https://www.selleckchem.com/products/MK-1775.html Here, we present a strategy to map and quantify the interactions between Myc and chromatin using a calibrated Myc ChIP-seq approach. We recommend the use of an internal spike-in control for post-sequencing normalization to enable detection of broad changes in Myc binding as can occur under conditions with varied Myc abundance. We also highlight a range of bioinformatic analyses that can dissect the downstream effects of Myc binding. These methods include peak calling, mapping Myc onto an integrated metagenome, juxtaposing ChIP-seq data with matching RNA-seq data, and identifying gene ontologies enriched for genes with high Myc binding. Our aim is to provide a guided strategy, from cell harvest through to bioinformatic analysis, to elucidate the global effects of Myc on transcription.The c-MYC oncogene is activated in ~50% of all tumors and its product, the c-MYC transcription factor, regulates numerous processes, which contribute to tumor initiation and progression. Therefore, the genome-wide characterization of c-MYC targets and their role in different tumor entities is a recurrent theme in cancer research. Recently, next-generation sequencing (NGS) has become a powerful tool to analyze mRNA and miRNA expression, as well as DNA binding of proteins in a genome-wide manner with an extremely high resolution and coverage. Since the c-MYC transcription factor regulates mRNA and miRNA expression by binding to specific DNA elements in the vicinity of promoters, NGS can be used to generate integrated representations of c-MYC-mediated regulations of gene transcription and chromatin modifications. Here, we provide protocols and examples of NGS-based analyses of c-MYC-regulated mRNA and miRNA expression, as well as of DNA binding by c-MYC. Furthermore, we describe the validation of single c-MYC targets identified by NGS . Taken together, these approaches allow an accelerated and comprehensive analysis of c-MYC function in nume