Transcriptome Analysis of Differentially Expressed Genes and Molecular Pathways Involved in C2C12 Cells Myogenic Differentiation

IF 2.4 4区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Biotechnology Pub Date : 2024-09-18 DOI:10.1007/s12033-024-01259-7
Lingjian Tao, Weixing Huang, Zhiyan Li, Wei Wang, Xinhuan Lei, Jiangjie Chen, Xiaoting Song, Fangying Lu, Shaohua Fan, Liwei Zhang
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Abstract

Muscles are essential tissues responsible for movement, stability, and metabolism, playing a crucial role in human health and well-being. A comprehensive understanding of muscle differentiation processes is imperative for combating muscle degenerative diseases such as muscular dystrophy. In this study, C2C12 cells were induced to differentiate into myotubes in vitro. Phenotypic changes were observed utilizing Gimsa and immunofluorescent staining techniques. RNA sequencing was conducted at distinct time points (0, 2, 4, and 7 days) during the differentiation process. To elucidate the underlying molecular mechanisms, differential expression analysis, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and Gene Set Enrichment Analysis (GSEA) were performed. Soft clustering of time series gene expression was employed to establish the expression patterns of differentially expressed genes (DEGs) at various time points during myogenesis. Additionally, quantitative reverse transcription PCR was utilized to validate gene expression from RNA-seq data at the mRNA level. Throughout the myogenic differentiation of C2C12 cells, notable morphological changes were observed, with myoblasts forming multinucleated myotubes by day 4 and plump elongated structures by day 7. Gene expression analysis revealed a substantial increase in DEGs as differentiation progressed, with a significant rise in DEGs from day 0 to day 7. Enrichment analysis highlighted key biological processes and pathways involved, including signal transduction and immune system processes, as well as pathways like chemokine and calcium signaling. Noise-robust soft clustering identified distinct temporal gene expression patterns, categorizing genes into upregulated, downregulated, and biphasic response clusters. The MYH family exhibited diverse expression changes, with Myh3, Myh13, Myh6, Myh7, Myh2, Myh8, Myh14, Myh7b, Myh1, and Myh4 upregulated, Myh10, Myh9, and Myh12 downregulated. Key transcription factors displayed dynamic expression patterns, which was crucial for the regulation of myoblast differentiation. A comprehensive and dynamic transcriptomic analysis of the C2C12 myoblast differentiation process has significantly enhanced our understanding of the key genes and biological pathways involved in myogenesis.

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参与 C2C12 细胞成肌分化的差异表达基因和分子通路的转录组分析
肌肉是负责运动、稳定和新陈代谢的重要组织,对人类的健康和福祉起着至关重要的作用。全面了解肌肉分化过程对于防治肌肉退行性疾病(如肌肉萎缩症)至关重要。本研究在体外诱导 C2C12 细胞分化成肌管。利用 Gimsa 和免疫荧光染色技术观察表型变化。在分化过程中的不同时间点(0、2、4 和 7 天)进行了 RNA 测序。为了阐明潜在的分子机制,研究人员进行了差异表达分析、基因本体(GO)、京都基因组百科全书(KEGG)通路分析和基因组富集分析(GSEA)。通过对时间序列基因表达进行软聚类分析,确定了肌形成过程中不同时间点差异表达基因(DEGs)的表达模式。此外,还利用定量反转录 PCR 在 mRNA 水平验证了 RNA-seq 数据中的基因表达。在C2C12细胞的整个成肌分化过程中,观察到了明显的形态变化,成肌细胞在第4天形成多核肌管,在第7天形成丰满的细长结构。基因表达分析显示,随着分化的进行,DEGs大幅增加,从第0天到第7天,DEGs显著增加。富集分析突出显示了所涉及的关键生物过程和通路,包括信号转导和免疫系统过程,以及趋化因子和钙信号转导等通路。噪声抑制软聚类分析确定了不同时间的基因表达模式,将基因分为上调、下调和双相反应群。MYH家族表现出不同的表达变化,其中Myh3、Myh13、Myh6、Myh7、Myh2、Myh8、Myh14、Myh7b、Myh1和Myh4上调,Myh10、Myh9和Myh12下调。关键转录因子呈现动态表达模式,这对调控成肌细胞分化至关重要。对C2C12成肌细胞分化过程进行全面、动态的转录组分析,大大加深了我们对参与成肌过程的关键基因和生物通路的了解。
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来源期刊
Molecular Biotechnology
Molecular Biotechnology 医学-生化与分子生物学
CiteScore
4.10
自引率
3.80%
发文量
165
审稿时长
6 months
期刊介绍: Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.
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