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miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs.
Laganà, Alessandro; Acunzo, Mario; Romano, Giulia; Pulvirenti, Alfredo; Veneziano, Dario; Cascione, Luciano; Giugno, Rosalba; Gasparini, Pierluigi; Shasha, Dennis; Ferro, Alfredo; Croce, Carlo Maria.
Afiliación
  • Laganà A; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA alessandro.lagana@osumc.edu.
  • Acunzo M; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA.
  • Romano G; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA.
  • Pulvirenti A; Department of Clinical and Molecular Biomedicine, University of Catania, 95100 Italy.
  • Veneziano D; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA Department of Clinical and Molecular Biomedicine, University of Catania, 95100 Italy.
  • Cascione L; IOR-Institute of Oncology Research, Bellinzona, 6500 Switzerland.
  • Giugno R; Department of Clinical and Molecular Biomedicine, University of Catania, 95100 Italy.
  • Gasparini P; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA.
  • Shasha D; Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012 USA.
  • Ferro A; Department of Clinical and Molecular Biomedicine, University of Catania, 95100 Italy.
  • Croce CM; Department of Molecular Virology, Immunology and Medical Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210 USA.
Nucleic Acids Res ; 42(9): 5416-25, 2014 May.
Article en En | MEDLINE | ID: mdl-24627222
RNAi is a powerful tool for the regulation of gene expression. It is widely and successfully employed in functional studies and is now emerging as a promising therapeutic approach. Several RNAi-based clinical trials suggest encouraging results in the treatment of a variety of diseases, including cancer. Here we present miR-Synth, a computational resource for the design of synthetic microRNAs able to target multiple genes in multiple sites. The proposed strategy constitutes a valid alternative to the use of siRNA, allowing the employment of a fewer number of molecules for the inhibition of multiple targets. This may represent a great advantage in designing therapies for diseases caused by crucial cellular pathways altered by multiple dysregulated genes. The system has been successfully validated on two of the most prominent genes associated to lung cancer, c-MET and Epidermal Growth Factor Receptor (EGFR). (See http://microrna.osumc.edu/mir-synth).
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / MicroARNs / Técnicas de Silenciamiento del Gen Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2014 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Programas Informáticos / MicroARNs / Técnicas de Silenciamiento del Gen Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2014 Tipo del documento: Article