Tissue-based map of the human proteome
Journal article, 2015

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.

Author

M. Uhlen

Royal Institute of Technology (KTH)

Technical University of Denmark (DTU)

L. Fagerberg

Royal Institute of Technology (KTH)

B.M. Hallström

Royal Institute of Technology (KTH)

C. Lindskog

Uppsala University

P. Oksvold

Royal Institute of Technology (KTH)

Adil Mardinoglu

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Å. Sivertsson

Royal Institute of Technology (KTH)

C. Kampf

Uppsala University

E. Sjostedt

Uppsala University

Royal Institute of Technology (KTH)

A. Asplund

Uppsala University

I. Olsson

Uppsala University

K. Edlund

Leibniz Research Centre for Working Environment and Human Factors at the University of Dortmund

E. Lundberg

Royal Institute of Technology (KTH)

S. Navani

Lab Surgpath

C.A.K. Szigyarto

Royal Institute of Technology (KTH)

J. Odeberg

Royal Institute of Technology (KTH)

D. Djureinovic

Uppsala University

J.O. Takanen

Royal Institute of Technology (KTH)

S. Hober

Royal Institute of Technology (KTH)

T. Alm

Royal Institute of Technology (KTH)

P. H. Edqvist

Uppsala University

H. Berling

Royal Institute of Technology (KTH)

H. Tegel

Royal Institute of Technology (KTH)

J. Mulder

Karolinska Institutet

J. Rockberg

Royal Institute of Technology (KTH)

P. Nilsson

Royal Institute of Technology (KTH)

J. M. Schwenk

Royal Institute of Technology (KTH)

M. Hamsten

Royal Institute of Technology (KTH)

K. von Feilitzen

Royal Institute of Technology (KTH)

M. Forsberg

Royal Institute of Technology (KTH)

L. Persson

Royal Institute of Technology (KTH)

F. Johansson

Royal Institute of Technology (KTH)

M. Zwahlen

Royal Institute of Technology (KTH)

G. von Heijne

Stockholm University

Jens B Nielsen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

F. Ponten

Uppsala University

Science

0036-8075 (ISSN)

Vol. 347 6220 394-

Subject Categories

Biological Sciences

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1126/science.1260419

More information

Latest update

3/1/2018 7