Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics.

Fagerberg L, Hallström BM, Oksvold P, Kampf C, Djureinovic D, Odeberg J, Habuka M, Tahmasebpoor S, Danielsson A, Edlund K, Asplund A, Sjöstedt E, Lundberg E, Szigyarto CA, Skogs M, Takanen JO, Berling H, Tegel H, Mulder J, Nilsson P, Schwenk JM, Lindskog C, Danielsson F, Mardinoglu A, Sivertsson A, von Feilitzen K, Forsberg M, Zwahlen M, Olsson I, Navani S, Huss M, Nielsen J, Ponten F, Uhlén M

Mol. Cell Proteomics 13 (2) 397-406 [2014-02-00; online 2013-12-07]

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.

Autoimmunity Profiling [Technology development]

Cell Profiling

NGI Stockholm (Genomics Applications)

NGI Stockholm (Genomics Production)

Plasma Profiling [Technology development]

Tissue Profiling

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PubMed 24309898

DOI 10.1074/mcp.M113.035600

Crossref 10.1074/mcp.M113.035600

M113.035600

pmc PMC3916642