Computational Prediction of Functional MicroRNA–mRNA Interactions

Müşerref D. Saçar Demirci, , Malik Yousef, Jens Allmer

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Proteins have a strong influence on the phenotype and their aberrant expression leads to diseases. MicroRNAs (miRNAs) are short RNA sequences which posttranscriptionally regulate protein expression. This regulation is driven by miRNAs acting as recognition sequences for their target mRNAs within a larger regulatory machinery. A miRNA can have many target mRNAs and an mRNA can be targeted by many miRNAs which makes it difficult to experimentally discover all miRNA–mRNA interactions. Therefore, computational methods have been developed for miRNA detection and miRNA target prediction. An abundance of available computational tools makes selection difficult. Additionally, interactions are not currently the focus of investigation although they more accurately define the regulation than pre-miRNA detection or target prediction could perform alone. We define an interaction including the miRNA source and the mRNA target. We present computational methods allowing the investigation of these interactions as well as how they can be used to extend regulatory pathways. Finally, we present a list of points that should be taken into account when investigating miRNA–mRNA interactions. In the future, this may lead to better understanding of functional interactions which may pave the way for disease marker discovery and design of miRNA-based drugs.
LanguageEnglish
Title of host publicationComputational Biology of Non-Coding RNA
Place of PublicationNew York
PublisherSpringer
Pages175-196
ISBN (Electronic)9781493989829
ISBN (Print)9781493989812
DOIs
Publication statusE-pub ahead of print - 12 Jan 2019

Publication series

NameMethods in Molecular Biology
Volume1912
ISSN (Electronic)1940-6029

Fingerprint

MicroRNAs
Messenger RNA
Proteins
Phenotype

Cite this

Saçar Demirci, , M. D., Yousef, M., & Allmer, J. (2019). Computational Prediction of Functional MicroRNA–mRNA Interactions. In Computational Biology of Non-Coding RNA (pp. 175-196). (Methods in Molecular Biology; Vol. 1912). New York: Springer. https://doi.org/10.1007/978-1-4939-8982-9_7
Saçar Demirci, , Müşerref D. ; Yousef, Malik ; Allmer, Jens. / Computational Prediction of Functional MicroRNA–mRNA Interactions. Computational Biology of Non-Coding RNA. New York : Springer, 2019. pp. 175-196 (Methods in Molecular Biology).
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Saçar Demirci, , MD, Yousef, M & Allmer, J 2019, Computational Prediction of Functional MicroRNA–mRNA Interactions. in Computational Biology of Non-Coding RNA. Methods in Molecular Biology, vol. 1912, Springer, New York, pp. 175-196. https://doi.org/10.1007/978-1-4939-8982-9_7

Computational Prediction of Functional MicroRNA–mRNA Interactions. / Saçar Demirci, , Müşerref D.; Yousef, Malik; Allmer, Jens.

Computational Biology of Non-Coding RNA. New York : Springer, 2019. p. 175-196 (Methods in Molecular Biology; Vol. 1912).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Saçar Demirci, MD, Yousef M, Allmer J. Computational Prediction of Functional MicroRNA–mRNA Interactions. In Computational Biology of Non-Coding RNA. New York: Springer. 2019. p. 175-196. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-8982-9_7