Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics
Journal article, 2014
Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody- based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to 80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body. © 2014 by The American Society for Biochemistry and Molecular Biology, Inc.
Author
L. Fagerberg
Royal Institute of Technology (KTH)
B. M. Hallstrom
Royal Institute of Technology (KTH)
P. Oksvold
Royal Institute of Technology (KTH)
C. Kampf
Uppsala University
D. Djureinovic
Uppsala University
J. Odeberg
Royal Institute of Technology (KTH)
Masato Habuka
Royal Institute of Technology (KTH)
Simin Tahmasebpoor
Uppsala University
A. Danielsson
Uppsala University
K. Edlund
Uppsala University
A. Asplund
Uppsala University
E. Sjostedt
Uppsala University
E. Lundberg
Uppsala University
C.A.K. Szigyarto
Royal Institute of Technology (KTH)
Marie Skogs
Royal Institute of Technology (KTH)
Jenny Ottosson Takanen
H. Berling
H. Tegel
Royal Institute of Technology (KTH)
J. Mulder
Lab Surgpath
P. Nilsson
Royal Institute of Technology (KTH)
J. M. Schwenk
Royal Institute of Technology (KTH)
C. Lindskog
Uppsala University
Frida Danielsson
Royal Institute of Technology (KTH)
Adil Mardinoglu
Chalmers, Chemical and Biological Engineering, Life Sciences
Å. Sivertsson
Royal Institute of Technology (KTH)
K. von Feilitzen
Royal Institute of Technology (KTH)
M. Forsberg
Royal Institute of Technology (KTH)
M. Zwahlen
Royal Institute of Technology (KTH)
I. Olsson
Uppsala University
S. Navani
Lab Surgpath
M. Huss
Royal Institute of Technology (KTH)
Jens B Nielsen
Chalmers, Chemical and Biological Engineering, Life Sciences
Royal Institute of Technology (KTH)
F. Ponten
Uppsala University
Mathias Uhlen
Royal Institute of Technology (KTH)
Karolinska Institutet
Molecular and Cellular Proteomics
1535-9476 (ISSN) 1535-9484 (eISSN)
Vol. 13 2 397-406Areas of Advance
Life Science Engineering (2010-2018)
Subject Categories
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Bioinformatics and Systems Biology
Genetics
DOI
10.1074/mcp.M113.035600
PubMed
24309898