Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation.
Rapid profiling of transcription factor-cofactor interaction networks reveals principles of epigenetic regulation.
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转录因子-辅因子相互作用网络的快速分析揭示了表观遗传调控的原理。
DOI:
10.1101/2024.04.05.588333
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发表时间:
2024
期刊:
影响因子:
--
通讯作者:
Siggers,T
中科院分区:
文献类型:
--
作者:
Inge,MM;Miller,R;Hook,H;Bray,D;Keenan,JL;Zhao,R;Gilmore,TD;Siggers,T
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 theCofactorRecruitment (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.
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影响因子:
64.5
作者:
S. Sakonju;Donald D. Brown;D. Engelke;S. Ng;B. S. Shastry;R. Roeder
通讯作者:
R. Roeder
影响因子:
--
作者:
Tullius,TD;Dombroski,BA;Churchill,ME;Kam,L
通讯作者:
Kam,L
影响因子:
64.5
作者:
SMITH, DR;JACKSON, IJ;BROWN, DD
通讯作者:
BROWN, DD
DOI:
10.1016/s0021-9258(18)83302-6
发表时间:
1989
期刊:
The Journal of biological chemistry
影响因子:
--
作者:
J. Hayes;T. Tullius;A. Wolffe
通讯作者:
A. Wolffe
影响因子:
5.3
作者:
D. Bazett;M. L. Brown
通讯作者:
M. L. Brown