Chen Rui, Jiang Ting, She Yanling, Xie Sidong, Zhou Shanyao, Li Cheng, Ou Jun, Liu Yulin
Guangdong Traditional Medical and Sports Injury Rehabilitation Research Institute, Guangdong Second Provincial General Hospital, 466 Xin Gang Zhong Road, Guangzhou 510317, China.
Department of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, 600 Tian He Road, Guangzhou 510630, China.
Gene. 2018 Mar 20;647:164-173. doi: 10.1016/j.gene.2018.01.039. Epub 2018 Jan 10.
Long non-coding RNAs (lncRNAs) are emerging as important regulators in the modulation of muscle development and muscle-related diseases. To explore potential regulators of muscle differentiation, we determined the expression profiles of lncRNAs and mRNAs in C2C12 mouse myoblast cell line using microarray analysis. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to explore their function. We also constructed co-expression, cis/trans-regulation, and competing endogenous RNA (ceRNA) networks with bioinformatics methods. We found that 3067 lncRNAs and 3235 mRNAs were differentially regulated (fold change ≥2.0). Bioinformatics analysis indicated that the principal functions of the transcripts were related to muscle structure development and morphogenesis. Co-expression analysis showed 261 co-expression relationships between 233 lncRNAs and 10 mRNAs, and nine lncRNAs interacted with myog and MEF2C collectively. Cis/trans-regulation prediction revealed that lncRNA Myh6 could be a valuable gene via cis-regulation, and lncRNAs such as 2310043L19Ris, V00821, and AK139352 may participate in particular pathways regulated by transcription factors, including myog, myod1, and foxo1. The myog-specific ceRNA network covered 10 lncRNAs, 378 miRNAs, and 1960 edges. The upregulated lncRNAs Filip1, Myl1, and 2310043L19Rik may promote myog expression by acting as ceRNAs. Our results offer a new perspective on the modulation of lncRNAs in muscle differentiation.
长链非编码RNA(lncRNAs)正逐渐成为肌肉发育和肌肉相关疾病调控中的重要调节因子。为了探索肌肉分化的潜在调节因子,我们使用微阵列分析确定了C2C12小鼠成肌细胞系中lncRNAs和mRNAs的表达谱。进行了基因本体论和京都基因与基因组百科全书通路富集分析以探索它们的功能。我们还利用生物信息学方法构建了共表达、顺式/反式调控和竞争性内源RNA(ceRNA)网络。我们发现3067个lncRNAs和3235个mRNAs存在差异调节(倍数变化≥2.0)。生物信息学分析表明,这些转录本的主要功能与肌肉结构发育和形态发生有关。共表达分析显示233个lncRNAs和10个mRNAs之间存在261种共表达关系,并且9个lncRNAs与肌细胞生成素(myog)和肌细胞增强因子2C(MEF2C)共同相互作用。顺式/反式调控预测表明,lncRNA肌红蛋白6(Myh6)可能通过顺式调控成为一个有价值的基因,并且诸如2310043L19Ris、V00821和AK139352等lncRNAs可能参与由转录因子(包括myog、肌分化因子1(myod1)和叉头框蛋白O1(foxo1))调控的特定途径。myog特异性ceRNA网络涵盖10个lncRNAs、378个微小RNA(miRNAs)和1960条边。上调的lncRNAs Filip1、肌球蛋白轻链1(Myl1)和2310043L19Rik可能通过作为ceRNAs促进myog表达。我们的结果为lncRNAs在肌肉分化中的调控提供了新的视角。