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BMC Bioinformatics

, 8:178

First Online: 31 May 2007Received: 27 July 2006Accepted: 31 May 2007

Abstract

BackgroundRNA interference has revolutionized our ability to study the effects of altering the expression of single genes in mammalian and other cells through targeted knockdown of gene expression. In this report we describe a web-based computational tool, siRNA Information Resource sIR, which consists of a new open source database that contains validation information about published siRNA sequences and also provides a user-friendly interface to design and analyze siRNA sequences against a chosen target sequence.

ResultsThe siRNA design tool described in this paper employs empirically determined rules derived from a meta-analysis of the published data; it uses a weighted scoring system that determines the optimal sequence within a target mRNA and thus aids in the rational selection of siRNA sequences. This scoring system shows a non-linear correlation with the knockdown efficiency of siRNAs. sIR provides a fast, customized BLAST output for all selected siRNA sequences against a variety of databases so that the user can verify the uniqueness of the design. We have pre-designed siRNAs for all the known human genes 24,502 in the Refseq database. These siRNAs were pre-BLASTed against the human Unigene database to estimate the target specificity and all results are available online.

ConclusionAlthough most of the rules for this scoring system were influenced by previously published rules, the weighted scoring system provides better flexibility in designing an appropriate siRNA when compared to the un-weighted scoring system. sIR is not only a comprehensive tool used to design siRNA sequences and lookup pre-designed siRNAs, but it is also a platform where researchers can share information on siRNA design and use.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2105-8-178 contains supplementary material, which is available to authorized users.

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Autor: Jyoti K Shah - Harold R Garner - Michael A White - David S Shames - John D Minna

Fuente: https://link.springer.com/



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