Literature DB >> 20558136

Identification of sequence features that predict competition potency of siRNAs.

Xin Li1, Jae Wook Yoo, June Hyung Lee, Yoonsoo Hahn, Soyoun Kim, Dong-Ki Lee.   

Abstract

Small interfering RNAs (siRNAs) specifically knock-down target mRNAs via RNA interference (RNAi) mechanism. During this process, introduction of excess amount of exogenous siRNAs could lead to the saturation of cellular RNAi machinery. One consequence of RNAi machinery saturation is the competition between two simultaneously introduced siRNAs, during which one siRNA loses gene silencing activity. Although competition phenomena have been well characterized, the molecular and sequence features of siRNAs that specify the competition potency remain poorly understood. Here, for the first time, we performed a large-scale siRNA competition potency analysis by measuring the competition potency of 56 different siRNAs and ranking them based on their competition potency. We have also established an algorithm to predict the competition potency of siRNAs based upon the conserved sequence features of strong and weak competitor siRNAs. The present study supports our hypothesis that the competition potency of siRNAs is specified by the 5'-half antisense sequence and provides a useful guideline to design siRNAs with minimal RNAi machinery saturation. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20558136     DOI: 10.1016/j.bbrc.2010.06.041

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  4 in total

1.  Competition between small RNAs: a quantitative view.

Authors:  Adiel Loinger; Yael Shemla; Itamar Simon; Hanah Margalit; Ofer Biham
Journal:  Biophys J       Date:  2012-04-18       Impact factor: 4.033

2.  Modified siRNA structure with a single nucleotide bulge overcomes conventional siRNA-mediated off-target silencing.

Authors:  Pooja Dua; Jae Wook Yoo; Soyoun Kim; Dong-ki Lee
Journal:  Mol Ther       Date:  2011-06-14       Impact factor: 11.454

Review 3.  Synthetic RNAs for Gene Regulation: Design Principles and Computational Tools.

Authors:  Alessandro Laganà; Dennis Shasha; Carlo Maria Croce
Journal:  Front Bioeng Biotechnol       Date:  2014-12-11

4.  Modeling the Kinetics of Lipid-Nanoparticle- Mediated Delivery of Multiple siRNAs to Evaluate the Effect on Competition for Ago2.

Authors:  Radu Mihaila; Dipali Ruhela; Beverly Galinski; Ananda Card; Mark Cancilla; Timothy Shadel; Jing Kang; Samnang Tep; Jie Wei; R Matthew Haas; Jeremy Caldwell; W Michael Flanagan; Nelly Kuklin; Elena Cherkaev; Brandon Ason
Journal:  Mol Ther Nucleic Acids       Date:  2019-03-23
  4 in total

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