期刊检索

  • 2024年第22卷
  • 2023年第21卷
  • 2022年第20卷
  • 2021年第19卷
  • 2020年第18卷
  • 2019年第17卷
  • 2018年第16卷
  • 2017年第15卷
  • 2016年第14卷
  • 2015年第13卷
  • 2014年第12卷
  • 2013年第11卷
  • 第1期
  • 第2期

主管单位 工业和信息化部 主办单位 哈尔滨工业大学 主编 任南琪 国际刊号ISSN 1672-5565 国内刊号CN 23-1513/Q

期刊网站二维码
微信公众号二维码
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.
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 2689次   下载 1964 本文二维码信息
码上扫一扫!
分享到: 微信 更多
hsa-miR-342-3p生物信息学分析
马占兵1,2,耿 芝1,焦海燕1,2,霍正浩1,2
(1.宁夏医科大学基础医学院医学遗传系与细胞生物学系,银川 750004;2.宁夏回族自治区生殖与遗传重点实验室, 银川 750004)
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)。
Bioinformatics analysis of hsa-miR-342-3p
MA Zhanbing1,2,GENG Zhi1,JIAO Haiyan1,2,HUO Zhenghao1,2
(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)
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

友情链接LINKS

关闭