Literature DB >> 28938075

The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays.

Jochen M Schwenk1, Gilbert S Omenn2,3, Zhi Sun3, David S Campbell3, Mark S Baker4, Christopher M Overall5, Ruedi Aebersold6,7, Robert L Moritz3, Eric W Deutsch3.   

Abstract

Human blood plasma provides a highly accessible window to the proteome of any individual in health and disease. Since its inception in 2002, the Human Proteome Organization's Human Plasma Proteome Project (HPPP) has been promoting advances in the study and understanding of the full protein complement of human plasma and on determining the abundance and modifications of its components. In 2017, we review the history of the HPPP and the advances of human plasma proteomics in general, including several recent achievements. We then present the latest 2017-04 build of Human Plasma PeptideAtlas, which yields ∼43 million peptide-spectrum matches and 122,730 distinct peptide sequences from 178 individual experiments at a 1% protein-level FDR globally across all experiments. Applying the latest Human Proteome Project Data Interpretation Guidelines, we catalog 3509 proteins that have at least two non-nested uniquely mapping peptides of nine amino acids or more and >1300 additional proteins with ambiguous evidence. We apply the same two-peptide guideline to historical PeptideAtlas builds going back to 2006 and examine the progress made in the past ten years in plasma proteome coverage. We also compare the distribution of proteins in historical PeptideAtlas builds in various RNA abundance and cellular localization categories. We then discuss advances in plasma proteomics based on targeted mass spectrometry as well as affinity assays, which during early 2017 target ∼2000 proteins. Finally, we describe considerations about sample handling and study design, concluding with an outlook for future advances in deciphering the human plasma proteome.

Entities:  

Keywords:  Human Proteome Project; mass spectrometry; plasma; proteomics

Mesh:

Substances:

Year:  2017        PMID: 28938075      PMCID: PMC5864247          DOI: 10.1021/acs.jproteome.7b00467

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  87 in total

1.  Prediction of the human membrane proteome.

Authors:  Linn Fagerberg; Kalle Jonasson; Gunnar von Heijne; Mathias Uhlén; Lisa Berglund
Journal:  Proteomics       Date:  2010-03       Impact factor: 3.984

2.  Multiple reaction monitoring-based, multiplexed, absolute quantitation of 45 proteins in human plasma.

Authors:  Michael A Kuzyk; Derek Smith; Juncong Yang; Tyra J Cross; Angela M Jackson; Darryl B Hardie; N Leigh Anderson; Christoph H Borchers
Journal:  Mol Cell Proteomics       Date:  2009-05-01       Impact factor: 5.911

3.  Reproducibility crisis: Blame it on the antibodies.

Authors:  Monya Baker
Journal:  Nature       Date:  2015-05-21       Impact factor: 49.962

4.  Quantitative measurements of N-linked glycoproteins in human plasma by SWATH-MS.

Authors:  Yansheng Liu; Ruth Hüttenhain; Silvia Surinova; Ludovic C J Gillet; Jeppe Mouritsen; Roland Brunner; Pedro Navarro; Ruedi Aebersold
Journal:  Proteomics       Date:  2013-03-11       Impact factor: 3.984

5.  Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics.

Authors:  Ruth Hüttenhain; Martin Soste; Nathalie Selevsek; Hannes Röst; Atul Sethi; Christine Carapito; Terry Farrah; Eric W Deutsch; Ulrike Kusebauch; Robert L Moritz; Emma Niméus-Malmström; Oliver Rinner; Ruedi Aebersold
Journal:  Sci Transl Med       Date:  2012-07-11       Impact factor: 17.956

6.  A honey bee (Apis mellifera L.) PeptideAtlas crossing castes and tissues.

Authors:  Queenie W T Chan; Robert Parker; Zhi Sun; Eric W Deutsch; Leonard J Foster
Journal:  BMC Genomics       Date:  2011-06-03       Impact factor: 3.969

7.  Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas.

Authors:  Nichole L King; Eric W Deutsch; Jeffrey A Ranish; Alexey I Nesvizhskii; James S Eddes; Parag Mallick; Jimmy Eng; Frank Desiere; Mark Flory; Daniel B Martin; Bong Kim; Hookeun Lee; Brian Raught; Ruedi Aebersold
Journal:  Genome Biol       Date:  2006       Impact factor: 13.583

8.  Stability of Proteins in Dried Blood Spot Biobanks.

Authors:  Johan Björkesten; Stefan Enroth; Qiujin Shen; Lotta Wik; David M Hougaard; Arieh S Cohen; Lene Sörensen; Vilmantas Giedraitis; Martin Ingelsson; Anders Larsson; Masood Kamali-Moghaddam; Ulf Landegren
Journal:  Mol Cell Proteomics       Date:  2017-05-13       Impact factor: 5.911

9.  A Candida albicans PeptideAtlas.

Authors:  Vital Vialas; Zhi Sun; Carla Verónica Loureiro y Penha; Montserrat Carrascal; Joaquín Abián; Lucía Monteoliva; Eric W Deutsch; Ruedi Aebersold; Robert L Moritz; Concha Gil
Journal:  J Proteomics       Date:  2013-06-26       Impact factor: 4.044

10.  Protein profiling reveals consequences of lifestyle choices on predicted biological aging.

Authors:  Stefan Enroth; Sofia Bosdotter Enroth; Åsa Johansson; Ulf Gyllensten
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

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  65 in total

Review 1.  Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Fernando J Corrales; Jochen M Schwenk; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Michael Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2018-08-23       Impact factor: 4.466

Review 2.  Genetics meets proteomics: perspectives for large population-based studies.

Authors:  Karsten Suhre; Mark I McCarthy; Jochen M Schwenk
Journal:  Nat Rev Genet       Date:  2020-08-28       Impact factor: 53.242

3.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

4.  Human Blood Plasma Investigation Employing 2D UPLC-UDMSE Data-Independent Acquisition Proteomics.

Authors:  Licia C Silva-Costa; Bradley J Smith; Pamela T Carlson; Gustavo H M F Souza; Daniel Martins-de-Souza
Journal:  Methods Mol Biol       Date:  2021

5.  Small-protein Enrichment Assay Enables the Rapid, Unbiased Analysis of Over 100 Low Abundance Factors from Human Plasma.

Authors:  Dylan J Harney; Amy T Hutchison; Zhiduan Su; Luke Hatchwell; Leonie K Heilbronn; Samantha Hocking; David E James; Mark Larance
Journal:  Mol Cell Proteomics       Date:  2019-07-15       Impact factor: 5.911

6.  Co-regulatory networks of human serum proteins link genetics to disease.

Authors:  Valur Emilsson; Marjan Ilkov; John R Lamb; Lori L Jennings; Vilmundur Gudnason; Nancy Finkel; Elias F Gudmundsson; Rebecca Pitts; Heather Hoover; Valborg Gudmundsdottir; Shane R Horman; Thor Aspelund; Le Shu; Vladimir Trifonov; Sigurdur Sigurdsson; Andrei Manolescu; Jun Zhu; Örn Olafsson; Johanna Jakobsdottir; Scott A Lesley; Jeremy To; Jia Zhang; Tamara B Harris; Lenore J Launer; Bin Zhang; Gudny Eiriksdottir; Xia Yang; Anthony P Orth
Journal:  Science       Date:  2018-08-02       Impact factor: 47.728

7.  Systems-Wide Approaches in Induced Pluripotent Stem Cell Models.

Authors:  Edward Lau; David T Paik; Joseph C Wu
Journal:  Annu Rev Pathol       Date:  2018-10-31       Impact factor: 23.472

8.  Discovery of novel plasma biomarkers for future incident venous thromboembolism by untargeted synchronous precursor selection mass spectrometry proteomics.

Authors:  S B Jensen; K Hindberg; T Solomon; E N Smith; J D Lapek; D J Gonzalez; N Latysheva; K A Frazer; S K Braekkan; J-B Hansen
Journal:  J Thromb Haemost       Date:  2018-08-06       Impact factor: 5.824

9.  Thiol isomerase ERp57 targets and modulates the lectin pathway of complement activation.

Authors:  Oskar Eriksson; Joyce Chiu; Philip J Hogg; John P Atkinson; M Kathryn Liszewski; Robert Flaumenhaft; Bruce Furie
Journal:  J Biol Chem       Date:  2019-01-22       Impact factor: 5.157

Review 10.  Decoding disease: from genomes to networks to phenotypes.

Authors:  Aaron K Wong; Rachel S G Sealfon; Chandra L Theesfeld; Olga G Troyanskaya
Journal:  Nat Rev Genet       Date:  2021-08-02       Impact factor: 53.242

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