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miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs

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 can...

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Autores principales: Laganà, Alessandro, Acunzo, Mario, Romano, Giulia, Pulvirenti, Alfredo, Veneziano, Dario, Cascione, Luciano, Giugno, Rosalba, Gasparini, Pierluigi, Shasha, Dennis, Ferro, Alfredo, Croce, Carlo Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4027198/
https://www.ncbi.nlm.nih.gov/pubmed/24627222
http://dx.doi.org/10.1093/nar/gku202
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author Laganà, Alessandro
Acunzo, Mario
Romano, Giulia
Pulvirenti, Alfredo
Veneziano, Dario
Cascione, Luciano
Giugno, Rosalba
Gasparini, Pierluigi
Shasha, Dennis
Ferro, Alfredo
Croce, Carlo Maria
author_facet Laganà, Alessandro
Acunzo, Mario
Romano, Giulia
Pulvirenti, Alfredo
Veneziano, Dario
Cascione, Luciano
Giugno, Rosalba
Gasparini, Pierluigi
Shasha, Dennis
Ferro, Alfredo
Croce, Carlo Maria
author_sort Laganà, Alessandro
collection PubMed
description 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).
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spelling pubmed-40271982014-05-28 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 Nucleic Acids Res Computational Biology 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). Oxford University Press 2014-05-01 2014-03-13 /pmc/articles/PMC4027198/ /pubmed/24627222 http://dx.doi.org/10.1093/nar/gku202 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Laganà, Alessandro
Acunzo, Mario
Romano, Giulia
Pulvirenti, Alfredo
Veneziano, Dario
Cascione, Luciano
Giugno, Rosalba
Gasparini, Pierluigi
Shasha, Dennis
Ferro, Alfredo
Croce, Carlo Maria
miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title_full miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title_fullStr miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title_full_unstemmed miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title_short miR-Synth: a computational resource for the design of multi-site multi-target synthetic miRNAs
title_sort mir-synth: a computational resource for the design of multi-site multi-target synthetic mirnas
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4027198/
https://www.ncbi.nlm.nih.gov/pubmed/24627222
http://dx.doi.org/10.1093/nar/gku202
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