A genome-wide transcriptomic analysis of protein-coding genes in human blood cells

被引：336

作者：

Uhlen, Mathias ^{[1
,2
,3
]}

Karlsson, Max J. ^{[1
]}

Zhong, Wen ^{[1
]}

Tebani, Abdellah ^{[1
]}

Pou, Christian ^{[4
]}

Mikes, Jaromir ^{[4
]}

Lakshmikanth, Tadepally ^{[4
]}

Forsstrom, Bjorn ^{[1
]}

Edfors, Fredrik ^{[1
]}

Odeberg, Jacob ^{[1
,5
]}

Mardinoglu, Adil ^{[1
,6
]}

Zhang, Cheng ^{[1
]}

von Feilitzen, Kalle ^{[1
]}

Mulder, Jan ^{[2
]}

Sjostedt, Evelina ^{[2
]}

Hober, Andreas ^{[1
]}

Oksvold, Per ^{[1
]}

Zwahlen, Martin ^{[1
]}

Ponten, Fredrik ^{[7
]}

Lindskog, Cecilia ^{[7
]}

Sivertsson, Asa ^{[1
]}

Fagerberg, Linn ^{[1
]}

Brodin, Petter ^{[4
,8
]}

机构：

[1] KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden

[2] Karolinska Inst, Dept Neurosci, Stockholm, Sweden

[3] Tech Univ Denmark, Novo Nordisk Fdn Ctr Biosustainabil, Lyngby, Denmark

[4] Karolinska Inst, Dept Womens & Childrens Hlth, Sci Life Lab, Stockholm, Sweden

[5] Karolinska Univ Hosp, Coagulat Unit, Dept Hematol, Stockholm, Sweden

[6] Kings Coll London, Ctr Host Microbiome Interact, Fac Dent Oral & Craniofacial Sci, London, England

[7] Uppsala Univ, Dept Immunol Genet & Pathol, Rudbeck Lab, Uppsala, Sweden

[8] Karolinska Univ Hosp, Unit Pediat Rheumatol, Stockholm, Sweden

来源：

SCIENCE | 2019年 / 366卷 / 6472期

基金：

瑞典研究理事会;

关键词：

RNA-SEQ; IMMUNE-SYSTEM; EXPRESSION; VISUALIZATION; ASSOCIATION;

D O I：

10.1126/science.aax9198

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：1471 / +

页数：72

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