ArticleNature communications2018
A mixed antagonistic/synergistic miRNA repression model enables accurate predictions of multi-input miRNA sensor activity.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 33 papers.
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
33 citing papers in PubMed, 56 citations in OpenAlex.
- Cellular-state control using ribozyme-scaffolded miRNA-sensing and CRISPR-mediated actuation.Cell reports methods · 2026Article
- Investigate synergistic and competitive regulation between miRNAs by using a multivariate information measurement.BMC bioinformatics · 2026Article
- GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.ACS synthetic biology · 2026Article
- miR29a-Loaded Extracellular Vesicles Derived from Human Mesenchymal Stem Cells Inhibit Fibrotic and Inflammatory Signaling.ACS omega · 2025Article
- GCAD: a Computational Framework for Mammalian Genetic Program Computer-Aided Design.bioRxiv : the preprint server for biology · 2025Article
- Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells.Cell systems · 2025Article
- Customizable gene sensing and response without altering endogenous coding sequences.Nature chemical biology · 2025Article
- Advanced computational predictive models of miRNA-mRNA interaction efficiency.Computational and structural biotechnology journal · 2024Article
- Sensing and guiding cell-state transitions by using genetically encoded endoribonuclease-mediated microRNA sensors.Nature biomedical engineering · 2024Article
- Quantitative design of cell type-specific mRNA stability from microRNA expression data.bioRxiv : the preprint server for biology · 2024Article
- Implications of NLRP3 Suppression Using Glibenclamide and miR-223 against Colorectal Cancer.Pharmaceuticals (Basel, Switzerland) · 2024Article
- Rational design of microRNA-responsive switch for programmable translational control in mammalian cells.Nature communications · 2023Article
- Regulation of rat HspB5/alphaB-Crystallin by microRNAs miR-101a-3p, miR-140-5p, miR-330-5p, and miR-376b-3p.Cell stress & chaperones · 2023Article
- The DDUP protein encoded by the DNA damage-induced CTBP1-DT lncRNA confers cisplatin resistance in ovarian cancer.Cell death & disease · 2023Article
- MIRELLA: a mathematical model explains the effect of microRNA-mediated synthetic genes regulation on intracellular resource allocation.Nucleic acids research · 2023Article
- Synthetic gene circuits for cell state detection and protein tuning in human pluripotent stem cells.Molecular systems biology · 2022Article
- Biomimetic Nanosystems for the Synergistic Delivery of miR-144/451a for Oral Squamous Cell CarcinomaBalkan medical journal · 2022Article
- miRNA/mRNA co-profiling identifies the miR-200 family as a central regulator of SMC quiescence.iScience · 2022Article
- PERSIST platform provides programmable RNA regulation using CRISPR endoRNases.Nature communications · 2022Article
- Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition.Frontiers in molecular biosciences · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
MicroRNAs (miRNAs) regulate a majority of protein-coding genes, affecting nearly all biological pathways. However, the quantitative dimensions of miRNA-based regulation are not fully understood. In particular, the implications of miRNA target site location, composition rules for multiple target sites, and cooperativity limits for genes regulated by many miRNAs have not been quantitatively characterized. We explore these aspects of miRNA biology at a quantitative single-cell level using a library of 620 miRNA sensors and reporters that are regulated by many miRNA target sites at different positions. Interestingly, we find that miRNA target site sets within the same untranslated region exhibit combined miRNA activity described by an antagonistic relationship while those in separate untranslated regions show synergy. The resulting antagonistic/synergistic computational model enables the high-fidelity prediction of miRNA sensor activity for sensors containing many miRNA targets. These findings may help to accelerate the development of sophisticated sensors for clinical and research applications.
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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.