Literature DB >> 24261998

State of the human proteome in 2013 as viewed through PeptideAtlas: comparing the kidney, urine, and plasma proteomes for the biology- and disease-driven Human Proteome Project.

Terry Farrah, Eric W Deutsch, Gilbert S Omenn, Zhi Sun, Julian D Watts, Tadashi Yamamoto, David Shteynberg, Micheleen M Harris, Robert L Moritz.   

Abstract

The kidney, urine, and plasma proteomes are intimately related: proteins and metabolic waste products are filtered from the plasma by the kidney and excreted via the urine, while kidney proteins may be secreted into the circulation or released into the urine. Shotgun proteomics data sets derived from human kidney, urine, and plasma samples were collated and processed using a uniform software pipeline, and relative protein abundances were estimated by spectral counting. The resulting PeptideAtlas builds yielded 4005, 2491, and 3553 nonredundant proteins at 1% FDR for the kidney, urine, and plasma proteomes, respectively - for kidney and plasma, the largest high-confidence protein sets to date. The same pipeline applied to all available human data yielded a 2013 Human PeptideAtlas build containing 12,644 nonredundant proteins and at least one peptide for each of ∼14,000 Swiss-Prot entries, an increase over 2012 of ∼7.5% of the predicted human proteome. We demonstrate that abundances are correlated between plasma and urine, examine the most abundant urine proteins not derived from either plasma or kidney, and consider the biomarker potential of proteins associated with renal decline. This analysis forms part of the Biology and Disease-driven Human Proteome Project (B/D-HPP) and is a contribution to the Chromosome-centric Human Proteome Project (C-HPP) special issue.

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Year:  2013        PMID: 24261998      PMCID: PMC3951210          DOI: 10.1021/pr4010037

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


  58 in total

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Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

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4.  Segment-specific c-ErbB2 expression in human autosomal recessive polycystic kidney disease.

Authors:  Koichi Nakanishi; William E Sweeney; Ellis D Avner
Journal:  J Am Soc Nephrol       Date:  2001-02       Impact factor: 10.121

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Authors:  N Bernardini; F Bianchi; M Lupetti; A Dolfi
Journal:  Dev Dyn       Date:  1996-07       Impact factor: 3.780

6.  The biology/disease-driven human proteome project (B/D-HPP): enabling protein research for the life sciences community.

Authors:  Ruedi Aebersold; Gary D Bader; Aled M Edwards; Jennifer E van Eyk; Martin Kussmann; Jun Qin; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2012-12-21       Impact factor: 4.466

7.  neXtProt: organizing protein knowledge in the context of human proteome projects.

Authors:  Pascale Gaudet; Ghislaine Argoud-Puy; Isabelle Cusin; Paula Duek; Olivier Evalet; Alain Gateau; Anne Gleizes; Mario Pereira; Monique Zahn-Zabal; Catherine Zwahlen; Amos Bairoch; Lydie Lane
Journal:  J Proteome Res       Date:  2012-12-03       Impact factor: 4.466

8.  The human serum metabolome.

Authors:  Nikolaos Psychogios; David D Hau; Jun Peng; An Chi Guo; Rupasri Mandal; Souhaila Bouatra; Igor Sinelnikov; Ramanarayan Krishnamurthy; Roman Eisner; Bijaya Gautam; Nelson Young; Jianguo Xia; Craig Knox; Edison Dong; Paul Huang; Zsuzsanna Hollander; Theresa L Pedersen; Steven R Smith; Fiona Bamforth; Russ Greiner; Bruce McManus; John W Newman; Theodore Goodfriend; David S Wishart
Journal:  PLoS One       Date:  2011-02-16       Impact factor: 3.240

9.  BioVenn - a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams.

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10.  Absolute proteomic quantification of the activity state of proteases and proteolytic cleavages using proteolytic signature peptides and isobaric tags.

Authors:  Richard P Fahlman; Wei Chen; Christopher M Overall
Journal:  J Proteomics       Date:  2013-09-20       Impact factor: 4.044

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  50 in total

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Authors:  Hasmik Keshishian; Michael W Burgess; Michael A Gillette; Philipp Mertins; Karl R Clauser; D R Mani; Eric W Kuhn; Laurie A Farrell; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2015-02-27       Impact factor: 5.911

2.  Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Ronald C Beavis; Alexey I Nesvizhskii; Eric W Deutsch
Journal:  J Proteome Res       Date:  2015-07-30       Impact factor: 4.466

3.  A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.

Authors:  Mikhail M Savitski; Mathias Wilhelm; Hannes Hahne; Bernhard Kuster; Marcus Bantscheff
Journal:  Mol Cell Proteomics       Date:  2015-05-17       Impact factor: 5.911

Review 4.  Multi-functionality of proteins involved in GPCR and G protein signaling: making sense of structure-function continuum with intrinsic disorder-based proteoforms.

Authors:  Alexander V Fonin; April L Darling; Irina M Kuznetsova; Konstantin K Turoverov; Vladimir N Uversky
Journal:  Cell Mol Life Sci       Date:  2019-08-19       Impact factor: 9.261

Review 5.  The Structural and Functional Diversity of Intrinsically Disordered Regions in Transmembrane Proteins.

Authors:  Rajeswari Appadurai; Vladimir N Uversky; Anand Srivastava
Journal:  J Membr Biol       Date:  2019-05-28       Impact factor: 1.843

6.  Mass-spectrometry-based draft of the human proteome.

Authors:  Mathias Wilhelm; Judith Schlegl; Hannes Hahne; Amin Moghaddas Gholami; Marcus Lieberenz; Mikhail M Savitski; Emanuel Ziegler; Lars Butzmann; Siegfried Gessulat; Harald Marx; Toby Mathieson; Simone Lemeer; Karsten Schnatbaum; Ulf Reimer; Holger Wenschuh; Martin Mollenhauer; Julia Slotta-Huspenina; Joos-Hendrik Boese; Marcus Bantscheff; Anja Gerstmair; Franz Faerber; Bernhard Kuster
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

Review 7.  Current state of the art for enhancing urine biomarker discovery.

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Journal:  Expert Rev Proteomics       Date:  2016-06       Impact factor: 3.940

8.  Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Ronald C Beavis; Christopher M Overall; Eric W Deutsch
Journal:  J Proteome Res       Date:  2016-09-20       Impact factor: 4.466

9.  Highlights of the Biology and Disease-driven Human Proteome Project, 2015-2016.

Authors:  Jennifer E Van Eyk; Fernando J Corrales; Ruedi Aebersold; Ferdinando Cerciello; Eric W Deutsch; Paola Roncada; Jean-Charles Sanchez; Tadashi Yamamoto; Pengyuan Yang; Hui Zhang; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2016-09-20       Impact factor: 4.466

10.  Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics.

Authors:  Ulrike Kusebauch; Eric W Deutsch; David S Campbell; Zhi Sun; Terry Farrah; Robert L Moritz
Journal:  Curr Protoc Bioinformatics       Date:  2014-06-17
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