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A draft map of the human proteome.

Authors :
Kim MS
Pinto SM
Getnet D
Nirujogi RS
Manda SS
Chaerkady R
Madugundu AK
Kelkar DS
Isserlin R
Jain S
Thomas JK
Muthusamy B
Leal-Rojas P
Kumar P
Sahasrabuddhe NA
Balakrishnan L
Advani J
George B
Renuse S
Selvan LD
Patil AH
Nanjappa V
Radhakrishnan A
Prasad S
Subbannayya T
Raju R
Kumar M
Sreenivasamurthy SK
Marimuthu A
Sathe GJ
Chavan S
Datta KK
Subbannayya Y
Sahu A
Yelamanchi SD
Jayaram S
Rajagopalan P
Sharma J
Murthy KR
Syed N
Goel R
Khan AA
Ahmad S
Dey G
Mudgal K
Chatterjee A
Huang TC
Zhong J
Wu X
Shaw PG
Freed D
Zahari MS
Mukherjee KK
Shankar S
Mahadevan A
Lam H
Mitchell CJ
Shankar SK
Satishchandra P
Schroeder JT
Sirdeshmukh R
Maitra A
Leach SD
Drake CG
Halushka MK
Prasad TS
Hruban RH
Kerr CL
Bader GD
Iacobuzio-Donahue CA
Gowda H
Pandey A
Source :
Nature [Nature] 2014 May 29; Vol. 509 (7502), pp. 575-81.
Publication Year :
2014

Abstract

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease.

Details

Language :
English
ISSN :
1476-4687
Volume :
509
Issue :
7502
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
24870542
Full Text :
https://doi.org/10.1038/nature13302