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High-coverage methylation data of a gene model before and after DNA damage and homologous repair

Genome-wide methylation analysis is limited by its low coverage and the inability to detect single variants below 10%. Quantitative analysis provides accurate information on the extent of methylation of single CpG dinucleotide, but it does not measure the actual polymorphism of the methylation profi...

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Autores principales: Pezone, Antonio, Russo, Giusi, Tramontano, Alfonso, Florio, Ermanno, Scala, Giovanni, Landi, Rosaria, Zuchegna, Candida, Romano, Antonella, Chiariotti, Lorenzo, Muller, Mark T., Gottesman, Max E., Porcellini, Antonio, Avvedimento, Enrico V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387920/
https://www.ncbi.nlm.nih.gov/pubmed/28398335
http://dx.doi.org/10.1038/sdata.2017.43
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author Pezone, Antonio
Russo, Giusi
Tramontano, Alfonso
Florio, Ermanno
Scala, Giovanni
Landi, Rosaria
Zuchegna, Candida
Romano, Antonella
Chiariotti, Lorenzo
Muller, Mark T.
Gottesman, Max E.
Porcellini, Antonio
Avvedimento, Enrico V.
author_facet Pezone, Antonio
Russo, Giusi
Tramontano, Alfonso
Florio, Ermanno
Scala, Giovanni
Landi, Rosaria
Zuchegna, Candida
Romano, Antonella
Chiariotti, Lorenzo
Muller, Mark T.
Gottesman, Max E.
Porcellini, Antonio
Avvedimento, Enrico V.
author_sort Pezone, Antonio
collection PubMed
description Genome-wide methylation analysis is limited by its low coverage and the inability to detect single variants below 10%. Quantitative analysis provides accurate information on the extent of methylation of single CpG dinucleotide, but it does not measure the actual polymorphism of the methylation profiles of single molecules. To understand the polymorphism of DNA methylation and to decode the methylation signatures before and after DNA damage and repair, we have deep sequenced in bisulfite-treated DNA a reporter gene undergoing site-specific DNA damage and homologous repair. In this paper, we provide information on the data generation, the rationale for the experiments and the type of assays used, such as cytofluorimetry and immunoblot data derived during a previous work published in Scientific Reports, describing the methylation and expression changes of a model gene (GFP) before and after formation of a double-strand break and repair by homologous-recombination or non-homologous-end-joining. These data provide: 1) a reference for the analysis of methylation polymorphism at selected loci in complex cell populations; 2) a platform and the tools to compare transcription and methylation profiles.
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spelling pubmed-53879202017-04-21 High-coverage methylation data of a gene model before and after DNA damage and homologous repair Pezone, Antonio Russo, Giusi Tramontano, Alfonso Florio, Ermanno Scala, Giovanni Landi, Rosaria Zuchegna, Candida Romano, Antonella Chiariotti, Lorenzo Muller, Mark T. Gottesman, Max E. Porcellini, Antonio Avvedimento, Enrico V. Sci Data Data Descriptor Genome-wide methylation analysis is limited by its low coverage and the inability to detect single variants below 10%. Quantitative analysis provides accurate information on the extent of methylation of single CpG dinucleotide, but it does not measure the actual polymorphism of the methylation profiles of single molecules. To understand the polymorphism of DNA methylation and to decode the methylation signatures before and after DNA damage and repair, we have deep sequenced in bisulfite-treated DNA a reporter gene undergoing site-specific DNA damage and homologous repair. In this paper, we provide information on the data generation, the rationale for the experiments and the type of assays used, such as cytofluorimetry and immunoblot data derived during a previous work published in Scientific Reports, describing the methylation and expression changes of a model gene (GFP) before and after formation of a double-strand break and repair by homologous-recombination or non-homologous-end-joining. These data provide: 1) a reference for the analysis of methylation polymorphism at selected loci in complex cell populations; 2) a platform and the tools to compare transcription and methylation profiles. Nature Publishing Group 2017-04-11 /pmc/articles/PMC5387920/ /pubmed/28398335 http://dx.doi.org/10.1038/sdata.2017.43 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Pezone, Antonio
Russo, Giusi
Tramontano, Alfonso
Florio, Ermanno
Scala, Giovanni
Landi, Rosaria
Zuchegna, Candida
Romano, Antonella
Chiariotti, Lorenzo
Muller, Mark T.
Gottesman, Max E.
Porcellini, Antonio
Avvedimento, Enrico V.
High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title_full High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title_fullStr High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title_full_unstemmed High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title_short High-coverage methylation data of a gene model before and after DNA damage and homologous repair
title_sort high-coverage methylation data of a gene model before and after dna damage and homologous repair
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5387920/
https://www.ncbi.nlm.nih.gov/pubmed/28398335
http://dx.doi.org/10.1038/sdata.2017.43
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