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Zheng W, Yang P, Sun C, Zhang Y. Comprehensive comparison of sample preparation workflows for proteomics. Mol Omics 2022; 18:555-567. [DOI: 10.1039/d2mo00076h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Mass spectrometry-based proteomics experiments can be subject to a large variability, which forms an obstacle to obtaining deep and accurate protein identification. Here, to obtain an optimal sample preparation workflow...
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Simoes Eugénio M, Faurez F, Kara-Ali GH, Lagarrigue M, Uhart P, Bonnet MC, Gallais I, Com E, Pineau C, Samson M, Le Seyec J, Dimanche-Boitrel MT. TRIM21, a New Component of the TRAIL-Induced Endogenous Necrosome Complex. Front Mol Biosci 2021; 8:645134. [PMID: 33937329 PMCID: PMC8082149 DOI: 10.3389/fmolb.2021.645134] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/17/2021] [Indexed: 01/09/2023] Open
Abstract
Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a well-known apoptosis inducer and a potential anticancer agent. When caspases and inhibitors of apoptosis proteins (IAPs) are inhibited, TRAIL induces necroptosis. Molecular mechanisms of necroptosis rely on kinase activation, and on the formation of a necrosome complex, bringing together the receptor-interacting protein kinases 1 and 3 (RIPK1, RIPK3), and the mixed lineage kinase domain-like protein (MLKL). In this study, mass spectrometry approach allowed to identify the tripartite motif containing 21 (TRIM21), an E3 ubiquitin-protein ligase as a new partner of the endogenous TRAIL-induced necrosome. Alteration of TRIM21 expression level, obtained by transient transfection of HT29 or HaCat cells with TRIM21-targeted siRNAs or cDNA plasmids coding for TRIM21 demonstrated that TRIM21 is a positive regulator of TRAIL-induced necroptosis. Furthermore, the invalidation of TRIM21 expression in HT29 cells by CRISPR-Cas9 technology also decreased cell sensitivity to TRAIL-induced necroptosis, a shortcoming associated with a reduction in MLKL phosphorylation, the necroptosis executioner. Thus, TRIM21 emerged as a new partner of the TRAIL-induced necrosome that positively regulates the necroptosis process.
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Affiliation(s)
- Mélanie Simoes Eugénio
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Florence Faurez
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Ghania H Kara-Ali
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Mélanie Lagarrigue
- Protim, Inserm, Irset - UMR_S1085, Campus de Beaulieu, Rennes, France.,Biogenouest, Core Facility Network in Western, France
| | - Perrine Uhart
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Marion C Bonnet
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Isabelle Gallais
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Emmanuelle Com
- Protim, Inserm, Irset - UMR_S1085, Campus de Beaulieu, Rennes, France.,Biogenouest, Core Facility Network in Western, France
| | - Charles Pineau
- Protim, Inserm, Irset - UMR_S1085, Campus de Beaulieu, Rennes, France.,Biogenouest, Core Facility Network in Western, France
| | - Michel Samson
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Jacques Le Seyec
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
| | - Marie-Thérèse Dimanche-Boitrel
- Univ-Rennes1, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S1085, Rennes, France
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Perraud Q, Cantero P, Roche B, Gasser V, Normant VP, Kuhn L, Hammann P, Mislin GLA, Ehret-Sabatier L, Schalk IJ. Phenotypic Adaption of Pseudomonas aeruginosa by Hacking Siderophores Produced by Other Microorganisms. Mol Cell Proteomics 2020; 19:589-607. [PMID: 32024770 PMCID: PMC7124469 DOI: 10.1074/mcp.ra119.001829] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 12/23/2019] [Indexed: 12/31/2022] Open
Abstract
Bacteria secrete siderophores to access iron, a key nutrient poorly bioavailable and the source of strong competition between microorganisms in most biotopes. Many bacteria also use siderophores produced by other microorganisms (exosiderophores) in a piracy strategy. Pseudomonas aeruginosa, an opportunistic pathogen, produces two siderophores, pyoverdine and pyochelin, and is also able to use a panel of exosiderophores. We first investigated expression of the various iron-uptake pathways of P. aeruginosa in three different growth media using proteomic and RT-qPCR approaches and observed three different phenotypic patterns, indicating complex phenotypic plasticity in the expression of the various iron-uptake pathways. We then investigated the phenotypic plasticity of iron-uptake pathway expression in the presence of various exosiderophores (present individually or as a mixture) under planktonic growth conditions, as well as in an epithelial cell infection assay. In all growth conditions tested, catechol-type exosiderophores were clearly more efficient in inducing the expression of their corresponding transporters than the others, showing that bacteria opt for the use of catechol siderophores to access iron when they are present in the environment. In parallel, expression of the proteins of the pyochelin pathway was significantly repressed under most conditions tested, as well as that of proteins of the pyoverdine pathway, but to a lesser extent. There was no effect on the expression of the heme and ferrous uptake pathways. Overall, these data provide precise insights on how P. aeruginosa adjusts the expression of its various iron-uptake pathways (phenotypic plasticity and switching) to match varying levels of iron and competition.
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Affiliation(s)
- Quentin Perraud
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France
| | - Paola Cantero
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
| | - Béatrice Roche
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France
| | - Véronique Gasser
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France
| | - Vincent P Normant
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France
| | - Lauriane Kuhn
- Plateforme Proteomique Strasbourg - Esplanade, Institut de Biologie Moléculaire et Cellulaire, CNRS, FR1589, 15 rue Descartes, F-67084 Strasbourg Cedex, France
| | - Philippe Hammann
- Plateforme Proteomique Strasbourg - Esplanade, Institut de Biologie Moléculaire et Cellulaire, CNRS, FR1589, 15 rue Descartes, F-67084 Strasbourg Cedex, France
| | - Gaëtan L A Mislin
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France
| | - Laurence Ehret-Sabatier
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
| | - Isabelle J Schalk
- Université de Strasbourg, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France; CNRS, UMR7242, ESBS, Bld Sébastien Brant, F-67413 Illkirch, Strasbourg, France.
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4
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How the central domain of dystrophin acts to bridge F-actin to sarcolemmal lipids. J Struct Biol 2019; 209:107411. [PMID: 31689503 DOI: 10.1016/j.jsb.2019.107411] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 10/07/2019] [Accepted: 10/29/2019] [Indexed: 01/08/2023]
Abstract
Dystrophin is a large intracellular protein that prevents sarcolemmal ruptures by providing a mechanical link between the intracellular actin cytoskeleton and the transmembrane dystroglycan complex. Dystrophin deficiency leads to the severe muscle wasting disease Duchenne Muscular Dystrophy and the milder allelic variant, Becker Muscular Dystrophy (DMD and BMD). Previous work has shown that concomitant interaction of the actin binding domain 2 (ABD2) comprising spectrin like repeats 11 to 15 (R11-15) of the central domain of dystrophin, with both actin and membrane lipids, can greatly increase membrane stiffness. Based on a combination of SAXS and SANS measurements, mass spectrometry analysis of cross-linked complexes and interactive low-resolution simulations, we explored in vitro the molecular properties of dystrophin that allow the formation of ABD2-F-actin and ABD2-membrane model complexes. In dystrophin we identified two subdomains interacting with F-actin, one located in R11 and a neighbouring region in R12 and another one in R15, while a single lipid binding domain was identified at the C-terminal end of R12. Relative orientations of the dystrophin central domain with F-actin and a membrane model were obtained from docking simulation under experimental constraints. SAXS-based models were then built for an extended central subdomain from R4 to R19, including ABD2. Overall results are compatible with a potential F-actin/dystrophin/membrane lipids ternary complex. Our description of this selected part of the dystrophin associated complex bridging muscle cell membrane and cytoskeleton opens the way to a better understanding of how cell muscle scaffolding is maintained through this essential protein.
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Hernandez-Alba O, Houel S, Hessmann S, Erb S, Rabuka D, Huguet R, Josephs J, Beck A, Drake PM, Cianférani S. A Case Study to Identify the Drug Conjugation Site of a Site-Specific Antibody-Drug-Conjugate Using Middle-Down Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:2419-2429. [PMID: 31429052 DOI: 10.1007/s13361-019-02296-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 07/15/2019] [Accepted: 07/18/2019] [Indexed: 06/10/2023]
Abstract
Middle-down mass spectrometry (MD MS) has emerged as a promising alternative to classical bottom-up approaches for protein characterization. Middle-level experiments after enzymatic digestion are routinely used for subunit analysis of monoclonal antibody (mAb)-related compounds, providing information on drug load distribution and average drug-to-antibody ratio (DAR). However, peptide mapping is still the gold standard for primary amino acid sequence assessment, post-translational modifications (PTM), and drug conjugation identification and localization. However, peptide mapping strategies can be challenging when dealing with more complex and heterogeneous mAb formats, like antibody-drug conjugates (ADCs). We report here, for the first time, MD MS analysis of a third-generation site-specific DAR4 ADC using different fragmentation techniques, including higher-energy collisional- (HCD), electron-transfer (ETD) dissociation and 213 nm ultraviolet photodissociation (UVPD). UVPD used as a standalone technique for ADC subunit analysis afforded, within the same liquid chromatography-MS/MS run, enhanced performance in terms of primary sequence coverage compared to HCD- or ETD-based MD approaches, and generated substantially more MS/MS fragments containing either drug conjugation or glycosylation site information, leading to confident drug/glycosylation site identification. In addition, our results highlight the complementarity of ETD and UVPD for both primary sequence validation and drug conjugation/glycosylation site assessment. Altogether, our results highlight the potential of UVPD for ADC MD MS analysis for drug conjugation/glycosylation site assessment, and indicate that MD MS strategies can improve structural characterization of empowered next-generation mAb-based formats, especially for PTMs and drug conjugation sites validation.
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Affiliation(s)
- Oscar Hernandez-Alba
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS IPHC UMR 7178, Université de Strasbourg, ECPM R5-0 - 25 Rue Becquerel, Cedex 2, 67087, Strasbourg, France
| | - Stéphane Houel
- Thermo Fisher Scientific, 355 River Oaks Pkwy, San Jose, CA, 95134, USA
| | - Steve Hessmann
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS IPHC UMR 7178, Université de Strasbourg, ECPM R5-0 - 25 Rue Becquerel, Cedex 2, 67087, Strasbourg, France
| | - Stéphane Erb
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS IPHC UMR 7178, Université de Strasbourg, ECPM R5-0 - 25 Rue Becquerel, Cedex 2, 67087, Strasbourg, France
| | - David Rabuka
- Catalent Biologics West, 5703 Hollis Street, Emeryville, CA, 94530, USA
| | - Romain Huguet
- Thermo Fisher Scientific, 355 River Oaks Pkwy, San Jose, CA, 95134, USA
| | - Jonathan Josephs
- Thermo Fisher Scientific, 355 River Oaks Pkwy, San Jose, CA, 95134, USA
| | - Alain Beck
- IRPF, Centre d'Immunologie Pierre-Fabre (CIPF), Saint-Julien-en-Genevois, France
| | - Penelope M Drake
- Catalent Biologics West, 5703 Hollis Street, Emeryville, CA, 94530, USA
| | - Sarah Cianférani
- Laboratoire de Spectrométrie de Masse BioOrganique, CNRS IPHC UMR 7178, Université de Strasbourg, ECPM R5-0 - 25 Rue Becquerel, Cedex 2, 67087, Strasbourg, France.
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Bons J, Macron C, Aude-Garcia C, Vaca-Jacome SA, Rompais M, Cianférani S, Carapito C, Rabilloud T. A Combined N-terminomics and Shotgun Proteomics Approach to Investigate the Responses of Human Cells to Rapamycin and Zinc at the Mitochondrial Level. Mol Cell Proteomics 2019; 18:1085-1095. [PMID: 31154437 PMCID: PMC6553941 DOI: 10.1074/mcp.ra118.001269] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/14/2019] [Indexed: 12/19/2022] Open
Abstract
All but thirteen mammalian mitochondrial proteins are encoded by the nuclear genome, translated in the cytosol and then imported into the mitochondria. For a significant proportion of the mitochondrial proteins, import is coupled with the cleavage of a presequence called the transit peptide, and the formation of a new N-terminus. Determination of the neo N-termini has been investigated by proteomic approaches in several systems, but generally in a static way to compile as many N-termini as possible. In the present study, we have investigated how the mitochondrial proteome and N-terminome react to chemical stimuli that alter mitochondrial metabolism, namely zinc ions and rapamycin. To this end, we have used a strategy that analyzes both internal and N-terminal peptides in a single run, the dN-TOP approach. We used these two very different stressors to sort out what could be a generic response to stress and what is specific to each of these stressors. Rapamycin and zinc induced different changes in the mitochondrial proteome. However, convergent changes to key mitochondrial enzymatic activities such as pyruvate dehydrogenase, succinate dehydrogenase and citrate synthase were observed for both treatments. Other convergent changes were seen in components of the N-terminal processing system and mitochondrial proteases. Investigations into the generation of neo-N-termini in mitochondria showed that the processing system is robust, as indicated by the lack of change in neo N-termini under the conditions tested. Detailed analysis of the data revealed that zinc caused a slight reduction in the efficiency of the N-terminal trimming system and that both treatments increased the degradation of mitochondrial proteins. In conclusion, the use of this combined strategy allowed a detailed analysis of the dynamics of the mitochondrial N-terminome in response to treatments which impact the mitochondria.
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Affiliation(s)
- Joanna Bons
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
| | - Charlotte Macron
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
| | - Catherine Aude-Garcia
- §Chemistry and Biology of Metals, Univ. Grenoble Alpes, CNRS UMR5249, CEA, BIG-LCBM, 38000 Grenoble, France
| | - Sebastian Alvaro Vaca-Jacome
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
| | - Magali Rompais
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
| | - Sarah Cianférani
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France
| | - Christine Carapito
- From the ‡Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), Université de Strasbourg, CNRS, IPHC UMR 7178, 67000 Strasbourg, France;
| | - Thierry Rabilloud
- §Chemistry and Biology of Metals, Univ. Grenoble Alpes, CNRS UMR5249, CEA, BIG-LCBM, 38000 Grenoble, France
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Dos Santos Morais R, Delalande O, Pérez J, Mias-Lucquin D, Lagarrigue M, Martel A, Molza AE, Chéron A, Raguénès-Nicol C, Chenuel T, Bondon A, Appavou MS, Le Rumeur E, Combet S, Hubert JF. Human Dystrophin Structural Changes upon Binding to Anionic Membrane Lipids. Biophys J 2018; 115:1231-1239. [PMID: 30197181 DOI: 10.1016/j.bpj.2018.07.039] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/16/2018] [Accepted: 07/31/2018] [Indexed: 11/19/2022] Open
Abstract
Scaffolding proteins play important roles in supporting the plasma membrane (sarcolemma) of muscle cells. Among them, dystrophin strengthens the sarcolemma through protein-lipid interactions, and its absence due to gene mutations leads to the severe Duchenne muscular dystrophy. Most of the dystrophin protein consists of a central domain made of 24 spectrin-like coiled-coil repeats (R). Using small angle neutron scattering (SANS) and the contrast variation technique, we specifically probed the structure of the three first consecutive repeats 1-3 (R1-3), a part of dystrophin known to physiologically interact with membrane lipids. R1-3 free in solution was compared to its structure adopted in the presence of phospholipid-based bicelles. SANS data for the protein/lipid complexes were obtained with contrast-matched bicelles under various phospholipid compositions to probe the role of electrostatic interactions. When bound to anionic bicelles, large modifications of the protein three-dimensional structure were detected, as revealed by a significant increase of the protein gyration radius from 42 ± 1 to 60 ± 4 Å. R1-3/anionic bicelle complexes were further analyzed by coarse-grained molecular dynamics simulations. From these studies, we report an all-atom model of R1-3 that highlights the opening of the R1 coiled-coil repeat when bound to the membrane lipids. This model is totally in agreement with SANS and click chemistry/mass spectrometry data. We conclude that the sarcolemma membrane anchoring that occurs during the contraction/elongation process of muscles could be ensured by this coiled-coil opening. Therefore, understanding these structural changes may help in the design of rationalized shortened dystrophins for gene therapy. Finally, our strategy opens up new possibilities for structure determination of peripheral and integral membrane proteins not compatible with different high-resolution structural methods.
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Affiliation(s)
- Raphael Dos Santos Morais
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France; Laboratoire Léon-Brillouin, UMR 12 CEA-CNRS, Université Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, France; SWING Beamline, Synchrotron SOLEIL, L'Orme des Merisiers, Saint-Aubin, Gif-sur-Yvette, France
| | - Olivier Delalande
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Javier Pérez
- SWING Beamline, Synchrotron SOLEIL, L'Orme des Merisiers, Saint-Aubin, Gif-sur-Yvette, France
| | - Dominique Mias-Lucquin
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Mélanie Lagarrigue
- Université de Rennes, Rennes, France; Inserm U1085, Protim-Plate-forme Protéomique, Rennes, France
| | | | - Anne-Elisabeth Molza
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Angélique Chéron
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Céline Raguénès-Nicol
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Thomas Chenuel
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Arnaud Bondon
- CNRS 6226, Institut des Sciences Chimiques de Rennes, PRISM, Rennes, France
| | - Marie-Sousai Appavou
- Jülich Centre for Neutron Science at Heinz Maier-Leibnitz Zentrum, Forschungszentrum Jülich GmbH, Garching, Germany
| | - Elisabeth Le Rumeur
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France
| | - Sophie Combet
- Laboratoire Léon-Brillouin, UMR 12 CEA-CNRS, Université Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, France.
| | - Jean-François Hubert
- Université de Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, CNRS UMR 6290, Rennes, France.
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8
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Carapito R, Carapito C, Morlon A, Paul N, Vaca Jacome AS, Alsaleh G, Rolli V, Tahar O, Aouadi I, Rompais M, Delalande F, Pichot A, Georgel P, Messer L, Sibilia J, Cianferani S, Van Dorsselaer A, Bahram S. Multi-OMICS analyses unveil STAT1 as a potential modifier gene in mevalonate kinase deficiency. Ann Rheum Dis 2018; 77:1675-1687. [PMID: 30030262 PMCID: PMC6225799 DOI: 10.1136/annrheumdis-2018-213524] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 06/14/2018] [Accepted: 06/30/2018] [Indexed: 12/20/2022]
Abstract
OBJECTIVES The objective of the present study was to explain why two siblings carrying both the same homozygous pathogenic mutation for the autoinflammatory disease hyper IgD syndrome, show opposite phenotypes, that is, the first being asymptomatic, the second presenting all classical characteristics of the disease. METHODS Where single omics (mainly exome) analysis fails to identify culprit genes/mutations in human complex diseases, multiomics analyses may provide solutions, although this has been seldom used in a clinical setting. Here we combine exome, transcriptome and proteome analyses to decipher at a molecular level, the phenotypic differences between the two siblings. RESULTS This multiomics approach led to the identification of a single gene-STAT1-which harboured a rare missense variant and showed a significant overexpression of both mRNA and protein in the symptomatic versus the asymptomatic sister. This variant was shown to be of gain of function nature, involved in an increased activation of the Janus kinase/signal transducer and activator of transcription signalling (JAK/STAT) pathway, known to play a critical role in inflammatory diseases and for which specific biotherapies presently exist. Pathway analyses based on information from differentially expressed transcripts and proteins confirmed the central role of STAT1 in the proposed regulatory network leading to an increased inflammatory phenotype in the symptomatic sibling. CONCLUSIONS This study demonstrates the power of a multiomics approach to uncover potential clinically actionable targets for a personalised therapy. In more general terms, we provide a proteogenomics analysis pipeline that takes advantage of subject-specific genomic and transcriptomic information to improve protein identification and hence advance individualised medicine.
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Affiliation(s)
- Raphael Carapito
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France
| | - Christine Carapito
- Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - Aurore Morlon
- Molecular Immunology Unit, BIOMICA SAS, Strasbourg, France
| | - Nicodème Paul
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Alvaro Sebastian Vaca Jacome
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - Ghada Alsaleh
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Véronique Rolli
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France
| | - Ouria Tahar
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France
| | - Ismail Aouadi
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France
| | - Magali Rompais
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - François Delalande
- Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - Angélique Pichot
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Philippe Georgel
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Laurent Messer
- Service de Rhumatologie, Hôpitaux Civils de Colmar, Colmar, France
| | - Jean Sibilia
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Service de Rhumatologie, Centre National de Référence pour les Maladies Autoimmunes Systémiques Rares, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Sarah Cianferani
- Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - Alain Van Dorsselaer
- Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Laboratoire de Spectrométrie de Masse BioOrganique, Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France
| | - Seiamak Bahram
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Plateforme GENOMAX, LabEx TRANSPLANTEX, Faculté de Médecine, Université de Strasbourg, Strasbourg, France.,Franco-Japanese Nextgen HLA laboratory, Laboratoire International Associé (LIA) INSERM, Nagano, Japan.,Fédération Hospitalo-Universitaire OMICARE, Université de Strasbourg, Strasbourg, France.,Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France.,Laboratoire d'Immunologie, Plateau Technique de Biologie, Pôle de Biologie, Nouvel Hôpital Civil, Strasbourg, France
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9
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N-terminome and proteogenomic analysis of the Methylobacterium extorquens DM4 reference strain for dichloromethane utilization. J Proteomics 2018; 179:131-139. [DOI: 10.1016/j.jprot.2018.03.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 02/28/2018] [Accepted: 03/16/2018] [Indexed: 12/29/2022]
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10
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Garcia L, Girod M, Rompais M, Dugourd P, Carapito C, Lemoine J. Data-Independent Acquisition Coupled to Visible Laser-Induced Dissociation at 473 nm (DIA-LID) for Peptide-Centric Specific Analysis of Cysteine-Containing Peptide Subset. Anal Chem 2018; 90:3928-3935. [PMID: 29465226 DOI: 10.1021/acs.analchem.7b04821] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Thanks to comprehensive and unbiased sampling of all precursor ions, the interest to move toward bottom-up proteomic with data-independent acquisition (DIA) is continuously growing. DIA offers precision and reproducibility performances comparable to true targeted methods but has the advantage of enabling retrospective data testing with the hypothetical presence of new proteins of interest. Nonetheless, the chimeric nature of DIA MS/MS spectra inherent to concomitant transmission of a multiplicity of precursor ions makes the confident identification of peptides often challenging, even with spectral library-based extraction strategy. The introduction of specificity at the fragmentation step upon ultraviolet or visible laser-induced dissociation (LID) range targeting only the subset of cysteine-containing peptides (Cys-peptide) has been proposed as an option to streamline and reduce the search space. Here, we describe the first coupling between DIA and visible LID at 473 nm to test for the presence of Cys-peptides with a peptide-centric approach. As a test run, a spectral library was built for a pool of Cys-synthetic peptides used as surrogates of human kinases (1 peptide per protein). By extracting ion chromatograms of query standard and kinase peptides spiked at different concentration levels in an Escherichia coli proteome lysate, DIA-LID demonstrates a dynamic range of detection of at least 3 decades and coefficients of precision better than 20%. Finally, the spectral library was used to search for endogenous kinases in human cellular extract.
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Affiliation(s)
- Lény Garcia
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , UMR 5280, 5 rue de la Doua , F-69100 Villeurbanne , France
| | - Marion Girod
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , UMR 5280, 5 rue de la Doua , F-69100 Villeurbanne , France
| | - Magali Rompais
- Laboratoire de Spectrométrie de Masse Bio-Organique (LSMBO), IPHC , Université de Strasbourg, CNRS , UMR 7178, 25 rue Becquerel , 67087 Strasbourg , France
| | - Philippe Dugourd
- Université de Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière , F-69622 Villeurbanne , France
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse Bio-Organique (LSMBO), IPHC , Université de Strasbourg, CNRS , UMR 7178, 25 rue Becquerel , 67087 Strasbourg , France
| | - Jérôme Lemoine
- Université de Lyon, CNRS, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, Institut des Sciences Analytiques , UMR 5280, 5 rue de la Doua , F-69100 Villeurbanne , France
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11
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Lacombe M, Marie-Desvergne C, Combes F, Kraut A, Bruley C, Vandenbrouck Y, Chamel Mossuz V, Couté Y, Brun V. Proteomic characterization of human exhaled breath condensate. J Breath Res 2018; 12:021001. [PMID: 29189203 DOI: 10.1088/1752-7163/aa9e71] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
To improve biomedical knowledge and to support biomarker discovery studies, it is essential to establish comprehensive proteome maps for human tissues and biofluids, and to make them publicly accessible. In this study, we performed an in-depth proteomics characterization of exhaled breath condensate (EBC), a sample obtained non-invasively by condensation of exhaled air that contains submicron droplets of airway lining fluid. Two pooled samples of EBC, each obtained from 10 healthy donors, were processed using a straightforward protocol based on sample lyophilization, in-gel digestion and liquid chromatography tandem-mass spectrometry analysis. Two 'technical' control samples were processed in parallel to the pooled samples to correct for exogenous protein contamination. A total of 229 unique proteins were identified in EBC among which 153 proteins were detected in both EBC pooled samples. A detailed bioinformatics analysis of these 153 proteins showed that most of the proteins identified corresponded to proteins secreted in the respiratory tract (lung, bronchi). Eight proteins were salivary proteins. Our dataset is described and has been made accessible through the ProteomeXchange database (dataset identifier: PXD007591) and is expected to be useful for future MS-based biomarker studies using EBC as the diagnostic specimen.
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Affiliation(s)
- Maud Lacombe
- Université Grenoble-Alpes, F-38000, Grenoble, France. CEA, BIG, Biologie à Grande Echelle, F-38054, Grenoble, France. Inserm, Unité 1038, F-38054, Grenoble, France
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12
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Manes NP, Nita-Lazar A. Application of targeted mass spectrometry in bottom-up proteomics for systems biology research. J Proteomics 2018; 189:75-90. [PMID: 29452276 DOI: 10.1016/j.jprot.2018.02.008] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 01/25/2018] [Accepted: 02/07/2018] [Indexed: 02/08/2023]
Abstract
The enormous diversity of proteoforms produces tremendous complexity within cellular proteomes, facilitates intricate networks of molecular interactions, and constitutes a formidable analytical challenge for biomedical researchers. Currently, quantitative whole-proteome profiling often relies on non-targeted liquid chromatography-mass spectrometry (LC-MS), which samples proteoforms broadly, but can suffer from lower accuracy, sensitivity, and reproducibility compared with targeted LC-MS. Recent advances in bottom-up proteomics using targeted LC-MS have enabled previously unachievable identification and quantification of target proteins and posttranslational modifications within complex samples. Consequently, targeted LC-MS is rapidly advancing biomedical research, especially systems biology research in diverse areas that include proteogenomics, interactomics, kinomics, and biological pathway modeling. With the recent development of targeted LC-MS assays for nearly the entire human proteome, targeted LC-MS is positioned to enable quantitative proteomic profiling of unprecedented quality and accessibility to support fundamental and clinical research. Here we review recent applications of bottom-up proteomics using targeted LC-MS for systems biology research. SIGNIFICANCE: Advances in targeted proteomics are rapidly advancing systems biology research. Recent applications include systems-level investigations focused on posttranslational modifications (such as phosphoproteomics), protein conformation, protein-protein interaction, kinomics, proteogenomics, and metabolic and signaling pathways. Notably, absolute quantification of metabolic and signaling pathway proteins has enabled accurate pathway modeling and engineering. Integration of targeted proteomics with other technologies, such as RNA-seq, has facilitated diverse research such as the identification of hundreds of "missing" human proteins (genes and transcripts that appear to encode proteins but direct experimental evidence was lacking).
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Affiliation(s)
- Nathan P Manes
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA
| | - Aleksandra Nita-Lazar
- Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
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13
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Yang MH, Chen WJ, Fu YS, Huang B, Tsai WC, Arthur Chen YM, Lin PC, Yuan CH, Tyan YC. Utilizing glycine N-methyltransferasegene knockout mice as a model for identification of missing proteins in hepatocellular carcinoma. Oncotarget 2017; 9:442-452. [PMID: 29416626 PMCID: PMC5787479 DOI: 10.18632/oncotarget.23064] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 11/13/2017] [Indexed: 11/25/2022] Open
Abstract
Glycine N-methyltransferase is a tumor suppressor gene for hepatocellular carcinoma, which can activate DNA methylation by inducing the S-adenosylmethionine to S-adenosylhomocystine. Previous studies have indicated that the expression of Glycine N-methyltransferase is inhibited in hepatocellular carcinoma. To confirm and identify missing proteins, the pathologic analysis of the tumor-bearing mice will provide critical histologic information. Such a mouse model is applied as a screening tool for hepatocellular carcinoma as well as a strategy for missing protein discovery. In this study we designed an analysis platform using the human proteome atlas to compare the possible missing proteins to human whole chromosomes. This will integrate the information from animal studies to establish an optimal technique in the missing protein biomarker discovery.
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Affiliation(s)
- Ming-Hui Yang
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Jou Chen
- Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yaw-Syan Fu
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Bin Huang
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wan-Chi Tsai
- Department of Medical Laboratory Science and Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Ming Arthur Chen
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Po-Chiao Lin
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Cheng-Hui Yuan
- Mass Spectrometry Laboratory, Department of Chemistry, National University of Singapore, Singapore
| | - Yu-Chang Tyan
- Center for Infectious Disease and Cancer Research, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung, Taiwan.,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
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14
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Beaumel S, Picciocchi A, Debeurme F, Vivès C, Hesse AM, Ferro M, Grunwald D, Stieglitz H, Thepchatri P, Smith SME, Fieschi F, Stasia MJ. Down-regulation of NOX2 activity in phagocytes mediated by ATM-kinase dependent phosphorylation. Free Radic Biol Med 2017; 113:1-15. [PMID: 28916473 PMCID: PMC5699957 DOI: 10.1016/j.freeradbiomed.2017.09.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 08/16/2017] [Accepted: 09/09/2017] [Indexed: 11/18/2022]
Abstract
NADPH oxidases (NOX) have many biological roles, but their regulation to control production of potentially toxic ROS molecules remains unclear. A previously identified insertion sequence of 21 residues (called NIS) influences NOX activity, and its predicted flexibility makes it a good candidate for providing a dynamic switch controlling the NOX active site. We constructed NOX2 chimeras in which NIS had been deleted or exchanged with those from other NOXs (NIS1, 3 and 4). All contained functional heme and were expressed normally at the plasma membrane of differentiated PLB-985 cells. However, NOX2-ΔNIS and NOX2-NIS1 had neither NADPH-oxidase nor reductase activity and exhibited abnormal translocation of p47phox and p67phox to the phagosomal membrane. This suggested a functional role of NIS. Interestingly after activation, NOX2-NIS3 cells exhibited superoxide overproduction compared with wild-type cells. Paradoxically, the Vmax of purified unstimulated NOX2-NIS3 was only one-third of that of WT-NOX2. We therefore hypothesized that post-translational events regulate NOX2 activity and differ between NOX2-NIS3 and WT-NOX2. We demonstrated that Ser486, a phosphorylation target of ataxia telangiectasia mutated kinase (ATM kinase) located in the NIS of NOX2 (NOX2-NIS), was phosphorylated in purified cytochrome b558 after stimulation with phorbol 12-myristate-13-acetate (PMA). Moreover, ATM kinase inhibition and a NOX2 Ser486Ala mutation enhanced NOX activity whereas a Ser486Glu mutation inhibited it. Thus, the absence of Ser486 in NIS3 could explain the superoxide overproduction in the NOX2-NIS3 mutant. These results suggest that PMA-stimulated NOX2-NIS phosphorylation by ATM kinase causes a dynamic switch that deactivates NOX2 activity. We hypothesize that this downregulation is defective in NOX2-NIS3 mutant because of the absence of Ser486.
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Affiliation(s)
- Sylvain Beaumel
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, F-38000 Grenoble, France; CDiReC, Pôle Biologie, CHU de Grenoble, Grenoble F-38043, France
| | - Antoine Picciocchi
- Univ. Grenoble Alpes, CNRS, CEA, Institut de Biologie Structurale, F-38044 Grenoble, France
| | - Franck Debeurme
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, F-38000 Grenoble, France
| | - Corinne Vivès
- Univ. Grenoble Alpes, CNRS, CEA, Institut de Biologie Structurale, F-38044 Grenoble, France
| | - Anne-Marie Hesse
- Univ. Grenoble Alpes, INSERM, CEA, Laboratoire de Biologie à Grande Echelle, Grenoble F-38054, France; Univ. Grenoble Alpes, CEA, INSERM, Laboratoire de Biologie du Cancer et de l'infection, Grenoble F-38000, France
| | - Myriam Ferro
- Univ. Grenoble Alpes, INSERM, CEA, Laboratoire de Biologie à Grande Echelle, Grenoble F-38054, France
| | - Didier Grunwald
- Univ. Grenoble Alpes, CEA, INSERM, Laboratoire de Biologie du Cancer et de l'infection, Grenoble F-38000, France
| | - Heather Stieglitz
- Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA
| | - Pahk Thepchatri
- Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA
| | - Susan M E Smith
- Department of Molecular and Cellular Biology, Kennesaw State University, Kennesaw, GA, USA
| | - Franck Fieschi
- Univ. Grenoble Alpes, CNRS, CEA, Institut de Biologie Structurale, F-38044 Grenoble, France
| | - Marie José Stasia
- Univ. Grenoble Alpes, CNRS, TIMC-IMAG, F-38000 Grenoble, France; CDiReC, Pôle Biologie, CHU de Grenoble, Grenoble F-38043, France.
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15
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Paik YK, Omenn GS, Hancock WS, Lane L, Overall CM. Advances in the Chromosome-Centric Human Proteome Project: looking to the future. Expert Rev Proteomics 2017; 14:1059-1071. [PMID: 29039980 DOI: 10.1080/14789450.2017.1394189] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The mission of the Chromosome-Centric Human Proteome Project (C-HPP), is to map and annotate the entire predicted human protein set (~20,000 proteins) encoded by each chromosome. The initial steps of the project are focused on 'missing proteins (MPs)', which lacked documented evidence for existence at protein level. In addition to remaining 2,579 MPs, we also target those annotated proteins having unknown functions, uPE1 proteins, alternative splice isoforms and post-translational modifications. We also consider how to investigate various protein functions involved in cis-regulatory phenomena, amplicons lncRNAs and smORFs. Areas covered: We will cover the scope, historic background, progress, challenges and future prospects of C-HPP. This review also addresses the question of how we can best improve the methodological approaches, select the optimal biological samples, and recommend stringent protocols for the identification and characterization of MPs. A new strategy for functional analysis of some of those annotated proteins having unknown function will also be discussed. Expert commentary: If the project moves well by reshaping the original goals, the current working modules and team work in the proposed extended planning period, it is anticipated that a progressively more detailed draft of an accurate chromosome-based proteome map will become available with functional information.
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Affiliation(s)
- Young-Ki Paik
- a Yonsei Proteome Research Center and Department of Biochemistry , Yonsei University , Seoul , Korea
| | - Gilbert S Omenn
- b Department of Computational Medicine & Bioinformatics , University of Michigan , Ann Arbor , MI , USA
| | - William S Hancock
- c Department of Chemical Biology , Northeastern University , Boston , Massachusetts 02115 , USA
| | - Lydie Lane
- d Department of Human Protein Sciences, Faculty of Medicine , University of Geneva , Geneva , Switzerland.,e Swiss Institute of Bioinformatics , Geneva , Switzerland
| | - Christopher M Overall
- f Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry , University of British Columbia , Vancouver , Canada
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16
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Wang Y, Chen Y, Zhang Y, Wei W, Li Y, Zhang T, He F, Gao Y, Xu P. Multi-Protease Strategy Identifies Three PE2 Missing Proteins in Human Testis Tissue. J Proteome Res 2017; 16:4352-4363. [PMID: 28959888 DOI: 10.1021/acs.jproteome.7b00340] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Although 5 years of the missing proteins (MPs) study have been completed, searching for MPs remains one of the core missions of the Chromosome-Centric Human Proteome Project (C-HPP). Following the next-50-MPs challenge of the C-HPP, we have focused on the testis-enriched MPs by various strategies since 2015. On the basis of the theoretical analysis of MPs (2017-01, neXtProt) using multiprotease digestion, we found that nonconventional proteases (e.g. LysargiNase, GluC) could improve the peptide diversity and sequence coverage compared with Trypsin. Therefore, a multiprotease strategy was used for searching more MPs in the same human testis tissues separated by 10% SDS-PAGE, followed by high resolution LC-MS/MS system (Q Exactive HF). A total of 7838 proteins were identified. Among them, three PE2 MPs in neXtProt 2017-01 have been identified: beta-defensin 123 ( Q8N688 , chr 20q), cancer/testis antigen family 45 member A10 ( P0DMU9 , chr Xq), and Histone H2A-Bbd type 2/3 ( P0C5Z0 , chr Xq). However, because only one unique peptide of ≥9 AA was identified in beta-defensin 123 and Histone H2A-Bbd type 2/3, respectively, further analysis indicates that each falls under the exceptions clause of the HPP Guidelines v2.1. After a spectrum quality check, isobaric PTM and single amino acid variant (SAAV) filtering, and verification with a synthesized peptide, and based on overlapping peptides from different proteases, these three MPs should be considered as exemplary examples of MPs found by exceptional criteria. Other MPs were considered as candidates but need further validation. All MS data sets have been deposited to the ProteomeXchange with identifier PXD006465.
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Affiliation(s)
- Yihao Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine , Beijing 100850, China
| | - Yang Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yao Zhang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, College of Ecology and Evolution, Sun Yat-Sen University , Guangzhou 510275, China
| | - Wei Wei
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yanchang Li
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Tao Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Fuchu He
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yue Gao
- Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine , Beijing 100850, China
| | - Ping Xu
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China.,Graduate School, Anhui Medical University , Hefei 230032, China.,Tianjin Baodi Hospital , Tianjin 301800, China
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17
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Guruceaga E, Garin-Muga A, Prieto G, Bejarano B, Marcilla M, Marín-Vicente C, Perez-Riverol Y, Casal JI, Vizcaíno JA, Corrales FJ, Segura V. Enhanced Missing Proteins Detection in NCI60 Cell Lines Using an Integrative Search Engine Approach. J Proteome Res 2017; 16:4374-4390. [PMID: 28960077 PMCID: PMC5737412 DOI: 10.1021/acs.jproteome.7b00388] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
![]()
The Human Proteome
Project (HPP) aims deciphering the complete
map of the human proteome. In the past few years, significant efforts
of the HPP teams have been dedicated to the experimental detection
of the missing proteins, which lack reliable mass spectrometry evidence
of their existence. In this endeavor, an in depth analysis of shotgun
experiments might represent a valuable resource to select a biological
matrix in design validation experiments. In this work, we used all
the proteomic experiments from the NCI60 cell lines and applied an
integrative approach based on the results obtained from Comet, Mascot,
OMSSA, and X!Tandem. This workflow benefits from the complementarity
of these search engines to increase the proteome coverage. Five missing
proteins C-HPP guidelines compliant were identified, although further
validation is needed. Moreover, 165 missing proteins were detected
with only one unique peptide, and their functional analysis supported
their participation in cellular pathways as was also proposed in other
studies. Finally, we performed a combined analysis of the gene expression
levels and the proteomic identifications from the common cell lines
between the NCI60 and the CCLE project to suggest alternatives for
further validation of missing protein observations.
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Affiliation(s)
- Elizabeth Guruceaga
- Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , Pamplona 31008, Spain.,IdiSNA, Navarra Institute for Health Research , Pamplona 31008, Spain
| | - Alba Garin-Muga
- Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , Pamplona 31008, Spain
| | - Gorka Prieto
- Department of Communications Engineering, University of the Basque Country (UPV/EHU) , Bilbao 48013, Spain
| | | | - Miguel Marcilla
- Proteomics Unit, Spanish National Biotechnology Centre, CSIC , Madrid 28049, Spain
| | | | - Yasset Perez-Riverol
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus , Hinxton, Cambridge CB10 1SD, U.K
| | | | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus , Hinxton, Cambridge CB10 1SD, U.K
| | - Fernando J Corrales
- Proteomics Unit, Spanish National Biotechnology Centre, CSIC , Madrid 28049, Spain
| | - Victor Segura
- Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , Pamplona 31008, Spain.,IdiSNA, Navarra Institute for Health Research , Pamplona 31008, Spain
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18
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Carapito C, Duek P, Macron C, Seffals M, Rondel K, Delalande F, Lindskog C, Fréour T, Vandenbrouck Y, Lane L, Pineau C. Validating Missing Proteins in Human Sperm Cells by Targeted Mass-Spectrometry- and Antibody-based Methods. J Proteome Res 2017; 16:4340-4351. [DOI: 10.1021/acs.jproteome.7b00374] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Christine Carapito
- Laboratoire
de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, Strasbourg F-67087, France
| | - Paula Duek
- CALIPHO
Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet
1, CH-1211 Geneva
4, Switzerland
| | - Charlotte Macron
- Laboratoire
de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, Strasbourg F-67087, France
| | - Marine Seffals
- H2P2
Core facility, UMS BioSit, University of Rennes 1, Rennes F-35040, France
| | - Karine Rondel
- Protim,
Inserm U1085, Irset, Campus de Beaulieu, Rennes F-35042, France
| | - François Delalande
- Laboratoire
de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, Strasbourg F-67087, France
| | - Cecilia Lindskog
- Department
of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Thomas Fréour
- Service de
Médecine de la Reproduction, CHU de Nantes, 38 boulevard
Jean Monnet, Nantes F-44093, France
- Inserm UMR1064, Nantes F-44093, France
| | - Yves Vandenbrouck
- CEA, DRF, BIG,
Laboratoire de Biologie à Grande Echelle, 17, rue des Martyrs, Grenoble F-38054, France
- Inserm U1038, Grenoble F-38054, France
- Grenoble-Alpes University, Grenoble F-38054, France
| | - Lydie Lane
- CALIPHO
Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet
1, CH-1211 Geneva
4, Switzerland
- Department
of Human Protein Sciences, Faculty of Medicine, University of Geneva, 1, rue Michel-Servet, 1211 Geneva 4, Switzerland
| | - Charles Pineau
- Protim,
Inserm U1085, Irset, Campus de Beaulieu, Rennes F-35042, France
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19
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Colinet H, Pineau C, Com E. Large scale phosphoprotein profiling to explore Drosophila cold acclimation regulatory mechanisms. Sci Rep 2017; 7:1713. [PMID: 28490779 PMCID: PMC5431823 DOI: 10.1038/s41598-017-01974-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2017] [Accepted: 04/10/2017] [Indexed: 11/16/2022] Open
Abstract
The regulatory mechanisms involved in the acquisition of thermal tolerance are unknown in insects. Reversible phosphorylation is a widespread post-translational modification that can rapidly alter proteins function(s). Here, we conducted a large-scale comparative screening of phosphorylation networks in adult Drosophila flies that were cold-acclimated versus control. Using a modified SIMAC method followed by a multiple MS analysis strategy, we identified a large collection of phosphopeptides (about 1600) and phosphoproteins (about 500) in both groups, with good enrichment efficacy (80%). The saturation curves from the four biological replicates revealed that the phosphoproteome was rather well covered under our experimental conditions. Acclimation evoked a strong phosphoproteomic signal characterized by large sets of unique and differential phosphoproteins. These were involved in several major GO superclusters of which cytoskeleton organization, positive regulation of transport, cell cycle, and RNA processing were particularly enriched. Data suggest that phosphoproteomic changes in response to acclimation were mainly localized within cytoskeletal network, and particularly within microtubule associated complexes. This study opens up novel research avenues for exploring the complex regulatory networks that lead to acquired thermal tolerance.
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Affiliation(s)
- Hervé Colinet
- Université de Rennes 1, UMR CNRS 6553 ECOBIO, 263 avenue du Général-Leclerc, 35042, Rennes, France.
| | - Charles Pineau
- Protim, Inserm U1085, IRSET, Campus de Beaulieu, 35042, Rennes, France
| | - Emmanuelle Com
- Protim, Inserm U1085, IRSET, Campus de Beaulieu, 35042, Rennes, France
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20
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Lemaître-Guillier C, Hovasse A, Schaeffer-Reiss C, Recorbet G, Poinssot B, Trouvelot S, Daire X, Adrian M, Héloir MC. Proteomics towards the understanding of elicitor induced resistance of grapevine against downy mildew. J Proteomics 2017; 156:113-125. [PMID: 28153682 DOI: 10.1016/j.jprot.2017.01.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 01/19/2017] [Accepted: 01/27/2017] [Indexed: 01/07/2023]
Abstract
Elicitors are known to trigger plant defenses in response to biotic stress, but do not systematically lead to effective resistance to pathogens. The reasons explaining such differences remain misunderstood. Therefore, elicitation and induced resistance (IR) were investigated through the comparison of two modified β-1,3 glucans applied on grapevine (Vitis vinifera) leaves before and after inoculation with Plasmopara viticola, the causal agent of downy mildew. The sulfated (PS3) and the shortened (H13) forms of laminarin are both known to elicit defense responses whereas only PS3 induces resistance against downy mildew. The analysis of the 2-DE gel electrophoresis revealed that PS3 and H13 induced distinct proteomic profiles after treatment and pathogen inoculation. Our results point out that the PS3-induced resistance is associated with the activation of the primary metabolism especially on amino acids and carbohydrates pathways. In addition, few proteins, such as the 12-oxophytodienoate reductase (OPR-like) related to the OPDA pathway, and an Arsenite-resistance protein (Serrate-like protein) could be considered as useful markers of induced resistance. SIGNIFICANCE One strategy to reduce the application of fungicides is the use of elicitors which induce plant defense responses. Nonetheless, the elicitors do not systematically lead to resistance against pathogens. The lack of correlation between plant defense activation and induced resistance (IR) requires the investigation of what makes the specificity of elicitor-IR. In this study, the two β-glucans elicitors, sulfated (PS3) and short (H13) laminarins, were used in the grapevine/Plasmopara viticola interaction since only the first one leads to resistance against downy mildew. To disclose IR specificity, proteomic approach has been employed to compare the two treatments before and after P. viticola inoculation. The analysis of the 2-DE revealed that PS3 and H13 induced distinct proteomic profiles after treatment and pathogen inoculation. Significant increase of the number of proteins regulated by PS3, relative to both H13 and time-points, is correlated with the resistance process establishment. Our results point that the PS3-induced resistance requires the activation of the primary metabolism especially on amino acids and carbohydrates pathways. In addition, few proteins, such as the 12-oxophytodienoate reductase (OPR-like) related to the OPDA pathway, and an Arsenite-resistance protein (Serrate-like protein) could constitute useful markers of PS3 induced resistance.
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Affiliation(s)
- Christelle Lemaître-Guillier
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France.
| | - Agnès Hovasse
- Laboratoire de Spectrométrie de Masse BioOrganique, Université Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
| | - Christine Schaeffer-Reiss
- Laboratoire de Spectrométrie de Masse BioOrganique, Université Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France
| | - Ghislaine Recorbet
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
| | - Benoît Poinssot
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
| | - Sophie Trouvelot
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
| | - Xavier Daire
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
| | - Marielle Adrian
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
| | - Marie-Claire Héloir
- Agroécologie, AgroSup Dijon, INRA, CNRS ERL 6003, Université Bourgogne Franche-Comté, UMR1347, 17 rue de Sully, F-21000 Dijon, France
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21
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El Kennani S, Adrait A, Shaytan AK, Khochbin S, Bruley C, Panchenko AR, Landsman D, Pflieger D, Govin J. MS_HistoneDB, a manually curated resource for proteomic analysis of human and mouse histones. Epigenetics Chromatin 2017; 10:2. [PMID: 28096900 PMCID: PMC5223428 DOI: 10.1186/s13072-016-0109-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 12/14/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Histones and histone variants are essential components of the nuclear chromatin. While mass spectrometry has opened a large window to their characterization and functional studies, their identification from proteomic data remains challenging. Indeed, the current interpretation of mass spectrometry data relies on public databases which are either not exhaustive (Swiss-Prot) or contain many redundant entries (UniProtKB or NCBI). Currently, no protein database is ideally suited for the analysis of histones and the complex array of mammalian histone variants. RESULTS We propose two proteomics-oriented manually curated databases for mouse and human histone variants. We manually curated >1700 gene, transcript and protein entries to produce a non-redundant list of 83 mouse and 85 human histones. These entries were annotated in accordance with the current nomenclature and unified with the "HistoneDB2.0 with Variants" database. This resource is provided in a format that can be directly read by programs used for mass spectrometry data interpretation. In addition, it was used to interpret mass spectrometry data acquired on histones extracted from mouse testis. Several histone variants, which had so far only been inferred by homology or detected at the RNA level, were detected by mass spectrometry, confirming the existence of their protein form. CONCLUSIONS Mouse and human histone entries were collected from different databases and subsequently curated to produce a non-redundant protein-centric resource, MS_HistoneDB. It is dedicated to the proteomic study of histones in mouse and human and will hopefully facilitate the identification and functional study of histone variants.
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Affiliation(s)
- Sara El Kennani
- INSERM, U1038, CEA, BIG FR CNRS 3425-BGE, Université Grenoble Alpes, Grenoble, France
| | - Annie Adrait
- INSERM, U1038, CEA, BIG FR CNRS 3425-BGE, Université Grenoble Alpes, Grenoble, France
| | - Alexey K Shaytan
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 USA
| | - Saadi Khochbin
- CNRS UMR 5309 INSERM U1209, Institute of Advanced Biosciences, Université Grenoble Alpes, Grenoble, France
| | - Christophe Bruley
- INSERM, U1038, CEA, BIG FR CNRS 3425-BGE, Université Grenoble Alpes, Grenoble, France
| | - Anna R Panchenko
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 USA
| | - David Landsman
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894 USA
| | - Delphine Pflieger
- INSERM, U1038, CEA, BIG FR CNRS 3425-BGE, Université Grenoble Alpes, Grenoble, France
| | - Jérôme Govin
- INSERM, U1038, CEA, BIG FR CNRS 3425-BGE, Université Grenoble Alpes, Grenoble, France
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22
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Two proteomic methodologies for defining N-termini of mature human mitochondrial aminoacyl-tRNA synthetases. Methods 2017; 113:111-119. [DOI: 10.1016/j.ymeth.2016.10.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 10/21/2016] [Accepted: 10/24/2016] [Indexed: 11/21/2022] Open
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23
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Segura V, Garin-Muga A, Guruceaga E, Corrales FJ. Progress and pitfalls in finding the 'missing proteins' from the human proteome map. Expert Rev Proteomics 2016; 14:9-14. [PMID: 27885863 DOI: 10.1080/14789450.2017.1265450] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
INTRODUCTION The Human Proteome Project was launched with two main goals: the comprehensive and systematic definition of the human proteome map and the development of ready to use analytical tools to measure relevant proteins in their biological context in health and disease. Despite the great progress in this endeavour, there is still a group of reluctant proteins with no, or scarce, experimental evidence supporting their existence. These are called the 'missing proteins' and represent one of the biggest challenges to complete the human proteome map. Areas covered: This review focuses on the description of the missing proteome based on the HUPO standards, the analysis of the reasons explaining the difficulty of detecting missing proteins and the strategies currently used in the search for missing proteins. The present and future of the quest for the missing proteins is critically revised hereafter. Expert commentary: An overarching multidisciplinary effort is currently being done under the HUPO umbrella to allow completion of the human proteome map. It is expected that the detection of missing proteins will grow in the coming years since the methods and the best tissue/cell type sample for their search are already on the table.
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Affiliation(s)
- Victor Segura
- a Proteomics and Bioinformatics Laboratory, CIMA , University of Navarra , Pamplona , Spain
| | - Alba Garin-Muga
- a Proteomics and Bioinformatics Laboratory, CIMA , University of Navarra , Pamplona , Spain
| | - Elizabeth Guruceaga
- a Proteomics and Bioinformatics Laboratory, CIMA , University of Navarra , Pamplona , Spain
| | - Fernando J Corrales
- a Proteomics and Bioinformatics Laboratory, CIMA , University of Navarra , Pamplona , Spain
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24
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Garin-Muga A, Odriozola L, Martínez-Val A, Del Toro N, Martínez R, Molina M, Cantero L, Rivera R, Garrido N, Dominguez F, Sanchez Del Pino MM, Vizcaíno JA, Corrales FJ, Segura V. Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence. J Proteome Res 2016; 15:4101-4115. [PMID: 27581094 PMCID: PMC5099979 DOI: 10.1021/acs.jproteome.6b00437] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
![]()
The current catalogue of the human
proteome is not yet complete,
as experimental proteomics evidence is still elusive for a group of
proteins known as the missing proteins. The Human Proteome Project
(HPP) has been successfully using technology and bioinformatic resources
to improve the characterization of such challenging proteins. In this
manuscript, we propose a pipeline starting with the mining of the
PRIDE database to select a group of data sets potentially enriched
in missing proteins that are subsequently analyzed for protein identification
with a method based on the statistical analysis of proteotypic peptides.
Spermatozoa and the HEK293 cell line were found to be a promising
source of missing proteins and clearly merit further attention in
future studies. After the analysis of the selected samples, we found
342 PSMs, suggesting the presence of 97 missing proteins in human
spermatozoa or the HEK293 cell line, while only 36 missing proteins
were potentially detected in the retina, frontal cortex, aorta thoracica,
or placenta. The functional analysis of the missing proteins detected
confirmed their tissue specificity, and the validation of a selected
set of peptides using targeted proteomics (SRM/MRM assays) further
supports the utility of the proposed pipeline. As illustrative examples,
DNAH3 and TEPP in spermatozoa, and UNCX and ATAD3C in HEK293 cells
were some of the more robust and remarkable identifications in this
study. We provide evidence indicating the relevance to carefully analyze
the ever-increasing MS/MS data available from PRIDE and other repositories
as sources for missing proteins detection in specific biological matrices
as revealed for HEK293 cells.
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Affiliation(s)
- Alba Garin-Muga
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain
| | - Leticia Odriozola
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research , 31008, Pamplona, Spain
| | - Ana Martínez-Val
- Proteomics Unit, Spanish National Cancer Research Centre , 28029, Madrid, Spain
| | - Noemí Del Toro
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust GenomeCampus, Hinxton, Cambridge, CB10 1SD, U.K
| | - Rocío Martínez
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain
| | - Manuela Molina
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain
| | - Laura Cantero
- Proteomics Unit (SCSIE), University of Valencia , 46010, Valencia, Spain
| | - Rocío Rivera
- Andrology Laboratory and Sperm Bank, Instituto Universitario IVI , 46015, Valencia, Spain
| | - Nicolás Garrido
- Andrology Laboratory and Sperm Bank, Instituto Universitario IVI , 46015, Valencia, Spain
| | | | | | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory, European Bioinformatics Institute , Wellcome Trust GenomeCampus, Hinxton, Cambridge, CB10 1SD, U.K
| | - Fernando J Corrales
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research , 31008, Pamplona, Spain.,Division of Hepatology and Gene Therapy, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain
| | - Victor Segura
- Proteomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra , 31008, Pamplona, Spain.,IdiSNA, Navarra Institute for Health Research , 31008, Pamplona, Spain
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25
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Wei W, Luo W, Wu F, Peng X, Zhang Y, Zhang M, Zhao Y, Su N, Qi Y, Chen L, Zhang Y, Wen B, He F, Xu P. Deep Coverage Proteomics Identifies More Low-Abundance Missing Proteins in Human Testis Tissue with Q-Exactive HF Mass Spectrometer. J Proteome Res 2016; 15:3988-3997. [PMID: 27535590 DOI: 10.1021/acs.jproteome.6b00390] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Since 2012, missing proteins (MPs) investigation has been one of the critical missions of Chromosome-Centric Human Proteome Project (C-HPP) through various biochemical strategies. On the basis of our previous testis MPs study, faster scanning and higher resolution mass-spectrometry-based proteomics might be conducive to MPs exploration, especially for low-abundance proteins. In this study, Q-Exactive HF (HF) was used to survey proteins from the same testis tissues separated by two separating methods (tricine- and glycine-SDS-PAGE), as previously described. A total of 8526 proteins were identified, of which more low-abundance proteins were uniquely detected in HF data but not in our previous LTQ Orbitrap Velos (Velos) reanalysis data. Further transcriptomics analysis showed that these uniquely identified proteins by HF also had lower expression at the mRNA level. Of the 81 total identified MPs, 74 and 39 proteins were listed as MPs in HF and Velos data sets, respectively. Among the above MPs, 47 proteins (43 neXtProt PE2 and 4 PE3) were ranked as confirmed MPs after verifying with the stringent spectra match and isobaric and single amino acid variants filtering. Functional investigation of these 47 MPs revealed that 11 MPs were testis-specific proteins and 7 MPs were involved in spermatogenesis process. Therefore, we concluded that higher scanning speed and resolution of HF might be factors for improving the low-abundance MP identification in future C-HPP studies. All mass-spectrometry data from this study have been deposited in the ProteomeXchange with identifier PXD004092.
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Affiliation(s)
- Wei Wei
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Weijia Luo
- Graduate School, Anhui Medical University , Hefei 230032, China
| | - Feilin Wu
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Life Science College, Southwest Forestry University , Kunming, 650224, China
| | - Xuehui Peng
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China
| | - Yao Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Institute of Microbiology , Chinese Academy of Science, Beijing 100101, China
| | - Manli Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yan Zhao
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Na Su
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - YingZi Qi
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Lingsheng Chen
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Yangjun Zhang
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Bo Wen
- BGI-Shenzhen , Shenzhen 518083, China
| | - Fuchu He
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China
| | - Ping Xu
- State Key Laboratory of Proteomics, National Center for Protein Sciences Beijing, Beijing Proteome Research Center, National Engineering Research Center for Protein Drugs, Beijing Institute of Radiation Medicine , Beijing 102206, China.,Graduate School, Anhui Medical University , Hefei 230032, China.,Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China
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26
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Vandenbrouck Y, Lane L, Carapito C, Duek P, Rondel K, Bruley C, Macron C, Gonzalez de Peredo A, Couté Y, Chaoui K, Com E, Gateau A, Hesse AM, Marcellin M, Méar L, Mouton-Barbosa E, Robin T, Burlet-Schiltz O, Cianferani S, Ferro M, Fréour T, Lindskog C, Garin J, Pineau C. Looking for Missing Proteins in the Proteome of Human Spermatozoa: An Update. J Proteome Res 2016; 15:3998-4019. [PMID: 27444420 DOI: 10.1021/acs.jproteome.6b00400] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The Chromosome-Centric Human Proteome Project (C-HPP) aims to identify "missing" proteins in the neXtProt knowledgebase. We present an in-depth proteomics analysis of the human sperm proteome to identify testis-enriched missing proteins. Using protein extraction procedures and LC-MS/MS analysis, we detected 235 proteins (PE2-PE4) for which no previous evidence of protein expression was annotated. Through LC-MS/MS and LC-PRM analysis, data mining, and immunohistochemistry, we confirmed the expression of 206 missing proteins (PE2-PE4) in line with current HPP guidelines (version 2.0). Parallel reaction monitoring acquisition and sythetic heavy labeled peptides targeted 36 ≪one-hit wonder≫ candidates selected based on prior peptide spectrum match assessment. 24 were validated with additional predicted and specifically targeted peptides. Evidence was found for 16 more missing proteins using immunohistochemistry on human testis sections. The expression pattern for some of these proteins was specific to the testis, and they could possibly be valuable markers with fertility assessment applications. Strong evidence was also found of four "uncertain" proteins (PE5); their status should be re-examined. We show how using a range of sample preparation techniques combined with MS-based analysis, expert knowledge, and complementary antibody-based techniques can produce data of interest to the community. All MS/MS data are available via ProteomeXchange under identifier PXD003947. In addition to contributing to the C-HPP, we hope these data will stimulate continued exploration of the sperm proteome.
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Affiliation(s)
- Yves Vandenbrouck
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Lydie Lane
- Department of Human Protein Sciences, Faculty of Medicine, University of Geneva , 1, rue Michel-Servet, 1211 Geneva 4, Switzerland.,CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU , rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Christine Carapito
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, 67087 Strasbourg, France
| | - Paula Duek
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU , rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Karine Rondel
- Protim, Inserm U1085, Irset, Campus de Beaulieu, Rennes 35042, France
| | - Christophe Bruley
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Charlotte Macron
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, 67087 Strasbourg, France
| | - Anne Gonzalez de Peredo
- Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
| | - Yohann Couté
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Karima Chaoui
- Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
| | - Emmanuelle Com
- Protim, Inserm U1085, Irset, Campus de Beaulieu, Rennes 35042, France
| | - Alain Gateau
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU , rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Anne-Marie Hesse
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Marlene Marcellin
- Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
| | - Loren Méar
- Protim, Inserm U1085, Irset, Campus de Beaulieu, Rennes 35042, France
| | - Emmanuelle Mouton-Barbosa
- Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
| | - Thibault Robin
- Proteome Informatics Group, Centre Universitaire d'Informatique , Route de Drize 7, 1227 Carouge, CH, Switzerland
| | - Odile Burlet-Schiltz
- Institut de Pharmacologie et de Biologie Structurale, Université de Toulouse, CNRS, UPS, 31062 Toulouse, France
| | - Sarah Cianferani
- Laboratoire de Spectrométrie de Masse BioOrganique (LSMBO), IPHC, Université de Strasbourg, CNRS UMR7178, 25 Rue Becquerel, 67087 Strasbourg, France
| | - Myriam Ferro
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Thomas Fréour
- Service de Médecine de la Reproduction, CHU de Nantes , 38 boulevard Jean Monnet, 44093 Nantes cedex, France.,INSERM UMR1064 , Nantes 44093, France
| | - Cecilia Lindskog
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France
| | - Jérôme Garin
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17 rue des martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Charles Pineau
- Protim, Inserm U1085, Irset, Campus de Beaulieu, Rennes 35042, France
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27
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Duek P, Bairoch A, Gateau A, Vandenbrouck Y, Lane L. Missing Protein Landscape of Human Chromosomes 2 and 14: Progress and Current Status. J Proteome Res 2016; 15:3971-3978. [PMID: 27487287 DOI: 10.1021/acs.jproteome.6b00443] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Within the C-HPP, the Swiss and French teams are responsible for the annotation of proteins from chromosomes 2 and 14, respectively. neXtProt currently reports 1231 entries on chromosome 2 and 624 entries on chromosome 14; of these, 134 and 93 entries are still not experimentally validated and are thus considered as "missing proteins" (PE2-4), respectively. Among these entries, some may never be validated by conventional MS/MS approaches because of incompatible biochemical features. Others have already been validated but are still awaiting annotation. On the basis of information retrieved from the literature and from three of the main C-HPP resources (Human Protein Atlas, PeptideAtlas, and neXtProt), a subset of 40 theoretically detectable missing proteins (25 on chromosome 2 and 15 on chromosome 14) was defined for upcoming targeted studies in sperm samples. This list is proposed as a roadmap for the French and Swiss teams in the near future.
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Affiliation(s)
- Paula Duek
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Amos Bairoch
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland.,Department of Human Protein Sciences, Faculty of Medicine, University of Geneva , CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Alain Gateau
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
| | - Yves Vandenbrouck
- CEA, DRF, BIG, Laboratoire de Biologie à Grande Echelle, 17, rue des Martyrs, Grenoble F-38054, France.,Inserm U1038 , 17, rue des Martyrs, Grenoble F-38054, France.,Université de Grenoble , Grenoble F-38054, France
| | - Lydie Lane
- CALIPHO Group, SIB-Swiss Institute of Bioinformatics, CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland.,Department of Human Protein Sciences, Faculty of Medicine, University of Geneva , CMU, rue Michel-Servet 1, CH-1211 Geneva 4, Switzerland
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28
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Elguoshy A, Magdeldin S, Xu B, Hirao Y, Zhang Y, Kinoshita N, Takisawa Y, Nameta M, Yamamoto K, El-Refy A, El-Fiky F, Yamamoto T. Why are they missing? : Bioinformatics characterization of missing human proteins. J Proteomics 2016; 149:7-14. [PMID: 27535355 DOI: 10.1016/j.jprot.2016.08.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 07/17/2016] [Accepted: 08/08/2016] [Indexed: 12/19/2022]
Abstract
NeXtProt is a web-based protein knowledge platform that supports research on human proteins. NeXtProt (release 2015-04-28) lists 20,060 proteins, among them, 3373 canonical proteins (16.8%) lack credible experimental evidence at protein level (PE2:PE5). Therefore, they are considered as "missing proteins". A comprehensive bioinformatic workflow has been proposed to analyze these "missing" proteins. The aims of current study were to analyze physicochemical properties, existence and distribution of the tryptic cleavage sites, and to pinpoint the signature peptides of the missing proteins. Our findings showed that 23.7% of missing proteins were hydrophobic proteins possessing transmembrane domains (TMD). Also, forty missing entries generate tryptic peptides were either out of mass detection range (>30aa) or mapped to different proteins (<9aa). Additionally, 21% of missing entries didn't generate any unique tryptic peptides. In silico endopeptidase combination strategy increased the possibility of missing proteins identification. Coherently, using both mature protein database and signal peptidome database could be a promising option to identify some missing proteins by targeting their unique N-terminal tryptic peptide from mature protein database and or C-terminus tryptic peptide from signal peptidome database. In conclusion, Identification of missing protein requires additional consideration during sample preparation, extraction, digestion and data analysis to increase its incidence of identification.
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Affiliation(s)
- Amr Elguoshy
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan; Biotechnology Department, Faculty of Agriculture, Al-Azhar University, Cairo 11682, Egypt
| | - Sameh Magdeldin
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan; Department of Physiology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, Egypt
| | - Bo Xu
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Yoshitoshi Hirao
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Ying Zhang
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Naohiko Kinoshita
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Yusuke Takisawa
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Masaaki Nameta
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Keiko Yamamoto
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan
| | - Ali El-Refy
- Biotechnology Department, Faculty of Agriculture, Al-Azhar University, Cairo 11682, Egypt
| | - Fawzy El-Fiky
- Biotechnology Department, Faculty of Agriculture, Al-Azhar University, Cairo 11682, Egypt
| | - Tadashi Yamamoto
- Biofluid Biomarker Center, Institute of Social innovation and Co-operation, Niigata University, Niigata 951-2181, Japan.
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29
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Paik YK, Omenn GS, Overall CM, Deutsch EW, Hancock WS. Recent Advances in the Chromosome-Centric Human Proteome Project: Missing Proteins in the Spot Light. J Proteome Res 2016; 14:3409-14. [PMID: 26337862 DOI: 10.1021/acs.jproteome.5b00785] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Young-Ki Paik
- Yonsei Proteome Research Center, Yonsei University , Seoul 120-749, Korea
| | - Gilbert S Omenn
- Center for Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan 48109, United States.,Yonsei Proteome Research Center, Yonsei University , Seoul 120-749, Korea
| | - Christopher M Overall
- Department of Biochemistry and Molecular Biology, University of British Columbia , Vancouver, British Columbia V6T 1Z3, Canada.,Yonsei Proteome Research Center, Yonsei University , Seoul 120-749, Korea
| | - Eric W Deutsch
- Institute for Systems Biology , Seattle, Washington 98109, United States.,Yonsei Proteome Research Center, Yonsei University , Seoul 120-749, Korea
| | - William S Hancock
- Department of Chemical Biology, Northeastern University , Boston, Massachusetts 02115, United States.,Yonsei Proteome Research Center, Yonsei University , Seoul 120-749, Korea
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30
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Zhu X, Xie S, Armengaud J, Xie W, Guo Z, Kang S, Wu Q, Wang S, Xia J, He R, Zhang Y. Tissue-specific Proteogenomic Analysis of Plutella xylostella Larval Midgut Using a Multialgorithm Pipeline. Mol Cell Proteomics 2016; 15:1791-807. [PMID: 26902207 PMCID: PMC5083088 DOI: 10.1074/mcp.m115.050989] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2015] [Revised: 02/04/2016] [Indexed: 11/06/2022] Open
Abstract
The diamondback moth, Plutella xylostella (L.), is the major cosmopolitan pest of brassica and other cruciferous crops. Its larval midgut is a dynamic tissue that interfaces with a wide variety of toxicological and physiological processes. The draft sequence of the P. xylostella genome was recently released, but its annotation remains challenging because of the low sequence coverage of this branch of life and the poor description of exon/intron splicing rules for these insects. Peptide sequencing by computational assignment of tandem mass spectra to genome sequence information provides an experimental independent approach for confirming or refuting protein predictions, a concept that has been termed proteogenomics. In this study, we carried out an in-depth proteogenomic analysis to complement genome annotation of P. xylostella larval midgut based on shotgun HPLC-ESI-MS/MS data by means of a multialgorithm pipeline. A total of 876,341 tandem mass spectra were searched against the predicted P. xylostella protein sequences and a whole-genome six-frame translation database. Based on a data set comprising 2694 novel genome search specific peptides, we discovered 439 novel protein-coding genes and corrected 128 existing gene models. To get the most accurate data to seed further insect genome annotation, more than half of the novel protein-coding genes, i.e. 235 over 439, were further validated after RT-PCR amplification and sequencing of the corresponding transcripts. Furthermore, we validated 53 novel alternative splicings. Finally, a total of 6764 proteins were identified, resulting in one of the most comprehensive proteogenomic study of a nonmodel animal. As the first tissue-specific proteogenomics analysis of P. xylostella, this study provides the fundamental basis for high-throughput proteomics and functional genomics approaches aimed at deciphering the molecular mechanisms of resistance and controlling this pest.
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Affiliation(s)
- Xun Zhu
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | | | - Jean Armengaud
- ¶CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory, BP 17171, F-30200, Bagnols-sur-Cèze, F-30207, France
| | - Wen Xie
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhaojiang Guo
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shi Kang
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qingjun Wu
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shaoli Wang
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jixing Xia
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Rongjun He
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Youjun Zhang
- From the ‡Department of Plant Protection, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, 100081, China;
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31
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Sallou O, Duek PD, Darde TA, Collin O, Lane L, Chalmel F. PepPSy: a web server to prioritize gene products in experimental and biocuration workflows. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2016; 2016:baw070. [PMID: 27173522 PMCID: PMC4865363 DOI: 10.1093/database/baw070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 04/13/2016] [Indexed: 12/03/2022]
Abstract
Among the 20 000 human gene products predicted from genome annotation, about 3000 still lack validation at protein level. We developed PepPSy, a user-friendly gene expression-based prioritization system, to help investigators to determine in which human tissues they should look for an unseen protein. PepPSy can also be used by biocurators to revisit the annotation of specific categories of proteins based on the ‘omics’ data housed by the system. In this study, it was used to prioritize 21 dubious protein-coding genes among the 616 annotated in neXtProt for reannotation. PepPSy is freely available at http://peppsy.genouest.org. Database URL:http://peppsy.genouest.org.
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Affiliation(s)
- Olivier Sallou
- Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France
| | - Paula D Duek
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Michel Servet 1, Geneva 1211, Switzerland
| | - Thomas A Darde
- Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France IRSET, Inserm U1085, 9 avenue du Professeur Léon Bernard, Rennes 35000, France
| | - Olivier Collin
- Genouest Bioinformatics Platform, IRISA, Campus de Beaulieu, Rennes 35042, France
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Michel Servet 1, Geneva 1211, Switzerland Department of Human Protein Sciences, Faculty of Medicine, University of Geneva, CMU, Michel Servet 1, Geneva 1211, Switzerland
| | - Frédéric Chalmel
- IRSET, Inserm U1085, 9 avenue du Professeur Léon Bernard, Rennes 35000, France
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32
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Kim M, Hwang D. Network-Based Protein Biomarker Discovery Platforms. Genomics Inform 2016; 14:2-11. [PMID: 27103885 PMCID: PMC4838525 DOI: 10.5808/gi.2016.14.1.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 01/06/2016] [Accepted: 01/07/2016] [Indexed: 02/06/2023] Open
Abstract
The advances in mass spectrometry-based proteomics technologies have enabled the generation of global proteome data from tissue or body fluid samples collected from a broad spectrum of human diseases. Comparative proteomic analysis of global proteome data identifies and prioritizes the proteins showing altered abundances, called differentially expressed proteins (DEPs), in disease samples, compared to control samples. Protein biomarker candidates that can serve as indicators of disease states are then selected as key molecules among these proteins. Recently, it has been addressed that cellular pathways can provide better indications of disease states than individual molecules and also network analysis of the DEPs enables effective identification of cellular pathways altered in disease conditions and key molecules representing the altered cellular pathways. Accordingly, a number of network-based approaches to identify disease-related pathways and representative molecules of such pathways have been developed. In this review, we summarize analytical platforms for network-based protein biomarker discovery and key components in the platforms.
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Affiliation(s)
- Minhyung Kim
- Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea
| | - Daehee Hwang
- Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea
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33
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Jumeau F, Com E, Lane L, Duek P, Lagarrigue M, Lavigne R, Guillot L, Rondel K, Gateau A, Melaine N, Guével B, Sergeant N, Mitchell V, Pineau C. Human Spermatozoa as a Model for Detecting Missing Proteins in the Context of the Chromosome-Centric Human Proteome Project. J Proteome Res 2015; 14:3606-20. [PMID: 26168773 DOI: 10.1021/acs.jproteome.5b00170] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The Chromosome-Centric Human Proteome Project (C-HPP) aims at cataloguing the proteins as gene products encoded by the human genome in a chromosome-centric manner. The existence of products of about 82% of the genes has been confirmed at the protein level. However, the number of so-called "missing proteins" remains significant. It was recently suggested that the expression of proteins that have been systematically missed might be restricted to particular organs or cell types, for example, the testis. Testicular function, and spermatogenesis in particular, is conditioned by the successive activation or repression of thousands of genes and proteins including numerous germ cell- and testis-specific products. Both the testis and postmeiotic germ cells are thus promising sites at which to search for missing proteins, and ejaculated spermatozoa are a potential source of proteins whose expression is restricted to the germ cell lineage. A trans-chromosome-based data analysis was performed to catalog missing proteins in total protein extracts from isolated human spermatozoa. We have identified and manually validated peptide matches to 89 missing proteins in human spermatozoa. In addition, we carefully validated three proteins that were scored as uncertain in the latest neXtProt release (09.19.2014). A focus was then given to the 12 missing proteins encoded on chromosomes 2 and 14, some of which may putatively play roles in ciliation and flagellum mechanistics. The expression pattern of C2orf57 and TEX37 was confirmed in the adult testis by immunohistochemistry. On the basis of transcript expression during human spermatogenesis, we further consider the potential for discovering additional missing proteins in the testicular postmeiotic germ cell lineage and in ejaculated spermatozoa. This project was conducted as part of the C-HPP initiatives on chromosomes 14 (France) and 2 (Switzerland). The mass spectrometry proteomics data have been deposited with the ProteomeXchange Consortium under the data set identifier PXD002367.
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Affiliation(s)
- Fanny Jumeau
- EA 4308-Department of Reproductive Biology-Spermiology-CECOS, CHRU-Lille , 59037, Lille cedex, France.,Inserm UMRS 1172, Centre Jean Pierre Aubert, IMPRT, University Lille Nord de France , 59045 Lille Cedex, France
| | - Emmanuelle Com
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Lydie Lane
- Department of Human Protein Sciences, Faculty of Medicine, University of Geneva , 1, rue Michel-Servet, 1211 Geneva 4, Switzerland.,SIB Swiss Institute of Bioinformatics, 1, rue Michel-Servet, 1211 Geneva 4, Switzerland
| | - Paula Duek
- SIB Swiss Institute of Bioinformatics, 1, rue Michel-Servet, 1211 Geneva 4, Switzerland
| | - Mélanie Lagarrigue
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Régis Lavigne
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Laëtitia Guillot
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Karine Rondel
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Alain Gateau
- SIB Swiss Institute of Bioinformatics, 1, rue Michel-Servet, 1211 Geneva 4, Switzerland
| | - Nathalie Melaine
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Blandine Guével
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
| | - Nicolas Sergeant
- Inserm UMRS 1172, Centre Jean Pierre Aubert, IMPRT, University Lille Nord de France , 59045 Lille Cedex, France
| | - Valérie Mitchell
- EA 4308-Department of Reproductive Biology-Spermiology-CECOS, CHRU-Lille , 59037, Lille cedex, France
| | - Charles Pineau
- Inserm U1085, Irset , Campus de Beaulieu, Rennes, 35042, France.,Protim, Campus de Beaulieu, Rennes, 35042, France
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