ReviewMethods and protocols2020
miRNA Targets: From Prediction Tools to Experimental Validation.
Review in Methods and protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
134 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What Do We Know about Barley miRNAs?International journal of molecular sciences · 2022Pooled it
- Article
- miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery.Journal of molecular neuroscience : MN · 2026Article
- A reliable and verified dataset of functional miRNA-mRNA target interactions for gene regulation studies.Scientific data · 2026Article
- Dysregulated host miRNAs with antiviral potential against SARS-CoV-2 identified from COVID-19 patients.Journal of translational medicine · 2026Article
- Anticancer activity of an apigenin-functionalized silica-coated silver oxide nanocomposite against human gastric adenocarcinoma cells (AGS): in vitro and in silico analysis.BMC biotechnology · 2026Article
- Genome-wide identification and functional characterisation of the EDS1 gene family reveals evolutionary conservation and stress-responsive regulatory roles in barley.Scientific reports · 2026Article
- A Narrative Review on Integrative Bioinformatics Approaches for microRNA Research in Familial Mediterranean Fever: Current Insights and Future Directions.Health science reports · 2026Article
- The emerging role of machine learning-based methods in cancer classification using microRNA.Biochemistry and biophysics reports · 2026Review
- Toehold-VISTA: a machine learning approach to decipher programmable RNA sensor-target interactions.Nucleic acids research · 2026Article
- The harmonies played by miR-302/367 cluster in pluripotency, reprogramming, and rejuvenation.Stem cells translational medicine · 2026Review
- SIREN: suite for intelligent RNAi design and evaluation of nucleotide sequences.Bioinformatics advances · 2026Article
- miRNAProtPred: computational prediction of human miRNA binding based on seed complementarity and thermodynamic stability.Frontiers in genetics · 2026Article
- Renal-targeted exosomes inhibiting miR-182-5p for treatment of renal ischemia-reperfusion injury.Bioengineering & translational medicine · 2026Article
- The miR-16-1-3p passenger strand exhibits functional activity and suppresses malignant phenotypes in osteosarcoma.Frontiers in genetics · 2026Article
- Downregulation of lncRNA HOTTIP alleviates neuropathic pain and inflammation in chronic constriction injury rats by targeting miR-216a-5p.The Korean journal of pain · 2026Article
- Clinical Importance of miRNA in Diabetic Neuropathy: Pathophysiology, Diagnosis, and Therapeutic Potential.Current diabetes reviews · 2026Review
- MicroRNAs profiling in malaria and arbovirus coinfection: A systematic review protocol.PloS one · 2026Article
- The emerging role of non-coding RNAs in the pathogenesis of infantile hemangioma.Cancer cell international · 2025Review
- Computational identification and validation of non-coding rna biomarkers in gastrointestinal cancer.Functional & integrative genomics · 2025Review
74 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression in both animals and plants. By pairing to microRNA responsive elements (mREs) on target mRNAs, miRNAs play gene-regulatory roles, producing remarkable changes in several physiological and pathological processes. Thus, the identification of miRNA-mRNA target interactions is fundamental for discovering the regulatory network governed by miRNAs. The best way to achieve this goal is usually by computational prediction followed by experimental validation of these miRNA-mRNA interactions. This review summarizes the key strategies for miRNA target identification. Several tools for computational analysis exist, each with different approaches to predict miRNA targets, and their number is constantly increasing. The major algorithms available for this aim, including Machine Learning methods, are discussed, to provide practical tips for familiarizing with their assumptions and understanding how to interpret the results. Then, all the experimental procedures for verifying the authenticity of the identified miRNA-mRNA target pairs are described, including High-Throughput technologies, in order to find the best approach for miRNA validation. For each strategy, strengths and weaknesses are discussed, to enable users to evaluate and select the right approach for their interests.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.