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transcription factors T-bet and GATA-3 control alternative pathways of T-cell differentiation through a shared set of target genes

Upon detection of antigen, CD4⁺ T helper (Th) cells can differentiate into a number of effector types that tailor the immune response to different pathogens. Alternative Th1 and Th2 cell fates are specified by the transcription factors T-bet and GATA-3, respectively. Only a handful of target genes a...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2009-10, Vol.106 (42), p.17876-17881
Main Authors: Jenner, Richard G, Townsend, Michael J, Jackson, Ian, Sun, Kaiming, Bouwman, Russell D, Young, Richard A, Glimcher, Laurie H, Lord, Graham M
Format: Article
Language:English
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Summary:Upon detection of antigen, CD4⁺ T helper (Th) cells can differentiate into a number of effector types that tailor the immune response to different pathogens. Alternative Th1 and Th2 cell fates are specified by the transcription factors T-bet and GATA-3, respectively. Only a handful of target genes are known for these two factors and because of this, the mechanism through which T-bet and GATA-3 induce differentiation toward alternative cell fates is not fully understood. Here, we provide a genomic map of T-bet and GATA-3 binding in primary human T cells and identify their target genes, most of which are previously unknown. In Th1 cells, T-bet associates with genes of diverse function, including those with roles in transcriptional regulation, chemotaxis and adhesion. GATA-3 occupies genes in both Th1 and Th2 cells and, unexpectedly, shares a large proportion of targets with T-bet. Re-complementation of T-bet alters the expression of these genes in a manner that mirrors their differential expression between Th1 and Th2 lineages. These data show that the choice between Th1 and Th2 lineage commitment is the result of the opposing action of T-bet and GATA-3 at a shared set of target genes and may provide a general paradigm for the interaction of lineage-specifying transcription factors.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0909357106