Analysis of human encoded microRNAs targeting the gene segments of H7N9 by bioinformatics
10.3760/cma.j.issn.1003-9279.2015.01.011
- VernacularTitle:靶向流感病毒H7N9基因片段的人编码microRNA的生物信息学分析
- Author:
Shaobo ZHANG
1
;
Dayong GU
;
Weidong XIE
;
Yaou ZHANG
;
Yulong LIN
Author Information
1. 南方医科大学珠江医院
- Keywords:
RNA;
Genes;
Computational biology
- From:
Chinese Journal of Experimental and Clinical Virology
2015;29(1):32-34
- CountryChina
- Language:Chinese
-
Abstract:
Objective To predict human encoded microRNAs (miRNA) targeting the gene segments of influenza A virus (H7N9) by bioinformatics.Methods Based on the conserved regions of gene segments (HA,NA,PB2,PA and PB1-F2) from H7N9,miRBase were screened for all human encoded miRNAs that had targets in these regions by miRNA prediction software (FindTar3) and their expression enrichment in A549 of lung was analyzed subsequently through online database (microRNA.org).The optimal human encoded miRNAs that may regulate the gene segments were picked out via comprehensive evaluation of the thermodynamic free energy of target regions and the expression level in A549.Result The number of miRNAs whose matching genes of seed regions were located in the conserved regions of gene segments were as follows:51 (HA),37 (NA),29 (PB2),19 (PA) and 26 (PB1-F2).After the analysis of miRNA expression level in A549,four miRNAs that have relative high expression enrichment and small thermodynamic free energy were regarded as the optimal human encoded miRNAs regulating the gene segments of H7N9:hsa-miR-16 (HA and PB2),hsa-miR-21 (NA),hsa-miR-9 (PA) and hsa-miR-193b (PB1-F2).Conclusion Predicting miRNAs targeting the gene segments of viruses in specific tissues or cells through rational utilization of bioinformatics provides a new way to find more reliable aimed miRNAs for laboratorial basic research and clinical treatment.
