Literature DB >> 14670593

Small interfering RNA molecules as potential anti-human rhinovirus agents: in vitro potency, specificity, and mechanism.

Krista M Phipps1, Alejandro Martinez, Jin Lu, Beverly A Heinz, Genshi Zhao.   

Abstract

RNA silencing or interference (RNAi) is a sequence-specific, post-transcriptional process of mRNA degradation. The degradation of target gene mRNA can be induced by short dsRNA molecules (21-25-nt) corresponding to the sequence of the target gene to be silenced. Short dsRNA molecules have been shown to be very effective in inducing RNA silencing in several human cell lines. In this study, we have shown that short dsRNA molecules corresponding to the human rhinovirus-16 (HRV-16) genome induce effective inhibition of the viral replication in cell culture. This inhibition is sequence-specific and dose-dependent. A single or double nucleotide sequence change in an effective dsRNA molecule can significantly reduce the ability of the molecule to induce RNA silencing. Reducing the length of siRNA molecules to 19-nt or shorter abolishes their activity. Therefore, the results of this study demonstrate certain siRNA molecules are inhibitory for the replication of HRV-16 when transfected into human cells; further studies are warranted to explore the potential clinical value of these siRNA molecules as anti-human rhinovirus agents.

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Year:  2004        PMID: 14670593     DOI: 10.1016/j.antiviral.2003.08.005

Source DB:  PubMed          Journal:  Antiviral Res        ISSN: 0166-3542            Impact factor:   5.970


  20 in total

1.  Silencing of hepatitis A virus infection by small interfering RNAs.

Authors:  Yuri Kusov; Tatsuo Kanda; Ann Palmenberg; Jean-Yves Sgro; Verena Gauss-Müller
Journal:  J Virol       Date:  2006-06       Impact factor: 5.103

2.  A morpholino oligomer targeting highly conserved internal ribosome entry site sequence is able to inhibit multiple species of picornavirus.

Authors:  Jeffrey K Stone; Rene Rijnbrand; David A Stein; Yinghong Ma; Yan Yang; Patrick L Iversen; Raul Andino
Journal:  Antimicrob Agents Chemother       Date:  2008-03-17       Impact factor: 5.191

3.  Construction of a multiple targeting RNAi plasmid that inhibits target gene expression and FMDV replication in BHK-21 cells and suckling mice.

Authors:  Wei Cong; Shaoqiang Cui; Jiulian Chen; Xiaoping Zuo; Yonggan Lu; Weiyao Yan; Zhaoxin Zheng
Journal:  Vet Res Commun       Date:  2010-05-07       Impact factor: 2.459

4.  CD147 is a regulatory subunit of the gamma-secretase complex in Alzheimer's disease amyloid beta-peptide production.

Authors:  Shuxia Zhou; Hua Zhou; Peter J Walian; Bing K Jap
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-12       Impact factor: 11.205

5.  An RNA replication-center assay for high content image-based quantifications of human rhinovirus and coxsackievirus infections.

Authors:  Andreas Jurgeit; Stefan Moese; Pascal Roulin; Alexander Dorsch; Mark Lötzerich; Wai-Ming Lee; Urs F Greber
Journal:  Virol J       Date:  2010-10-11       Impact factor: 4.099

6.  Human immunodeficiency virus type 1 escape is restricted when conserved genome sequences are targeted by RNA interference.

Authors:  Karin Jasmijn von Eije; Olivier ter Brake; Ben Berkhout
Journal:  J Virol       Date:  2007-12-12       Impact factor: 5.103

7.  Respiratory viral infections in children with asthma: do they matter and can we prevent them?

Authors:  Hamid Ahanchian; Carmen M Jones; Yueh-sheng Chen; Peter D Sly
Journal:  BMC Pediatr       Date:  2012-09-13       Impact factor: 2.125

8.  Gene silencing in the therapy of influenza and other respiratory diseases: Targeting to RNase P by use of External Guide Sequences (EGS).

Authors:  David H Dreyfus; S Mark Tompkins; Ramsay Fuleihan; Lucy Y Ghoda
Journal:  Biologics       Date:  2007-12

9.  Identification of host miRNAs that may limit human rhinovirus replication.

Authors:  Victor Paky Bondanese; Ana Francisco-Garcia; Nicole Bedke; Donna E Davies; Tilman Sanchez-Elsner
Journal:  World J Biol Chem       Date:  2014-11-26

10.  Approximate Bayesian feature selection on a large meta-dataset offers novel insights on factors that effect siRNA potency.

Authors:  Jochen W Klingelhoefer; Loukas Moutsianas; Chris Holmes
Journal:  Bioinformatics       Date:  2009-05-06       Impact factor: 6.937

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