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

China Biotechnology

2012, Vol. 32

Issue (03): 69-75 DOI:

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

Download:

HTML

PDF(707KB) HTML
Export: BibTeX | EndNote (RIS)

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

Received: 25 January 2011 Published: 25 March 2012

ZTFLH:

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

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.

URL:

https://manu60.magtech.com.cn/biotech/ OR https://manu60.magtech.com.cn/biotech/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]	HE Shi-bao, YANG Cheng-fei, SHANG Sha, WANG Ling-yan, TANG Wen-chao, ZHU Yong. Cloning and Expression Analysis of Juvenile Hormone Binding Protein Gene Bmtol in Silkworm,Bombyx mori[J]. China Biotechnology, 2017, 37(10): 16-25.

[2]	E Guang-xin, LIU Di, ZHANG Dong-jie, CUI Yu. *Cloning, Expression and Polymorphism Analysis of Porcine SRPK3* Gene**[J]. China Biotechnology, 2011, 31(03): 46-54.

Viewed

Full text

Abstract

Cited

Shared

Discussed