![](/images/graphics-bg.png)
Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?
Joint Authors
Masotti, Andrea
Brandi, Rossella
Barbato, Christian
Frizzo, Marcos E.
Arisi, Ivan
Da Sacco, Letizia
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-05-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Barbato, Christian& Arisi, Ivan& Frizzo, Marcos E.& Brandi, Rossella& Da Sacco, Letizia& Masotti, Andrea. 2009. Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?. BioMed Research International،Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-988449
Modern Language Association (MLA)
Barbato, Christian…[et al.]. Computational Challenges in miRNA Target Predictions: To Be or Not to Be a True Target?. BioMed Research International No. 2009 (2009), pp.1-9.
https://search.emarefa.net/detail/BIM-988449
American Medical Association (AMA)
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?. BioMed Research International. 2009. Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-988449
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-988449