siRecords: A database of mammalian RNAi experiments and efficacies

Yongliang Ren, Wuming Gong, Haiyan Zhou, Yejun Wang, Feifei Xiao, Tongbin Li

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

RNAi-based gene-silencing techniques offer a fast and cost-effective way of knocking down genes' functions in an easily regulated manner. Exciting progress has been made in recent years in the application of these techniques in basic biomedical research and therapeutic development. However, it remains a difficult task to design effective siRNA experiments with high efficacy and specificity. We present siRecords, an extensive database of mammalian RNAi experiments with consistent efficacy ratings. This database serves two purposes. First, it provides a large and diverse dataset of siRNA experiments. This dataset faithfully represents the general, diverse RNAi experimental practice, and allows more reliable siRNA design tools to be developed with the overfitting problem well curbed. Second, the database helps experimental RNAi researchers directly by providing them with the efficacy and other information about the siRNAs experiments designed and conducted previously against the genes of their interest. The current release of siRecords contains the records of 17 192 RNAi experiments targeting 5086 genes.

Original languageEnglish (US)
Pages (from-to)D146-D149
JournalNucleic acids research
Volume37
Issue numberSUPPL. 1
DOIs
StatePublished - 2009

Bibliographical note

Funding Information:
University of Minnesota Graduate School and Minnesota Medical Foundation (partial); NIH/NCI (1R21CA126209, 4R33CA126209) (to T.L.). Funding for open access charge: NIH/NCI

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