1. Genome-wide identification of post-translational modulators of transcription factor activity in human B cells.
- Author
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Wang K, Saito M, Bisikirska BC, Alvarez MJ, Lim WK, Rajbhandari P, Shen Q, Nemenman I, Basso K, Margolin AA, Klein U, Dalla-Favera R, and Califano A
- Subjects
- B-Lymphocytes metabolism, Basic Helix-Loop-Helix Transcription Factors genetics, Basic Helix-Loop-Helix Transcription Factors metabolism, Cell Line, Cell Line, Tumor, Histone Deacetylase 1 genetics, Histone Deacetylase 1 metabolism, Homeodomain Proteins genetics, Homeodomain Proteins metabolism, Humans, MADS Domain Proteins genetics, MADS Domain Proteins metabolism, MEF2 Transcription Factors, Microarray Analysis, Myogenic Regulatory Factors genetics, Myogenic Regulatory Factors metabolism, Phosphorylation, Protein Serine-Threonine Kinases genetics, Protein Serine-Threonine Kinases metabolism, Protein Stability, Proto-Oncogene Proteins c-myc metabolism, Reproducibility of Results, Signal Transduction, Systems Biology methods, Transcription Factors genetics, Algorithms, B-Lymphocytes physiology, Models, Genetic, Protein Processing, Post-Translational genetics, Proto-Oncogene Proteins c-myc genetics, Transcription Factors metabolism
- 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 applicable to study the post-translational modulation of mammalian TFs in any cellular context. As such it can be used to dissect context-specific signaling pathways and combinatorial transcriptional regulation.
- Published
- 2009
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