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

BioMed Research International

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

Medicine

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