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Transcriptomics resources of human tissues and organs
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.;KTH Royal Inst Technol, Dept Prote, Stockholm, Sweden.;Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, Horsholm, Denmark..
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.;KTH Royal Inst Technol, Dept Prote, Stockholm, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.;Chalmers, Dept Biol & Biol Engn, S-41296 Gothenburg, Sweden..
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2016 (English)In: Molecular Systems Biology, ISSN 1744-4292, E-ISSN 1744-4292, Vol. 12, no 4, 862Article, review/survey (Refereed) Published
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Abstract [en]

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.

Place, publisher, year, edition, pages
2016. Vol. 12, no 4, 862
Keyword [en]
genome-scale metabolic models, proteomics, transcriptomics
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Identifiers
URN: urn:nbn:se:uu:diva-299282DOI: 10.15252/msb.20155865ISI: 000374497500001PubMedID: 27044256OAI: oai:DiVA.org:uu-299282DiVA: diva2:949189
Funder
Knut and Alice Wallenberg Foundation
Available from: 2016-07-18 Created: 2016-07-18 Last updated: 2017-11-28Bibliographically approved

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Lindskog Bergström, CeciliaPontén, Fredrik

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