A genome-wide transcriptomic analysis of protein-coding genes in human blood cellsKarolinska Inst, Dept Womens & Childrens Hlth, Sci Life Lab, Stockholm, Sweden.
Karolinska Inst, Dept Womens & Childrens Hlth, Sci Life Lab, Stockholm, Sweden.
Karolinska Inst, Dept Womens & Childrens Hlth, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden;Karolinska Univ Hosp, Coagulat Unit, Dept Hematol, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden;Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London, England.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
Karolinska Inst, Dept Neurosci, Stockholm, Sweden.
Karolinska Inst, Dept Neurosci, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
Karolinska Inst, Dept Womens & Childrens Hlth, Sci Life Lab, Stockholm, Sweden;Karolinska Univ Hosp, Unit Pediat Rheumatol, Stockholm, Sweden.
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2019 (English)In: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 366, no 6472, article id eaax9198Article in journal (Refereed) Published
Abstract [en]
Blood is the predominant source for molecular analyses in humans, both in clinical and research settings. It is the target for many therapeutic strategies, emphasizing the need for comprehensive molecular maps of the cells constituting human blood. In this study, we performed a genome-wide transcriptomic analysis of protein-coding genes in sorted blood immune cell populations to characterize the expression levels of each individual gene across the blood cell types. All data are presented in an interactive, open-access Blood Atlas as part of the Human Protein Atlas and are integrated with expression profiles across all major tissues to provide spatial classification of all protein-coding genes. This allows for a genome-wide exploration of the expression profiles across human immune cell populations and all major human tissues and organs.
Place, publisher, year, edition, pages
American Association for the Advancement of Science , 2019. Vol. 366, no 6472, article id eaax9198
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:liu:diva-189626DOI: 10.1126/science.aax9198ISI: 000503861000045PubMedID: 31857451OAI: oai:DiVA.org:liu-189626DiVA, id: diva2:1707169
Funder
Knut and Alice Wallenberg FoundationKnut and Alice Wallenberg FoundationSwedish Research CouncilSwedish National Infrastructure for Computing (SNIC)Novo NordiskSwedish National Infrastructure for Computing (SNIC)2020-01-232022-10-302022-10-30