张诗玄, 李婕, 武璐丽, 马俊香, 陈丽, 肖忠新, 牛丕业. 基于生物信息学分析揭示ceRNA网络调控锰致神经毒性的标志物[J]. 环境卫生学杂志, 2022, 12(4): 247-253. DOI: 10.13421/j.cnki.hjwsxzz.2022.04.002
    引用本文: 张诗玄, 李婕, 武璐丽, 马俊香, 陈丽, 肖忠新, 牛丕业. 基于生物信息学分析揭示ceRNA网络调控锰致神经毒性的标志物[J]. 环境卫生学杂志, 2022, 12(4): 247-253. DOI: 10.13421/j.cnki.hjwsxzz.2022.04.002
    ZHANG Shi-xuan, LI Jie, WU Lu-li, MA Jun-xiang, CHEN Li, XIAO Zhong-xin, NIU Pi-ye. Identification of biomarkers for ceRNA network in regulating manganese-induced neurotoxicity based on bioinformatics[J]. Journal of Environmental Hygiene, 2022, 12(4): 247-253. DOI: 10.13421/j.cnki.hjwsxzz.2022.04.002
    Citation: ZHANG Shi-xuan, LI Jie, WU Lu-li, MA Jun-xiang, CHEN Li, XIAO Zhong-xin, NIU Pi-ye. Identification of biomarkers for ceRNA network in regulating manganese-induced neurotoxicity based on bioinformatics[J]. Journal of Environmental Hygiene, 2022, 12(4): 247-253. DOI: 10.13421/j.cnki.hjwsxzz.2022.04.002

    基于生物信息学分析揭示ceRNA网络调控锰致神经毒性的标志物

    Identification of biomarkers for ceRNA network in regulating manganese-induced neurotoxicity based on bioinformatics

    • 摘要:
      目的 筛选锰(manganese,Mn)染毒人神经母细胞瘤(SH-SY5Y)细胞后差异表达RNAs,分析内源性竞争RNA(competing endogenous RNA, ceRNA)共表达网络并鉴定出与帕金森病(Parkinson’ s disease,PD)患者大脑皮质中共表达的关键RNAs,揭示Mn致神经毒性与PD的共同分子机制和潜在的生物标志物。
      方法 利用Agilent人表达谱芯片对Mn暴露(500 μmol/L MnCl2, 6h)SH-SY5Y细胞进行mRNAs、miRNAs和lncRNAs检测;运用R软件分析差异表达(differential expression,DE)基因。通过starBase和miRTarBase数据库鉴定miRNA-lncRNA和miRNA-mRNA相互作用关系,用Cytoscape软件构建ceRNA调控网络,对比分析GEO数据库GSE72962检测的PD患者额叶皮质miRNAs表达数据;对DE mRNAs进行GO功能富集和KEGG通路分析。
      结果 Mn染毒SH-SY5Y细胞后差异表达分析筛选出DE lncRNAs 177个,DE miRNAs 112个和DE mRNAs 6 353个。根据共表达分析结果和ceRNA调控机制,最终纳入lncRNAs 20个,miRNAs 14个和mRNAs 27个,共65对相互作用关系构建lncRNA-miRNA-mRNA调控网络。其中miR-124-3p和miR-371a-5p的表达在Mn染毒神经细胞和PD患者额叶皮质中均有显著性变化。GO和KEGG富集分析提示,ceRNA主要富集在神经系统发育、凋亡信号调节、氧化应激反应、自噬、细胞衰老等通路。
      结论 ceRNA调控网络在Mn致神经毒性作用中发挥着重要作用,miR-124-3p和miR-371a-5p可能会成为锰中毒和PD诊断的生物标志物。

       

      Abstract:
      Objective To screen out the differentially expressed(DE) RNAs in human neuroblastoma cells (SH-SY5Y) after manganese (Mn) exposure, to investigate the competing endogenous RNA (ceRNA) network and the key RNAs co-expressed in SH-SY5Y cells exposed to Mn and the cerebral cortex of patients with Parkinson's disease (PD), and to reveal the common potential molecular mechanism of Mn-induced neurotoxicity and PD.
      Methods mRNAs, miRNAs and lncRNAs in Mn-exposed SH-SY5Y cells(500 μmol/L MnCl2 for 6 h) were detected using Agilent human expression microarrays and the differential expression (DE) genes were analyzed by R software. The starBase and miRTarBase databases were used to identify the interaction between miRNA-lncRNA and miRNA-mRNA, Cytoscape software was used to construct the ceRNA regulatory network, and a comparative analysis was performed based on the expression data of miRNAs in the frontal cortex of PD patients in GEO database GSE72962. GO functional enrichment and KEGG pathway analyses were performed for DE mRNAs.
      Results A total of 177 DE lncRNAs, 112 DE miRNAs, and 6353 DE mRNAs were screened out in SH-SY5Y cells after Mn exposure. Based on the results of co-expression analysis and ceRNA regulatory mechanism, 20 lncRNAs, 14 miRNAs, and 27 mRNAs were eventually incorporated into the lncRNA-miRNA-mRNA regulatory network based on 65 pairs of interaction relationship. The expression of miR-124-3p and miR-371a-5p showed significant changes in neural cells after Mn exposure and the frontal cortex of PD patients. GO and KEGG enrichment analyses showed that ceRNAs were mainly enriched in the pathways of nervous system development, apoptotic signal regulation, oxidative stress reaction, autophagy and cell senescence.
      Conclusion The ceRNA regulatory network plays an important role in Mn-induced neurotoxicity, and miR-124-3p and miR-371a-5p may be biomarkers for the diagnosis and treatment of manganism and PD.

       

    /

    返回文章
    返回