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Integrative ATAC-seq and RNA-seq analysis of myogenic differentiation of ovine skeletal muscle satellite cell.
- 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]
- Subjects :
- *SATELLITE cells
*MUSCLE cells
*RNA sequencing
*GENE expression
*MUSCLE regeneration
Subjects
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