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| Adam A. Margolin; Teresa Palomero; Pavel Sumazin; Andrea Califano; Adolfo Ferrando; Gustavo A. Stolovitzky. |
| ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Biochemically validated analysis in human T-cells reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind one order of magnitude more promoters than previously thought. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and... |
| Tipo: Manuscript |
Palavras-chave: Cancer; Genetics & Genomics; Bioinformatics. |
| Ano: 2007 |
URL: http://precedings.nature.com/documents/1364/version/1 |
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