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A transcriptome-based approach to identify functional modules within and across primary human immune cells
Author(s) -
Saraï Mola,
Sylvain Foisy,
Gabrielle Boucher,
François Major,
Claudine Beauchamp,
Mohamad Karaky,
Philippe Goyette,
Sylvie Lesage,
John D. Rioux
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0233543
Subject(s) - transcriptome , biology , immune system , computational biology , gene , gene expression profiling , function (biology) , gene expression , genome , lineage (genetic) , transcription factor , cell type , genetics , cell
Genome-wide transcriptomic analyses have provided valuable insight into fundamental biology and disease pathophysiology. Many studies have taken advantage of the correlation in the expression patterns of the transcriptome to infer a potential biologic function of uncharacterized genes, and multiple groups have examined the relationship between co-expression, co-regulation, and gene function on a broader scale. Given the unique characteristics of immune cells circulating in the blood, we were interested in determining whether it was possible to identify functional co-expression modules in human immune cells. Specifically, we sequenced the transcriptome of nine immune cell types from peripheral blood cells of healthy donors and, using a combination of global and targeted analyses of genes within co-expression modules, we were able to determine functions for these modules that were cell lineage-specific or shared among multiple cell lineages. In addition, our analyses identified transcription factors likely important for immune cell lineage commitment and/or maintenance.

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