siRecords: a database of mammalian RNAi experiments and efficacies

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.

[1]  Volker A Erdmann,et al.  Local RNA target structure influences siRNA efficacy: systematic analysis of intentionally designed binding regions. , 2005, Journal of molecular biology.

[2]  Zuoshang Xu,et al.  Promises and Challenges in Developing RNAi as a Research Tool and Therapy for Neurodegenerative Diseases , 2006, Neurodegenerative Diseases.

[3]  W. Wurst,et al.  RNA interference in mice. , 2007, Handbook of experimental pharmacology.

[4]  Jens Kurreck,et al.  siRNA Efficiency: Structure or Sequence—That Is the Question , 2006, Journal of biomedicine & biotechnology.

[5]  L. Klein-Hitpass,et al.  WT1 and BCR-ABL specific small interfering RNA have additive effects in the induction of apoptosis in leukemic cells. , 2005, Haematologica.

[6]  Luquan Wang,et al.  A Web-based design center for vector-based siRNA and siRNA cassette , 2004, Bioinform..

[7]  Kazunari Taira,et al.  Molecular design and delivery of siRNA , 2006, Journal of drug targeting.

[8]  Chi Yu Chan,et al.  Effect of target secondary structure on RNAi efficiency. , 2007, RNA.

[9]  Vadim Iourgenko,et al.  RNA interference technologies and their use in cancer research , 2007, Current opinion in oncology.

[10]  Fabio Piano,et al.  RNAi as a tool to study cell biology: building the genome-phenome bridge. , 2005, Current opinion in cell biology.

[11]  Stefan L Ameres,et al.  The impact of target site accessibility on the design of effective siRNAs , 2008, Nature Biotechnology.

[12]  A. Fire,et al.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans , 1998, Nature.

[13]  Wenwu Cui,et al.  OptiRNAi, an RNAi design tool , 2004, Comput. Methods Programs Biomed..

[14]  Kenneth W. Young,et al.  Altered Expression of Gq/11α Protein Shapes mGlu1 and mGlu5 Receptor-Mediated Single Cell Inositol 1,4,5-Trisphosphate and Ca2+ Signaling , 2006, Molecular Pharmacology.

[15]  A. Reynolds,et al.  A protocol for designing siRNAs with high functionality and specificity , 2007, Nature Protocols.

[16]  Mark A Behlke,et al.  Design of active small interfering RNAs. , 2007, Current opinion in molecular therapeutics.

[17]  Ola Snøve,et al.  A comparison of siRNA efficacy predictors. , 2004, Biochemical and biophysical research communications.

[18]  G. Devi,et al.  siRNA-based approaches in cancer therapy , 2006, Cancer Gene Therapy.

[19]  L. Nicholson,et al.  RNA interference mediated in human primary cells via recombinant baculoviral vectors. , 2005, Molecular therapy : the journal of the American Society of Gene Therapy.

[20]  J. Manola,et al.  A library of siRNA duplexes targeting the phosphoinositide 3-kinase pathway: determinants of gene silencing for use in cell-based screens. , 2004, Nucleic acids research.

[21]  Michael T. McManus,et al.  Small Interfering RNA-Mediated Gene Silencing in T Lymphocytes1 , 2002, The Journal of Immunology.

[22]  Tongbin Li,et al.  siDRM: an effective and generally applicable online siRNA design tool , 2008, Bioinform..

[23]  Michael T. McManus,et al.  Gene silencing in mammals by small interfering RNAs , 2002, Nature Reviews Genetics.

[24]  S. Jayasena,et al.  Functional siRNAs and miRNAs Exhibit Strand Bias , 2003, Cell.

[25]  Jürgen Bereiter-Hahn,et al.  Effect of RNA silencing of polo-like kinase-1 (PLK1) on apoptosis and spindle formation in human cancer cells. , 2002, Journal of the National Cancer Institute.

[26]  Ran Guan,et al.  Small interfering RNA-mediated Polo-like kinase 1 depletion preferentially reduces the survival of p53-defective, oncogenic transformed cells and inhibits tumor growth in animals. , 2005, Cancer research.

[27]  M. Amarzguioui,et al.  An algorithm for selection of functional siRNA sequences. , 2004, Biochemical and biophysical research communications.

[28]  John J. Rossi,et al.  Strategies for silencing human disease using RNA interference , 2007, Nature Reviews Genetics.

[29]  Dong Lin,et al.  Integrated siRNA design based on surveying of features associated with high RNAi effectiveness , 2006, BMC Bioinformatics.

[30]  Judy Lieberman,et al.  Interfering with disease: a progress report on siRNA-based therapeutics , 2007, Nature Reviews Drug Discovery.

[31]  Christiane Garbay,et al.  Short interfering RNA (siRNA), a novel therapeutic tool acting on angiogenesis. , 2007, Biochimie.

[32]  P. Sætrom,et al.  Comparison of approaches for rational siRNA design leading to a new efficient and transparent method , 2007, Nucleic acids research.

[33]  M. Amarzguioui,et al.  Positional effects of short interfering RNAs targeting the human coagulation trigger Tissue Factor. , 2002, Nucleic acids research.

[34]  Vivek Mittal,et al.  Improving the efficiency of RNA interference in mammals , 2004, Nature Reviews Genetics.

[35]  A. Reynolds,et al.  Rational siRNA design for RNA interference , 2004, Nature Biotechnology.

[36]  Erik L L Sonnhammer,et al.  Improved and automated prediction of effective siRNA. , 2004, Biochemical and biophysical research communications.

[37]  Laura Mariani,et al.  The energy profiling of short interfering RNAs is highly predictive of their activity. , 2004, Oligonucleotides.

[38]  V. Patzel In silico selection of active siRNA. , 2007, Drug discovery today.

[39]  J. Kew,et al.  Altered expression of G(q/11alpha) protein shapes mGlu1 and mGlu5 receptor-mediated single cell inositol 1,4,5-trisphosphate and Ca(2+) signaling. , 2006, Molecular pharmacology.

[40]  A. Konagaya,et al.  An Effective Method for Selecting siRNA Target Sequences in Mammalian Cells , 2004, Cell cycle.