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  5. Tissue-based map of the human proteome

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Article
English
2015

Tissue-based map of the human proteome

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English
2015
Science
Vol 347 (6220)
DOI: 10.1126/science.1260419

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Gunnar Von Heijne
Gunnar Von Heijne

Stockholm University

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Mathias Uhlén
Linn Fagerberg
Björn M. Hallström
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Abstract

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.

How to cite this publication

Mathias Uhlén, Linn Fagerberg, Björn M. Hallström, Cecilia Lindskog, Per Oksvold, Adil Mardinoğlu, Åsa Sivertsson, Caroline Kampf, Evelina Sjöstedt, Anna Asplund, Ing‐Marie Olsson, Karolina Edlund, Emma Lundberg, Sanjay Navani, Cristina Al‐Khalili Szigyarto, Jacob Odeberg, Dijana Djureinovic, Jenny Ottosson Takanen, Sophia Hober, Tove Alm, Per-Henrik Edqvist, Holger Berling, Hanna Tegel, Jan Mulder, Johan Rockberg, Peter Nilsson, Jochen M. Schwenk, Marica Hamsten, Kalle von Feilitzen, Mattias Forsberg, Lukas Persson, Fredric Johansson, Martin Zwahlen, Gunnar Von Heijne, Jens Nielsen, Fredrik Pontén (2015). Tissue-based map of the human proteome. Science, 347(6220), DOI: 10.1126/science.1260419.

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Publication Details

Type

Article

Year

2015

Authors

36

Datasets

0

Total Files

0

Language

English

Journal

Science

DOI

10.1126/science.1260419

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