基于生物信息学的hsa-miR-32靶基因预测与功能分析

彭璨璨; 马文丽; 夏巍; 黄正亮; 郑文岭

doi:10.16462/j.cnki.zhjbkz.2016.06.017

基于生物信息学的hsa-miR-32靶基因预测与功能分析

doi: 10.16462/j.cnki.zhjbkz.2016.06.017

彭璨璨¹,
马文丽^1, ,,
夏巍²,
黄正亮¹,
郑文岭^1, ,

1. 南方医科大学基础医学院基因工程研究所, 广东广州 510515;
2. 解放军第421医院检验输血科, 广东广州 510318

基金项目:

国家自然科学基金（39880032）；广东省领军人才基金（C1030925）

详细信息

作者简介:
彭璨璨(1991-),女,广东清远人,在读硕士研究生。主要研究方向:基因芯片与生物信息学。

中图分类号: R349.6;R349.64
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出版历程
- 收稿日期: 2015-12-24
- 修回日期: 2016-03-27

Bioinformatics analysis and prediction of hsa-miR-32 target genes

1. Institute of Genetic Engineering, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China;
2. Department of Clinical Laboratory, NO. 421 Hospital of PLA, Guangzhou 510318, China

摘要

摘要: 目的利用生物信息学方法，预测hsa-miR-32的靶基因并分析其功能，为深入研究其生物学功能提供指导和思路。方法利用miRBase数据库获取并分析不同物种的miR-32序列特征；从公共GEO（gene expression omnibus,GEO）数据库中下载不同疾病相关的microRNA表达谱芯片数据，通过miRGator v3.0在线工具和Qlucore Omics Explorer 3.0软件分析hsa-miR-32在不同疾病组织中表达情况；并用PicTar、DIANA-microT-CDS 7.0、PITA及miRanda等方法预测hsa-miR-32靶基因，对获得的靶基因集合分别进行功能富集分析（gene ontology analysis）和生物通路富集分析（pathway enrichment analysis）。结果 miR-32在不同物种间高度保守。与癌旁正常组织相比，hsa-miR-32在子宫癌、结直肠癌、胰腺癌、前列腺癌、乳腺癌等多种癌组织中表达异常（均有P<0.05）。包括已被证实的靶基因，共得到168个候选基因，这些靶基因主要参与调控基因表达、细胞增殖、信号转导、细胞死亡等生物学过程（均有P<0.05），涉及小细胞肺癌、前列腺癌、胶质瘤、黑素瘤等疾病相关通路，以及p53等肿瘤相关信号通路和细胞周期等信号转导通路（均有P<0.05）。结论 hsa-miR-32功能广泛，与癌症的发生、发展密切相关。
- 癌 /
- 基因 /
- 计算生物学 /
- 预测
Abstract: Objective Bioinformatics software and database were applied to predict and analyze target genes and functions of hsa-miR-32, in order to provide a basis for the study of the mechanism of hsa-miR-32 and its target genes in cancer. Methods The sequence of miR-32 was got from miRBase database. The microarray data of disease were downloaded from the Gene Expression Omnibus(GEO) and the expression level of hsa-miR-32 in disease was analysed by miRGator and Qlucore Omics Explorer. PicTar, DIANA-microT-CDS, PITA and miRanda algorithm were used to predict target genes of hsa-miR-32. Combined with validated target genes, the gene set was analyzed by gene ontology(GO) and pathway enrichment. Results miR-32 was highly conserved among different species. Different expression levels of hsa-miR-32 were observed in different cancer tissues compared with adjacent normal tissues(all P<0.05). Gene ontology analysis indicated that 168 target genes were mainly enriched in positive regulation of gene expression, negative regulation of cell proliferation, negative regulation of signal transduction, cell death and other biology processes(all P<0.05). KEGG pathway analysis showed that these genes were mostly involved in small cell lung cancer, prostate cancer, glioma, melanoma, pathways in cancer, p53 signaling pathway and cell cycle(all P<0.05). Conclusions The target genes of hsa-miR-32 may have extensive functions and be closely related with cancer.
- Carcinoma /
- Genes /
- Computational biology /
- Forecasting

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