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Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration
Acetylation and tri-methylation of histone H3 lysine 9 (H3K9ac and H3K9me3) play an interactive regulatory role in the epigenetic regulation of gene expression during heart development and cardiovascular disease, but little is known about their possible role in heart regeneration. Here we utilized g...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483719/ https://www.ncbi.nlm.nih.gov/pubmed/36131949 http://dx.doi.org/10.1016/j.dib.2022.108569 |
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author | Wang, Xuelong Guo, Huiping Yu, Feifei Zhang, Hui Peng, Ying Wang, Chenghui Wei, Gang Yan, Jizhou |
author_facet | Wang, Xuelong Guo, Huiping Yu, Feifei Zhang, Hui Peng, Ying Wang, Chenghui Wei, Gang Yan, Jizhou |
author_sort | Wang, Xuelong |
collection | PubMed |
description | Acetylation and tri-methylation of histone H3 lysine 9 (H3K9ac and H3K9me3) play an interactive regulatory role in the epigenetic regulation of gene expression during heart development and cardiovascular disease, but little is known about their possible role in heart regeneration. Here we utilized genome-wide high-throughput RNA sequencing (RNA-seq) and chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) for H3K9ac and H3K9me3, carried out on regenerative cardiac tissues at different days post amputation in zebrafish (Danio rerio) to investigate dynamic changes in gene expression and the epigenetic landscape of H3K9ac and H3K9me3. The STAR, Bowtie2, MACS2, and deepTools2 were mainly used for RNA-Seq or ChIP-seq data analysis. In this article, we present detailed information on experiment design, data generation, quality assessment and processing pipeline. Raw reads of the RNA-seq and ChIP-seq data have been deposited at the NCBI GEO repository with the accession number GSE158104. Our data will be a valuable resource for the elucidation of H3K9ac and H3K9me3 involvement in the regulation of gene transcription during cardiac regeneration. |
format | Online Article Text |
id | pubmed-9483719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94837192022-09-20 Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration Wang, Xuelong Guo, Huiping Yu, Feifei Zhang, Hui Peng, Ying Wang, Chenghui Wei, Gang Yan, Jizhou Data Brief Data Article Acetylation and tri-methylation of histone H3 lysine 9 (H3K9ac and H3K9me3) play an interactive regulatory role in the epigenetic regulation of gene expression during heart development and cardiovascular disease, but little is known about their possible role in heart regeneration. Here we utilized genome-wide high-throughput RNA sequencing (RNA-seq) and chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) for H3K9ac and H3K9me3, carried out on regenerative cardiac tissues at different days post amputation in zebrafish (Danio rerio) to investigate dynamic changes in gene expression and the epigenetic landscape of H3K9ac and H3K9me3. The STAR, Bowtie2, MACS2, and deepTools2 were mainly used for RNA-Seq or ChIP-seq data analysis. In this article, we present detailed information on experiment design, data generation, quality assessment and processing pipeline. Raw reads of the RNA-seq and ChIP-seq data have been deposited at the NCBI GEO repository with the accession number GSE158104. Our data will be a valuable resource for the elucidation of H3K9ac and H3K9me3 involvement in the regulation of gene transcription during cardiac regeneration. Elsevier 2022-09-02 /pmc/articles/PMC9483719/ /pubmed/36131949 http://dx.doi.org/10.1016/j.dib.2022.108569 Text en © 2022 The Author(s). Published by Elsevier Inc. https://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 Wang, Xuelong Guo, Huiping Yu, Feifei Zhang, Hui Peng, Ying Wang, Chenghui Wei, Gang Yan, Jizhou Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title | Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title_full | Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title_fullStr | Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title_full_unstemmed | Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title_short | Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration |
title_sort | dataset for transcriptomic, h3k9ac and h3k9me3 profiles during cardiac regeneration |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483719/ https://www.ncbi.nlm.nih.gov/pubmed/36131949 http://dx.doi.org/10.1016/j.dib.2022.108569 |
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