Science 23 January 2015:
Vol. 347 no. 6220
DOI: 10.1126/science.1260419
Vol. 347 no. 6220
DOI: 10.1126/science.1260419
- RESEARCH ARTICLE
Tissue-based map of the human proteome
- Mathias Uhlén1,2,3,*,
- Linn Fagerberg1,
- Björn M. Hallström1,2,
- Cecilia Lindskog4,
- Per Oksvold1,
- Adil Mardinoglu5,
- Åsa Sivertsson1,
- Caroline Kampf4,
- Evelina Sjöstedt1,4,
- Anna Asplund4,
- IngMarie Olsson4,
- Karolina Edlund6,
- Emma Lundberg1,
- Sanjay Navani7,
- Cristina Al-Khalili Szigyarto2,
- Jacob Odeberg1,
- Dijana Djureinovic4,
- Jenny Ottosson Takanen2,
- Sophia Hober2,
- Tove Alm1,
- Per-Henrik Edqvist4,
- Holger Berling2,
- Hanna Tegel2,
- Jan Mulder8,
- Johan Rockberg2,
- Peter Nilsson1,
- Jochen M. Schwenk1,
- Marica Hamsten2,
- Kalle von Feilitzen1,
- Mattias Forsberg1,
- Lukas Persson1,
- Fredric Johansson1,
- Martin Zwahlen1,
- Gunnar von Heijne9,
- Jens Nielsen3,5,
- Fredrik Pontén4
+Author Affiliations
- ↵*Corresponding author. E-mail: mathias.uhlen@scilifelab.se
INTRODUCTION
Resolving the molecular details of proteome variation in the different tissues and organs of the human body would greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on quantitative transcriptomics on a tissue and organ level combined with protein profiling using microarray-based immunohistochemistry to achieve spatial localization of proteins down to the single-cell level. We provide a global analysis of the secreted and membrane proteins, as well as an analysis of the expression profiles for all proteins targeted by pharmaceutical drugs and proteins implicated in cancer.
RATIONALE
We have used an integrative omics approach to study the spatial human proteome. Samples representing all major tissues and organs (n = 44) in the human body have been analyzed based on 24,028 antibodies corresponding to 16,975 protein-encoding genes, complemented with RNA-sequencing data for 32 of the tissues. The antibodies have been used to produce more than 13 million tissue-based immunohistochemistry images, each annotated by pathologists for all sampled tissues. To facilitate integration with other biological resources, all data are available for download and cross-referencing.
RESULTS
We report a genome-wide analysis of the tissue specificity of RNA and protein expression covering more than 90% of the putative protein-coding genes, complemented with analyses of various subproteomes, such as predicted secreted proteins (n = 3171) and membrane-bound proteins (n = 5570). The analysis shows that almost half of the genes are expressed in all analyzed tissues, which suggests that the gene products are needed in all cells to maintain “housekeeping” functions such as cell growth, energy generation, and basic metabolism. Furthermore, there is enrichment in metabolism among these genes, as 60% of all metabolic enzymes are expressed in all analyzed tissues. The largest number of tissue-enriched genes is found in the testis, followed by the brain and the liver. Analysis of the 618 proteins targeted by clinically approved drugs unexpectedly showed that 30% are expressed in all analyzed tissues. An analysis of metabolic activity based on genome-scale metabolic models (GEMS) revealed liver as the most metabolically active tissue, followed by adipose tissue and skeletal muscle.
CONCLUSIONS
A freely available interactive resource is presented as part of the Human Protein Atlas portal (www.proteinatlas.org), offering the possibility to explore the tissue-elevated proteomes in tissues and organs and to analyze tissue profiles for specific protein classes. Comprehensive lists of proteins expressed at elevated levels in the different tissues have been compiled to provide a spatial context with localization of the proteins in the subcompartments of each tissue and organ down to the single-cell level.
- Received for publication 25 August 2014.
- Accepted for publication 5 December 2014.
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