58 kb) Di-gly Sites: Details of all detected Di-gly peptides. (XLS 154 kb) Parkin over-expression in neurodevelopment results in Parkinsonian-like defects: Empty vials containing 5 male and 5 female, 0–3 days after eclosion flies of elav-GAL4/CyO;UAS-Parkin WT in the left side and elav-GAL4/CyO;UAS-Parkin LD in the right side. (M4V 4550 kb)
  114 in total

1.  Parkin mediates proteasome-dependent protein degradation and rupture of the outer mitochondrial membrane.

Authors:  Saori R Yoshii; Chieko Kishi; Naotada Ishihara; Noboru Mizushima
Journal:  J Biol Chem       Date:  2011-03-18       Impact factor: 5.157

2.  Ubiquitin is phosphorylated by PINK1 to activate parkin.

Authors:  Fumika Koyano; Kei Okatsu; Hidetaka Kosako; Yasushi Tamura; Etsu Go; Mayumi Kimura; Yoko Kimura; Hikaru Tsuchiya; Hidehito Yoshihara; Takatsugu Hirokawa; Toshiya Endo; Edward A Fon; Jean-François Trempe; Yasushi Saeki; Keiji Tanaka; Noriyuki Matsuda
Journal:  Nature       Date:  2014-06-04       Impact factor: 49.962

3.  Genetic and genomic studies of Drosophila parkin mutants implicate oxidative stress and innate immune responses in pathogenesis.

Authors:  Jessica C Greene; Alexander J Whitworth; Laurie A Andrews; Tracey J Parker; Leo J Pallanck
Journal:  Hum Mol Genet       Date:  2005-02-02       Impact factor: 6.150

Review 4.  Pathologic and therapeutic implications for the cell biology of parkin.

Authors:  Rakshita A Charan; Matthew J LaVoie
Journal:  Mol Cell Neurosci       Date:  2015-02-17       Impact factor: 4.314

5.  Deubiquitinating enzymes regulate PARK2-mediated mitophagy.

Authors:  Yuqing Wang; Mauro Serricchio; Miluska Jauregui; Riya Shanbhag; Tasha Stoltz; Caitlin T Di Paolo; Peter K Kim; G Angus McQuibban
Journal:  Autophagy       Date:  2015-04-03       Impact factor: 16.016

6.  Broad activation of the ubiquitin-proteasome system by Parkin is critical for mitophagy.

Authors:  Nickie C Chan; Anna M Salazar; Anh H Pham; Michael J Sweredoski; Natalie J Kolawa; Robert L J Graham; Sonja Hess; David C Chan
Journal:  Hum Mol Genet       Date:  2011-02-04       Impact factor: 6.150

7.  PINK1/Parkin-mediated mitophagy is dependent on VDAC1 and p62/SQSTM1.

Authors:  Sven Geisler; Kira M Holmström; Diana Skujat; Fabienne C Fiesel; Oliver C Rothfuss; Philipp J Kahle; Wolfdieter Springer
Journal:  Nat Cell Biol       Date:  2010-01-24       Impact factor: 28.824

8.  Ubiquitination site preferences in anaphase promoting complex/cyclosome (APC/C) substrates.

Authors:  Mingwei Min; Ugo Mayor; Catherine Lindon
Journal:  Open Biol       Date:  2013-09-04       Impact factor: 6.411

9.  Phosphoproteomic screening identifies Rab GTPases as novel downstream targets of PINK1.

Authors:  Yu-Chiang Lai; Chandana Kondapalli; Ronny Lehneck; James B Procter; Brian D Dill; Helen I Woodroof; Robert Gourlay; Mark Peggie; Thomas J Macartney; Olga Corti; Jean-Christophe Corvol; David G Campbell; Aymelt Itzen; Matthias Trost; Miratul Mk Muqit
Journal:  EMBO J       Date:  2015-10-15       Impact factor: 11.598

10.  The Parkinson's disease-linked proteins Fbxo7 and Parkin interact to mediate mitophagy.

Authors:  Victoria S Burchell; David E Nelson; Alvaro Sanchez-Martinez; Marta Delgado-Camprubi; Rachael M Ivatt; Joe H Pogson; Suzanne J Randle; Selina Wray; Patrick A Lewis; Henry Houlden; Andrey Y Abramov; John Hardy; Nicholas W Wood; Alexander J Whitworth; Heike Laman; Helene Plun-Favreau
Journal:  Nat Neurosci       Date:  2013-08-11       Impact factor: 24.884

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  22 in total

1.  Parkin inhibits BAK and BAX apoptotic function by distinct mechanisms during mitophagy.

Authors:  Jonathan P Bernardini; Jason M Brouwer; Iris Kl Tan; Jarrod J Sandow; Shuai Huang; Che A Stafford; Aleksandra Bankovacki; Christopher D Riffkin; Ahmad Z Wardak; Peter E Czabotar; Michael Lazarou; Grant Dewson
Journal:  EMBO J       Date:  2018-12-20       Impact factor: 11.598

2.  Docosahexaenoic acid inhibits zymogen activation by suppressing vacuolar ATPase activation in cerulein-stimulated pancreatic acinar cells.

Authors:  Yeeun Park; Leeyeon Ku; Joo Weon Lim; Hyeyoung Kim
Journal:  Genes Nutr       Date:  2020-03-23       Impact factor: 5.523

Review 3.  Role of the endolysosomal system in Parkinson's disease.

Authors:  D J Vidyadhara; John E Lee; Sreeganga S Chandra
Journal:  J Neurochem       Date:  2019-07-31       Impact factor: 5.372

4.  Parkin mediates the ubiquitination of VPS35 and modulates retromer-dependent endosomal sorting.

Authors:  Erin T Williams; Liliane Glauser; Elpida Tsika; Haisong Jiang; Shariful Islam; Darren J Moore
Journal:  Hum Mol Genet       Date:  2018-09-15       Impact factor: 6.150

Review 5.  Historical perspective and progress on protein ubiquitination at glutamatergic synapses.

Authors:  Angela M Mabb
Journal:  Neuropharmacology       Date:  2021-06-29       Impact factor: 5.273

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

Authors:  Daniel J Klionsky; Amal Kamal Abdel-Aziz; Sara Abdelfatah; Mahmoud Abdellatif; Asghar Abdoli; Steffen Abel; Hagai Abeliovich; Marie H Abildgaard; Yakubu Princely Abudu; Abraham Acevedo-Arozena; Iannis E Adamopoulos; Khosrow Adeli; Timon E Adolph; Annagrazia Adornetto; Elma Aflaki; Galila Agam; Anupam Agarwal; Bharat B Aggarwal; Maria Agnello; Patrizia Agostinis; Javed N Agrewala; Alexander Agrotis; Patricia V Aguilar; S Tariq Ahmad; Zubair M Ahmed; Ulises Ahumada-Castro; Sonja Aits; Shu Aizawa; Yunus Akkoc; Tonia Akoumianaki; Hafize Aysin Akpinar; Ahmed M Al-Abd; Lina Al-Akra; Abeer Al-Gharaibeh; Moulay A Alaoui-Jamali; Simon Alberti; Elísabet Alcocer-Gómez; Cristiano Alessandri; Muhammad Ali; M Abdul Alim Al-Bari; Saeb Aliwaini; Javad Alizadeh; Eugènia Almacellas; Alexandru Almasan; Alicia Alonso; Guillermo D Alonso; Nihal Altan-Bonnet; Dario C Altieri; Élida M C Álvarez; Sara Alves; Cristine Alves da Costa; Mazen M Alzaharna; Marialaura Amadio; Consuelo Amantini; Cristina Amaral; Susanna Ambrosio; Amal O Amer; Veena Ammanathan; Zhenyi An; Stig U Andersen; Shaida A Andrabi; Magaiver Andrade-Silva; Allen M Andres; Sabrina Angelini; David Ann; Uche C Anozie; Mohammad Y Ansari; Pedro Antas; Adam Antebi; Zuriñe Antón; Tahira Anwar; Lionel Apetoh; Nadezda Apostolova; Toshiyuki Araki; Yasuhiro Araki; Kohei Arasaki; Wagner L Araújo; Jun Araya; Catherine Arden; Maria-Angeles Arévalo; Sandro Arguelles; Esperanza Arias; Jyothi Arikkath; Hirokazu Arimoto; Aileen R Ariosa; Darius Armstrong-James; Laetitia Arnauné-Pelloquin; Angeles Aroca; Daniela S Arroyo; Ivica Arsov; Rubén Artero; Dalia Maria Lucia Asaro; Michael Aschner; Milad Ashrafizadeh; Osnat Ashur-Fabian; Atanas G Atanasov; Alicia K Au; Patrick Auberger; Holger W Auner; Laure Aurelian; Riccardo Autelli; Laura Avagliano; Yenniffer Ávalos; Sanja Aveic; Célia Alexandra Aveleira; Tamar Avin-Wittenberg; Yucel Aydin; Scott Ayton; Srinivas Ayyadevara; Maria Azzopardi; Misuzu Baba; Jonathan M Backer; Steven K Backues; Dong-Hun Bae; 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Paolo Bonaldo; Srinivasa Reddy Bonam; Laura Bonfili; Juan S Bonifacino; Brian A Boone; Martin D Bootman; Matteo Bordi; Christoph Borner; Beat C Bornhauser; Gautam Borthakur; Jürgen Bosch; Santanu Bose; Luis M Botana; Juan Botas; Chantal M Boulanger; Michael E Boulton; Mathieu Bourdenx; Benjamin Bourgeois; Nollaig M Bourke; Guilhem Bousquet; Patricia Boya; Peter V Bozhkov; Luiz H M Bozi; Tolga O Bozkurt; Doug E Brackney; Christian H Brandts; Ralf J Braun; Gerhard H Braus; Roberto Bravo-Sagua; José M Bravo-San Pedro; Patrick Brest; Marie-Agnès Bringer; Alfredo Briones-Herrera; V Courtney Broaddus; Peter Brodersen; Jeffrey L Brodsky; Steven L Brody; Paola G Bronson; Jeff M Bronstein; Carolyn N Brown; Rhoderick E Brown; Patricia C Brum; John H Brumell; Nicola Brunetti-Pierri; Daniele Bruno; Robert J Bryson-Richardson; Cecilia Bucci; Carmen Buchrieser; Marta Bueno; Laura Elisa Buitrago-Molina; Simone Buraschi; Shilpa Buch; J Ross Buchan; Erin M Buckingham; Hikmet Budak; Mauricio Budini; Geert Bultynck; Florin Burada; Joseph R Burgoyne; M Isabel Burón; Victor Bustos; Sabrina Büttner; Elena Butturini; Aaron Byrd; Isabel Cabas; Sandra Cabrera-Benitez; Ken Cadwell; Jingjing Cai; Lu Cai; Qian Cai; Montserrat Cairó; Jose A Calbet; Guy A Caldwell; Kim A Caldwell; Jarrod A Call; Riccardo Calvani; Ana C Calvo; Miguel Calvo-Rubio Barrera; Niels Os Camara; Jacques H Camonis; Nadine Camougrand; Michelangelo Campanella; Edward M Campbell; François-Xavier Campbell-Valois; Silvia Campello; Ilaria Campesi; Juliane C Campos; Olivier Camuzard; Jorge Cancino; Danilo Candido de Almeida; Laura Canesi; Isabella Caniggia; Barbara Canonico; Carles Cantí; Bin Cao; Michele Caraglia; Beatriz Caramés; Evie H Carchman; Elena Cardenal-Muñoz; Cesar Cardenas; Luis Cardenas; Sandra M Cardoso; Jennifer S Carew; Georges F Carle; Gillian Carleton; Silvia Carloni; Didac Carmona-Gutierrez; Leticia A Carneiro; Oliana Carnevali; Julian M Carosi; Serena Carra; Alice Carrier; Lucie Carrier; Bernadette Carroll; A Brent Carter; Andreia Neves Carvalho; Magali Casanova; Caty Casas; Josefina Casas; Chiara Cassioli; Eliseo F Castillo; Karen Castillo; Sonia Castillo-Lluva; Francesca Castoldi; Marco Castori; Ariel F Castro; Margarida Castro-Caldas; Javier Castro-Hernandez; Susana Castro-Obregon; Sergio D Catz; Claudia Cavadas; Federica Cavaliere; Gabriella Cavallini; Maria Cavinato; Maria L Cayuela; Paula Cebollada Rica; Valentina Cecarini; Francesco Cecconi; Marzanna Cechowska-Pasko; Simone Cenci; Victòria Ceperuelo-Mallafré; João J Cerqueira; Janete M Cerutti; Davide Cervia; Vildan Bozok Cetintas; Silvia Cetrullo; Han-Jung Chae; Andrei S Chagin; Chee-Yin Chai; Gopal Chakrabarti; Oishee Chakrabarti; Tapas Chakraborty; Trinad Chakraborty; Mounia Chami; Georgios Chamilos; David W Chan; Edmond Y W Chan; Edward D Chan; H Y Edwin Chan; Helen H Chan; Hung Chan; Matthew T V Chan; Yau Sang Chan; Partha K Chandra; Chih-Peng Chang; Chunmei Chang; Hao-Chun Chang; Kai Chang; Jie Chao; Tracey Chapman; Nicolas Charlet-Berguerand; Samrat Chatterjee; Shail K Chaube; Anu Chaudhary; Santosh Chauhan; Edward Chaum; Frédéric Checler; Michael E Cheetham; Chang-Shi Chen; Guang-Chao Chen; Jian-Fu Chen; Liam L Chen; Leilei Chen; Lin Chen; Mingliang Chen; Mu-Kuan Chen; Ning Chen; Quan Chen; Ruey-Hwa Chen; Shi Chen; Wei Chen; Weiqiang Chen; Xin-Ming Chen; Xiong-Wen Chen; Xu Chen; Yan Chen; Ye-Guang Chen; Yingyu Chen; Yongqiang Chen; Yu-Jen Chen; Yue-Qin Chen; Zhefan Stephen Chen; Zhi Chen; Zhi-Hua Chen; Zhijian J Chen; Zhixiang Chen; Hanhua Cheng; Jun Cheng; Shi-Yuan Cheng; Wei Cheng; Xiaodong Cheng; Xiu-Tang Cheng; Yiyun Cheng; Zhiyong Cheng; Zhong Chen; Heesun Cheong; Jit Kong Cheong; Boris V Chernyak; Sara Cherry; Chi Fai Randy Cheung; Chun Hei Antonio Cheung; King-Ho Cheung; Eric Chevet; Richard J Chi; Alan Kwok Shing Chiang; Ferdinando Chiaradonna; Roberto Chiarelli; Mario Chiariello; Nathalia Chica; Susanna Chiocca; Mario Chiong; Shih-Hwa Chiou; Abhilash I Chiramel; Valerio Chiurchiù; Dong-Hyung Cho; Seong-Kyu Choe; Augustine M K Choi; Mary E Choi; Kamalika Roy Choudhury; Norman S Chow; Charleen T Chu; Jason P Chua; John Jia En Chua; Hyewon Chung; Kin Pan Chung; Seockhoon Chung; So-Hyang Chung; Yuen-Li Chung; Valentina Cianfanelli; Iwona A Ciechomska; Mariana Cifuentes; Laura Cinque; Sebahattin Cirak; Mara Cirone; Michael J Clague; Robert Clarke; Emilio Clementi; Eliana M Coccia; Patrice Codogno; Ehud Cohen; Mickael M Cohen; Tania Colasanti; Fiorella Colasuonno; Robert A Colbert; Anna Colell; Miodrag Čolić; Nuria S Coll; Mark O Collins; María I Colombo; Daniel A Colón-Ramos; Lydie Combaret; Sergio Comincini; Márcia R Cominetti; Antonella Consiglio; Andrea Conte; Fabrizio Conti; Viorica Raluca Contu; Mark R Cookson; Kevin M Coombs; Isabelle Coppens; Maria Tiziana Corasaniti; Dale P Corkery; Nils Cordes; Katia Cortese; Maria do Carmo Costa; Sarah Costantino; Paola Costelli; Ana Coto-Montes; Peter J Crack; Jose L Crespo; Alfredo Criollo; Valeria Crippa; Riccardo Cristofani; Tamas Csizmadia; Antonio Cuadrado; Bing Cui; Jun Cui; Yixian Cui; Yong Cui; Emmanuel Culetto; Andrea C Cumino; Andrey V Cybulsky; Mark J Czaja; Stanislaw J Czuczwar; Stefania D'Adamo; Marcello D'Amelio; Daniela D'Arcangelo; Andrew C D'Lugos; Gabriella D'Orazi; James A da Silva; Hormos Salimi Dafsari; Ruben K Dagda; Yasin Dagdas; Maria Daglia; Xiaoxia Dai; Yun Dai; Yuyuan Dai; Jessica Dal Col; Paul Dalhaimer; Luisa Dalla Valle; Tobias Dallenga; Guillaume Dalmasso; Markus Damme; Ilaria Dando; Nico P Dantuma; April L Darling; Hiranmoy Das; Srinivasan Dasarathy; Santosh K Dasari; Srikanta Dash; Oliver Daumke; Adrian N Dauphinee; Jeffrey S Davies; Valeria A Dávila; Roger J Davis; Tanja Davis; Sharadha Dayalan Naidu; Francesca De Amicis; Karolien De Bosscher; Francesca De Felice; Lucia De Franceschi; Chiara De Leonibus; Mayara G de Mattos Barbosa; Guido R Y De Meyer; Angelo De Milito; Cosimo De Nunzio; Clara De Palma; Mauro De Santi; Claudio De Virgilio; Daniela De Zio; Jayanta Debnath; Brian J DeBosch; Jean-Paul Decuypere; Mark A Deehan; Gianluca Deflorian; James DeGregori; Benjamin Dehay; Gabriel Del Rio; Joe R Delaney; Lea M D Delbridge; Elizabeth Delorme-Axford; M Victoria Delpino; Francesca Demarchi; Vilma Dembitz; Nicholas D Demers; Hongbin Deng; Zhiqiang Deng; Joern Dengjel; Paul Dent; Donna Denton; Melvin L DePamphilis; Channing J Der; Vojo Deretic; Albert Descoteaux; Laura Devis; Sushil Devkota; Olivier Devuyst; Grant Dewson; Mahendiran Dharmasivam; Rohan Dhiman; Diego di Bernardo; Manlio Di Cristina; Fabio Di Domenico; Pietro Di Fazio; Alessio Di Fonzo; Giovanni Di Guardo; Gianni M Di Guglielmo; Luca Di Leo; Chiara Di Malta; Alessia Di Nardo; Martina Di Rienzo; Federica Di Sano; George Diallinas; Jiajie Diao; Guillermo Diaz-Araya; Inés Díaz-Laviada; Jared M Dickinson; Marc Diederich; Mélanie Dieudé; Ivan Dikic; Shiping Ding; Wen-Xing Ding; Luciana Dini; Jelena Dinić; Miroslav Dinic; Albena T Dinkova-Kostova; Marc S Dionne; Jörg H W Distler; Abhinav Diwan; Ian M C Dixon; Mojgan Djavaheri-Mergny; Ina Dobrinski; Oxana Dobrovinskaya; 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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; Taiga Miyazaki; Keisuke Miyazawa; Noboru Mizushima; Trine H Mogensen; Baharia Mograbi; Reza Mohammadinejad; Yasir Mohamud; Abhishek Mohanty; Sipra Mohapatra; Torsten Möhlmann; Asif Mohmmed; Anna Moles; Kelle H Moley; Maurizio Molinari; Vincenzo Mollace; Andreas Buch Møller; Bertrand Mollereau; Faustino Mollinedo; Costanza Montagna; Mervyn J Monteiro; Andrea Montella; L Ruth Montes; Barbara Montico; Vinod K Mony; Giacomo Monzio Compagnoni; Michael N Moore; Mohammad A Moosavi; Ana L Mora; Marina Mora; David Morales-Alamo; Rosario Moratalla; Paula I Moreira; Elena Morelli; Sandra Moreno; Daniel Moreno-Blas; Viviana Moresi; Benjamin Morga; Alwena H Morgan; Fabrice Morin; Hideaki Morishita; Orson L Moritz; Mariko Moriyama; Yuji Moriyasu; Manuela Morleo; Eugenia Morselli; Jose F Moruno-Manchon; Jorge Moscat; Serge Mostowy; Elisa Motori; Andrea Felinto Moura; Naima Moustaid-Moussa; Maria Mrakovcic; Gabriel Muciño-Hernández; Anupam Mukherjee; Subhadip Mukhopadhyay; Jean M Mulcahy Levy; Victoriano Mulero; 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Per Nilsson; Shunbin Ning; Rituraj Niranjan; Hiroshi Nishimune; Mireia Niso-Santano; Ralph A Nixon; Annalisa Nobili; Clevio Nobrega; Takeshi Noda; Uxía Nogueira-Recalde; Trevor M Nolan; Ivan Nombela; Ivana Novak; Beatriz Novoa; Takashi Nozawa; Nobuyuki Nukina; Carmen Nussbaum-Krammer; Jesper Nylandsted; Tracey R O'Donovan; Seónadh M O'Leary; Eyleen J O'Rourke; Mary P O'Sullivan; Timothy E O'Sullivan; Salvatore Oddo; Ina Oehme; Michinaga Ogawa; Eric Ogier-Denis; Margret H Ogmundsdottir; Besim Ogretmen; Goo Taeg Oh; Seon-Hee Oh; Young J Oh; Takashi Ohama; Yohei Ohashi; Masaki Ohmuraya; Vasileios Oikonomou; Rani Ojha; Koji Okamoto; Hitoshi Okazawa; Masahide Oku; Sara Oliván; Jorge M A Oliveira; Michael Ollmann; James A Olzmann; Shakib Omari; M Bishr Omary; Gizem Önal; Martin Ondrej; Sang-Bing Ong; Sang-Ging Ong; Anna Onnis; Juan A Orellana; Sara Orellana-Muñoz; Maria Del Mar Ortega-Villaizan; Xilma R Ortiz-Gonzalez; Elena Ortona; Heinz D Osiewacz; Abdel-Hamid K Osman; Rosario Osta; Marisa S Otegui; 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Soledad Porte Alcon; Eliana Portilla-Fernandez; Martin Post; Malia B Potts; Joanna Poulton; Ted Powers; Veena Prahlad; Tomasz K Prajsnar; Domenico Praticò; Rosaria Prencipe; Muriel Priault; Tassula Proikas-Cezanne; Vasilis J Promponas; Christopher G Proud; Rosa Puertollano; Luigi Puglielli; Thomas Pulinilkunnil; Deepika Puri; Rajat Puri; Julien Puyal; Xiaopeng Qi; Yongmei Qi; Wenbin Qian; Lei Qiang; Yu Qiu; Joe Quadrilatero; Jorge Quarleri; Nina Raben; Hannah Rabinowich; Debora Ragona; Michael J Ragusa; Nader Rahimi; Marveh Rahmati; Valeria Raia; Nuno Raimundo; Namakkal-Soorappan Rajasekaran; Sriganesh Ramachandra Rao; Abdelhaq Rami; Ignacio Ramírez-Pardo; David B Ramsden; Felix Randow; Pundi N Rangarajan; Danilo Ranieri; Hai Rao; Lang Rao; Rekha Rao; Sumit Rathore; J Arjuna Ratnayaka; Edward A Ratovitski; Palaniyandi Ravanan; Gloria Ravegnini; Swapan K Ray; Babak Razani; Vito Rebecca; Fulvio Reggiori; Anne Régnier-Vigouroux; Andreas S Reichert; David Reigada; Jan H Reiling; Theo Rein; Siegfried Reipert; Rokeya Sultana Rekha; Hongmei Ren; Jun Ren; Weichao Ren; Tristan Renault; Giorgia Renga; Karen Reue; Kim Rewitz; Bruna Ribeiro de Andrade Ramos; S Amer Riazuddin; Teresa M Ribeiro-Rodrigues; Jean-Ehrland Ricci; Romeo Ricci; Victoria Riccio; Des R Richardson; Yasuko Rikihisa; Makarand V Risbud; Ruth M Risueño; Konstantinos Ritis; Salvatore Rizza; Rosario Rizzuto; Helen C Roberts; Luke D Roberts; Katherine J Robinson; Maria Carmela Roccheri; Stephane Rocchi; George G Rodney; Tiago Rodrigues; Vagner Ramon Rodrigues Silva; Amaia Rodriguez; Ruth Rodriguez-Barrueco; Nieves Rodriguez-Henche; Humberto Rodriguez-Rocha; Jeroen Roelofs; Robert S Rogers; Vladimir V Rogov; Ana I Rojo; Krzysztof Rolka; Vanina Romanello; Luigina Romani; Alessandra Romano; Patricia S Romano; David Romeo-Guitart; Luis C Romero; Montserrat Romero; Joseph C Roney; Christopher Rongo; Sante Roperto; Mathias T Rosenfeldt; Philip Rosenstiel; Anne G Rosenwald; Kevin A Roth; Lynn Roth; Steven Roth; Kasper M A Rouschop; 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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

Review 7.  Tissue Specific Labeling in Proteomics.

Authors:  Evelyn Ramberger; Gunnar Dittmar
Journal:  Proteomes       Date:  2017-07-18

8.  A Proteomic Approach for Systematic Mapping of Substrates of Human Deubiquitinating Enzymes.

Authors:  Juanma Ramirez; Gorka Prieto; Anne Olazabal-Herrero; Eva Borràs; Elvira Fernandez-Vigo; Unai Alduntzin; Nerea Osinalde; Javier Beaskoetxea; Benoit Lectez; Kerman Aloria; Jose Antonio Rodriguez; Alberto Paradela; Eduard Sabidó; Javier Muñoz; Fernando Corrales; Jesus M Arizmendi; Ugo Mayor
Journal:  Int J Mol Sci       Date:  2021-05-03       Impact factor: 5.923

9.  Multi-story Parkin.

Authors:  Aitor Martinez; Ugo Mayor; Michael J Clague
Journal:  Oncotarget       Date:  2017-05-31

Review 10.  Neuronal Proteomic Analysis of the Ubiquitinated Substrates of the Disease-Linked E3 Ligases Parkin and Ube3a.

Authors:  Aitor Martinez; Juanma Ramirez; Nerea Osinalde; Jesus M Arizmendi; Ugo Mayor
Journal:  Biomed Res Int       Date:  2018-03-06       Impact factor: 3.411

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