Literature DB >> 22443261

Standard guidelines for the chromosome-centric human proteome project.

Young-Ki Paik1, Gilbert S Omenn, Mathias Uhlen, Samir Hanash, György Marko-Varga, Ruedi Aebersold, Amos Bairoch, Tadashi Yamamoto, Pierre Legrain, Hyoung-Joo Lee, Keun Na, Seul-Ki Jeong, Fuchu He, Pierre-Alain Binz, Toshihide Nishimura, Paul Keown, Mark S Baker, Jong Shin Yoo, Jerome Garin, Alexander Archakov, John Bergeron, Ghasem Hosseini Salekdeh, William S Hancock.   

Abstract

The objective of the international Chromosome-Centric Human Proteome Project (C-HPP) is to map and annotate all proteins encoded by the genes on each human chromosome. The C-HPP consortium was established to organize a collaborative network among the research teams responsible for protein mapping of individual chromosomes and to identify compelling biological and genetic mechanisms influencing colocated genes and their protein products. The C-HPP aims to foster the development of proteome analysis and integration of the findings from related molecular -omics technology platforms through collaborations among universities, industries, and private research groups. The C-HPP consortium leadership has elicited broad input for standard guidelines to manage these international efforts more efficiently by mobilizing existing resources and collaborative networks. The C-HPP guidelines set out the collaborative consensus of the C-HPP teams, introduce topics associated with experimental approaches, data production, quality control, treatment, and transparency of data, governance of the consortium, and collaborative benefits. A companion approach for the Biology and Disease-Driven HPP (B/D-HPP) component of the Human Proteome Project is currently being organized, building upon the Human Proteome Organization's organ-based and biofluid-based initiatives (www.hupo.org/research). The common application of these guidelines in the participating laboratories is expected to facilitate the goal of a comprehensive analysis of the human proteome.

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Year:  2012        PMID: 22443261     DOI: 10.1021/pr200824a

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


  24 in total

1.  MOPED enables discoveries through consistently processed proteomics data.

Authors:  Roger Higdon; Elizabeth Stewart; Larissa Stanberry; Winston Haynes; John Choiniere; Elizabeth Montague; Nathaniel Anderson; Gregory Yandl; Imre Janko; William Broomall; Simon Fishilevich; Doron Lancet; Natali Kolker; Eugene Kolker
Journal:  J Proteome Res       Date:  2013-12-18       Impact factor: 4.466

2.  TAILS N-terminomics of human platelets reveals pervasive metalloproteinase-dependent proteolytic processing in storage.

Authors:  Anna Prudova; Katherine Serrano; Ulrich Eckhard; Nikolaus Fortelny; Dana V Devine; Christopher M Overall
Journal:  Blood       Date:  2014-10-20       Impact factor: 22.113

Review 3.  Advances in the Chromosome-Centric Human Proteome Project: looking to the future.

Authors:  Young-Ki Paik; Gilbert S Omenn; William S Hancock; Lydie Lane; Christopher M Overall
Journal:  Expert Rev Proteomics       Date:  2017-11-10       Impact factor: 3.940

4.  Progress in the Chromosome-Centric Human Proteome Project as Highlighted in the Annual Special Issue IV.

Authors:  Young-Ki Paik; Christopher M Overall; Eric W Deutsch; William S Hancock; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2016-11-04       Impact factor: 4.466

5.  Mining Missing Membrane Proteins by High-pH Reverse-Phase StageTip Fractionation and Multiple Reaction Monitoring Mass Spectrometry.

Authors:  Reta Birhanu Kitata; Baby Rorielyn T Dimayacyac-Esleta; Wai-Kok Choong; Chia-Feng Tsai; Tai-Du Lin; Chih-Chiang Tsou; Shao-Hsing Weng; Yi-Ju Chen; Pan-Chyr Yang; Susan D Arco; Alexey I Nesvizhskii; Ting-Yi Sung; Yu-Ju Chen
Journal:  J Proteome Res       Date:  2015-08-06       Impact factor: 4.466

6.  MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome.

Authors:  Bharat Panwar; Rajasree Menon; Ridvan Eksi; Gilbert S Omenn; Yuanfang Guan
Journal:  J Proteome Res       Date:  2015-08-03       Impact factor: 4.466

7.  Chromosome 19 annotations with disease speciation: a first report from the Global Research Consortium.

Authors:  Carol L Nilsson; Frode Berven; Frode Selheim; Huiling Liu; Joseph R Moskal; Roger A Kroes; Erik P Sulman; Charles A Conrad; Frederick F Lang; Per E Andrén; Anna Nilsson; Elisabet Carlsohn; Hans Lilja; Johan Malm; David Fenyö; Devipriya Subramaniyam; Xiangdong Wang; Maria Gonzales-Gonzales; Noelia Dasilva; Paula Diez; Manuel Fuentes; Ákos Végvári; Karin Sjödin; Charlotte Welinder; Thomas Laurell; Thomas E Fehniger; Henrik Lindberg; Melinda Rezeli; Goutham Edula; Sophia Hober; György Marko-Varga
Journal:  J Proteome Res       Date:  2012-12-18       Impact factor: 4.466

8.  Interlaboratory studies and initiatives developing standards for proteomics.

Authors:  Alexander R Ivanov; Christopher M Colangelo; Craig P Dufresne; David B Friedman; Kathryn S Lilley; Karl Mechtler; Brett S Phinney; Kristie L Rose; Paul A Rudnick; Brian C Searle; Scott A Shaffer; Susan T Weintraub
Journal:  Proteomics       Date:  2013-02-19       Impact factor: 3.984

9.  A cell-based approach to the human proteome project.

Authors:  Neil L Kelleher
Journal:  J Am Soc Mass Spectrom       Date:  2012-09-14       Impact factor: 3.109

10.  Translating mRNAs strongly correlate to proteins in a multivariate manner and their translation ratios are phenotype specific.

Authors:  Tong Wang; Yizhi Cui; Jingjie Jin; Jiahui Guo; Guibin Wang; Xingfeng Yin; Qing-Yu He; Gong Zhang
Journal:  Nucleic Acids Res       Date:  2013-03-21       Impact factor: 16.971

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