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Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation (ChIP-Seq)

GSE266125 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2024/06/30 Platform GPL24676
Summary
Transcription factor (TF)-cofactor (COF) interactions define dynamic, cell-specific networks that govern gene expression; however, these networks are understudied due to a lack of methods for high-throughput profiling of DNA-bound TF-COF complexes. Here we describe the Cofactor Recruitment (CoRec) method for rapid profiling of cell-specific TF-COF complexes. We define a lysine acetyltransferase (KAT)-TF network in resting and stimulated T cells. We find promiscuous recruitment of KATs for many TFs and that 35% of KAT-TF interactions are condition specific. KAT-TF interactions identify NF-κB as a primary regulator of acutely induced H3K27ac. Finally, we find that heterotypic clustering of CBP/P300-recruiting TFs is a strong predictor of total promoter H3K27ac. Our data supports clustering of TF sites that broadly recruit KATs as a mechanism for widespread co-occurring histone acetylation marks. CoRec can be readily applied to different cell systems and provides a powerful approach to define TF-COF networks impacting chromatin state and gene regulation.
Published in
Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation
Inge MM, Miller R, Hook H et al. · Nucleic acids research 2024 · PMID 39166482 · doi:10.1093/nar/gkae706
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Also filed as BioProject PRJNA1105935 and SRA study SRP504690. Searching any of these in the dataset finder brings you back here.

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