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p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data

The transcriptional programs activated by p53 in B cells in vivo following exposure to ionizing radiation were studied through the integrated analysis of various types of next-generation sequencing data: genome-wide profiling of p53 binding sites, mapping of histone marks and open chromatin regions...

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Detalles Bibliográficos
Autores principales: Tonelli, Claudia, Amati, Bruno, Morelli, Marco J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778592/
https://www.ncbi.nlm.nih.gov/pubmed/26981355
http://dx.doi.org/10.1016/j.gdata.2015.11.006
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author Tonelli, Claudia
Amati, Bruno
Morelli, Marco J.
author_facet Tonelli, Claudia
Amati, Bruno
Morelli, Marco J.
author_sort Tonelli, Claudia
collection PubMed
description The transcriptional programs activated by p53 in B cells in vivo following exposure to ionizing radiation were studied through the integrated analysis of various types of next-generation sequencing data: genome-wide profiling of p53 binding sites, mapping of histone marks and open chromatin regions and quantification of gene expression. Moreover, the binding of p53 was associated to a series of specific motifs on the DNA, which were directly inferred from the data. Here, we describe in detail the computational analysis of the datasets associated with our study (Tonelli et al., Oncotarget 6 (2015), 24611-26), deposited in the GEO archive (accession code GSE71180), and we provide the R scripts needed to generated the figures of the paper.
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spelling pubmed-47785922016-03-15 p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data Tonelli, Claudia Amati, Bruno Morelli, Marco J. Genom Data Data in Brief The transcriptional programs activated by p53 in B cells in vivo following exposure to ionizing radiation were studied through the integrated analysis of various types of next-generation sequencing data: genome-wide profiling of p53 binding sites, mapping of histone marks and open chromatin regions and quantification of gene expression. Moreover, the binding of p53 was associated to a series of specific motifs on the DNA, which were directly inferred from the data. Here, we describe in detail the computational analysis of the datasets associated with our study (Tonelli et al., Oncotarget 6 (2015), 24611-26), deposited in the GEO archive (accession code GSE71180), and we provide the R scripts needed to generated the figures of the paper. Elsevier 2015-11-07 /pmc/articles/PMC4778592/ /pubmed/26981355 http://dx.doi.org/10.1016/j.gdata.2015.11.006 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data in Brief
Tonelli, Claudia
Amati, Bruno
Morelli, Marco J.
p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title_full p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title_fullStr p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title_full_unstemmed p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title_short p53 transcriptional programs in B cells upon exposure to genotoxic stress in vivo: Computational analysis of next-generation sequencing data
title_sort p53 transcriptional programs in b cells upon exposure to genotoxic stress in vivo: computational analysis of next-generation sequencing data
topic Data in Brief
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778592/
https://www.ncbi.nlm.nih.gov/pubmed/26981355
http://dx.doi.org/10.1016/j.gdata.2015.11.006
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