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.
Description
A genome-wide transcriptomic analysis of protein-coding genes in human blood cells | Science
%0 Journal Article
%1 noauthororeditor
%A Uhlen, Mathias
%A Karlsson, Max J
%A Zhong, Wen
%A Tebani, Abdellah
%A Pou, Christian
%A Mikes, Jaromir
%A Lakshmikanth, Tadepally
%A Forsström, Björn
%A Edfors, Fredrik
%A Odeberg, Jacob
%A Mardinoglu, Adil
%A Zhang, Cheng
%A von Feilitzen, Kalle
%A Mulder, Jan
%A Sjöstedt, Evelina
%A Hober, Andreas
%A Oksvold, Per
%A Zwahlen, Martin
%A Ponten, Fredrik
%A Lindskog, Cecilia
%A Sivertsson, Åsa
%A Fagerberg, Linn
%A Brodin, Petter
%D 2019
%J Science
%K Atlas Protein
%N 6472
%R 10.1126/science.aax9198
%T A genome-wide transcriptomic analysis of protein-coding genes in human blood cells.
%V 366
%X 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.
@article{noauthororeditor,
abstract = {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.},
added-at = {2020-04-02T19:02:20.000+0200},
author = {Uhlen, Mathias and Karlsson, Max J and Zhong, Wen and Tebani, Abdellah and Pou, Christian and Mikes, Jaromir and Lakshmikanth, Tadepally and Forsström, Björn and Edfors, Fredrik and Odeberg, Jacob and Mardinoglu, Adil and Zhang, Cheng and von Feilitzen, Kalle and Mulder, Jan and Sjöstedt, Evelina and Hober, Andreas and Oksvold, Per and Zwahlen, Martin and Ponten, Fredrik and Lindskog, Cecilia and Sivertsson, Åsa and Fagerberg, Linn and Brodin, Petter},
biburl = {https://www.bibsonomy.org/bibtex/2be1f9b52915370ed2492051583288020/lkanth},
description = {A genome-wide transcriptomic analysis of protein-coding genes in human blood cells | Science},
doi = {10.1126/science.aax9198},
interhash = {184138021d72e78e3c17bc21c2848681},
intrahash = {be1f9b52915370ed2492051583288020},
issn = {0036-8075},
journal = {Science},
keywords = {Atlas Protein},
number = 6472,
timestamp = {2020-04-02T19:02:20.000+0200},
title = {A genome-wide transcriptomic analysis of protein-coding genes in human blood cells.},
volume = 366,
year = 2019
}