生物信息学分析及预测miR-17-92的分子调控网络

中国生物工程杂志

2012, Vol. 32

Issue (03): 69-75

技术与方法

生物信息学分析及预测miR-17-92的分子调控网络

申健, 张越, 潘秋辉, 孙奋勇

暨南大学生命科学技术学院生物工程研究所广州 510632

Bioinformatics Analysis and Prediction of miR-17-92 Cluster Mediated Regulatory Network

SHEN Jian, ZHANG Yue, PAN Qiu-hui, SUN Fen-yong

Institute of Genetic Engineering, Jinan University, Guangzhou 510632, China

全文: PDF(707 KB) HTML

摘要：

miR-17-92是一个高度保守的基因家簇,参与哺乳动物多个器官发育并与多种实体瘤的发生密切相关。运用多个在线数据库,发现了miR-17-92的上游转录因子及下游靶基因间的多个前馈和反馈环路。并对参与miR-17-92调控环路的基因进行功能聚类分析,进而绘制出miR-17-92的核心调控网络图。结果提示miR-17-92与其上游转录因子共调控的靶基因可能参与了生物体的细胞周期调控,迁移、凋亡、激素应答、免疫系统发育等多种生物学过程,KEGG pathway分析提示其还与多种肿瘤信号通路密切相关。因此,对miR-17-92分子调控网络生物信息学的分析可以有助于理解其在细胞发育和肿瘤发生过程中的作用机制并为后续实验验证提供良好的指导。

关键词： 生物信息学分析; microRNA前馈环路; microRNA反馈环路; 基因注释富集分析

Abstract:

miR-17-92 cluster is highly conserved and involved in the development of diverse organs and solid tumors in mammal. Several transcriptional factors and target genes are found, which regulated and be regulated by miR-17-92, formed some feed-forward and feed-back loops via different online databases. After functional cluster analysis of genes involved in the circus regulated by miR-17-92, the regulation network responses to miR-17-92 has been drafted out. The anlysis indicates that the jointargets of miR-17-92 and its upstream transcriptional factors may play important roles in the biological processes such as cell cycle, metastasis, apoptosis, hormone responses and the development of immune system. KEGG pathway analysis also implied that it was related to many signalling pathways in tumors. The study will be a good guideline for the further research and provide great facility for understanding the mechanism of cell development and tumorousgenesis.

Key words: Bioinformatics analysis MicroRNA feed-back loops MicroRNA feed-forward loops Gene annotation enrichment analysis

收稿日期: 2011-01-25 出版日期: 2012-03-25

ZTFLH:

基金资助:

国家自然科学基金资助项目(81071524)

通讯作者: 孙奋勇,sunfenyong@263.net E-mail: sunfenyong@263.net

	服务
	把本文推荐给朋友
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

引用本文:

申健, 张越, 潘秋辉, 孙奋勇. 生物信息学分析及预测miR-17-92的分子调控网络[J]. 中国生物工程杂志, 2012, 32(03): 69-75.

SHEN Jian, ZHANG Yue, PAN Qiu-hui, SUN Fen-yong. Bioinformatics Analysis and Prediction of miR-17-92 Cluster Mediated Regulatory Network. China Biotechnology, 2012, 32(03): 69-75.

链接本文:

https://manu60.magtech.com.cn/biotech/CN/ 或 https://manu60.magtech.com.cn/biotech/CN/Y2012/V32/I03/69

[1] Bartel D P. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell, 2004, 116(2): 281-297.

[2] Urbich C, Kuehbacher A, Dimmeler S. Role of microRNAs in vascular diseases, inflammation, and angiogenesis. Cardiovasc Res, 2008, 79(4): 581-588.

[3] Zhang Z W, An Y, Teng C B. The roles of miR-17-92 cluster in mammal development and tumorigenesis. Yi Chuan, 2009, 31(11): 1094-1100.

[4] Wang J, Lu M, Qiu C, et al. TransmiR: a transcription factor-microRNA regulation database. Nucleic Acids Res, 2010, 38(Database issue): D119-D122.

[5] Wasserman W W, Sandelin A. Applied bioinformatics for the identification of regulatory elements. Nat Rev Genet, 2004, 5(4): 276-287.

[6] Re A, Cora D, Taverna D, et al. Genome-wide survey of microRNA-transcription factor feed-forward regulatory circuits in human. Mol Biosyst, 2009, 5(8): 854-867.

[7] Sherman B T, Huang D W, Tan Q, et al. DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput gene functional analysis. BMC Bioinformatics, 2007, 8(1): 426.

[8] Martinez N J, Ow M C, Barrasa M I, et al. A C. elegans genome-scale microRNA network contains composite feedback motifs with high flux capacity. Genes Dev, 2008, 22(18): 2535-2549.

[9] Alon U. Network motifs: theory and experimental approaches. Nat Rev Genet, 2007, 8(6): 450-461.

[10] Tsang J, Zhu J, van Oudenaarden A. MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. Mol Cell, 2007, 26(5): 753-767.

[11] Liang H, Li W H. MicroRNA regulation of human protein protein interaction network. RNA, 2007, 13(9): 1402-1408.

[12] Mendell J T. miRiad roles for the miR-17-92 cluster in development and disease. Cell, 2008, 133(2): 217-222.

[13] O'Donnell K A, Wentzel E A, Zeller K I, et al. c-Myc-regulated microRNAs modulate E2F1 expression. Nature, 2005, 435(7043): 839-843.

[14] Aguda B D, Kim Y, Piper-Hunter M G, et al. MicroRNA regulation of a cancer network: consequences of the feedback loops involving miR-17-92, E2F, and Myc. Proc Natl Acad Sci U S A, 2008, 105(50): 19678-19683.

[1]	何石宝, 杨成飞, 尚杉, 王凌燕, 唐文超, 朱勇. *家蚕保幼激素结合蛋白Bmtol基因的克隆及表达分析*[J]. 中国生物工程杂志, 2017, 37(10): 16-25.
[2]	E Guang-xin, LIU Di, ZHANG Dong-jie, CUI Yu. *猪精氨酸-丝氨酸蛋白激酸3(SRPK3)基因的克隆、表达及多态性分析*[J]. 中国生物工程杂志, 2011, 31(03): 46-54.
[3]	李建霞,苗向阳,任慧英,于忠娜. 抗口蹄疫病毒相关基因的筛选及分析[J]. 中国生物工程杂志, 2008, 28(7): 48-52.

Viewed

Full text

Abstract

Cited

Shared

Discussed