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) 1095-9203 (eISSN)
Vol. 347 6220 394- 1260419Subject 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