1
|
Aggarwal S, Rosenblum C, Gould M, Ziman S, Barshir R, Zelig O, Guan-Golan Y, Iny-Stein T, Safran M, Pietrokovski S, Lancet D. Expanding and Enriching the LncRNA Gene-Disease Landscape Using the GeneCaRNA Database. Biomedicines 2024; 12:1305. [PMID: 38927512 PMCID: PMC11202217 DOI: 10.3390/biomedicines12061305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
The GeneCaRNA human gene database is a member of the GeneCards Suite. It presents ~280,000 human non-coding RNA genes, identified algorithmically from ~690,000 RNAcentral transcripts. This expands by ~tenfold the ncRNA gene count relative to other sources. GeneCaRNA thus contains ~120,000 long non-coding RNAs (LncRNAs, >200 bases long), including ~100,000 novel genes. The latter have sparse functional information, a vast terra incognita for future research. LncRNA genes are uniformly represented on all nuclear chromosomes, with 10 genes on mitochondrial DNA. Data obtained from MalaCards, another GeneCards Suite member, finds 1547 genes associated with 1 to 50 diseases. About 15% of the associations portray experimental evidence, with cancers tending to be multigenic. Preliminary text mining within GeneCaRNA discovers interactions of lncRNA transcripts with target gene products, with 25% being ncRNAs and 75% proteins. GeneCaRNA has a biological pathways section, which at present shows 131 pathways for 38 lncRNA genes, a basis for future expansion. Finally, our GeneHancer database provides regulatory elements for ~110,000 lncRNA genes, offering pointers for co-regulated genes and genetic linkages from enhancers to diseases. We anticipate that the broad vista provided by GeneCaRNA will serve as an essential guide for further lncRNA research in disease decipherment.
Collapse
Affiliation(s)
- Shalini Aggarwal
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Chana Rosenblum
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Marshall Gould
- Department of Biological Sciences, University College London, Gower Street, London WC1E 6BT, UK
| | - Shahar Ziman
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Ruth Barshir
- TAD Center for AI and Data Science, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Ofer Zelig
- LifeMap Sciences Inc., Alameda, CA 94501, USA
| | | | - Tsippi Iny-Stein
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Marilyn Safran
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Shmuel Pietrokovski
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| | - Doron Lancet
- Department of Molecular Genetics, Weizmann Institute of Science, Herzl 234, Rehovot 7610010, Israel (S.Z.)
| |
Collapse
|
2
|
Bookey N, Drago P, Leung KY, Hughes L, MacCooey A, Ozaki M, Henry M, De Castro SCP, Doykov I, Heywood WE, Mills K, Murphy MM, Cavallé-Busquets P, Campbell S, Burtenshaw D, Meleady P, Cahill PA, Greene NDE, Parle-McDermott A. The Differential Translation Capabilities of the Human DHFR2 Gene Indicates a Developmental and Tissue-Specific Endogenous Protein of Low Abundance. Mol Cell Proteomics 2024; 23:100718. [PMID: 38224738 PMCID: PMC10884974 DOI: 10.1016/j.mcpro.2024.100718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/05/2024] [Accepted: 01/12/2024] [Indexed: 01/17/2024] Open
Abstract
A functional role has been ascribed to the human dihydrofolate reductase 2 (DHFR2) gene based on the enzymatic activity of recombinant versions of the predicted translated protein. However, the in vivo function is still unclear. The high amino acid sequence identity (92%) between DHFR2 and its parental homolog, DHFR, makes analysis of the endogenous protein challenging. This paper describes a targeted mass spectrometry proteomics approach in several human cell lines and tissue types to identify DHFR2-specific peptides as evidence of its translation. We show definitive evidence that the DHFR2 activity in the mitochondria is in fact mediated by DHFR, and not DHFR2. Analysis of Ribo-seq data and an experimental assessment of ribosome association using a sucrose cushion showed that the two main Ensembl annotated mRNA isoforms of DHFR2, 201 and 202, are differentially associated with the ribosome. This indicates a functional role at both the RNA and protein level. However, we were unable to detect DHFR2 protein at a detectable level in most cell types examined despite various RNA isoforms of DHFR2 being relatively abundant. We did detect a DHFR2-specific peptide in embryonic heart, indicating that the protein may have a specific role during embryogenesis. We propose that the main functionality of the DHFR2 gene in adult cells is likely to arise at the RNA level.
Collapse
Affiliation(s)
- Niamh Bookey
- School of Biotechnology, Dublin City University, Dublin, Ireland; DCU Life Sciences Institute, Dublin City University, Dublin, Ireland.
| | - Paola Drago
- School of Biotechnology, Dublin City University, Dublin, Ireland; DCU Life Sciences Institute, Dublin City University, Dublin, Ireland
| | - Kit-Yi Leung
- Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Linda Hughes
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Aoife MacCooey
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Mari Ozaki
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Michael Henry
- DCU Life Sciences Institute, Dublin City University, Dublin, Ireland
| | - Sandra C P De Castro
- Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Ivan Doykov
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Wendy E Heywood
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Kevin Mills
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Michelle M Murphy
- Area of Preventive Medicine and Public Health, Department of Basic Medical Sciences, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, IISPV and CIBERobn (Instituto de Salud Carlos III), Reus, Spain
| | - Pere Cavallé-Busquets
- Area of Obstetrics, Hospital Universitari Sant Joan de Reus, IISPV and CIBERobn (Instituto de Salud Carlos III), Reus, Spain
| | - Susan Campbell
- Sheffield Hallam University, Department of Biosciences and Chemistry, Sheffield, UK
| | | | - Paula Meleady
- School of Biotechnology, Dublin City University, Dublin, Ireland; DCU Life Sciences Institute, Dublin City University, Dublin, Ireland
| | - Paul A Cahill
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Nicholas D E Greene
- Developmental Biology and Cancer Department, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Anne Parle-McDermott
- School of Biotechnology, Dublin City University, Dublin, Ireland; DCU Life Sciences Institute, Dublin City University, Dublin, Ireland.
| |
Collapse
|
3
|
Girard O, Lavigne R, Chevolleau S, Onfray C, Com E, Schmit PO, Chapelle M, Fréour T, Lane L, David L, Pineau C. Naive Pluripotent and Trophoblastic Stem Cell Lines as a Model for Detecting Missing Proteins in the Context of the Chromosome-Centric Human Proteome Project. J Proteome Res 2022; 22:1148-1158. [PMID: 36445260 DOI: 10.1021/acs.jproteome.2c00496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
The Chromosome-centric Human Proteome Project (C-HPP) aims at identifying the proteins as gene products encoded by the human genome, characterizing their isoforms and functions. The existence of products has now been confirmed for 93.2% of the genes at the protein level. The remaining mostly correspond to proteins of low abundance or difficult to access. Over the past years, we have significantly contributed to the identification of missing proteins in the human spermatozoa. We pursue our search in the reproductive sphere with a focus on early human embryonic development. Pluripotent cells, developing into the fetus, and trophoblast cells, giving rise to the placenta, emerge during the first weeks. This emergence is a focus of scientists working in the field of reproduction, placentation and regenerative medicine. Most knowledge has been harnessed by transcriptomic analysis. Interestingly, some genes are uniquely expressed in those cells, giving the opportunity to uncover new proteins that might play a crucial role in setting up the molecular events underlying early embryonic development. Here, we analyzed naive pluripotent and trophoblastic stem cells and discovered 4 new missing proteins, thus contributing to the C-HPP. The mass spectrometry proteomics data was deposited on ProteomeXchange under the data set identifier PXD035768.
Collapse
Affiliation(s)
- Océane Girard
- Nantes Université, CHU Nantes, Inserm, CR2TI, UMR 1064, F-44000Nantes, France
| | - Régis Lavigne
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000Rennes, France.,Univ Rennes, CNRS, Inserm, Biosit UAR 3480 US_S 018, Protim Core Facility, F-35000Rennes, France
| | - Simon Chevolleau
- Nantes Université, CHU Nantes, Inserm, CR2TI, UMR 1064, F-44000Nantes, France
| | - Constance Onfray
- Nantes Université, CHU Nantes, Inserm, CR2TI, UMR 1064, F-44000Nantes, France
| | - Emmanuelle Com
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000Rennes, France.,Univ Rennes, CNRS, Inserm, Biosit UAR 3480 US_S 018, Protim Core Facility, F-35000Rennes, France
| | | | - Manuel Chapelle
- Bruker Daltonique SA, 34 rue de l'Industrie, F-67166Wissembourg cedex, France
| | - Thomas Fréour
- Nantes Université, CHU Nantes, Inserm, CR2TI, UMR 1064, F-44000Nantes, France.,CHU Nantes, Service de Biologie de la Reproduction, F-44000Nantes, France.,Department of Obstetrics, Gynecology and Reproductive Medicine, Dexeus University Hospital, 08028Barcelona, Spain
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and University of Geneva, CH-1211Geneva, Switzerland
| | - Laurent David
- Nantes Université, CHU Nantes, Inserm, CR2TI, UMR 1064, F-44000Nantes, France.,Nantes Université, CHU Nantes, Inserm, CNRS, BioCore, F-44000Nantes, France
| | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, F-35000Rennes, France.,Univ Rennes, CNRS, Inserm, Biosit UAR 3480 US_S 018, Protim Core Facility, F-35000Rennes, France
| |
Collapse
|
4
|
Protocol for Increasing the Sensitivity of MS-Based Protein Detection in Human Chorionic Villi. Curr Issues Mol Biol 2022; 44:2069-2088. [PMID: 35678669 PMCID: PMC9164042 DOI: 10.3390/cimb44050140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 11/17/2022] Open
Abstract
An important step in the proteomic analysis of missing proteins is the use of a wide range of tissues, optimal extraction, and the processing of protein material in order to ensure the highest sensitivity in downstream protein detection. This work describes a purification protocol for identifying low-abundance proteins in human chorionic villi using the proposed “1DE-gel concentration” method. This involves the removal of SDS in a short electrophoresis run in a stacking gel without protein separation. Following the in-gel digestion of the obtained holistic single protein band, we used the peptide mixture for further LC–MS/MS analysis. Statistically significant results were derived from six datasets, containing three treatments, each from two tissue sources (elective or missed abortions). The 1DE-gel concentration increased the coverage of the chorionic villus proteome. Our approach allowed the identification of 15 low-abundance proteins, of which some had not been previously detected via the mass spectrometry of trophoblasts. In the post hoc data analysis, we found a dubious or uncertain protein (PSG7) encoded on human chromosome 19 according to neXtProt. A proteomic sample preparation workflow with the 1DE-gel concentration can be used as a prospective tool for uncovering the low-abundance part of the human proteome.
Collapse
|
5
|
Sivertsson Å, Lindström E, Oksvold P, Katona B, Hikmet F, Vuu J, Gustavsson J, Sjöstedt E, von Feilitzen K, Kampf C, Schwenk JM, Uhlén M, Lindskog C. Enhanced Validation of Antibodies Enables the Discovery of Missing Proteins. J Proteome Res 2020; 19:4766-4781. [PMID: 33170010 PMCID: PMC7723238 DOI: 10.1021/acs.jproteome.0c00486] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
![]()
The localization of proteins at a
tissue- or cell-type-specific
level is tightly linked to the protein function. To better understand
each
protein’s role in cellular systems, spatial information constitutes
an important complement to quantitative data. The standard methods
for determining the spatial distribution of proteins in single cells
of complex tissue samples make use of antibodies. For a stringent
analysis of the human proteome, we used orthogonal methods and independent
antibodies to validate 5981 antibodies that show the expression of
3775 human proteins across all major human tissues. This enhanced
validation uncovered 56 proteins corresponding to the group of “missing
proteins” and 171 proteins of unknown function. The presented
strategy will facilitate further discussions around criteria for evidence
of protein existence based on immunohistochemistry and serves as a
useful guide to identify candidate proteins for integrative studies
with quantitative proteomics methods.
Collapse
Affiliation(s)
- Åsa Sivertsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden
| | - Emil Lindström
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Per Oksvold
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden
| | - Borbala Katona
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Feria Hikmet
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Jimmy Vuu
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Jonas Gustavsson
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Kalle von Feilitzen
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden
| | - Caroline Kampf
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden.,Atlas Antibodies AB, 16869 Bromma, Sweden
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, 17121 Stockholm, Sweden.,Department of Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Rudbeck Laboratory, Uppsala University, 75185 Uppsala, Sweden
| |
Collapse
|
6
|
Omenn GS, Lane L, Overall CM, Cristea IM, Corrales FJ, Lindskog C, Paik YK, Van Eyk JE, Liu S, Pennington SR, Snyder MP, Baker MS, Bandeira N, Aebersold R, Moritz RL, Deutsch EW. Research on the Human Proteome Reaches a Major Milestone: >90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project. J Proteome Res 2020; 19:4735-4746. [PMID: 32931287 DOI: 10.1021/acs.jproteome.0c00485] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
According to the 2020 Metrics of the HUPO Human Proteome Project (HPP), expression has now been detected at the protein level for >90% of the 19 773 predicted proteins coded in the human genome. The HPP annually reports on progress made throughout the world toward credibly identifying and characterizing the complete human protein parts list and promoting proteomics as an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2020-01 classified 17 874 proteins as PE1, having strong protein-level evidence, up 180 from 17 694 one year earlier. These represent 90.4% of the 19 773 predicted coding genes (all PE1,2,3,4 proteins in neXtProt). Conversely, the number of neXtProt PE2,3,4 proteins, termed the "missing proteins" (MPs), was reduced by 230 from 2129 to 1899 since the neXtProt 2019-01 release. PeptideAtlas is the primary source of uniform reanalysis of raw mass spectrometry data for neXtProt, supplemented this year with extensive data from MassIVE. PeptideAtlas 2020-01 added 362 canonical proteins between 2019 and 2020 and MassIVE contributed 84 more, many of which converted PE1 entries based on non-MS evidence to the MS-based subgroup. The 19 Biology and Disease-driven B/D-HPP teams continue to pursue the identification of driver proteins that underlie disease states, the characterization of regulatory mechanisms controlling the functions of these proteins, their proteoforms, and their interactions, and the progression of transitions from correlation to coexpression to causal networks after system perturbations. And the Human Protein Atlas published Blood, Brain, and Metabolic Atlases.
Collapse
Affiliation(s)
- Gilbert S Omenn
- University of Michigan, Ann Arbor, Michigan 48109, United States.,Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | | | - Ileana M Cristea
- Princeton University, Princeton, New Jersey 08544, United States
| | | | | | | | | | - Siqi Liu
- BGI Group, Shenzhen 518083, China
| | | | | | - Mark S Baker
- Macquarie University, Macquarie Park, NSW 2109, Australia
| | - Nuno Bandeira
- University of California, San Diego, La Jolla, California 92093, United States
| | - Ruedi Aebersold
- ETH-Zurich and University of Zurich, 8092 Zurich, Switzerland
| | - Robert L Moritz
- Institute for Systems Biology, Seattle, Washington 98109, United States
| | - Eric W Deutsch
- Institute for Systems Biology, Seattle, Washington 98109, United States
| |
Collapse
|
7
|
Adhikari S, Nice EC, Deutsch EW, Lane L, Omenn GS, Pennington SR, Paik YK, Overall CM, Corrales FJ, Cristea IM, Van Eyk JE, Uhlén M, Lindskog C, Chan DW, Bairoch A, Waddington JC, Justice JL, LaBaer J, Rodriguez H, He F, Kostrzewa M, Ping P, Gundry RL, Stewart P, Srivastava S, Srivastava S, Nogueira FCS, Domont GB, Vandenbrouck Y, Lam MPY, Wennersten S, Vizcaino JA, Wilkins M, Schwenk JM, Lundberg E, Bandeira N, Marko-Varga G, Weintraub ST, Pineau C, Kusebauch U, Moritz RL, Ahn SB, Palmblad M, Snyder MP, Aebersold R, Baker MS. A high-stringency blueprint of the human proteome. Nat Commun 2020; 11:5301. [PMID: 33067450 PMCID: PMC7568584 DOI: 10.1038/s41467-020-19045-9] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 09/25/2020] [Indexed: 02/07/2023] Open
Abstract
The Human Proteome Organization (HUPO) launched the Human Proteome Project (HPP) in 2010, creating an international framework for global collaboration, data sharing, quality assurance and enhancing accurate annotation of the genome-encoded proteome. During the subsequent decade, the HPP established collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposited community data, continuously increasing the coverage of the human proteome. On the occasion of the HPP's tenth anniversary, we here report a 90.4% complete high-stringency human proteome blueprint. This knowledge is essential for discerning molecular processes in health and disease, as we demonstrate by highlighting potential roles the human proteome plays in our understanding, diagnosis and treatment of cancers, cardiovascular and infectious diseases.
Collapse
Affiliation(s)
- Subash Adhikari
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Edouard C Nice
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
- Faculty of Medicine, Nursing and Health Sciences, Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, 3800, Australia
| | - Eric W Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Lydie Lane
- Faculty of Medicine, SIB-Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, University of Geneva, CMU, Michel-Servet 1, 1211, Geneva, Switzerland
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48109-2218, USA
| | - Stephen R Pennington
- UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland
| | - Young-Ki Paik
- Yonsei Proteome Research Center, 50 Yonsei-ro, Sudaemoon-ku, Seoul, 120-749, South Korea
| | | | - Fernando J Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología-CSIC, Proteored-ISCIII, 28049, Madrid, Spain
| | - Ileana M Cristea
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Jennifer E Van Eyk
- Cedars Sinai Medical Center, Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Los Angeles, CA, 90048, USA
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Cecilia Lindskog
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, 75185, Uppsala, Sweden
| | - Daniel W Chan
- Department of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA
| | - Amos Bairoch
- Faculty of Medicine, SIB-Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, University of Geneva, CMU, Michel-Servet 1, 1211, Geneva, Switzerland
| | - James C Waddington
- UCD Conway Institute of Biomolecular and Biomedical Research, School of Medicine, University College Dublin, Dublin, Ireland
| | - Joshua L Justice
- Department of Molecular Biology, Princeton University, Princeton, NJ, 08544, USA
| | - Joshua LaBaer
- Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, NIH, Bethesda, MD, 20892, USA
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Markus Kostrzewa
- Bruker Daltonik GmbH, Microbiology and Diagnostics, Fahrenheitstrasse, 428359, Bremen, Germany
| | - Peipei Ping
- Cardiac Proteomics and Signaling Laboratory, Department of Physiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Rebekah L Gundry
- CardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, NE, 68198, USA
| | - Peter Stewart
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | | | - Sudhir Srivastava
- Cancer Biomarkers Research Branch, National Cancer Institute, National Institutes of Health, 9609 Medical Center Drive, Suite 5E136, Rockville, MD, 20852, USA
| | - Fabio C S Nogueira
- Proteomics Unit and Laboratory of Proteomics, Institute of Chemistry, Federal University of Rio de Janeiro, Av Athos da Silveria Ramos, 149, 21941-909, Rio de Janeiro, RJ, Brazil
| | - Gilberto B Domont
- Proteomics Unit and Laboratory of Proteomics, Institute of Chemistry, Federal University of Rio de Janeiro, Av Athos da Silveria Ramos, 149, 21941-909, Rio de Janeiro, RJ, Brazil
| | - Yves Vandenbrouck
- University of Grenoble Alpes, Inserm, CEA, IRIG-BGE, U1038, 38000, Grenoble, France
| | - Maggie P Y Lam
- Departments of Medicine-Cardiology and Biochemistry and Molecular Genetics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
- Consortium for Fibrosis Research and Translation, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Sara Wennersten
- Division of Cardiology, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Juan Antonio Vizcaino
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Marc Wilkins
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Jochen M Schwenk
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Emma Lundberg
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, 17121, Solna, Sweden
| | - Nuno Bandeira
- Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, Mail Code 0404, La Jolla, CA, 92093-0404, USA
| | | | - Susan T Weintraub
- Department of Biochemistry and Structural Biology, University of Texas Health Science Center San Antonio, UT Health, 7703 Floyd Curl Drive, San Antonio, TX, 78229-3900, USA
| | - Charles Pineau
- University of Rennes, Inserm, EHESP, IREST, UMR_S 1085, F-35042, Rennes, France
| | - Ulrike Kusebauch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Robert L Moritz
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
| | - Seong Beom Ahn
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia
| | - Magnus Palmblad
- Leiden University Medical Center, Leiden, 2333, The Netherlands
| | - Michael P Snyder
- Department of Genetics, Stanford School of Medicine, Stanford, CA, 94305, USA
| | - Ruedi Aebersold
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109, USA
- Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Mark S Baker
- Faculty of Medicine, Health and Human Sciences, Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
- Department of Genetics, Stanford School of Medicine, Stanford, CA, 94305, USA.
| |
Collapse
|
8
|
Affiliation(s)
- Monique Zahn-Zabal
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and University of Geneva, Geneva, Switzerland
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and University of Geneva, Geneva, Switzerland
| |
Collapse
|
9
|
Lu S, Zhang J, Lian X, Sun L, Meng K, Chen Y, Sun Z, Yin X, Li Y, Zhao J, Wang T, Zhang G, He QY. A hidden human proteome encoded by 'non-coding' genes. Nucleic Acids Res 2019; 47:8111-8125. [PMID: 31340039 PMCID: PMC6735797 DOI: 10.1093/nar/gkz646] [Citation(s) in RCA: 108] [Impact Index Per Article: 21.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Revised: 07/07/2019] [Accepted: 07/15/2019] [Indexed: 01/27/2023] Open
Abstract
It has been a long debate whether the 98% ‘non-coding’ fraction of human genome can encode functional proteins besides short peptides. With full-length translating mRNA sequencing and ribosome profiling, we found that up to 3330 long non-coding RNAs (lncRNAs) were bound to ribosomes with active translation elongation. With shotgun proteomics, 308 lncRNA-encoded new proteins were detected. A total of 207 unique peptides of these new proteins were verified by multiple reaction monitoring (MRM) and/or parallel reaction monitoring (PRM); and 10 new proteins were verified by immunoblotting. We found that these new proteins deviated from the canonical proteins with various physical and chemical properties, and emerged mostly in primates during evolution. We further deduced the protein functions by the assays of translation efficiency, RNA folding and intracellular localizations. As the new protein UBAP1-AST6 is localized in the nucleoli and is preferentially expressed by lung cancer cell lines, we biologically verified that it has a function associated with cell proliferation. In sum, we experimentally evidenced a hidden human functional proteome encoded by purported lncRNAs, suggesting a resource for annotating new human proteins.
Collapse
Affiliation(s)
- Shaohua Lu
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Jing Zhang
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Xinlei Lian
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.,Laboratory of Veterinary Pharmacology, College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
| | - Li Sun
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Kun Meng
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Yang Chen
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Zhenghua Sun
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Xingfeng Yin
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Yaxing Li
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Jing Zhao
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Tong Wang
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Gong Zhang
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Qing-Yu He
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| |
Collapse
|
10
|
Omenn GS, Lane L, Overall CM, Corrales FJ, Schwenk JM, Paik YK, Van Eyk JE, Liu S, Pennington S, Snyder MP, Baker MS, Deutsch EW. Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project. J Proteome Res 2019; 18:4098-4107. [PMID: 31430157 PMCID: PMC6898754 DOI: 10.1021/acs.jproteome.9b00434] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
The Human Proteome Project (HPP) annually reports on progress made throughout the field in credibly identifying and characterizing the complete human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2019-01-11 contains 17 694 proteins with strong protein-level evidence (PE1), compliant with HPP Guidelines for Interpretation of MS Data v2.1; these represent 89% of all 19 823 neXtProt predicted coding genes (all PE1,2,3,4 proteins), up from 17 470 one year earlier. Conversely, the number of neXtProt PE2,3,4 proteins, termed the "missing proteins" (MPs), has been reduced from 2949 to 2129 since 2016 through efforts throughout the community, including the chromosome-centric HPP. PeptideAtlas is the source of uniformly reanalyzed raw mass spectrometry data for neXtProt; PeptideAtlas added 495 canonical proteins between 2018 and 2019, especially from studies designed to detect hard-to-identify proteins. Meanwhile, the Human Protein Atlas has released version 18.1 with immunohistochemical evidence of expression of 17 000 proteins and survival plots as part of the Pathology Atlas. Many investigators apply multiplexed SRM-targeted proteomics for quantitation of organ-specific popular proteins in studies of various human diseases. The 19 teams of the Biology and Disease-driven B/D-HPP published a total of 160 publications in 2018, bringing proteomics to a broad array of biomedical research.
Collapse
Affiliation(s)
- Gilbert S. Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CMU, Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Christopher M. Overall
- Life Sciences Institute, Faculty of Dentistry, University of British Columbia, 2350 Health Sciences Mall, Room 4.401, Vancouver, British Columbia V6T 1Z3, Canada
| | | | - Jochen M. Schwenk
- Science for Life Laboratory, KTH Royal Institute of Technology, Tomtebodavägen 23A, 17165 Solna, Sweden
| | - Young-Ki Paik
- Yonsei Proteome Research Center, Yonsei University, Room 425, Building #114, 50 Yonsei-ro, Seodaemoon-ku, Seoul 120-749, South Korea
| | - Jennifer E. Van Eyk
- Advanced Clinical BioSystems Research Institute, Cedars Sinai Precision Biomarker Laboratories, Barbra Streisand Women’s Heart Center, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States
| | - Siqi Liu
- BGI Group-Shenzhen, Yantian District, Shenzhen 518083, China
| | - Stephen Pennington
- School of Medicine, University College Dublin, Conway Institute Belfield, Dublin 4, Ireland
| | - Michael P. Snyder
- Department of Genetics, Stanford University, Alway Building, 300 Pasteur Drive and 3165 Porter Drive, Palo Alto, California 94304, United States
| | - Mark S. Baker
- Department of Biomedical Sciences, Faculty of Medicine & Health Sciences, Macquarie University, 75 Talavera Road, North Ryde, NSW 2109, Australia
| | - Eric W. Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| |
Collapse
|
11
|
Elguoshy A, Hirao Y, Yamamoto K, Xu B, Kinoshita N, Mitsui T, Yamamoto T. Utilization of the Proteome Data Deposited in SRMAtlas for Validating the Existence of the Human Missing Proteins in GPM. J Proteome Res 2019; 18:4197-4205. [PMID: 31646870 DOI: 10.1021/acs.jproteome.9b00355] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The Human Proteome Project (HPP) has made great efforts to clarify the existing evidence of human proteins since 2012. However, according to the recent release of neXtProt (2019-1), approximately 10% of all human genes still have inadequate or no experimental evidence of their translation at the protein level. They were categorized as missing proteins (PE2-PE4). To further the goal of HPP, we developed a two-step bioinformatic strategy addressing the utilization of the SRMAtlas synthetic peptides corresponding to the missing proteins as an exclusive reference in order to explore their natural counterparts within GPM. In the first step, we searched the GPM for the non-nested SRMAtlas peptides corresponding to the missing proteins, taking under consideration only those detected via ≥2 non-nested unitypic/proteotypic peptides "Stranded peptides" with length ≥9 amino acids in the same proteomic study. As a result, 51 missing proteins were newly detected in 35 different proteomic studies. In the second step, we validated these newly detected missing proteins based on matching the spectra of their synthetic and natural peptides in SRMAtlas and GPM, respectively. The results showed that 23 of the missing proteins with ≥2 non-nested peptides were validated by careful spectral matching.
Collapse
Affiliation(s)
- Amr Elguoshy
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan.,Graduate School of Science and Technology , Niigata University , Niigata 950-2181 , Japan.,Biotechnology Department, Faculty of Agriculture , Al-Azhar University , Cairo 11651 , Egypt
| | - Yoshitoshi Hirao
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan
| | - Keiko Yamamoto
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan
| | - Bo Xu
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan
| | - Naohiko Kinoshita
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan.,Department of Health Informatics , Niigata University of Health and Welfare , Niigata 950-3102 , Japan
| | - Toshiaki Mitsui
- Graduate School of Science and Technology , Niigata University , Niigata 950-2181 , Japan
| | - Tadashi Yamamoto
- Biofluid and Biomarker Center, Graduate School of Medical and Dental Sciences , Niigata University , Niigata 950-2181 , Japan.,Department of Clinical Laboratory , Shinrakuen Hospital , Niigata 950-2087 , Japan
| |
Collapse
|
12
|
Deutsch EW, Lane L, Overall CM, Bandeira N, Baker MS, Pineau C, Moritz RL, Corrales F, Orchard S, Van Eyk JE, Paik YK, Weintraub ST, Vandenbrouck Y, Omenn GS. Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0. J Proteome Res 2019; 18:4108-4116. [PMID: 31599596 DOI: 10.1021/acs.jproteome.9b00542] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.
Collapse
Affiliation(s)
- Eric W Deutsch
- Institute for Systems Biology , Seattle , Washington 98109 , United States
| | - Lydie Lane
- SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva , CMU, Michel Servet 1 , 1211 Geneva 4 , Switzerland
| | - Christopher M Overall
- Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry , The University of British Columbia , Vancouver , BC V6T 1Z4 , Canada
| | - Nuno Bandeira
- Center for Computational Mass Spectrometry and Department of Computer Science and Engineering, Skaggs School of Pharmacy and Pharmaceutical Sciences , University of California San Diego , La Jolla , California 92093 , United States
| | - Mark S Baker
- Department of Biomedical Sciences, Faculty of Medicine and Health Science , Macquarie University , Macquarie Park , NSW 2109 , Australia
| | - Charles Pineau
- Univ. Rennes , Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085 , F-35042 Rennes cedex , France
| | - Robert L Moritz
- Institute for Systems Biology , Seattle , Washington 98109 , United States
| | - Fernando Corrales
- Functional Proteomics Laboratory, Centro Nacional de Biotecnología , Spanish Research Council , ProteoRed-.ISCIII , Madrid 117 , Spain
| | - Sandra Orchard
- European Molecular Biology Laboratory , European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , U.K
| | - Jennifer E Van Eyk
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Department of Medicine , Cedars Sinai Medical Center , Los Angeles , California 90048 , United States
| | - Young-Ki Paik
- Yonsei Proteome Research Center , Yonsei University , 50 Yonsei-ro , Sudaemoon-ku , Seoul 03720 , Korea
| | - Susan T Weintraub
- The University of Texas Health Science Center at San Antonio , San Antonio , Texas 78229 , United States
| | - Yves Vandenbrouck
- Univ. Grenoble Alpes , CEA, INSERM, IRIG-BGE, U1038 , F-38000 Grenoble , France
| | - Gilbert S Omenn
- Institute for Systems Biology , Seattle , Washington 98109 , United States.,Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics and School of Public Health , University of Michigan , Ann Arbor , Michigan 48109-2218 , United States
| |
Collapse
|
13
|
Bell PA, Solis N, Kizhakkedathu JN, Matthew I, Overall CM. Proteomic and N-Terminomic TAILS Analyses of Human Alveolar Bone Proteins: Improved Protein Extraction Methodology and LysargiNase Digestion Strategies Increase Proteome Coverage and Missing Protein Identification. J Proteome Res 2019; 18:4167-4179. [DOI: 10.1021/acs.jproteome.9b00445] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
|
14
|
Liu W, Xiang L, Zheng T, Jin J, Zhang G. TranslatomeDB: a comprehensive database and cloud-based analysis platform for translatome sequencing data. Nucleic Acids Res 2019; 46:D206-D212. [PMID: 29106630 PMCID: PMC5753366 DOI: 10.1093/nar/gkx1034] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 10/17/2017] [Indexed: 01/08/2023] Open
Abstract
Translation is a key regulatory step, linking transcriptome and proteome. Two major methods of translatome investigations are RNC-seq (sequencing of translating mRNA) and Ribo-seq (ribosome profiling). To facilitate the investigation of translation, we built a comprehensive database TranslatomeDB (http://www.translatomedb.net/) which provides collection and integrated analysis of published and user-generated translatome sequencing data. The current version includes 2453 Ribo-seq, 10 RNC-seq and their 1394 corresponding mRNA-seq datasets in 13 species. The database emphasizes the analysis functions in addition to the dataset collections. Differential gene expression (DGE) analysis can be performed between any two datasets of same species and type, both on transcriptome and translatome levels. The translation indices translation ratios, elongation velocity index and translational efficiency can be calculated to quantitatively evaluate translational initiation efficiency and elongation velocity, respectively. All datasets were analyzed using a unified, robust, accurate and experimentally-verifiable pipeline based on the FANSe3 mapping algorithm and edgeR for DGE analyzes. TranslatomeDB also allows users to upload their own datasets and utilize the identical unified pipeline to analyze their data. We believe that our TranslatomeDB is a comprehensive platform and knowledgebase on translatome and proteome research, releasing the biologists from complex searching, analyzing and comparing huge sequencing data without needing local computational power.
Collapse
Affiliation(s)
- Wanting Liu
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou 510632, China
| | | | - Tingkai Zheng
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou 510632, China
| | - Jingjie Jin
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou 510632, China
| | - Gong Zhang
- Key Laboratory of Functional Protein Research of Guangdong Higher Education Institutes, Institute of Life and Health Engineering, Jinan University, Guangzhou 510632, China.,Chi-Biotech Co. Ltd., Shenzhen 518000, China
| |
Collapse
|
15
|
Lisitsa AV, Petushkova NA, Levitsky LI, Zgoda VG, Larina OV, Kisrieva YS, Frankevich VE, Gamidov SI. Comparative Analysis of the Performаnce of Mascot and IdentiPy Algorithms on a Benchmark Dataset Obtained by Tandem Mass Spectrometry Analysis of Testicular Biopsies. Mol Biol 2019. [DOI: 10.1134/s0026893319010096] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|
16
|
Ahmad MT, Zhang P, Dufresne C, Ferrucci L, Semba RD. The Human Eye Proteome Project: Updates on an Emerging Proteome. Proteomics 2019; 18:e1700394. [PMID: 29356342 DOI: 10.1002/pmic.201700394] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/08/2018] [Indexed: 01/05/2023]
Abstract
The human eye is a complex organ consisting of multiple compartments with unique and specialized properties that reflect their varied functions. Although there have been advancements in ocular imaging and therapeutics over the past decade, the pathogenesis of many common eye diseases remains poorly understood. Proteomics is an invaluable tool to gain insight into pathogenesis, diagnosis, and treatment of eye diseases. By 2013, when the Human Eye Proteome Project (also known as the EyeOme) was founded, there were 4842 nonredundant proteins identified in the human eye. Twenty-three recent papers on the human eye proteome were identified in PubMed searches. These papers were used to compile an updated resource of 9782 nonredundant proteins in the human eye. This updated catalogue sheds light on the molecular makeup of previously undescribed proteomes within the human eye, including optic nerve, sclera, iris, and ciliary body, while adding additional proteins to previously characterized proteomes such as aqueous humor, lens, vitreous, retina, and retinal pigment epithelium/choroid. Although considerable advances have been made to characterize the complete proteome of the human eye, additional high-quality data are needed to confirm and quantify previously discovered eye proteins in both health and disease.
Collapse
Affiliation(s)
- Meleha T Ahmad
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pingbo Zhang
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Richard D Semba
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| |
Collapse
|
17
|
Jones MK, Lu B, Chen DZ, Spivia WR, Mercado AT, Ljubimov AV, Svendsen CN, Van Eyk JE, Wang S. In Vitro and In Vivo Proteomic Comparison of Human Neural Progenitor Cell-Induced Photoreceptor Survival. Proteomics 2019; 19:e1800213. [PMID: 30515959 PMCID: PMC6422354 DOI: 10.1002/pmic.201800213] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 11/01/2018] [Indexed: 12/31/2022]
Abstract
Retinal degenerative diseases lead to blindness with few treatments. Various cell-based therapies are aimed to slow the progression of vision loss by preserving light-sensing photoreceptor cells. A subretinal injection of human neural progenitor cells (hNPCs) into the Royal College of Surgeons (RCS) rat model of retinal degeneration has aided in photoreceptor survival, though the mechanisms are mainly unknown. Identifying the retinal proteomic changes that occur following hNPC treatment leads to better understanding of neuroprotection. To mimic the retinal environment following hNPC injection, a co-culture system of retinas and hNPCs is developed. Less cell death occurs in RCS retinal tissue co-cultured with hNPCs than in retinas cultured alone, suggesting that hNPCs provide retinal protection in vitro. Comparison of ex vivo and in vivo retinas identifies nuclear factor (erythroid-derived 2)-like 2 (NRF2) mediated oxidative response signaling as an hNPC-induced pathway. This is the first study to compare proteomic changes following treatment with hNPCs in both an ex vivo and in vivo environment, further allowing the use of ex vivo modeling for mechanisms of retinal preservation. Elucidation of the protein changes in the retina following hNPC treatment may lead to the discovery of mechanisms of photoreceptor survival and its therapeutic for clinical applications.
Collapse
Affiliation(s)
- Melissa K. Jones
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
| | - Bin Lu
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
| | - Dawn Z. Chen
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles
| | - Weston R. Spivia
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center
| | - Augustus T. Mercado
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
| | - Alexander V. Ljubimov
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles
| | - Clive N. Svendsen
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
| | - Jennifer E. Van Eyk
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles
| | - Shaomei Wang
- Department of Biomedical Sciences, Cedars-Sinai Medical Center
- Board of Governors Regenerative Medicine Institute, Cedars-Sinai Medical Center
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles
| |
Collapse
|
18
|
Omenn GS, Lane L, Overall CM, Corrales FJ, Schwenk JM, Paik YK, Van Eyk JE, Liu S, Snyder M, Baker MS, Deutsch EW. Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project. J Proteome Res 2018; 17:4031-4041. [PMID: 30099871 PMCID: PMC6387656 DOI: 10.1021/acs.jproteome.8b00441] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Human Proteome Project (HPP) annually reports on progress throughout the field in credibly identifying and characterizing the human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2018-01-17, the baseline for this sixth annual HPP special issue of the Journal of Proteome Research, contains 17 470 PE1 proteins, 89% of all neXtProt predicted PE1-4 proteins, up from 17 008 in release 2017-01-23 and 13 975 in release 2012-02-24. Conversely, the number of neXtProt PE2,3,4 missing proteins has been reduced from 2949 to 2579 to 2186 over the past two years. Of the PE1 proteins, 16 092 are based on mass spectrometry results, and 1378 on other kinds of protein studies, notably protein-protein interaction findings. PeptideAtlas has 15 798 canonical proteins, up 625 over the past year, including 269 from SUMOylation studies. The largest reason for missing proteins is low abundance. Meanwhile, the Human Protein Atlas has released its Cell Atlas, Pathology Atlas, and updated Tissue Atlas, and is applying recommendations from the International Working Group on Antibody Validation. Finally, there is progress using the quantitative multiplex organ-specific popular proteins targeted proteomics approach in various disease categories.
Collapse
Affiliation(s)
- Gilbert S. Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CMU, Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Christopher M. Overall
- Life Sciences Institute, Faculty of Dentistry, University of British Columbia, 2350 Health Sciences Mall, Room 4.401, Vancouver, BC Canada V6T 1Z3
| | | | - Jochen M. Schwenk
- Science for Life Laboratory, KTH Royal Institute of Technology, Tomtebodavägen 23A, 17165 Solna, Sweden
| | - Young-Ki Paik
- Yonsei Proteome Research Center, Room 425, Building #114, Yonsei University,50 Yonsei-ro, Seodaemoon-ku, Seoul 120-749, Korea
| | - Jennifer E. Van Eyk
- Advanced Clinical BioSystems Research Institute, Cedars Sinai Precision Biomarker Laboratories, Barbra Streisand Women’s Heart Center, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States
| | - Siqi Liu
- Department of Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390-9148, United States
| | - Michael Snyder
- Department of Genetics, Stanford University, Alway Building, 300 Pasteur Drive, 3165 Porter Drive, Palo Alto, 94304, United States
| | - Mark S. Baker
- Department of Biomedical Sciences, Macquarie University, NSW 2109, Australia
| | - Eric W. Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| |
Collapse
|
19
|
Paik YK, Lane L, Kawamura T, Chen YJ, Cho JY, LaBaer J, Yoo JS, Domont G, Corrales F, Omenn GS, Archakov A, Encarnación-Guevara S, Lui S, Salekdeh GH, Cho JY, Kim CY, Overall CM. Launching the C-HPP neXt-CP50 Pilot Project for Functional Characterization of Identified Proteins with No Known Function. J Proteome Res 2018; 17:4042-4050. [PMID: 30269496 PMCID: PMC6693327 DOI: 10.1021/acs.jproteome.8b00383] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
An important goal of the Human Proteome Organization (HUPO) Chromosome-centric Human Proteome Project (C-HPP) is to correctly define the number of canonical proteins encoded by their cognate open reading frames on each chromosome in the human genome. When identified with high confidence of protein evidence (PE), such proteins are termed PE1 proteins in the online database resource, neXtProt. However, proteins that have not been identified unequivocally at the protein level but that have other evidence suggestive of their existence (PE2-4) are termed missing proteins (MPs). The number of MPs has been reduced from 5511 in 2012 to 2186 in 2018 (neXtProt 2018-01-17 release). Although the annotation of the human proteome has made significant progress, the "parts list" alone does not inform function. Indeed, 1937 proteins representing ∼10% of the human proteome have no function either annotated from experimental characterization or predicted by homology to other proteins. Specifically, these 1937 "dark proteins" of the so-called dark proteome are composed of 1260 functionally uncharacterized but identified PE1 proteins, designated as uPE1, plus 677 MPs from categories PE2-PE4, which also have no known or predicted function and are termed uMPs. At the HUPO-2017 Annual Meeting, the C-HPP officially adopted the uPE1 pilot initiative, with 14 participating international teams later committing to demonstrate the feasibility of the functional characterization of large numbers of dark proteins (CP), starting first with 50 uPE1 proteins, in a stepwise chromosome-centric organizational manner. The second aim of the feasibility phase to characterize protein (CP) functions of 50 uPE1 proteins, termed the neXt-CP50 initiative, is to utilize a variety of approaches and workflows according to individual team expertise, interest, and resources so as to enable the C-HPP to recommend experimentally proven workflows to the proteome community within 3 years. The results from this pilot will not only be the cornerstone of a larger characterization initiative but also enhance understanding of the human proteome and integrated cellular networks for the discovery of new mechanisms of pathology, mechanistically informative biomarkers, and rational drug targets.
Collapse
Affiliation(s)
- Young-Ki Paik
- Yonsei Proteome Research Center and Department of Integrative Omics, Yonsei University, Sudaemoon-ku, Seoul, Korea
| | - Lydie Lane
- CALIPHO group, Swiss Institute of Bioinformatics & Department of Microbiology and Molecular medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Takeshi Kawamura
- Proteomics Laboratory, Isotope Science Center, The University of Tokyo, Bunkyo-Ku, Tokyo 113-0032 Japan
| | - Yu-Ju Chen
- Institute of Chemistry Academia Sinica, 128 Academia Road Sec. 2, Nankang Taipei 115 Taiwan
| | - Je-Yoel Cho
- Research Institute for Veterinary Science, College of Veterinary Medicine, Seoul University, 1 Gwanak-, Gwanak-gu, 151-742 Seoul, South Korea
| | - Joshua LaBaer
- McAllister Ave. Arizona State University, Tempe, Arizona, 85287-5001, USA
| | - Jong Shin Yoo
- Division of Mass Spectrometry Research, Korea Basic Science Institute, Ochang, Korea
| | - Gilberto Domont
- Federal University of Rio de Janeiro Institute of Chemistry, Rio de Janeiro, RJ Brazil
| | - Fernando Corrales
- Functional Proteomics Laboratory National Center of Biotechnology, CSIC 28049 Madrid, Spain
| | - Gilbert S. Omenn
- Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109-2218, United States
| | | | | | - Siqi Lui
- BGI-Shenzhen, Beishan Industrial Zone, Yantian District, Shenzhen, 518083, China
| | - Ghasem Hosseini Salekdeh
- Department of Molecular Systems Biology, Royan Institute for Stem Cell Biology and Technology, 1665659911, Tehran, Iran
- Department of Molecular Sciences, Macquarie University, Sydney, Australia
| | - Jin-Young Cho
- Yonsei Proteome Research Center and Department of Integrative Omics, Yonsei University, Sudaemoon-ku, Seoul, Korea
| | - Chae-Yeon Kim
- Yonsei Proteome Research Center and Department of Integrative Omics, Yonsei University, Sudaemoon-ku, Seoul, Korea
| | - Christopher M. Overall
- Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry, University of British Columbia, Vancouver, Canada
| |
Collapse
|
20
|
Siddiqui O, Zhang H, Guan Y, Omenn GS. Chromosome 17 Missing Proteins: Recent Progress and Future Directions as Part of the neXt-MP50 Challenge. J Proteome Res 2018; 17:4061-4071. [PMID: 30280577 DOI: 10.1021/acs.jproteome.8b00442] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The Chromosome-centric Human Proteome Project (C-HPP), announced in September 2016, is an initiative to accelerate progress on the detection and characterization of neXtProt PE2,3,4 "missing proteins" (MPs) with a mandate to each chromosome team to find about 50 MPs over 2 years. Here we report major progress toward the neXt-MP50 challenge with 43 newly validated Chr 17 PE1 proteins, of which 25 were based on mass spectrometry, 12 on protein-protein interactions, 3 on a combination of MS and PPI, and 3 with other types of data. Notable among these new PE1 proteins were five keratin-associated proteins, a single olfactory receptor, and five additional membrane-embedded proteins. We evaluate the prospects of finding the remaining 105 MPs coded for on Chr 17, focusing on mass spectrometry and protein-protein interaction approaches. We present a list of 35 prioritized MPs with specific approaches that may be used in further MS and PPI experimental studies. Additionally, we demonstrate how in silico studies can be used to capture individual peptides from major data repositories, documenting one MP that appears to be a strong candidate for PE1. We are close to our goal of finding 50 MPs for Chr 17.
Collapse
Affiliation(s)
- Omer Siddiqui
- Department of Electronic Engineering and Computer Science , University of Michigan , Ann Arbor , Michigan 48109 , United States.,Department of Computational Medicine and Bioinformatics , University of Michigan , Ann Arbor , Michigan 48109 , United States
| | - Hongjiu Zhang
- Department of Computational Medicine and Bioinformatics , University of Michigan , Ann Arbor , Michigan 48109 , United States
| | - Yuanfang Guan
- Department of Computational Medicine and Bioinformatics , University of Michigan , Ann Arbor , Michigan 48109 , United States.,Department of Internal Medicine , University of Michigan , Ann Arbor , Michigan 48109 , United States
| | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics , University of Michigan , Ann Arbor , Michigan 48109 , United States.,Department of Internal Medicine , University of Michigan , Ann Arbor , Michigan 48109 , United States.,Department of Human Genetics and School of Public Health , University of Michigan , Ann Arbor , Michigan 48109 , United States
| |
Collapse
|
21
|
Sun J, Shi J, Wang Y, Chen Y, Li Y, Kong D, Chang L, Liu F, Lv Z, Zhou Y, He F, Zhang Y, Xu P. Multiproteases Combined with High-pH Reverse-Phase Separation Strategy Verified Fourteen Missing Proteins in Human Testis Tissue. J Proteome Res 2018; 17:4171-4177. [PMID: 30280576 DOI: 10.1021/acs.jproteome.8b00397] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Subsequent to conducting the Chromosome-Centric Human Proteome Project, we have focused on human testis-enriched missing proteins (MPs) since 2015. For protein coverage to be enhanced, a multiprotease strategy was used for separation of samples by 10% SDS-PAGE. For the separating efficiency to be improved, a high-pH reverse phase (RP) separation strategy was applied to fractionate complex samples in this study. A total of 11,558 proteins was identified, which is the largest proteome data set for single human tissue sample so far. On the basis of this large-scale data set, we verified 14 MPs (PE2) in neXtProt (2018-01) after spectrum quality analysis, isobaric post-translational modification, and single amino acid variant filtering, and synthesized peptide matching. Tissue expression analysis showed that 3 of 14 MPs were testis-specific proteins. Functional analysis showed that 10 of 14 MPs were closely related to liver tumor, liver carcinoma, and hepatocellular carcinoma. Another 100 MPs were listed as candidates but required additional verification information. All MS data sets have been deposited into the ProteomeXchange with the identifier PXD009737.
Collapse
Affiliation(s)
- Jinshuai Sun
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences , Hebei University , Baoding , Hebei 071002 , China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Jiahui Shi
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences , Hebei University , Baoding , Hebei 071002 , China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Yihao Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Yang Chen
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Yanchang Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Degang Kong
- Department of Hepatopancreatobiliary Surgery , The Second Affiliated Hospital of Tianjin Medical University , Tianjin 300211 , China
| | - Lei Chang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Fengsong Liu
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences , Hebei University , Baoding , Hebei 071002 , China
| | - Zhitang Lv
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences , Hebei University , Baoding , Hebei 071002 , China
| | - Yue Zhou
- Demo Laboratory of Thermofisher Scientific China , Shanghai 200120 , China
| | - Fuchu He
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China
| | - Yao Zhang
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, School of Life Sciences , Sun Yat-Sen University , Guangzhou 510275 , China
| | - Ping Xu
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences , Hebei University , Baoding , Hebei 071002 , China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing) , Beijing Institute of Lifeomics , Beijing 102206 , China.,Key Laboratory of Combinational Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, School of Pharmaceutical Science , Wuhan University , Wuhan 430072 , China
| |
Collapse
|
22
|
Jeong SK, Kim CY, Paik YK. ASV-ID, a Proteogenomic Workflow To Predict Candidate Protein Isoforms on the Basis of Transcript Evidence. J Proteome Res 2018; 17:4235-4242. [PMID: 30289715 DOI: 10.1021/acs.jproteome.8b00548] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
One of the goals of the Chromosome-Centric Human Proteome Project (C-HPP) is to map and characterize the functions of protein isoforms produced by alternative splicing of genes. However, identifying alternative splice variants (ASVs) via mass spectrometry remains a major challenge, because ASVs usually contain highly homologous peptide sequences. A routine protein sequence analysis suggests that more than half of the investigated proteins do not generate two or more uniquely mapping peptides that would enable their isoforms to be distinguished. Here, we develop a new proteogenomics method, named "ASV-ID" (alternative splicing variants identification), which enables identification of ASVs by using a cell type-specific protein sequence database that is supported by RNA-Seq data. Using this workflow, we identify 1935 distinct proteins under highly stringent conditions. In fact, transcript evidence on these 841 proteins helps us distinguish them from other isoforms, despite the fact that these proteins are not predicted to make 2 or more uniquely mapping peptides. We also demonstrate that ASV-ID enables detection of 19 differently expressed isoforms present in several cell lines. Thus, a new workflow using ASV-ID has the potential to map yet-to-be-identified difficult protein isoforms in a simple and robust way.
Collapse
|
23
|
Monti C, Lane L, Fasano M, Alberio T. Update of the Functional Mitochondrial Human Proteome Network. J Proteome Res 2018; 17:4297-4306. [PMID: 30230342 DOI: 10.1021/acs.jproteome.8b00447] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Because of the pivotal role of mitochondrial alterations in several diseases, the Human Proteome Organization (HUPO) has promoted in recent years an initiative to characterize the mitochondrial human proteome, the mitochondrial human proteome project (mt-HPP). Here we generated an updated version of the functional mitochondrial human proteome network, made by nodes (mitochondrial proteins) and edges (gold binary interactions), using data retrieved from neXtProt, the reference database for HPP metrics. The principal new concept suggested was the consideration of mitochondria-associated proteins (first interactors), which may influence mitochondrial functions. All of the proteins described as mitochondrial in the sublocation or the GO Cellular Component sections of neXtProt were considered. Their other subcellular and submitochondrial localizations have been analyzed. The network represents the effort to collect all of the high-quality binary interactions described so far for mitochondrial proteins and the possibility for the community to reuse the information collected. As a proof of principle, we mapped proteins with no function, to speculate on their role by the background knowledge of their interactors, and proteins described to be involved in Parkinson's Disease, a neurodegenerative disorder, where it is known that mitochondria play a central role.
Collapse
Affiliation(s)
- Chiara Monti
- Department of Science and High Technology and Center of Bioinformatics , University of Insubria , Busto Arsizio 21052 , Italy
| | - Lydie Lane
- Computer and Laboratory Investigation of Proteins of Human Origin (CALIPHO), SIB Swiss Institute of Bioinformatics, and Department of Microbiology and Molecular Medicine, Faculty of Medicine , University of Geneva, Centre Médical Universitaire (CMU) , 1211 Geneva 4 , Switzerland
| | - Mauro Fasano
- Department of Science and High Technology and Center of Bioinformatics , University of Insubria , Busto Arsizio 21052 , Italy
| | - Tiziana Alberio
- Department of Science and High Technology and Center of Bioinformatics , University of Insubria , Busto Arsizio 21052 , Italy
| |
Collapse
|
24
|
He C, Sun J, Shi J, Wang Y, Zhao J, Wu S, Chang L, Gao H, Liu F, Lv Z, He F, Zhang Y, Xu P. Digging for Missing Proteins Using Low-Molecular-Weight Protein Enrichment and a “Mirror Protease” Strategy. J Proteome Res 2018; 17:4178-4185. [DOI: 10.1021/acs.jproteome.8b00398] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Cuitong He
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Jinshuai Sun
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Jiahui Shi
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Yihao Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Jialing Zhao
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
- Key Laboratory of Combinational Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, School of Pharmaceutical Science, Wuhan University, Wuhan 430072, China
| | - Shujia Wu
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
- Key Laboratory of Combinational Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, School of Pharmaceutical Science, Wuhan University, Wuhan 430072, China
| | - Lei Chang
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Huiying Gao
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Fengsong Liu
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Zhitang Lv
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
| | - Fuchu He
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Yao Zhang
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
| | - Ping Xu
- State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing Proteome Research Center, Beijing 102206, China
- Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding, Hebei 071002, China
- Key Laboratory of Combinational Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, School of Pharmaceutical Science, Wuhan University, Wuhan 430072, China
| |
Collapse
|
25
|
Sjöstedt E, Sivertsson Å, Hikmet Noraddin F, Katona B, Näsström Å, Vuu J, Kesti D, Oksvold P, Edqvist PH, Olsson I, Uhlén M, Lindskog C. Integration of Transcriptomics and Antibody-Based Proteomics for Exploration of Proteins Expressed in Specialized Tissues. J Proteome Res 2018; 17:4127-4137. [DOI: 10.1021/acs.jproteome.8b00406] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Evelina Sjöstedt
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm SE 171 21, Sweden
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Åsa Sivertsson
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm SE 171 21, Sweden
| | - Feria Hikmet Noraddin
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Borbala Katona
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Åsa Näsström
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Jimmy Vuu
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Dennis Kesti
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Per Oksvold
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm SE 171 21, Sweden
| | - Per-Henrik Edqvist
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Ingmarie Olsson
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| | - Mathias Uhlén
- Science for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH - Royal Institute of Technology, Stockholm SE 171 21, Sweden
| | - Cecilia Lindskog
- Rudbeck Laboratory, Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala SE 752 37, Sweden
| |
Collapse
|
26
|
Robin T, Bairoch A, Müller M, Lisacek F, Lane L. Large-Scale Reanalysis of Publicly Available HeLa Cell Proteomics Data in the Context of the Human Proteome Project. J Proteome Res 2018; 17:4160-4170. [DOI: 10.1021/acs.jproteome.8b00392] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Thibault Robin
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Rue Michel-Servet 1, CH-1211 Geneva, Switzerland
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, CMU, Rue Michel-Servet 1, CH-1211 Geneva, Switzerland
- Computer Science Department, University of Geneva, CH-1211 Geneva, Switzerland
- Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| | - Amos Bairoch
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Rue Michel-Servet 1, CH-1211 Geneva, Switzerland
- Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| | - Markus Müller
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, Genopode Building, Quartier Sorge, CH-1015 Lausanne, Switzerland
| | - Frédérique Lisacek
- Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, CMU, Rue Michel-Servet 1, CH-1211 Geneva, Switzerland
- Computer Science Department, University of Geneva, CH-1211 Geneva, Switzerland
- Section of Biology, University of Geneva, CH-1211 Geneva, Switzerland
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics, CMU, Rue Michel-Servet 1, CH-1211 Geneva, Switzerland
- Department of Microbiology and Molecular Medicine, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland
| |
Collapse
|
27
|
Bittremieux W, Tabb DL, Impens F, Staes A, Timmerman E, Martens L, Laukens K. Quality control in mass spectrometry-based proteomics. MASS SPECTROMETRY REVIEWS 2018; 37:697-711. [PMID: 28802010 DOI: 10.1002/mas.21544] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Revised: 07/24/2017] [Accepted: 07/24/2017] [Indexed: 05/21/2023]
Abstract
Mass spectrometry is a highly complex analytical technique and mass spectrometry-based proteomics experiments can be subject to a large variability, which forms an obstacle to obtaining accurate and reproducible results. Therefore, a comprehensive and systematic approach to quality control is an essential requirement to inspire confidence in the generated results. A typical mass spectrometry experiment consists of multiple different phases including the sample preparation, liquid chromatography, mass spectrometry, and bioinformatics stages. We review potential sources of variability that can impact the results of a mass spectrometry experiment occurring in all of these steps, and we discuss how to monitor and remedy the negative influences on the experimental results. Furthermore, we describe how specialized quality control samples of varying sample complexity can be incorporated into the experimental workflow and how they can be used to rigorously assess detailed aspects of the instrument performance.
Collapse
Affiliation(s)
- Wout Bittremieux
- Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Center Antwerp (Biomina), University of Antwerp/Antwerp University Hospital, Edegem, Belgium
| | - David L Tabb
- Division of Molecular Biology and Human Genetics, Stellenbosch University Faculty of Medicine and Health Sciences, Tygerberg Hospital, Cape Town, South Africa
| | - Francis Impens
- VIB Proteomics Core, Ghent, Belgium
- VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Department of Biochemistry, Ghent University, Ghent, Belgium
| | - An Staes
- VIB Proteomics Core, Ghent, Belgium
- VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Department of Biochemistry, Ghent University, Ghent, Belgium
| | - Evy Timmerman
- VIB Proteomics Core, Ghent, Belgium
- VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Department of Biochemistry, Ghent University, Ghent, Belgium
| | - Lennart Martens
- VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Faculty of Medicine and Health Sciences, Department of Biochemistry, Ghent University, Ghent, Belgium
- Bioinformatics Institute Ghent, Ghent University, Zwijnaarde, Belgium
| | - Kris Laukens
- Department of Mathematics and Computer Science, University of Antwerp, Antwerp, Belgium
- Biomedical Informatics Research Center Antwerp (Biomina), University of Antwerp/Antwerp University Hospital, Edegem, Belgium
| |
Collapse
|
28
|
Melaine N, Com E, Bellaud P, Guillot L, Lagarrigue M, Morrice NA, Guével B, Lavigne R, Velez de la Calle JF, Dojahn J, Pineau C. Deciphering the Dark Proteome: Use of the Testis and Characterization of Two Dark Proteins. J Proteome Res 2018; 17:4197-4210. [DOI: 10.1021/acs.jproteome.8b00387] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Nathalie Melaine
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | - Emmanuelle Com
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | - Pascale Bellaud
- H2P2 Core Facility, UMS BioSit, Univ Rennes, Rennes F-35040, France
| | - Laetitia Guillot
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | - Mélanie Lagarrigue
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | - Nick A. Morrice
- Sciex, Phoenix House Lakeside Drive Centre Park, Warrington WA1 1RX, U.K
| | - Blandine Guével
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | - Régis Lavigne
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| | | | - Jörg Dojahn
- Sciex, Landwehrstr. 54, 64293 Darmstadt, Germany
| | - Charles Pineau
- Univ Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)—UMR S 1085, F-35042 Rennes cedex, France
- Protim, Univ Rennes, F-35042 Rennes, France
| |
Collapse
|
29
|
Paik YK, Overall CM, Deutsch EW, Hancock WS, Omenn GS. Progress in the Chromosome-Centric Human Proteome Project as Highlighted in the Annual Special Issue IV. J Proteome Res 2018; 15:3945-3950. [PMID: 27809547 DOI: 10.1021/acs.jproteome.6b00803] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Young-Ki Paik
- Yonsei Proteome Research Center and Department of Biochemistry, Yonsei University
| | - Christopher M Overall
- Centre for Blood Research, Departments of Oral Biological & Medical Sciences, and Biochemistry & Molecular Biology, Faculty of Dentistry, University of British Columbia
| | | | | | - Gilbert S Omenn
- Departments of Computational Medicine & Bioinformatics, Internal Medicine, and Human Genetics and School of Public Health, University of Michigan
| |
Collapse
|
30
|
Mostovenko E, Végvári Á, Rezeli M, Lichti CF, Fenyö D, Wang Q, Lang FF, Sulman EP, Sahlin KB, Marko-Varga G, Nilsson CL. Large Scale Identification of Variant Proteins in Glioma Stem Cells. ACS Chem Neurosci 2018; 9:73-79. [PMID: 29254333 PMCID: PMC6008157 DOI: 10.1021/acschemneuro.7b00362] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Glioblastoma (GBM), the most malignant of primary brain tumors, is a devastating and deadly disease, with a median survival of 14 months from diagnosis, despite standard regimens of radical brain tumor surgery, maximal safe radiation, and concomitant chemotherapy. GBM tumors nearly always re-emerge after initial treatment and frequently display resistance to current treatments. One theory that may explain GBM re-emergence is the existence of glioma stemlike cells (GSCs). We sought to identify variant protein features expressed in low passage GSCs derived from patient tumors. To this end, we developed a proteomic database that reflected variant and nonvariant sequences in the human proteome, and applied a novel retrograde proteomic workflow, to identify and validate the expression of 126 protein variants in 33 glioma stem cell strains. These newly identified proteins may harbor a subset of novel protein targets for future development of GBM therapy.
Collapse
Affiliation(s)
- Ekaterina Mostovenko
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1217 E. Marshall St., Richmond, VA 23284
| | - Ákos Végvári
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, SE-221 84 Lund, Sweden
| | - Melinda Rezeli
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, SE-221 84 Lund, Sweden
| | - Cheryl F. Lichti
- Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, 1217 E. Marshall St., Richmond, VA 23284
- Department of Pathology and Immunology, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, Missouri, 63110
| | - David Fenyö
- Department of Biochemistry and Molecular Pharmacology and Institute for Systems Genetics, New York University School of Medicine, New York City, New York 10016, United States
| | - Qianghu Wang
- Department of Genomic Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
- Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
| | - Frederick F. Lang
- Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
| | - Erik P. Sulman
- Department of Genomic Medicine, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
- Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
- Translational Molecular Pathology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, United States
| | - K. Barbara Sahlin
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, SE-221 84 Lund, Sweden
| | - György Marko-Varga
- Clinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, SE-221 84 Lund, Sweden
| | - Carol L. Nilsson
- Center of Excellence in Biological and Medical Mass Spectrometry, Lund University, Klinikgatan 32, Lund, SE-221 84 Sweden
| |
Collapse
|
31
|
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.
Collapse
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
| |
Collapse
|
32
|
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.
Collapse
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
| |
Collapse
|
33
|
Na K, Shin H, Cho JY, Jung SH, Lim J, Lim JS, Kim EA, Kim HS, Kang AR, Kim JH, Shin JM, Jeong SK, Kim CY, Park JY, Chung HM, Omenn GS, Hancock WS, Paik YK. Systematic Proteogenomic Approach To Exploring a Novel Function for NHERF1 in Human Reproductive Disorder: Lessons for Exploring Missing Proteins. J Proteome Res 2017; 16:4455-4467. [PMID: 28960081 DOI: 10.1021/acs.jproteome.7b00146] [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] [Indexed: 12/22/2022]
Abstract
One of the major goals of the Chromosome-Centric Human Proteome Project (C-HPP) is to fill the knowledge gaps between human genomic information and the corresponding proteomic information. These gaps are due to "missing" proteins (MPs)-predicted proteins with insufficient evidence from mass spectrometry (MS), biochemical, structural, or antibody analyses-that currently account for 2579 of the 19587 predicted human proteins (neXtProt, 2017-01). We address some of the lessons learned from the inconsistent annotations of missing proteins in databases (DB) and demonstrate a systematic proteogenomic approach designed to explore a potential new function of a known protein. To illustrate a cautious and strategic approach for characterization of novel function in vitro and in vivo, we present the case of Na(+)/H(+) exchange regulatory cofactor 1 (NHERF1/SLC9A3R1, located at chromosome 17q25.1; hereafter NHERF1), which was mistakenly labeled as an MP in one DB (Global Proteome Machine Database; GPMDB, 2011-09 release) but was well known in another public DB and in the literature. As a first step, NHERF1 was determined by MS and immunoblotting for its molecular identity. We next investigated the potential new function of NHERF1 by carrying out the quantitative MS profiling of placental trophoblasts (PXD004723) and functional study of cytotrophoblast JEG-3 cells. We found that NHERF1 was associated with trophoblast differentiation and motility. To validate this newly found cellular function of NHERF1, we used the Caenorhabditis elegans mutant of nrfl-1 (a nematode ortholog of NHERF1), which exhibits a protruding vulva (Pvl) and egg-laying-defective phenotype, and performed genetic complementation work. The nrfl-1 mutant was almost fully rescued by the transfection of the recombinant transgenic construct that contained human NHERF1. These results suggest that NHERF1 could have a previously unknown function in pregnancy and in the development of human embryos. Our study outlines a stepwise experimental platform to explore new functions of ambiguously denoted candidate proteins and scrutinizes the mandated DB search for the selection of MPs to study in the future.
Collapse
Affiliation(s)
- Keun Na
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, South Korea
| | - Heon Shin
- Department of Integrated OMICS for Biomedical Science, Yonsei University , Seoul 03722, South Korea
| | - Jin-Young Cho
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, South Korea
| | - Sang Hee Jung
- Department of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University , Seongnam 13496, South Korea
| | - Jaeseung Lim
- CHA Biotech Co., Ltd. , Seongnam 13488, South Korea
| | - Jong-Sun Lim
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, South Korea
| | - Eun Ah Kim
- Department of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University , Seongnam 13496, South Korea
| | - Hye Sun Kim
- CHA Biotech Co., Ltd. , Seongnam 13488, South Korea
| | - Ah Reum Kang
- CHA Biotech Co., Ltd. , Seongnam 13488, South Korea
| | - Ji Hye Kim
- CHA Biotech Co., Ltd. , Seongnam 13488, South Korea
| | - Jeong Min Shin
- Department of Biochemistry, CHA University , Seongnam 13488, South Korea
| | - Seul-Ki Jeong
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, South Korea
| | - Chae-Yeon Kim
- Department of Integrated OMICS for Biomedical Science, Yonsei University , Seoul 03722, South Korea
| | - Jun Young Park
- Department of Integrated OMICS for Biomedical Science, Yonsei University , Seoul 03722, South Korea
| | - Hyung-Min Chung
- Department of Medicine, School of Medicine, Konkuk University , Seoul 143701, South Korea
| | - Gilbert S Omenn
- Center for Computational Medicine and Bioinformatics, University of Michigan , Ann Arbor, Michigan 48109, United States
| | - William S Hancock
- Department of Chemical Biology, Northeastern University , Boston, Massachusetts 02115, United States
| | - Young-Ki Paik
- Yonsei Proteome Research Center, Yonsei University , Seoul 03722, South Korea.,Department of Integrated OMICS for Biomedical Science, Yonsei University , Seoul 03722, South Korea.,Department of Biochemistry, College of Life Science and Biotechnology, Yonsei University , Seoul 03722, South Korea
| |
Collapse
|
34
|
Elguoshy A, Hirao Y, Xu B, Saito S, Quadery AF, Yamamoto K, Mitsui T, Yamamoto T. Identification and Validation of Human Missing Proteins and Peptides in Public Proteome Databases: Data Mining Strategy. J Proteome Res 2017; 16:4403-4414. [PMID: 28980472 DOI: 10.1021/acs.jproteome.7b00423] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
In an attempt to complete human proteome project (HPP), Chromosome-Centric Human Proteome Project (C-HPP) launched the journey of missing protein (MP) investigation in 2012. However, 2579 and 572 protein entries in the neXtProt (2017-1) are still considered as missing and uncertain proteins, respectively. Thus, in this study, we proposed a pipeline to analyze, identify, and validate human missing and uncertain proteins in open-access transcriptomics and proteomics databases. Analysis of RNA expression pattern for missing proteins in Human protein Atlas showed that 28% of them, such as Olfactory receptor 1I1 ( O60431 ), had no RNA expression, suggesting the necessity to consider uncommon tissues for transcriptomic and proteomic studies. Interestingly, 21% had elevated expression level in a particular tissue (tissue-enriched proteins), indicating the importance of targeting such proteins in their elevated tissues. Additionally, the analysis of RNA expression level for missing proteins showed that 95% had no or low expression level (0-10 transcripts per million), indicating that low abundance is one of the major obstacles facing the detection of missing proteins. Moreover, missing proteins are predicted to generate fewer predicted unique tryptic peptides than the identified proteins. Searching for these predicted unique tryptic peptides that correspond to missing and uncertain proteins in the experimental peptide list of open-access MS-based databases (PA, GPM) resulted in the detection of 402 missing and 19 uncertain proteins with at least two unique peptides (≥9 aa) at <(5 × 10-4)% FDR. Finally, matching the native spectra for the experimentally detected peptides with their SRMAtlas synthetic counterparts at three transition sources (QQQ, QTOF, QTRAP) gave us an opportunity to validate 41 missing proteins by ≥2 proteotypic peptides.
Collapse
Affiliation(s)
- Amr Elguoshy
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan.,Graduate School of Science and Technology, Niigata University , Niigata 950-2181, Japan.,Biotechnology Department - Faculty of Agriculture, Al-azhar University , Cairo 11651, Egypt
| | - Yoshitoshi Hirao
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | - Bo Xu
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | - Suguru Saito
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | - Ali F Quadery
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | - Keiko Yamamoto
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | - Toshiaki Mitsui
- Graduate School of Science and Technology, Niigata University , Niigata 950-2181, Japan
| | - Tadashi Yamamoto
- Biofluid and Biomarker Center, Niigata University , Niigata 950-2181, Japan
| | | |
Collapse
|
35
|
Poverennaya EV, Ilgisonis EV, Ponomarenko EA, Kopylov AT, Zgoda VG, Radko SP, Lisitsa AV, Archakov AI. Why Are the Correlations between mRNA and Protein Levels so Low among the 275 Predicted Protein-Coding Genes on Human Chromosome 18? J Proteome Res 2017; 16:4311-4318. [PMID: 28956606 DOI: 10.1021/acs.jproteome.7b00348] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this work targeted (selected reaction monitoring, SRM, PASSEL: PASS00697) and panoramic (shotgun LC-MS/MS, PRIDE: PXD00244) mass-spectrometric methods as well as transcriptomic analysis of the same samples using RNA-Seq and PCR methods (SRA experiment IDs: SRX341198, SRX267708, SRX395473, SRX390071) were applied for quantification of chromosome 18 encoded transcripts and proteins in human liver and HepG2 cells. The obtained data was used for the estimation of quantitative mRNA-protein ratios for the 275 genes of the selected chromosome in the selected tissues. The impact of methodological limitations of existing analytical proteomic methods on gene-specific mRNA-protein ratios and possible ways of overcoming these limitations for detection of missing proteins are also discussed.
Collapse
Affiliation(s)
| | | | | | | | - Victor G Zgoda
- Institute of Biomedical Chemistry RAS , 119121 Moscow, Russia
| | - Sergey P Radko
- Institute of Biomedical Chemistry RAS , 119121 Moscow, Russia
| | | | | |
Collapse
|
36
|
Omenn GS, Lane L, Lundberg EK, Overall CM, Deutsch EW. Progress on the HUPO Draft Human Proteome: 2017 Metrics of the Human Proteome Project. J Proteome Res 2017; 16:4281-4287. [PMID: 28853897 DOI: 10.1021/acs.jproteome.7b00375] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The Human Proteome Organization (HUPO) Human Proteome Project (HPP) continues to make progress on its two overall goals: (1) completing the protein parts list, with an annual update of the HUPO draft human proteome, and (2) making proteomics an integrated complement to genomics and transcriptomics throughout biomedical and life sciences research. neXtProt version 2017-01-23 has 17 008 confident protein identifications (Protein Existence [PE] level 1) that are compliant with the HPP Guidelines v2.1 ( https://hupo.org/Guidelines ), up from 13 664 in 2012-12 and 16 518 in 2016-04. Remaining to be found by mass spectrometry and other methods are 2579 "missing proteins" (PE2+3+4), down from 2949 in 2016. PeptideAtlas 2017-01 has 15 173 canonical proteins, accounting for nearly all of the 15 290 PE1 proteins based on MS data. These resources have extensive data on PTMs, single amino acid variants, and splice isoforms. The Human Protein Atlas v16 has 10 492 highly curated protein entries with tissue and subcellular spatial localization of proteins and transcript expression. Organ-specific popular protein lists have been generated for broad use in quantitative targeted proteomics using SRM-MS or DIA-SWATH-MS studies of biology and disease.
Collapse
Affiliation(s)
- Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan , 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States.,Institute for Systems Biology , 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Human Protein Science, University of Geneva , CMU, Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Emma K Lundberg
- SciLifeLab Stockholm and School of Biotechnology, KTH, Karolinska Institutet Science Park , Tomtebodavägen 23, SE-171 65 Solna, Sweden
| | - Christopher M Overall
- Life Sciences Institute, Faculty of Dentistry, University of British Columbia , 2350 Health Sciences Mall, Room 4.401, Vancouver, British Columbia V6T 1Z3, Canada
| | - Eric W Deutsch
- Institute for Systems Biology , 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| |
Collapse
|
37
|
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
| |
Collapse
|
38
|
Peng X, Xu F, Liu S, Li S, Huang Q, Chang L, Wang L, Ma X, He F, Xu P. Identification of Missing Proteins in the Phosphoproteome of Kidney Cancer. J Proteome Res 2017; 16:4364-4373. [PMID: 28857561 DOI: 10.1021/acs.jproteome.7b00332] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Identifying missing proteins (MPs) has been one of the critical missions of the Chromosome-Centric Human Proteome Project (C-HPP). Since 2012, over 30 research teams from 17 countries have been trying to search adequate and accurate evidence of MPs through various biochemical strategies. MPs mainly fall into the following classes: (1) low-molecular-weight (LMW) proteins, (2) membrane proteins, (3) proteins that contained various post-translational modifications (PTMs), (4) nucleic acid-associated proteins, (5) low abundance, and (6) unexpressed genes. In this study, kidney cancer and adjacent tissues were used for phosphoproteomics research, and 8962 proteins were identified, including 6415 phosphoproteins, and 44 728 phosphosites, of which 10 266 were unreported previously. In total, 75 candidate detections were found, including 45 phoshoproteins. GO analysis for these 75 candidate detections revealed that these proteins mainly clustered as membrane proteins and took part in nephron and kidney development. After rigorous screening and manual check, 9 of them were verified with the synthesized peptides. Finally, only one missing protein was confirmed. All mass spectrometry data from this study have been deposited in the PRIDE with identifier PXD006482.
Collapse
Affiliation(s)
- Xuehui Peng
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China.,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
| | - Feng 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
| | - Shu Liu
- 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
| | - Suzhen Li
- Graduate School, Anhui Medical University , Hefei 230032, China
| | - Qingbo Huang
- Chinese PLA General Hospital , Urology Department, Beijing 100853, China
| | - Lei Chang
- 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
| | - Lei Wang
- Chinese PLA General Hospital , Urology Department, Beijing 100853, China
| | - Xin Ma
- Chinese PLA General Hospital , Urology Department, Beijing 100853, 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
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery of the Ministry of Education, School of Pharmaceutical Sciences, Wuhan University , Wuhan 430072, China.,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
| |
Collapse
|
39
|
Skvortsov VS, Mikurova AV, Rybina AV. [Use of de novo sequencing for proteins identification]. BIOMEDIT︠S︡INSKAI︠A︡ KHIMII︠A︡ 2017; 63:341-350. [PMID: 28862606 DOI: 10.18097/pbmc20176304341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Three de novo sequencing programs (Novor, PEAKS and PepNovo+) have been used for identification of 48 individual human proteins constituting the Universal Proteomics Standard Set 2 (UPS2) ("Sigma-Aldrich", USA). Experimental data have been obtained by tandem mass spectrometry. The MS/MS was performed using pure UPS2 and UPS2 mixtures with E. coli extract and human plasma samples. Protein detection was based on identification of at least two peptides of 9 residues in length or one peptide containing at least 13 residues. Using these criteria 13 (Novor), 20 (PEAKS) and 11 (PepNovo+) proteins were detected in pure UPS2 sample. Protein identifications in mixed samples were comparable or worse. Better results (by ~20%) were obtained using prediction included high quality identified fragment (TAG) containing at least 7 residues and unidentified additional masses at N- and C-termini (PepNovo+). The latter approach confidently recognized mass-spectrometric artefacts (and probably PTM). Atypical mass changes missed in UNIMOD DB were found (PepNovo+) to be statistically significant at the C-terminus (+23.02, +26.04 and +27.03). Using peptides containing these modifications and milder detection threshold 41 of 48 UPS2 proteins were identified.
Collapse
Affiliation(s)
| | - A V Mikurova
- Institute of Biomedical Chemistry, Moscow, Russia
| | - A V Rybina
- Institute of Biomedical Chemistry, Moscow, Russia
| |
Collapse
|
40
|
Yelamanchi SD, Kumar M, Madugundu AK, Gopalakrishnan L, Dey G, Chavan S, Sathe G, Mathur PP, Gowda H, Mahadevan A, Shankar SK, Prasad TSK. Characterization of human pineal gland proteome. MOLECULAR BIOSYSTEMS 2017; 12:3622-3632. [PMID: 27714013 DOI: 10.1039/c6mb00507a] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The pineal gland is a neuroendocrine gland located at the center of the brain. It is known to regulate various physiological functions in the body through secretion of the neurohormone melatonin. Comprehensive characterization of the human pineal gland proteome has not been undertaken to date. We employed a high-resolution mass spectrometry-based approach to characterize the proteome of the human pineal gland. A total of 5874 proteins were identified from the human pineal gland in this study. Of these, 5820 proteins were identified from the human pineal gland for the first time. Interestingly, 1136 proteins from the human pineal gland were found to contain a signal peptide domain, which indicates the secretory nature of these proteins. An unbiased global proteomic profile of this biomedically important organ should benefit molecular research to unravel the role of the pineal gland in neuropsychiatric and neurodegenerative diseases.
Collapse
Affiliation(s)
- Soujanya D Yelamanchi
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and School of Biotechnology, KIIT University, Bhubaneswar 751 024, India.
| | - Manish Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and Manipal University, Madhav Nagar, Manipal 576 104, India
| | - Anil K Madugundu
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and Centre for Bioinformatics, Pondicherry University, Puducherry 605 014, India
| | | | - Gourav Dey
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and Manipal University, Madhav Nagar, Manipal 576 104, India
| | - Sandip Chavan
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and Manipal University, Madhav Nagar, Manipal 576 104, India
| | - Gajanan Sathe
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and Manipal University, Madhav Nagar, Manipal 576 104, India
| | - Premendu P Mathur
- School of Biotechnology, KIIT University, Bhubaneswar 751 024, India. and Centre for Bioinformatics, Pondicherry University, Puducherry 605 014, India
| | - Harsha Gowda
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and School of Biotechnology, KIIT University, Bhubaneswar 751 024, India. and YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575 018, India
| | - Anita Mahadevan
- Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India. and Human Brain Tissue Repository, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India
| | - Susarla K Shankar
- Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India. and Human Brain Tissue Repository, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India and Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India
| | - T S Keshava Prasad
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India. and YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575 018, India and Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore 560 029, India
| |
Collapse
|
41
|
Fu S, Liu X, Luo M, Xie K, Nice EC, Zhang H, Huang C. Proteogenomic studies on cancer drug resistance: towards biomarker discovery and target identification. Expert Rev Proteomics 2017; 14:351-362. [PMID: 28276747 DOI: 10.1080/14789450.2017.1299006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Chemoresistance is a major obstacle for current cancer treatment. Proteogenomics is a powerful multi-omics research field that uses customized protein sequence databases generated by genomic and transcriptomic information to identify novel genes (e.g. noncoding, mutation and fusion genes) from mass spectrometry-based proteomic data. By identifying aberrations that are differentially expressed between tumor and normal pairs, this approach can also be applied to validate protein variants in cancer, which may reveal the response to drug treatment. Areas covered: In this review, we will present recent advances in proteogenomic investigations of cancer drug resistance with an emphasis on integrative proteogenomic pipelines and the biomarker discovery which contributes to achieving the goal of using precision/personalized medicine for cancer treatment. Expert commentary: The discovery and comprehensive understanding of potential biomarkers help identify the cohort of patients who may benefit from particular treatments, and will assist real-time clinical decision-making to maximize therapeutic efficacy and minimize adverse effects. With the development of MS-based proteomics and NGS-based sequencing, a growing number of proteogenomic tools are being developed specifically to investigate cancer drug resistance.
Collapse
Affiliation(s)
- Shuyue Fu
- a State Key Laboratory of Biotherapy and Cancer Center , West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy , Chengdu , P.R. China
| | - Xiang Liu
- b Department of Pathology , Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital , Chengdu , P.R. China
| | - Maochao Luo
- c West China School of Public Health, Sichuan University , Chengdu , P.R.China
| | - Ke Xie
- d Department of Oncology , Sichuan Academy of Medical Sciences, Sichuan Provincial People's Hospital , Chengdu , P.R. China
| | - Edouard C Nice
- e Department of Biochemistry and Molecular Biology , Monash University , Clayton , Australia
| | - Haiyuan Zhang
- f School of Medicine , Yangtze University , P. R. China
| | - Canhua Huang
- a State Key Laboratory of Biotherapy and Cancer Center , West China Hospital, Sichuan University, and Collaborative Innovation Center for Biotherapy , Chengdu , P.R. China
| |
Collapse
|
42
|
Gilany K, Minai-Tehrani A, Amini M, Agharezaee N, Arjmand B. The Challenge of Human Spermatozoa Proteome: A Systematic Review. J Reprod Infertil 2017; 18:267-279. [PMID: 29062791 PMCID: PMC5641436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Currently, there are 20,197 human protein-coding genes in the most expertly curated database (UniProtKB/Swiss-Pro). Big efforts have been made by the international consortium, the Chromosome-Centric Human Proteome Project (C-HPP) and independent researchers, to map human proteome. In brief, anno 2017 the human proteome was outlined. The male factor contributes to 50% of infertility in couples. However, there are limited human spermatozoa proteomic studies. Firstly, the development of the mapping of the human spermatozoa was analyzed. The human spermatozoa have been used as a model for missing proteins. It has been shown that human spermatozoa are excellent sources for finding missing proteins. Y chromosome proteome mapping is led by Iran. However, it seems that it is extremely challenging to map the human spermatozoa Y chromosome proteins based on current mass spectrometry-based proteomics technology. Post-translation modifications (PTMs) of human spermatozoa proteome are the most unexplored area and currently the exact role of PTMs in male infertility is unknown. Additionally, the clinical human spermatozoa proteomic analysis, anno 2017 was done in this study.
Collapse
Affiliation(s)
- Kambiz Gilany
- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran, Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran,Corresponding Author: Kambiz Gilany, Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran, P.O. Box: 19615-1177 E-mail:
| | - Arash Minai-Tehrani
- Nanobiotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
| | - Mehdi Amini
- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran
| | - Niloofar Agharezaee
- Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran, Department of Genetics, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Babak Arjmand
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran, Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
43
|
Navas-Carrillo D, Marín F, Valdés M, Orenes-Piñero E. Deciphering acute coronary syndrome biomarkers: High-resolution proteomics in platelets, thrombi and microparticles. Crit Rev Clin Lab Sci 2016; 54:49-58. [DOI: 10.1080/10408363.2016.1241214] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Diana Navas-Carrillo
- Department of Surgery, Hospital de la Vega Lorenzo Guirao, University of Murcia, Murcia, Spain,
| | - Francisco Marín
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain, and
| | - Mariano Valdés
- Department of Cardiology, Hospital Clínico Universitario Virgen de la Arrixaca, (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain, and
| | - Esteban Orenes-Piñero
- Proteomic Unit, Instituto Murciano de Investigación Biosanitaria Virgen de la Arrixaca (IMIB-Arrixaca), Universidad de Murcia, Murcia, Spain
| |
Collapse
|
44
|
Dong Q, Wang K, Liu X. Identifying the missing proteins in human proteome by biological language model. BMC SYSTEMS BIOLOGY 2016; 10:113. [PMID: 28155671 PMCID: PMC5259966 DOI: 10.1186/s12918-016-0352-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND With the rapid development of high-throughput sequencing technology, the proteomics research becomes a trendy field in the post genomics era. It is necessary to identify all the native-encoding protein sequences for further function and pathway analysis. Toward that end, the Human Proteome Organization lunched the Human Protein Project in 2011. However many proteins are hard to be detected by experiment methods, which becomes one of the bottleneck in Human Proteome Project. In consideration of the complicatedness of detecting these missing proteins by using wet-experiment approach, here we use bioinformatics method to pre-filter the missing proteins. RESULTS Since there are analogy between the biological sequences and natural language, the n-gram models from Natural Language Processing field has been used to filter the missing proteins. The dataset used in this study contains 616 missing proteins from the "uncertain" category of the neXtProt database. There are 102 proteins deduced by the n-gram model, which have high probability to be native human proteins. We perform a detail analysis on the predicted structure and function of these missing proteins and also compare the high probability proteins with other mass spectrum datasets. The evaluation shows that the results reported here are in good agreement with those obtained by other well-established databases. CONCLUSION The analysis shows that 102 proteins may be native gene-coding proteins and some of the missing proteins are membrane or natively disordered proteins which are hard to be detected by experiment methods.
Collapse
Affiliation(s)
- Qiwen Dong
- Institute for Data Science and Engineering, East China Normal University, Shanghai, 200062, People's Republic of China. .,Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, 518055, People's Republic of China.
| | - Kai Wang
- College of Animal Science and technology, Jilin Agricultural University, Changchun, 130118, People's Republic of China
| | - Xuan Liu
- College of Engineering, Shanghai Ocean University, Shanghai, 201303, People's Republic of China.
| |
Collapse
|
45
|
Omenn GS, Lane L, Lundberg EK, Beavis RC, Overall CM, Deutsch EW. Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications. J Proteome Res 2016; 15:3951-3960. [PMID: 27487407 PMCID: PMC5129622 DOI: 10.1021/acs.jproteome.6b00511] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The HUPO Human Proteome Project (HPP) has two overall goals: (1) stepwise completion of the protein parts list-the draft human proteome including confidently identifying and characterizing at least one protein product from each protein-coding gene, with increasing emphasis on sequence variants, post-translational modifications (PTMs), and splice isoforms of those proteins; and (2) making proteomics an integrated counterpart to genomics throughout the biomedical and life sciences community. PeptideAtlas and GPMDB reanalyze all major human mass spectrometry data sets available through ProteomeXchange with standardized protocols and stringent quality filters; neXtProt curates and integrates mass spectrometry and other findings to present the most up to date authorative compendium of the human proteome. The HPP Guidelines for Mass Spectrometry Data Interpretation version 2.1 were applied to manuscripts submitted for this 2016 C-HPP-led special issue [ www.thehpp.org/guidelines ]. The Human Proteome presented as neXtProt version 2016-02 has 16,518 confident protein identifications (Protein Existence [PE] Level 1), up from 13,664 at 2012-12, 15,646 at 2013-09, and 16,491 at 2014-10. There are 485 proteins that would have been PE1 under the Guidelines v1.0 from 2012 but now have insufficient evidence due to the agreed-upon more stringent Guidelines v2.0 to reduce false positives. neXtProt and PeptideAtlas now both require two non-nested, uniquely mapping (proteotypic) peptides of at least 9 aa in length. There are 2,949 missing proteins (PE2+3+4) as the baseline for submissions for this fourth annual C-HPP special issue of Journal of Proteome Research. PeptideAtlas has 14,629 canonical (plus 1187 uncertain and 1755 redundant) entries. GPMDB has 16,190 EC4 entries, and the Human Protein Atlas has 10,475 entries with supportive evidence. neXtProt, PeptideAtlas, and GPMDB are rich resources of information about post-translational modifications (PTMs), single amino acid variants (SAAVSs), and splice isoforms. Meanwhile, the Biology- and Disease-driven (B/D)-HPP has created comprehensive SRM resources, generated popular protein lists to guide targeted proteomics assays for specific diseases, and launched an Early Career Researchers initiative.
Collapse
Affiliation(s)
- Gilbert S. Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Avenue, Ann Arbor, Michigan 48109-2218, United States
| | - Lydie Lane
- CALIPHO Group, SIB Swiss Institute of Bioinformatics and Department of Human Protein Science, University of Geneva, CMU, Michel-Servet 1, 1211 Geneva 4, Switzerland
| | - Emma K. Lundberg
- SciLifeLab Stockholm and School of Biotechnology, KTH, Karolinska Institutet Science Park, Tomtebodavägen 23, SE-171 65 Solna, Sweden
| | - Ronald C. Beavis
- Biochemistry & Medical Genetics, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Christopher M. Overall
- Biochemistry and Molecular Biology, and Oral Biological and Medical Sciences University of British Columbia, 2350 Health Sciences Mall, Room 4.401, Vancouver, BC V6T 1Z3, Canada
| | - Eric W. Deutsch
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109-5263, United States
| |
Collapse
|
46
|
Vit O, Man P, Kadek A, Hausner J, Sklenar J, Harant K, Novak P, Scigelova M, Woffendin G, Petrak J. Large-scale identification of membrane proteins based on analysis of trypsin-protected transmembrane segments. J Proteomics 2016; 149:15-22. [DOI: 10.1016/j.jprot.2016.03.016] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 02/03/2016] [Accepted: 03/04/2016] [Indexed: 01/06/2023]
|
47
|
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.
Collapse
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
| |
Collapse
|
48
|
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.
Collapse
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
| |
Collapse
|
49
|
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.
Collapse
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
| |
Collapse
|
50
|
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.
Collapse
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
| |
Collapse
|