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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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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). |
format | Online Article Text |
id | pubmed-4027198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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