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.
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Author Contributions. MU and FP conceived and designed the study. MU, LF and BMH wrote the paper. LF and BMH performed the bioinformatics analysis. FP performed the antibody-based profiling comparison. AD, KE, ST, MS, LM, FD and AA prepared the RNA samples. LF, MH, FP and BMH and PO performed the RNA-seq data analysis. FP, ES, CK and AA performed the tissue profiling. MS, PO, EL, FD, FP, ÅS, MZ, KJ, MH and JN contributed analysis, text and comments to the paper.
Author Information. The authors declare that they have no conflict of interest. Correspondence and requests for materials should be addressed to MU ([email protected]).
This work was supported by the Knut and Alice Wallenberg Foundation and PROSPECTS, a 7th Framework grant by the European Directorate (grant agreement HEALTH-F4-2008-201648/PROSPECTS).
