Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method
- PMID: 15943864
- PMCID: PMC1180435
- DOI: 10.1186/1471-2164-6-88
Prediction and verification of microRNA targets by MovingTargets, a highly adaptable prediction method
Abstract
Background: MicroRNAs (miRNAs) mediate a form of translational regulation in animals. Hundreds of animal miRNAs have been identified, but only a few of their targets are known. Prediction of miRNA targets for translational regulation is challenging, since the interaction with the target mRNA usually occurs via incomplete and interrupted base pairing. Moreover, the rules that govern such interactions are incompletely defined.
Results: MovingTargets is a software program that allows a researcher to predict a set of miRNA targets that satisfy an adjustable set of biological constraints. We used MovingTargets to identify a high-likelihood set of 83 miRNA targets in Drosophila, all of which adhere to strict biological constraints. We tested and verified 3 of these predictions in cultured cells, including a target for the Drosophila let-7 homolog. In addition, we utilized the flexibility of MovingTargets by relaxing the biological constraints to identify and validate miRNAs targeting tramtrack, a gene also known to be subject to translational control dependent on the RNA binding protein Musashi.
Conclusion: MovingTargets is a flexible tool for the accurate prediction of miRNA targets in Drosophila. MovingTargets can be used to conduct a genome-wide search of miRNA targets using all Drosophila miRNAs and potential targets, or it can be used to conduct a focused search for miRNAs targeting a specific gene. In addition, the values for a set of biological constraints used to define a miRNA target are adjustable, allowing the software to incorporate the rules used to characterize a miRNA target as these rules are experimentally determined and interpreted.
Figures


Similar articles
-
Identification of Drosophila MicroRNA targets.PLoS Biol. 2003 Dec;1(3):E60. doi: 10.1371/journal.pbio.0000060. Epub 2003 Oct 13. PLoS Biol. 2003. PMID: 14691535 Free PMC article.
-
MicroRNA targets in Drosophila.Genome Biol. 2003;5(1):R1. doi: 10.1186/gb-2003-5-1-r1. Epub 2003 Dec 12. Genome Biol. 2003. PMID: 14709173 Free PMC article.
-
Prediction of human microRNA targets.Methods Mol Biol. 2006;342:101-13. doi: 10.1385/1-59745-123-1:101. Methods Mol Biol. 2006. PMID: 16957370 Review.
-
Analysis of microRNA-target interactions by a target structure based hybridization model.Pac Symp Biocomput. 2008:64-74. Pac Symp Biocomput. 2008. PMID: 18232104
-
MicroRNA target finding by comparative genomics.Methods Mol Biol. 2014;1097:457-76. doi: 10.1007/978-1-62703-709-9_21. Methods Mol Biol. 2014. PMID: 24639172 Review.
Cited by
-
GraphTar: applying word2vec and graph neural networks to miRNA target prediction.BMC Bioinformatics. 2023 Nov 17;24(1):436. doi: 10.1186/s12859-023-05564-x. BMC Bioinformatics. 2023. PMID: 37978418 Free PMC article.
-
Prediction methods for microRNA targets in bilaterian animals: Toward a better understanding by biologists.Comput Struct Biotechnol J. 2021 Oct 18;19:5811-5825. doi: 10.1016/j.csbj.2021.10.025. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 34765096 Free PMC article. Review.
-
Trans-natural antisense transcripts including noncoding RNAs in 10 species: implications for expression regulation.Nucleic Acids Res. 2008 Sep;36(15):4833-44. doi: 10.1093/nar/gkn470. Epub 2008 Jul 24. Nucleic Acids Res. 2008. PMID: 18653530 Free PMC article.
-
Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer.bioRxiv [Preprint]. 2024 Apr 20:2024.04.15.589599. doi: 10.1101/2024.04.15.589599. bioRxiv. 2024. Update in: Comput Struct Biotechnol J. 2024 Jul 18;23:3020-3029. doi: 10.1016/j.csbj.2024.07.014. PMID: 38659732 Free PMC article. Updated. Preprint.
-
Steroid-induced microRNA let-7 acts as a spatio-temporal code for neuronal cell fate in the developing Drosophila brain.EMBO J. 2012 Dec 12;31(24):4511-23. doi: 10.1038/emboj.2012.298. Epub 2012 Nov 16. EMBO J. 2012. PMID: 23160410 Free PMC article.
References
-
- Pasquinelli AE, Reinhart BJ, Slack F, Martindale MQ, Kuroda MI, Maller B, Hayward DC, Ball EE, Degnan B, Muller P, Spring J, Srinivasan A, Fishman M, Finnerty J, Corbo J, Levine M, Leahy P, Davidson E, Ruvkun G. Conservation of the sequence and temporal expression of let-7 heterochronic regulatory RNA. Nature. 2000;408:86–89. doi: 10.1038/35040556. - DOI - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases