Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data

Mattia Pelizzola; Marco J Morelli; Arianna Sabò; Theresia R Kress; Stefano de Pretis; Bruno Amati

doi:10.1016/j.dib.2015.02.003

Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data

Data Brief. 2015 Feb 12:3:40-6. doi: 10.1016/j.dib.2015.02.003. eCollection 2015 Jun.

Authors

Mattia Pelizzola¹, Marco J Morelli¹, Arianna Sabò¹, Theresia R Kress¹, Stefano de Pretis¹, Bruno Amati²

Affiliations

¹ Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), Via Adamello 16, 20139 Milan, Italy.
² Center for Genomic Science of IIT@SEMM, Fondazione Istituto Italiano di Tecnologia (IIT), Via Adamello 16, 20139 Milan, Italy ; Department of Experimental Oncology, European Institute of Oncology (IEO), Via Adamello 16, 20139 Milan, Italy.

Abstract

The gene expression programs regulated by the Myc transcription factor were evaluated by integrated genome-wide profiling of Myc binding sites, chromatin marks and RNA expression in several biological models. Our results indicate that Myc directly drives selective transcriptional regulation, which in certain physiological conditions may indirectly lead to RNA amplification. Here, we illustrate in detail the experimental design concerning the high-throughput sequencing data associated with our study (Sabò et al., Nature. (2014) 511:488-492) and the R scripts used for their computational analysis.

Keywords: B-cell lymphoma; Post-translational histone modifications; Transcription.