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Title

 

 

 

 

 

Identification of host encoded microRNAs interacting with novel swine-origin influenza A (H1N1) virus and swine influenza virus

Authors

 

Tao He, Guihai Feng, Huipeng Chen, Li Wang, Yumin Wang*

Affiliation

 

Beijing Institute of Biotechnology, Beijing 100071, China

Email

 

wym66@vip.sina.com

Article Type

 

Hypothesis

Date

 

Received July 10, 2009; Revised August 04, 2009; Accepted August 20, 2009; Published September 30, 2009

Abstract

The discovery of microRNAs (miRNAs) is a remarkable breakthrough in the field of life science, and they are important actors which regulate gene expression in diverse cellular processes. Recently, several reports indicated that miRNAs can also target viruses and regulate virus replication. Here we discovered 36 pig-encoded miRNAs and 22 human-encoded miRNAs which have putative targets in swine influenza virus (SIV) and Swine-Origin 2009 A/H1N1 influenza virus (S-OIV) genes respectively. Interestingly, the putative interactions of ssc-miR-124a, ssc-miR-136 and ssc-miR-145 with their SIV target genes had been found to be maintained almost throughout all of the virus evolution. Enrichment analysis of previously reported miRNA gene expression profiles revealed that three miRNAs are expressed at higher levels in human lung or trachea tissue. The hsa-miR-145 and hsa-miR-92a putatively target the HA gene and hsa-miR-150 putatively targets the PB2 gene. Analysis results based on the location distribution from which virus was isolated and sequence conservation imply that some putative miRNA-mediated host-virus interactions may characterize the location-specificity.

 

Keywords

microRNAs (miRNAs), swine influenza virus, target prediction, virus-host interaction

 

Citation

 

He et al., Bioinformation 4(3): 112-118 (2009)

Edited by

 

P. Kangueane

 

ISSN

 

0973-2063

 

Publisher

 

Biomedical Informatics

License

 

 

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.