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Integrative ATAC-seq and RNA-seq analysis of myogenic differentiation of ovine skeletal muscle satellite cell.

Authors :
Su, Yingxiao
He, Siqi
Chen, Qian
Zhang, Hechun
Huang, Chang
Zhao, Qian
Pu, Yabin
He, Xiaohong
Jiang, Lin
Ma, Yuehui
Zhao, Qianjun
Source :
Genomics. May2024, Vol. 116 Issue 3, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Skeletal muscle satellite cells (SMSCs) play an important role in regulating muscle growth and regeneration. Chromatin accessibility allows physical interactions that synergistically regulate gene expression through enhancers, promoters, insulators, and chromatin binding factors. However, the chromatin accessibility altas and its regulatory role in ovine myoblast differentiation is still unclear. Therefore, ATAC-seq and RNA-seq analysis were performed on ovine SMSCs at the proliferation stage (SCG) and differentiation stage (SCD). 17,460 DARs (differential accessibility regions) and 3732 DEGs (differentially expressed genes) were identified. Based on joint analysis of ATAC-seq and RNA-seq, we revealed that PI3K-Akt, TGF-β and other signaling pathways regulated SMSCs differentiation. We identified two novel candidate genes, FZD5 and MAP2K6 , which may affect the proliferation and differentiation of SMSCs. Our data identify potential cis regulatory elements of ovine SMSCs. This study can provide a reference for exploring the mechanisms of the differentiation and regeneration of SMSCs in the future. • ATAC-seq and RNA-seq analysis were performed on ovine SMSCs at the proliferation stage (SCG) and differentiation stage (SCD). • 17,460 DARs (differential accessibility regions) and 3732 DEGs (differentially expressed genes) were identified. • Based on joint analysis of ATAC-seq and RNA-seq, PI3K-Akt, TGF-βand other signaling pathways regulated SMSCs differentiation. • We identified two novel candidate genes, FZD5 and MAP2K6 ,which may affect the proliferation and differentiation of SMSCs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08887543
Volume :
116
Issue :
3
Database :
Academic Search Index
Journal :
Genomics
Publication Type :
Academic Journal
Accession number :
177394079
Full Text :
https://doi.org/10.1016/j.ygeno.2024.110851