ReviewCellular and molecular life sciences : CMLS2015
Principles of miRNA-mRNA interactions: beyond sequence complementarity.
Review in Cellular and molecular life sciences : CMLS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
107 citing papers in PubMed, 1 synthesis or guideline pooled it.
- DNA Methylation as a Biomarker of Treatment Response Variability in Serious Mental Illnesses: A Systematic Review Focused on Bipolar Disorder, Schizophrenia, and Major Depressive Disorder.International journal of molecular sciences · 2018Pooled it
- MicroRNAs and Other Small RNAs in Liquid Biopsies as Biomarkers for Early Detection of Colorectal Cancer.International journal of molecular sciences · 2026Review
- miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery.Journal of molecular neuroscience : MN · 2026Article
- Review
- Alternative Polyadenylation Drives Runaway Pro-Inflammatory Macrophages in Periodontitis by Enabling Escape From miRNA Repression.Cell proliferation · 2026Article
- Multiomic network analysis reveals conserved and subtype-specific cooperative microRNA regulators in breast cancer.bioRxiv : the preprint server for biology · 2026Article
- Targeting PCSK9, APOB, and CETP at the Transcriptome Level by hsa-miR-30b-3p Reduces LDL-Associated Protein in Huh-7 Cells.Molecular biology reports · 2026Article
- MiR-4788 promotes NSCLC progression by targeting DLG5 to enhance mitochondrial function.Human genomics · 2026Article
- Review
- Transforming RNA-Based Gene Therapy with Innovative Nanocarriers for siRNA and miRNA Delivery.Current gene therapy · 2026Review
- Chinese medicine and intermittent fasting integration therapy attenuate diabetic vascular calcificationActa pharmaceutica Sinica. B · 2026Article
- New Frontiers of microRNA in Heart Failure: From Clinical Risk to Therapeutic Applications.Journal of clinical medicine · 2025Review
- Long noncoding RNA MATN1-AS1 contributes to oxaliplatin resistance of gastric cancer cells through miR-518b/ZNF281 axis.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- KSHV miRNAs target STING to evade innate immunity and facilitate KSHV lytic reactivation from latency.Cell reports · 2025Article
- MiRNAs: main players of cancer drug resistance target ABC transporters.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- A Network Approach to White Band Disease Challenged Staghorn CoralEcology and evolution · 2025Article
- HIF1α controls steroidogenesis under acute hypoxic stress.Cell communication and signaling : CCS · 2025Article
- Target miRNA identification for the LPL gene in large yellow croaker (Larimichthys crocea).Scientific reports · 2025Article
- MicroRNAs in Plant Genetic Regulation of Drought Tolerance and Their Function in Enhancing Stress Adaptation.Plants (Basel, Switzerland) · 2025Review
- Article
47 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression by altering the translation efficiency and/or stability of targeted mRNAs. In vertebrates, more than 50% of all protein-coding RNAs are assumed to be subject to miRNA-mediated control, but current high-throughput methods that reliably measure miRNA-mRNA interactions either require prior knowledge of target mRNAs or elaborate preparation procedures. Consequently, experimentally validated interactions are relatively rare. Furthermore, in silico prediction based on sequence complementarity of miRNAs and their corresponding target sites suffers from extremely high false positive rates. Apparently, sequence complementarity alone is often insufficient to reflect the complex post-transcriptional regulation of mRNAs by miRNAs, which is especially true for animals. Therefore, combined analysis of small non-coding and protein-coding RNAs is indispensable to better understand and predict the complex dynamics of miRNA-regulated gene expression. Single-nucleotide polymorphisms (SNPs) and alternative polyadenylation (APA) can affect miRNA binding of a given transcript from different individuals and tissues, and especially APA is currently emerging as a major factor that contributes to variations in miRNA-mRNA interplay in animals. In this review, we focus on the influence of APA and SNPs on miRNA-mediated gene regulation and discuss the computational approaches that take these mechanisms into account.
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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.