Tissue-based map of the human proteome

被引：10819

作者：

Uhlen, Mathias ^{[1
,2
,3
]}

Fagerberg, Linn ^{[1
]}

Hallstroem, Bjoern M. ^{[1
,2
]}

Lindskog, Cecilia ^{[4
]}

Oksvold, Per ^{[1
]}

Mardinoglu, Adil ^{[5
]}

Sivertsson, Asa ^{[1
]}

Kampf, Caroline ^{[4
]}

Sjoestedt, Evelina ^{[1
,4
]}

Asplund, Anna ^{[4
]}

Olsson, IngMarie ^{[4
]}

Edlund, Karolina ^{[6
]}

Lundberg, Emma ^{[1
]}

Navani, Sanjay ^{[7
]}

Szigyarto, Cristina Al-Khalili ^{[2
]}

Odeberg, Jacob ^{[1
]}

Djureinovic, Dijana ^{[4
]}

Takanen, Jenny Ottosson ^{[2
]}

Hober, Sophia ^{[2
]}

Alm, Tove ^{[1
]}

Edqvist, Per-Henrik ^{[4
]}

Berling, Holger ^{[2
]}

Tegel, Hanna ^{[2
]}

Mulder, Jan ^{[8
]}

Rockberg, Johan ^{[2
]}

Nilsson, Peter ^{[1
]}

Schwenk, Jochen M. ^{[1
]}

Hamsten, Marica ^{[2
]}

von Feilitzen, Kalle ^{[1
]}

Forsberg, Mattias ^{[1
]}

Persson, Lukas ^{[1
]}

Johansson, Fredric ^{[1
]}

Zwahlen, Martin ^{[1
]}

von Heijne, Gunnar ^{[9
]}

Nielsen, Jens ^{[3
,5
]}

Ponten, Fredrik ^{[4
]}

机构：

[1] KTH Royal Inst Technol, Sci Life Lab, SE-17121 Stockholm, Sweden

[2] KTH Royal Inst Technol, Dept Prote, SE-10691 Stockholm, Sweden

[3] Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, DK-2970 Horsholm, Denmark

[4] Uppsala Univ, Sci Life Lab, Dept Immunol Genet & Pathol, SE-75185 Uppsala, Sweden

[5] Chalmers Univ Technol, Dept Chem & Biol Engn, SE-41296 Gothenburg, Sweden

[6] Dortmund TU, Leibniz Res Ctr Working Environm & Human Factors, D-44139 Dortmund, Germany

[7] Lab Surgpath, Bombay, Maharashtra, India

[8] Karolinska Inst, Dept Neurosci, Sci Life Lab, SE-17177 Stockholm, Sweden

[9] Stockholm Univ, Dept Biochem & Biophys, Ctr Biomembrane Res, S-10691 Stockholm, Sweden

来源：

SCIENCE | 2015年 / 347卷 / 6220期

关键词：

QUANTITATIVE PROTEOMICS; GENE-EXPRESSION; SIGNAL PEPTIDES; CELL-LINES; GENOME; TRANSCRIPTOMICS; IDENTIFICATION; KNOWLEDGE; ELEMENTS; DRAFT;

D O I：

10.1126/science.1260419

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：

Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.

引用

页数：10

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