ArticleGenome biology2018
Predicting microRNA targeting efficacy in Drosophila.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.
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Who cites it
77 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The genetic and biochemical determinants of mRNA degradation rates in mammals.Genome biology · 2022Pooled it
- A hybrid transcriptome assembly reveals coding and noncoding landscapes in Drosophila hemocytes.Genetics · 2026Article
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- Adipose Dicer-1 modulates systemic insulin signaling and longevity via a miR-8-Aop-Dilp6 axis.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Endogenous and Exogenous Small RNA Signatures as Novel Tools for Postmortem Interval Determination.Biomolecules · 2026Article
- Biochemical principles of miRNA targeting in flies.Nature communications · 2026Article
- microRNAs affecting development of body pigmentation in adult Drosophila melanogaster.bioRxiv : the preprint server for biology · 2026Article
- CellSNVReg: a multidimensional resource for SNV-mediated regulatory perturbations in single-cell and spatial omics.Nucleic acids research · 2026Article
- miR-10-3p, but not miR-1006-3p, regulatesmicroPublication biology · 2026Article
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- MicroRNA profiling identifies novel regulators of stem cell function in the adult Drosophila intestine.Scientific reports · 2025Article
- Post-transcriptional suppression of the pioneer factor Zelda protects the adult Drosophila testis from activation of the ovary program.PLoS biology · 2025Article
- Distinct roles of clustered MicroRNAs miR-286 and miR-6 in JNK activation critical to apoptosis-induced proliferation in Drosophila.Cellular and molecular life sciences : CMLS · 2025Article
- Pervasive sex-dependent effects in the genetic architecture of starvation resistance inScience advances · 2025Article
- An endogenous cluster of target-directed microRNA degradation sites induces decay of distinct microRNA families.Cell reports · 2025Article
- A time course analysis through diapause reveals dynamic temporal patterns of microRNAs associated with endocrine regulation in the butterfly Pieris napi.Molecular ecology · 2025Article
- In vivo AGO-APP identifies a module of microRNAs cooperatively preserving neural progenitors.PLoS genetics · 2025Article
- Developmental Expression Patterns of miRNA inGenes · 2025Article
- miR-2940-1 is involved in the circadian regulation of oviposition in Aedes albopictus.Insect science · 2025Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundMicroRNAs (miRNAs) are short regulatory RNAs that derive from hairpin precursors. Important for understanding the functional roles of miRNAs is the ability to predict the messenger RNA (mRNA) targets most responsive to each miRNA. Progress towards developing quantitative models of miRNA targeting in Drosophila and other invertebrate species has lagged behind that of mammals due to the paucity of datasets measuring the effects of miRNAs on mRNA levels.
resultsWe acquired datasets suitable for the quantitative study of miRNA targeting in Drosophila. Analyses of these data expanded the types of regulatory sites known to be effective in flies, expanded the mRNA regions with detectable targeting to include 5' untranslated regions, and identified features of site context that correlate with targeting efficacy in fly cells. Updated evolutionary analyses evaluated the probability of conserved targeting for each predicted site and indicated that more than a third of the Drosophila genes are preferentially conserved targets of miRNAs. Based on these results, a quantitative model was developed to predict targeting efficacy in insects. This model performed better than existing models, and it drives the most recent version, v7, of TargetScanFly.
conclusionsOur evolutionary and functional analyses expand the known scope of miRNA targeting in flies and other insects. The existence of a quantitative model that has been developed and trained using Drosophila data will provide a valuable resource for placing miRNAs into gene regulatory networks of this important experimental organism.
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