引用本文: | 马占兵,耿 芝,焦海燕,霍正浩.hsa-miR-342-3p生物信息学分析[J].生物信息学,2015,13(4):212-219. |
| MA Zhanbing,GENG Zhi,JIAO Haiyan,HUO Zhenghao.Bioinformatics analysis of hsa-miR-342-3p[J].Chinese Journal of Bioinformatics,2015,13(4):212-219. |
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摘要: |
WT5"BZ]通过生物信息学方法预测hsa-miR-342-3p靶基因及其功能机制。检索PubMed 有关hsa-miR-342-3p的研究报道并进行功能分析;检索miRBase获取hsa-miR-342-3p序列;通过TargetScan, Pictar 和PITA数据库预测靶基因并取交集,对其进行组织和疾病特异性表达谱分析、功能富集分析(GO enrichment analysis)、信号转导通路富集分析(Pathway enrichment analysis)和蛋白质相互作用网络分析(PPI analysis)。结果发现: hsa-miR-342-3p序列在多物种间具有高度保守性; hsa-miR-342-3p在肾脏组织和急性淋巴细胞性白血病、乳腺癌疾病中表达水平较高(RPM≥1 000);预测得到14个hsa-miR-342-3p靶基因;靶基因分子功能分别富集于转化生长因子活性、DNA结合和蛋白激酶激活等(P<0.05); hsa-miR-342-3p靶基因GO生物学过程主要集中于大分子代谢抑制,肺部组织发育、呼吸系统发育及管状组织发育建成(P<0.05);细胞信号通路主要富集于TGF-Beta信号通路、细胞因子、受体作用信号通路及前列腺疾病信号通路(P<0.01)。hsa-miR-342-3p在体内分布广泛,预测的靶向TGF-Beta信号通路可能在疾病发生中发挥重要调控作用,是具有潜在研究价值的生物学靶标。 |
关键词: hsa-miR-342-3p 靶基因 基因本体 信号通路 生物信息学 |
DOI:10.3969/j.issn.1672-5565.2015.04.02 |
分类号:Q343.1 |
基金项目:宁夏医科大学2014年度校级科研项目(XM201401)。 |
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Bioinformatics analysis of hsa-miR-342-3p |
MA Zhanbing1,2,GENG Zhi1,JIAO Haiyan1,2,HUO Zhenghao1,2
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(1. Department of Medical Genetics and Cell Biology,School of Basic Medical Science,Ningxia Medical University,Yinchuan 750004,China;2. Key Lab of Reproduction and Genetics of Ningxia Hui Autonomous Region, Yinchuan 750004,China)
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Abstract: |
To predict the target genes of the hsa-miR-342-3p and its function by bioinformatics analysis. All relevant studies of hsa-miR-342-3p were searched in PubMed and reviewed. The sequence of hsa-miR-342-3p was obtained from miRBase. TargetScan, Pictar and PITA were used to do intersection dataset of the target genes of hsa-miR-342-3p. The bioinformatics analysis of the target genes of hsa-miR-342-3p involved tissue and disease specific expression profile analysis,enrichment (gene ontology, GO), signal transduction pathway enrichment and protein interaction network analyses. The results showed that hsa-miR-342-3p sequences were highly conserved in various species. hsa-miR-342-3p had relatively high expression in kidney and disease of ALL, breast cancer (RPM≥1 000). There were 14 target genes of hsa-miR-342-3p identified. GO analyses showed that hsa-miR-342-3p target genes were enriched in growth factor activity, DNA binding and protein kinase activity (GO molecular function,P<0.05),and enriched in positive regulation of macromolecule metabolic process, lung development, tube development and respiratory tube development (GO biology process,P<0.05); Pathway analyses showed that the target genes set mainly located in TGF-Beta signaling pathway, cytokine-cytokine receptor interaction signaling pathway and prostate disease pathway (P<0.01).The conclusion is hsa-miR-342-3p may be involved in the diseases via TGF-Beta signaling pathway, which might be a potential biological marker for further investigation. |
Key words: Hsa-miR-342-3p Target genes Gene ontology Pathway Bioinformatics |