| Literature DB >> 30080426 |
Rui Chen1, Ting Jiang2, Si Lei1, Yanling She1, Huacai Shi1, Shanyao Zhou1, Jun Ou3, Yulin Liu3.
Abstract
The importance of circular RNAs (circRNAs) as regulators of muscle development and muscle-associated disorders is becoming increasingly apparent. To explore potential regulators of muscle differentiation, we determined the expression profiles of circRNAs of skeletal muscle C2C12 myoblasts and myotubes using microarray analysis. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to explore circRNA functions. We also established competing endogenous RNA (ceRNA) networks using bioinformatics methods and predicted the coding potential of differentially expressed circRNAs. We found that 581 circRNAs were differentially regulated between C2C12 myoblasts and myotubes. Bioinformatics analysis suggested that the primary functions of the linear transcripts of the circRNAs were linked with organization of the cytoskeleton, calcium signaling, cell cycle, and metabolic pathways. ceRNA networks showed that the myogenic-specific genes myogenin, myocyte enhancer factor 2a, myosin heavy chain (Myh)-1, Myh7, and Myh7b could combine with 91 miRNAs and the top 30 upregulated circRNAs, forming 239 edges. According to the number of open reading frames and N6-methyladenosine motifs, we identified 224 circRNAs with coding potential, and performed GO and KEGG analyses based on the linear counterparts of 75 circRNAs. We determined that the 75 circRNAs were related to regulation of the actin cytoskeleton and metabolic pathways. We established expression profiles of circRNAs during C2C12 myoblast differentiation and predicted the function of differentially expressed circRNAs, which might be involved in skeletal muscle development. Our study offers new insight into the functions of circRNAs in skeletal muscle growth and development.Entities:
Keywords: Circular RNAs (circRNAs); coding potential; microarray analysis; muscle differentiation
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Year: 2018 PMID: 30080426 PMCID: PMC6133337 DOI: 10.1080/15384101.2018.1502575
Source DB: PubMed Journal: Cell Cycle ISSN: 1551-4005 Impact factor: 4.534