Proteomics. Tissue-based map of the human proteome
- PMID: 25613900
- DOI: 10.1126/science.1260419
Proteomics. Tissue-based map of the human proteome
Abstract
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.
Copyright © 2015, American Association for the Advancement of Science.
Comment in
-
Gene expression: spatial characterization of proteomes.Nat Rev Genet. 2015 Mar;16(3):129. doi: 10.1038/nrg3910. Epub 2015 Feb 10. Nat Rev Genet. 2015. PMID: 25668785 No abstract available.
Similar articles
-
PCHM: A bioinformatic resource for high-throughput human mitochondrial proteome searching and comparison.Comput Biol Med. 2009 Aug;39(8):689-96. doi: 10.1016/j.compbiomed.2009.05.006. Epub 2009 Jun 21. Comput Biol Med. 2009. PMID: 19541297
-
Mitochondrial proteome heterogeneity between tissues from the vegetative and reproductive stages of Arabidopsis thaliana development.J Proteome Res. 2012 Jun 1;11(6):3326-43. doi: 10.1021/pr3001157. Epub 2012 May 14. J Proteome Res. 2012. PMID: 22540835
-
The human liver-specific proteome defined by transcriptomics and antibody-based profiling.FASEB J. 2014 Jul;28(7):2901-14. doi: 10.1096/fj.14-250555. Epub 2014 Mar 19. FASEB J. 2014. PMID: 24648543
-
Mitochondrial proteome: toward the detection and profiling of disease associated alterations.Methods Mol Biol. 2012;823:265-77. doi: 10.1007/978-1-60327-216-2_17. Methods Mol Biol. 2012. PMID: 22081351 Review.
-
Recent advances in proteomics: towards the human proteome.Biomed Chromatogr. 2014 Jun;28(6):848-57. doi: 10.1002/bmc.3157. Biomed Chromatogr. 2014. PMID: 24861753 Review.
Cited by
-
Machine Learning Prediction of On/Off Target-driven Clinical Adverse Events.Pharm Res. 2024 Aug 2. doi: 10.1007/s11095-024-03742-x. Online ahead of print. Pharm Res. 2024. PMID: 39095534
-
Guidelines for mitochondrial RNA analysis.Mol Ther Nucleic Acids. 2024 Jun 26;35(3):102262. doi: 10.1016/j.omtn.2024.102262. eCollection 2024 Sep 10. Mol Ther Nucleic Acids. 2024. PMID: 39091381 Free PMC article. Review.
-
Systemic mechanisms of necrotic cell debris clearance.Cell Death Dis. 2024 Aug 1;15(8):557. doi: 10.1038/s41419-024-06947-5. Cell Death Dis. 2024. PMID: 39090111 Free PMC article. Review.
-
Testing the Significance of Ranked Gene Sets in Genome-wide Transcriptome Profiling Data Using Weighted Rank Correlation Statistics.Curr Genomics. 2024 May 31;25(3):202-211. doi: 10.2174/0113892029280470240306044159. Epub 2024 Mar 11. Curr Genomics. 2024. PMID: 39086999
-
The SARIFA biomarker in the context of basic research of lipid-driven cancers.NPJ Precis Oncol. 2024 Jul 31;8(1):165. doi: 10.1038/s41698-024-00662-2. NPJ Precis Oncol. 2024. PMID: 39085485 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases