ChIP-enriched in silico targets (ChEST), a ChIP-on-Chip approach applied to analyzing skeletal muscle genes

Abstract

Mapping the cis-regulatory modules (CRMs) to which bind myogenic transcription factors is an -obligatory step towards understanding gene regulatory networks governing muscle development and function. This can be achieved in silico or by chromatin immunoprecipitation (ChIP) approaches. We have developed a ChIP-enriched in silico targets (ChEST) strategy designed for mapping the CRMs by combining in silico and ChIP methods. ChEST involves a software-assisted prediction of transcription factor (TF) - specific CRMs, which are spotted to produce a computed genomic CRM microarray. In parallel, the in vivo pool of targets of a given TF is isolated by ChIP and used as a probe for hybridization with the array generated. Here we describe ChEST strategy applied to identify direct targets of Myogenic Enhancer Factor, Dmef2 in Drosophila embryos.