Genome-wide identification of post-translational modulators of transcription factor activity in human B cells.

ABSTRACT: The ability of a transcription factor (TF) to regulate its targets is modulated by a variety of genetic and epigenetic mechanisms, resulting in highly context-dependent regulatory networks. However, high-throughput methods for the identification of proteins that affect TF activity are still largely unavailable. Here we introduce an algorithm, modulator inference by network dynamics (MINDy), for the genome-wide identification of post-translational modulators of TF activity within a specific cellular context. When used to dissect the regulation of MYC activity in human B lymphocytes, the approach inferred novel modulators of MYC function, which act by distinct mechanisms, including protein turnover, transcription complex formation and selective enzyme recruitment. MINDy is generally applicab

SUBMITTER: Wang K 

PROVIDER: S-EPMC2753889 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature