Mass-spectrometry-based draft of the human proteome

被引：1402

作者：

Wilhelm, Mathias ^{[1
,2
]}

Schlegl, Judith ^{[2
]}

Hahne, Hannes ^{[1
]}

Gholami, Amin Moghaddas ^{[1
]}

Lieberenz, Marcus ^{[2
]}

Savitski, Mikhail M. ^{[3
]}

Ziegler, Emanuel ^{[2
]}

Butzmann, Lars ^{[2
]}

Gessulat, Siegfried ^{[2
]}

Marx, Harald ^{[1
]}

Mathieson, Toby ^{[3
]}

Lemeer, Simone ^{[1
]}

Schnatbaum, Karsten ^{[4
]}

Reimer, Ulf ^{[4
]}

Wenschuh, Holger ^{[4
]}

Mollenhauer, Martin ^{[5
]}

Slotta-Huspenina, Julia ^{[5
]}

Boese, Joos-Hendrik ^{[2
]}

Bantscheff, Marcus ^{[3
]}

Gerstmair, Anja ^{[2
]}

Faerber, Franz ^{[2
]}

Kuster, Bernhard ^{[1
,6
]}

机构：

[1] Tech Univ Munich, Chair Prote & Bioanalyt, D-85354 Freising Weihenstephan, Germany

[2] SAP AG, D-69190 Walldorf, Germany

[3] Cellzome GmbH, D-69117 Heidelberg, Germany

[4] JPT Peptide Technol GmbH, D-12489 Berlin, Germany

[5] Tech Univ Munich, Inst Pathol, D-81675 Munich, Germany

[6] Ctr Integrated Prot Sci Munich, Munich, Germany

来源：

NATURE | 2014年 / 509卷 / 7502期

关键词：

GROWTH-FACTOR RECEPTOR; NONCODING RNAS; IDENTIFICATION; EXPRESSION; QUANTIFICATION; PROTEINS; DATABASE; REVEALS; PEPTIDE; PROJECT;

D O I：

10.1038/nature13319

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Proteomes are characterized by large protein-abundance differences, cell-type- and time-dependent expression patterns and post-translational modifications, all of which carry biological information that is not accessible by genomics or transcriptomics. Here we present a mass-spectrometry-based draft of the human proteome and a public, high-performance, in-memory database for real-time analysis of terabytes of big data, called ProteomicsDB. The information assembled from human tissues, cell lines and body fluids enabled estimation of the size of the protein-coding genome, and identified organ-specific proteins and a large number of translated lincRNAs (long intergenic non-coding RNAs). Analysis of messenger RNA and protein-expression profiles of human tissues revealed conserved control of protein abundance, and integration of drug-sensitivity data enabled the identification of proteins predicting resistance or sensitivity. The proteome profiles also hold considerable promise for analysing the composition and stoichiometry of protein complexes. ProteomicsDB thus enables navigation of proteomes, provides biological insight and fosters the development of proteomic technology.

引用

页码：582 / +

页数：17

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