상위피인용논문
Abstract
Pierre Legrain‡,q,**, Ruedi Aebersold§, Alexander Archakov¶, Amos Bairoch∥, Kumar Bala**, Laura Beretta‡‡, John Bergeron§§, Christoph H. Borchers¶¶, Garry L. Corthals∥∥, Catherine E. Costelloa, Eric W. Deutschb, Bruno Domonc, William Hancockd, Fuchu Hee, Denis Hochstrasserf, Gyorgy Marko-Vargag, Ghasem Hosseini Salekdehh, Salvatore Sechii, Michael Snyderj, Sudhir Srivastavak, Mathias Uhlenl, Cathy H. Wum, Tadashi Yamamoton, Young-Ki Paiko,q** and Gilbert S. Omennp,q**
From the ‡CEA, Life Sciences Division, Fontenay-aux-Roses, France;
§Department of Biology, Institute of Molecular Systems Biology, ETH, Zurich, and Faculty of Science, University of Zurich, Switzerland;
¶Institute of Biomedical Chemistry of the Russian Academy of Medical Sciences, Moscow, Russia;
∥Swiss Institute of Bioinformatics (SIB) and University of Geneva, Geneva, Switzerland;
**Biotechnology at Bridge4Bio, San Francisco, CA, USA;
‡‡Fred Hutchinson Cancer Research Center, Seattle, WA, USA;
§§McGill University, Montreal, Canada;
¶¶Proteomics Centre, University of Victoria, Genome British Columbia, Canada;
∥∥Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland;
aBoston University, HUPO President (2011-2012), Boston, MA, USA;
bInstitute for Systems Biology, Seattle, WA, USA;
cLuxembourg University, Luxembourg;
dNortheastern University, Boston, MA, USA;
eBeijing Proteome Research Center, Beijing, China;
fGeneva University, Geneva, Switzerland;
gLund University, Lund, Sweden;
hRoyan Institute, Tehran, Iran;
iNational Institute of Diabetes and Digestive and Kidney Diseases, NIH, Bethesda, MD, USA;
jStanford University, Palo Alto, CA, USA;
kNIH/NCI, Bethesda, MD, USA;
lRoyal Institute of Technology, Stockholm, Sweden;
mProtein Information Resource (PIR) and University of Delaware, Newark, DE, USA;
nNiigata University, Niigata, Japan;
oqYonsei University, HUPO President (2009-2010), Seoul, Korea;
pqCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
** To whom correspondence should be addressed: Pierre Legrain, Kumar Bala, Gilbert S. Omenn
Abstract
After the successful completion of the Human Genome Project, the Human Proteome Organization has recently officially launched a global Human Proteome Project (HPP), which is designed to map the entire human protein set. Given the lack of protein-level evidence for about 30% of the estimated 20,300 protein-coding genes, a systematic global effort will be 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 research groups will use the three working pillars for HPP: mass spectrometry, antibody capture, and bioinformatics tools and knowledge bases. The HPP participants will take advantage of the output and cross-analyses from the ongoing Human Proteome Organization initiatives and a chromosome-centric protein mapping strategy, termed C-HPP, with which many national teams are currently engaged. In addition, numerous biologically driven and disease-oriented 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. The Human Proteome Organization 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.
Footnotes
q The HPP working group was formed by the HUPO Council at the end of year 2009 and is led by Pierre Legrain, Gil Omenn, and Young-Ki Paik.
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