{"entity": "publication", "iuid": "5da8c8b6ed79477ba89c81ae7013ac7f", "timestamp": "2026-08-09T14:12:15.591Z", "links": {"self": {"href": "https://publications.scilifelab.se/publication/5da8c8b6ed79477ba89c81ae7013ac7f.json"}, "display": {"href": "https://publications.scilifelab.se/publication/5da8c8b6ed79477ba89c81ae7013ac7f"}}, "title": "Transcriptomics resources of human tissues and\u00a0organs.", "authors": [{"family": "Uhl\u00e9n", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}, {"family": "Hallstr\u00f6m", "given": "Bj\u00f6rn M", "initials": "BM"}, {"family": "Lindskog", "given": "Cecilia", "initials": "C"}, {"family": "Mardinoglu", "given": "Adil", "initials": "A"}, {"family": "Pont\u00e9n", "given": "Fredrik", "initials": "F"}, {"family": "Nielsen", "given": "Jens", "initials": "J", "orcid": "0000-0002-9955-6003", "researcher": {"href": "https://publications.scilifelab.se/researcher/7a596e289be4438a8a2653b1f25fea8b.json"}}], "type": "journal article", "published": "2016-04-04", "journal": {"volume": "12", "issn": "1744-4292", "issue": "4", "pages": "862", "title": "Mol. Syst. Biol.", "issn-l": "1744-4292"}, "abstract": "Quantifying the differential expression of genes in various human organs, tissues, and cell types is vital to understand human physiology and disease. Recently, several large-scale transcriptomics studies have analyzed the expression of protein-coding genes across tissues. These datasets provide a framework for defining the molecular constituents of the human body as well as for generating comprehensive lists of proteins expressed across tissues or in a tissue-restricted manner. Here, we review publicly available human transcriptome resources and discuss body-wide data from independent genome-wide transcriptome analyses of different tissues. Gene expression measurements from these independent datasets, generated using samples from fresh frozen surgical specimens and postmortem tissues, are consistent. Overall, the different genome-wide analyses support a distribution in which many proteins are found in all tissues and relatively few in a tissue-restricted manner. Moreover, we discuss the applications of publicly available omics data for building genome-scale metabolic models, used for analyzing cell and tissue functions both in physiological and in disease contexts.", "doi": "10.15252/msb.20155865", "pmid": "27044256", "labels": {"Systems Biology": "Technology development", "National Genomics Infrastructure": "Service", "Tissue Profiling": "Collaborative", "NGI Stockholm (Genomics Production)": "Service", "Bioinformatics Support, Infrastructure and Training": "Technology development", "Bioinformatics (NBIS)": "Technology development"}, "xrefs": [{"db": "pmc", "key": "PMC4848759"}], "notes": [], "created": "2017-05-03T12:58:59.635Z", "modified": "2021-07-08T13:44:33.307Z"}