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Transcriptomics resources of human tissues and organs
KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi. KTH, Centra, Science for Life Laboratory, SciLifeLab. Technical University of Denmark, Denmark.ORCID-id: 0000-0002-4858-8056
KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi. KTH, Centra, Science for Life Laboratory, SciLifeLab.
KTH, Skolan för bioteknologi (BIO), Proteomik och nanobioteknologi. KTH, Centra, Science for Life Laboratory, SciLifeLab. Chalmers University of Technology, Sweden.
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2016 (Engelska)Ingår i: Molecular Systems Biology, ISSN 1744-4292, E-ISSN 1744-4292, Vol. 12, nr 4, artikel-id 862Artikel, forskningsöversikt (Refereegranskat) Published
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Text
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.

Ort, förlag, år, upplaga, sidor
Blackwell Publishing, 2016. Vol. 12, nr 4, artikel-id 862
Nyckelord [en]
genome-scale metabolic models, proteomics, transcriptomics
Nationell ämneskategori
Biokemi och molekylärbiologi
Identifikatorer
URN: urn:nbn:se:kth:diva-187833DOI: 10.15252/msb.20155865ISI: 000374497500001PubMedID: 27044256Scopus ID: 2-s2.0-84964506792OAI: oai:DiVA.org:kth-187833DiVA, id: diva2:931939
Forskningsfinansiär
Knut och Alice Wallenbergs StiftelseScience for Life Laboratory - a national resource center for high-throughput molecular bioscience
Anmärkning

QC 20160531

Tillgänglig från: 2016-05-31 Skapad: 2016-05-30 Senast uppdaterad: 2020-01-10Bibliografiskt granskad

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Uhlén, Mathias

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Uhlén, MathiasHallström, Björn M.Mardinoglu, AdilNielsen, Jens
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Proteomik och nanobioteknologiScience for Life Laboratory, SciLifeLabGenteknologi
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Molecular Systems Biology
Biokemi och molekylärbiologi

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