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
Danmarks Tekniske Universitet
The Royal Institute of Technology (KTH)
L. Fagerberg
The Royal Institute of Technology (KTH)
B.M. Hallström
The Royal Institute of Technology (KTH)
C. Lindskog
Uppsala Universitet
P. Oksvold
The Royal Institute of Technology (KTH)
Adil Mardinoglu
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
Å. Sivertsson
The Royal Institute of Technology (KTH)
C. Kampf
Uppsala Universitet
E. Sjostedt
Uppsala Universitet
The Royal Institute of Technology (KTH)
A. Asplund
Uppsala Universitet
I. Olsson
Uppsala Universitet
K. Edlund
Leibniz Research Centre for Working Environment and Human Factors at the University of Dortmund
E. Lundberg
The Royal Institute of Technology (KTH)
S. Navani
Lab Surgpath
C.A.K. Szigyarto
The Royal Institute of Technology (KTH)
J. Odeberg
The Royal Institute of Technology (KTH)
D. Djureinovic
Uppsala Universitet
J.O. Takanen
The Royal Institute of Technology (KTH)
S. Hober
The Royal Institute of Technology (KTH)
T. Alm
The Royal Institute of Technology (KTH)
P. H. Edqvist
Uppsala Universitet
H. Berling
The Royal Institute of Technology (KTH)
H. Tegel
The Royal Institute of Technology (KTH)
J. Mulder
Karolinska Institutet
J. Rockberg
The Royal Institute of Technology (KTH)
P. Nilsson
The Royal Institute of Technology (KTH)
J. M. Schwenk
The Royal Institute of Technology (KTH)
M. Hamsten
The Royal Institute of Technology (KTH)
K. von Feilitzen
The Royal Institute of Technology (KTH)
M. Forsberg
The Royal Institute of Technology (KTH)
L. Persson
The Royal Institute of Technology (KTH)
F. Johansson
The Royal Institute of Technology (KTH)
M. Zwahlen
The Royal Institute of Technology (KTH)
G. von Heijne
Stockholms universitet
Jens B Nielsen
Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology
F. Ponten
Uppsala Universitet
Science
0036-8075 (ISSN)
Vol. 347 6220 394-Subject Categories (SSIF 2011)
Biological Sciences
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.1126/science.1260419