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

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 i...

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Autores principales: Pelizzola, Mattia, Morelli, Marco J., Sabò, Arianna, Kress, Theresia R., de Pretis, Stefano, Amati, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510069/
https://www.ncbi.nlm.nih.gov/pubmed/26217715
http://dx.doi.org/10.1016/j.dib.2015.02.003
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author Pelizzola, Mattia
Morelli, Marco J.
Sabò, Arianna
Kress, Theresia R.
de Pretis, Stefano
Amati, Bruno
author_facet Pelizzola, Mattia
Morelli, Marco J.
Sabò, Arianna
Kress, Theresia R.
de Pretis, Stefano
Amati, Bruno
author_sort Pelizzola, Mattia
collection PubMed
description 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.
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spelling pubmed-45100692015-07-27 Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data Pelizzola, Mattia Morelli, Marco J. Sabò, Arianna Kress, Theresia R. de Pretis, Stefano Amati, Bruno Data Brief Data Article 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. Elsevier 2015-02-12 /pmc/articles/PMC4510069/ /pubmed/26217715 http://dx.doi.org/10.1016/j.dib.2015.02.003 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Pelizzola, Mattia
Morelli, Marco J.
Sabò, Arianna
Kress, Theresia R.
de Pretis, Stefano
Amati, Bruno
Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title_full Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title_fullStr Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title_full_unstemmed Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title_short Selective transcriptional regulation by Myc: Experimental design and computational analysis of high-throughput sequencing data
title_sort selective transcriptional regulation by myc: experimental design and computational analysis of high-throughput sequencing data
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510069/
https://www.ncbi.nlm.nih.gov/pubmed/26217715
http://dx.doi.org/10.1016/j.dib.2015.02.003
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