Literature DB >> 15625918

The energy profiling of short interfering RNAs is highly predictive of their activity.

Laura Poliseno1, Monica Evangelista, Alberto Mercatanti, Laura Mariani, Lorenzo Citti, Giuseppe Rainaldi.   

Abstract

The technology of knockdown of gene expression by synthetic short interfering RNAs (siRNAs) is currently diffused because of its relative simplicity and reliability. Despite the claims that active siRNAs can be easily identified, how to select active siRNAs with high efficiency it is not fully defined. Here, we report that energy profiling can be used in the guidelines for siRNA design.

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Year:  2004        PMID： 15625918     DOI： 10.1089/oli.2004.14.227

Source DB:  PubMed          Journal:  Oligonucleotides        ISSN： 1545-4576


  6 in total

1.  Role of E2F1-cyclin E1-cyclin E2 circuit in human coronary smooth muscle cell proliferation and therapeutic potential of its downregulation by siRNAs.

Authors:  Barbara Dapas; Rossella Farra; Mario Grassi; Carlo Giansante; Nicola Fiotti; Laura Uxa; Giuseppe Rainaldi; Alberto Mercatanti; Alfonso Colombatti; Paola Spessotto; Valentina Lacovich; Gianfranco Guarnieri; Gabriele Grassi
Journal:  Mol Med       Date:  2009-06-25       Impact factor: 6.354

2.  Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

Authors:  Kyle A McQuisten; Andrew S Peek
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

3.  Integrated siRNA design based on surveying of features associated with high RNAi effectiveness.

Authors:  Wuming Gong; Yongliang Ren; Qiqi Xu; Yejun Wang; Dong Lin; Haiyan Zhou; Tongbin Li
Journal:  BMC Bioinformatics       Date:  2006-11-27       Impact factor: 3.169

4.  siRecords: a database of mammalian RNAi experiments and efficacies.

Authors:  Yongliang Ren; Wuming Gong; Haiyan Zhou; Yejun Wang; Feifei Xiao; Tongbin Li
Journal:  Nucleic Acids Res       Date:  2008-11-07       Impact factor: 16.971

5.  sIR: siRNA Information Resource, a web-based tool for siRNA sequence design and analysis and an open access siRNA database.

Authors:  Jyoti K Shah; Harold R Garner; Michael A White; David S Shames; John D Minna
Journal:  BMC Bioinformatics       Date:  2007-05-31       Impact factor: 3.169

6.  T3 Critically Affects the Mhrt/Brg1 Axis to Regulate the Cardiac MHC Switch: Role of an Epigenetic Cross-Talk.

Authors:  Francesca Forini; Giuseppina Nicolini; Claudia Kusmic; Romina D'Aurizio; Alberto Mercatanti; Giorgio Iervasi; Letizia Pitto
Journal:  Cells       Date:  2020-09-24       Impact factor: 6.600
  6 in total

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