ArticleGenome biology2017
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells.
Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- Brain microRNAs are associated with variation in cognitive trajectory in advanced age.Translational psychiatry · 2022Pooled it
- The advantage of periodic over constant signalling in microRNA-mediated regulation.Nucleic acids research · 2025Article
- Advances in spatial transcriptomics and its application in the musculoskeletal system.Bone research · 2025Review
- A competition network connects Rab5 and Rab11 GTPases at the surface of endocytic structures.iScience · 2025Article
- Competition effects regulating the composition of the microRNA pool.Journal of the Royal Society, Interface · 2025Article
- Out-of-Equilibrium ceRNA Crosstalk.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Coding, or non-coding, that is the question.Cell research · 2024Review
- Spatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine.Military Medical Research · 2024Review
- Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy.Cancer drug resistance (Alhambra, Calif.) · 2024Review
- Effects of microRNA-mediated negative feedback on gene expression noise.Biophysical journal · 2023Article
- A nested bistable module within a negative feedback loop ensures different types of oscillations in signaling systems.Scientific reports · 2023Article
- Epigenetic factor competition reshapes the EMT landscape.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Oligonucleotide-Based Therapies for Chronic HBV Infection: A Primer on Biochemistry, Mechanisms and Antiviral Effects.Viruses · 2022Review
- Article
- microRNA-Mediated Encoding and Decoding of Time-Dependent Signals in Tumorigenesis.Biomolecules · 2022Review
- Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.Genomics, proteomics & bioinformatics · 2021Article
- An integrated approach to identify bimodal genes associated with prognosis in câncer.Genetics and molecular biology · 2021Article
- Epigenetic and non-coding regulation of alcohol abuse and addiction.International review of neurobiology · 2021Article
- PUMA: PANDA Using MicroRNA Associations.Bioinformatics (Oxford, England) · 2020Article
- Six long noncoding RNAs as potentially biomarkers involved in competitive endogenous RNA of hepatocellular carcinoma.Clinical and experimental medicine · 2020Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDistinct RNA species may compete for binding to microRNAs (miRNAs). This competition creates an indirect interaction between miRNA targets, which behave as miRNA sponges and eventually influence each other's expression levels. Theoretical predictions suggest that not only the mean expression levels of targets but also the fluctuations around the means are coupled through miRNAs. This may result in striking effects on a broad range of cellular processes, such as cell differentiation and proliferation. Although several studies have reported the functional relevance of this mechanism of interaction, detailed experiments are lacking that study this phenomenon in controlled conditions by mimicking a physiological range.
resultsWe used an experimental design based on two bidirectional plasmids and flow cytometry measurements of cotransfected mammalian cells. We validated a stochastic gene interaction model that describes how mRNAs can influence each other's fluctuations in a miRNA-dependent manner in single cells. We show that miRNA-target correlations eventually lead to either bimodal cell population distributions with high and low target expression states, or correlated fluctuations across targets when the pool of unbound targets and miRNAs are in near-equimolar concentration. We found that there is an optimal range of conditions for the onset of cross-regulation, which is compatible with 10-1000 copies of targets per cell.
conclusionsOur results are summarized in a phase diagram for miRNA-mediated cross-regulation that links experimentally measured quantities and effective model parameters. This phase diagram can be applied to in vivo studies of RNAs that are in competition for miRNA binding.
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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.