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Nucleic Acids Research 2005 33(Database Issue):D108-D111; doi:10.1093/nar/gki131
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Nucleic Acids Research, 2005, Vol. 33, Database issue D108-D111
© 2005, the authors
Nucleic Acids Research, Vol. 33, Database issue © Oxford University Press 2005; all rights reserved

HuSiDa—the human siRNA database: an open-access database for published functional siRNA sequences and technical details of efficient transfer into recipient cells

Matthias Truss*, Maciej Swat2, Szymon M. Kielbasa2, Reinhold Schäfer1, Hanspeter Herzel2 and Christian Hagemeier

Department of Pediatrics, Laboratory for Molecular Biology and 1 Laboratory of Molecular Tumor Pathology, Institute of Pathology, Charité, Universitätsmedizin–Berlin, Germany and 2 Institute for Theoretical Biology, Humboldt-University, Berlin, Germany

* To whom correspondence should be addressed. Tel: +49 3 0450 566197; Fax: +49 3 0450 566913; Email: Matthias.Truss{at}Charite.de

Received August 15, 2004; Revised and Accepted October 25, 2004

Small interfering RNAs (siRNAs) have become a standard tool in functional genomics. Once incorporated into the RNA-induced silencing complex (RISC), siRNAs mediate the specific recognition of corresponding target mRNAs and their cleavage. However, only a small fraction of randomly chosen siRNA sequences is able to induce efficient gene silencing. In common laboratory practice, successful RNA interference experiments typically require both, the labour and cost-intensive identification of an active siRNA sequence and the optimization of target cell line-specific procedures for optimal siRNA delivery. To optimize the design and performance of siRNA experiments, we have established the human siRNA database (HuSiDa). The database provides sequences of published functional siRNA molecules targeting human genes and important technical details of the corresponding gene silencing experiments, including the mode of siRNA generation, recipient cell lines, transfection reagents and procedures and direct links to published references (PubMed). The database can be accessed at http://www.human-siRNA-database.net. We used the siRNA sequence information stored in the database for scrutinizing published sequence selection parameters for efficient gene silencing.


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