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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2009
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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. |
format | Text |
id | pubmed-2699446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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