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pmid:36131949

Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration.

Xuelong Wang · Huiping Guo · Feifei Yu · Hui Zhang · Ying Peng · Chenghui Wang · Gang Wei · Jizhou Yan

Data in brief · 2022 doi:10.1016/j.dib.2022.108569

Paper

complete

Experiment

complete

Data

partial

Analysis

complete

Execution

absent

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Dataset for transcriptomic, H3K9ac and H3K9me3 profiles during cardiac regeneration.
doi
10.1016/j.dib.2022.108569
pmid
36131949
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[0]
Xuelong Wang
[1]
Huiping Guo
[2]
Feifei Yu
[3]
Hui Zhang
[4]
Ying Peng
[5]
Chenghui Wang
[6]
Gang Wei
[7]
Jizhou Yan
journal
Data in brief
year
2022
abstract
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.
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Keratin5-cytoskeleton-BMP4 network regulates cell phenotype conversions during cardiac regeneration
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