Science · 2015 · 15.9K citations · 53 references
Life SciencesBioinformaticsMolecular BiologyMulti-omics IntegrationProteomicsTranscriptomicsCancer ProteomicsFunctional ProteomicsMulti-omics Data FusionOmics IntegrationProteomics Data IntegrationSecretome AnalysisIntegrated Multi-omics AnalysisMembrane Proteome MappingMicroarray AnalysisProteome BioinformaticsQuantitative TranscriptomicsSpatial ProteomicsTissue Microarray AnalysisTissue Proteomics
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.
53
An integrated encyclopedia of DNA elements in the human genome
Tissue-based map of the human proteome
Mathias Uhlén, Linn Fagerberg, Björn M. Hallström et al. · Science · 2015 · 15.9K citations · Full text
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell, Lior Pachter, Steven L. Salzberg · Bioinformatics · 2009 · 12.1K citations · Full text
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Glynn Dennis, Brad T. Sherman, Douglas A Hosack et al. · Genome biology · 2003 · 9.5K citations · Full text