Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation

Nucleic Acids Res. 2024 Sep 23;52(17):10276-10296. doi: 10.1093/nar/gkae706.

Abstract

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 histone 3 lysine 27 acetylation (H3K27ac). Finally, we find that heterotypic clustering of CBP/P300-recruiting TFs is a strong predictor of total promoter H3K27ac. Our data support 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.

MeSH terms

  • Acetylation
  • Epigenesis, Genetic*
  • Gene Regulatory Networks
  • Histone Acetyltransferases / genetics
  • Histone Acetyltransferases / metabolism
  • Histones* / metabolism
  • Humans
  • NF-kappa B / metabolism
  • Promoter Regions, Genetic
  • T-Lymphocytes / metabolism
  • Transcription Factors* / metabolism
  • p300-CBP Transcription Factors / metabolism

Substances

  • Histones
  • Transcription Factors
  • p300-CBP Transcription Factors
  • NF-kappa B
  • Histone Acetyltransferases