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Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?

All microRNA (miRNA) target—finder algorithms return lists of candidate target genes. How valid is that output in a biological setting? Transcriptome analysis has proven to be a useful approach to determine mRNA targets. Time course mRNA microarray experiments may reliably identify downregulated gen...

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Detalles Bibliográficos
Autores principales: Barbato, Christian, Arisi, Ivan, Frizzo, Marcos E., Brandi, Rossella, Da Sacco, Letizia, Masotti, Andrea
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2699446/
https://www.ncbi.nlm.nih.gov/pubmed/19551154
http://dx.doi.org/10.1155/2009/803069
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author Barbato, Christian
Arisi, Ivan
Frizzo, Marcos E.
Brandi, Rossella
Da Sacco, Letizia
Masotti, Andrea
author_facet Barbato, Christian
Arisi, Ivan
Frizzo, Marcos E.
Brandi, Rossella
Da Sacco, Letizia
Masotti, Andrea
author_sort Barbato, Christian
collection PubMed
description All microRNA (miRNA) target—finder algorithms return lists of candidate target genes. How valid is that output in a biological setting? Transcriptome analysis has proven to be a useful approach to determine mRNA targets. Time course mRNA microarray experiments may reliably identify downregulated genes in response to overexpression of specific miRNA. The approach may miss some miRNA targets that are principally downregulated at the protein level. However, the high-throughput capacity of the assay makes it an effective tool to rapidly identify a large number of promising miRNA targets. Finally, loss and gain of function miRNA genetics have the clear potential of being critical in evaluating the biological relevance of thousands of target genes predicted by bioinformatic studies and to test the degree to which miRNA-mediated regulation of any “validated” target functionally matters to the animal or plant.
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spelling pubmed-26994462009-06-23 Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target? Barbato, Christian Arisi, Ivan Frizzo, Marcos E. Brandi, Rossella Da Sacco, Letizia Masotti, Andrea J Biomed Biotechnol Review Article All microRNA (miRNA) target—finder algorithms return lists of candidate target genes. How valid is that output in a biological setting? Transcriptome analysis has proven to be a useful approach to determine mRNA targets. Time course mRNA microarray experiments may reliably identify downregulated genes in response to overexpression of specific miRNA. The approach may miss some miRNA targets that are principally downregulated at the protein level. However, the high-throughput capacity of the assay makes it an effective tool to rapidly identify a large number of promising miRNA targets. Finally, loss and gain of function miRNA genetics have the clear potential of being critical in evaluating the biological relevance of thousands of target genes predicted by bioinformatic studies and to test the degree to which miRNA-mediated regulation of any “validated” target functionally matters to the animal or plant. Hindawi Publishing Corporation 2009 2009-06-17 /pmc/articles/PMC2699446/ /pubmed/19551154 http://dx.doi.org/10.1155/2009/803069 Text en Copyright © 2009 Christian Barbato et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Barbato, Christian
Arisi, Ivan
Frizzo, Marcos E.
Brandi, Rossella
Da Sacco, Letizia
Masotti, Andrea
Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title_full Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title_fullStr Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title_full_unstemmed Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title_short Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
title_sort computational challenges in mirna target predictions: to be or not to be a true target?
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2699446/
https://www.ncbi.nlm.nih.gov/pubmed/19551154
http://dx.doi.org/10.1155/2009/803069
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