| Literature DB >> 32512157 |
Dan Hao1, Xiaogang Wang2, Xiao Wang3, Bo Thomsen4, Haja N Kadarmideen3, Xianyong Lan2, Yongzhen Huang2, Hong Chen5.
Abstract
Skeletal muscles constitute a high proportion of the cellular mass that is essential for the growth traits in cattle. Resveratrol (RSV) is a natural polyphenol compound involved in pleiotropic biological activities of muscle. Therefore, the aim of our study was to investigate the transcriptome-level effects of RSV on bovine primary myoblast to reveal differentially expressed genes (DEGs). We treated three replicates of primary myoblasts with 20 μM mother solution containing RSV, whereas three other replicates without RSV were used as control group. Then, we conducted genome-wide transcriptome analysis for the two groups. The results of expression analysis identified 3856 DEGs of which 1805 genes were up-regulated and 2051 genes were down-regulated (adjusted P < 0.05). In addition, qRT-PCR analysis of 19 selected DEGs were consistent with the expression levels observed in the transcriptome data. Gene Ontology (GO) and pathway enrichment analysis showed 72 and 66 significant GO terms and KEGG pathways, respectively (adjusted P < 0.05). The most significant GO term was actin cytoskeleton organization (GO:0030036). The top significant KEGG pathway was focal adhesion (bta04510). Predicted protein-protein interactions (PPIs) showed that CDKN1A encoding cyclindependent kinase inhibitor 1A connects several larger protein complexes. In conclusion, our results found a list of DEGs, significant GO terms and pathways, and provided an improved and expanded understanding of the impact of RSV on cattle muscle cells at the transcriptomic level. The study elucidates the potential of using the genes enriched in pathways mediating resveratrol effects as targets in genomic selection for muscle development and growth in beef cattle.Entities:
Keywords: Bovine skeletal muscle cells; Differentially expressed genes; Polyphenol resveratrol; mRNA
Year: 2020 PMID: 32512157 DOI: 10.1016/j.gene.2020.144849
Source DB: PubMed Journal: Gene ISSN: 0378-1119 Impact factor: 3.688