Literature DB >> 21531903

The human proteome project: Current state and future direction.

Pierre Legrain1, Ruedi Aebersold, Alexander Archakov, Amos Bairoch, Kumar Bala, Laura Beretta, John Bergeron, Christoph Borchers, Garry L Corthals, Catherine E Costello, Eric W Deutsch, Bruno Domon, William Hancock, Fuchu He, Denis Hochstrasser, Gyorgy Marko-Varga, Ghasem Hosseini Salekdeh, Salvatore Sechi, Michael Snyder, Sudhir Srivastava, Mathias Uhlen, Cathy H Hu, Tadashi Yamamoto, Young-Ki Paik, Gilbert S Omenn.   

Abstract

After successful completion of the Human Genome Project (HGP), HUPO has recently officially launched a global Human Proteome Project (HPP) which is designed to map the entire human protein set. Given the presence of about 30% undisclosed proteins out of 20,300 protein gene products, a systematic global effort is necessary to achieve this goal with respect to protein abundance, distribution, subcellular localization, interaction with other biomolecules, and functions at specific time points. As a general experimental strategy, HPP groups employ the three working pillars for HPP: mass spectrometry, antibody capture, and bioinformatics tools and knowledge base. The HPP participants will take advantage of the output and cross-analyses from the ongoing HUPO initiatives and a chromosome-based protein mapping strategy, termed C-HPP with many national teams currently engaged. In addition, numerous biologically-driven projects will be stimulated and facilitated by the HPP. Timely planning with proper governance of HPP will deliver a protein parts list, reagents and tools for protein studies and analyses, and a stronger basis for personalized medicine. HUPO urges each national research funding agency and the scientific community at large to identify their preferred pathways to participate in aspects of this highly promising project in a HPP consortium of funders and investigators.

Entities:  

Year:  2011        PMID: 21531903     DOI: 10.1074/mcp.O111.009993

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  12 in total

1.  Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles).

Authors:  Christopher R Kinsinger; James Apffel; Mark Baker; Xiaopeng Bian; Christoph H Borchers; Ralph Bradshaw; Mi-Youn Brusniak; Daniel W Chan; Eric W Deutsch; Bruno Domon; Jeff Gorman; Rudolf Grimm; William Hancock; Henning Hermjakob; David Horn; Christie Hunter; Patrik Kolar; Hans-Joachim Kraus; Hanno Langen; Rune Linding; Robert L Moritz; Gilbert S Omenn; Ron Orlando; Akhilesh Pandey; Peipei Ping; Amir Rahbar; Robert Rivers; Sean L Seymour; Richard J Simpson; Douglas Slotta; Richard D Smith; Stephen E Stein; David L Tabb; Danilo Tagle; John R Yates; Henry Rodriguez
Journal:  Mol Cell Proteomics       Date:  2011-11-03       Impact factor: 5.911

2.  Personalized Medicine in the Age of Pharmacoproteomics: A Close up on India and Need for Social Science Engagement for Responsible Innovation in Post-Proteomic Biology.

Authors:  Panga Jaipal Reddy; Rekha Jain; Young-Ki Paik; Robin Downey; Adam S Ptolemy; Vural Ozdemir; Sanjeeva Srivastava
Journal:  Curr Pharmacogenomics Person Med       Date:  2011-03-01

Review 3.  Design and operation of an automated high-throughput monoclonal antibody facility.

Authors:  Daniel Layton; Caroline Laverty; Edouard C Nice
Journal:  Biophys Rev       Date:  2012-10-23

4.  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

5.  Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam Principles).

Authors:  Christopher R Kinsinger; James Apffel; Mark Baker; Xiaopeng Bian; Christoph H Borchers; Ralph Bradshaw; Mi-Youn Brusniak; Daniel W Chan; Eric W Deutsch; Bruno Domon; Jeff Gorman; Rudolf Grimm; William Hancock; Henning Hermjakob; David Horn; Christie Hunter; Patrik Kolar; Hans-Joachim Kraus; Hanno Langen; Rune Linding; Robert L Moritz; Gilbert S Omenn; Ron Orlando; Akhilesh Pandey; Peipei Ping; Amir Rahbar; Robert Rivers; Sean L Seymour; Richard J Simpson; Douglas Slotta; Richard D Smith; Stephen E Stein; David L Tabb; Danilo Tagle; John R Yates; Henry Rodriguez
Journal:  J Proteome Res       Date:  2011-12-08       Impact factor: 4.466

6.  Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0.

Authors:  Eric W Deutsch; Lydie Lane; Christopher M Overall; Nuno Bandeira; Mark S Baker; Charles Pineau; Robert L Moritz; Fernando Corrales; Sandra Orchard; Jennifer E Van Eyk; Young-Ki Paik; Susan T Weintraub; Yves Vandenbrouck; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2019-10-21       Impact factor: 4.466

Review 7.  A systems approach to infectious disease.

Authors:  Manon Eckhardt; Judd F Hultquist; Robyn M Kaake; Ruth Hüttenhain; Nevan J Krogan
Journal:  Nat Rev Genet       Date:  2020-02-14       Impact factor: 53.242

8.  Ten years of standardizing proteomic data: a report on the HUPO-PSI Spring Workshop: April 12-14th, 2012, San Diego, USA.

Authors:  Sandra Orchard; Pierre-Alain Binz; Christoph Borchers; Michael K Gilson; Andrew R Jones; George Nicola; Juan Antonio Vizcaino; Eric W Deutsch; Henning Hermjakob
Journal:  Proteomics       Date:  2012-09       Impact factor: 3.984

9.  Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence.

Authors:  Alba Garin-Muga; Leticia Odriozola; Ana Martínez-Val; Noemí Del Toro; Rocío Martínez; Manuela Molina; Laura Cantero; Rocío Rivera; Nicolás Garrido; Francisco Dominguez; Manuel M Sanchez Del Pino; Juan Antonio Vizcaíno; Fernando J Corrales; Victor Segura
Journal:  J Proteome Res       Date:  2016-09-15       Impact factor: 4.466

Review 10.  Mass spectrometry-based N-glycoproteomics for cancer biomarker discovery.

Authors:  Ying Zhang; Jing Jiao; Pengyuan Yang; Haojie Lu
Journal:  Clin Proteomics       Date:  2014-05-05       Impact factor: 3.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.