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Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing.
Zhang, Wei Wei; Sun, Xiao Feng; Tong, Hui Li; Wang, Ya Hui; Li, Shu Feng; Yan, Yun Qin; Li, Guang Peng.
Afiliación
  • Zhang WW; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
  • Sun XF; College of Life Sciences and Agriculture & Forestry, Qiqihar University, Qiqihar, Heilongjiang 161006 China.
  • Tong HL; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
  • Wang YH; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
  • Li SF; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
  • Yan YQ; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
  • Li GP; The Laboratory of Cell and Development, Northeast Agricultural University, Mucai Street 59, Xiangfang District, Harbin, 150030 Heilongjiang China.
Cell Mol Biol Lett ; 21: 8, 2016.
Article en En | MEDLINE | ID: mdl-28536611
BACKGROUND: The differentiation of skeletal muscle-derived satellite cells (MDSCs) is important in controlling muscle growth, improving livestock muscle quality, and healing of muscle-related disease. MicroRNAs (miRNAs) are a class of gene expression regulatory factors, which play critical roles in the regulation of muscle cell differentiation. This study aimed to compare the expression profile of miRNAs in MDSC differentiation, and to investigate the miRNAs which are involved in MDSC differentiation. METHOD: Total RNA was extracted from MDSCs at three different stages of differentiation (MDSC-P, MDSC-D1 and MDSC-D3, representing 0, 1 and 3 days after differentiation, respectively), and used to construct small RNA libraries for RNA sequencing (RNA-seq). RESULTS: The results showed that in total 617 miRNAs, including 53 novel miRNA candidates, were identified. There were 9 up-expressed, 165 down-expressed, and 15 up-expressed, 145 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. Also, 17 up-expressed, 55 down-expressed miRNAs were observed in MDSC-D3 compared to those in MDSC-D1. All known miRNAs belong to 237 miRNA gene families. Furthermore, we observed some sequence variants and base edits of the miRNAs. GO and KEGG pathway analysis showed that the majority of target genes regulated by miRNAs were involved in cellular metabolism, pathways in cancer, actin cytoskeleton regulation and the MAPK signaling pathway. Regarding the 53 novel miRNAs, there were 7 up-expressed, 31 down-expressed, and 8 up-expressed, 26 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. The expression levels of 12 selected miRNA genes detected by RT-qPCR were consistent with those generated by deep sequencing. CONCLUSIONS: This study confirmed the authenticity of 564 known miRNAs and identified 53 novel miRNAs which were involved in MDSC differentiation. The identification of novel miRNAs has significantly expanded the repertoire of bovine miRNAs and could contribute to advances in understanding muscle development in cattle.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diferenciación Celular / Células Satélite del Músculo Esquelético / MicroARNs / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Mol Biol Lett Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diferenciación Celular / Células Satélite del Músculo Esquelético / MicroARNs / Transcriptoma Tipo de estudio: Prognostic_studies Idioma: En Revista: Cell Mol Biol Lett Asunto de la revista: BIOLOGIA MOLECULAR Año: 2016 Tipo del documento: Article