ArticleRNA (New York, N.Y.)2012
Kinetic signatures of microRNA modes of action.
Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 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
59 citing papers in PubMed.
- Salivary and urinary microRNAs as non-invasive biomarkers of minimal residual disease in pediatric acute lymphoblastic leukemia.Biomolecules & biomedicine · 2026Article
- AutoML identification of microRNA biomarkers in high-risk pediatric acute lymphoblastic leukemia.Non-coding RNA research · 2025Article
- Pre-analytical considerations for microRNA quantification in childhood leukemia research.Journal of biological methods · 2025Review
- MicroRNA Nobel Prize: Timely Recognition and High Anticipation of Future Products-A Prospective Analysis.International journal of molecular sciences · 2024Review
- Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer.Molecular cancer · 2024Article
- Translational modeling-based evidence for enhanced efficacy of standard-of-care drugs in combination with anti-microRNA-155 in non-small-cell lung cancer.medRxiv : the preprint server for health sciences · 2024Article
- Article
- A state-of-the-art review on the MicroRNAs roles in hematopoietic stem cell aging and longevity.Cell communication and signaling : CCS · 2023Review
- Identification of conserved miRNAs and their targets in Jatropha curcas: an in silico approach.Journal, genetic engineering & biotechnology · 2023Article
- An integrated study of glutamine alleviates enteritis induced by glycinin in hybrid groupers using transcriptomics, proteomics and microRNA analyses.Frontiers in immunology · 2023Article
- Recent advancements of miRNAs in the treatment of bone diseases and their delivery potential.Current research in pharmacology and drug discovery · 2023Review
- SUBATOMIC: a SUbgraph BAsed mulTi-OMIcs clustering framework to analyze integrated multi-edge networks.BMC bioinformatics · 2022Article
- Review
- Translational Modeling Identifies Synergy between Nanoparticle-Delivered miRNA-22 and Standard-of-Care Drugs in Triple-Negative Breast Cancer.Pharmaceutical research · 2022Article
- A Stochastic Binary Model for the Regulation of Gene Expression to Investigate Responses to Gene Therapy.Cancers · 2022Article
- Involvement of host microRNAs in flavivirus-induced neuropathology: An update.Journal of biosciences · 2022Review
- The Role of microRNAs in the Mammary Gland Development, Health, and Function of Cattle, Goats, and Sheep.Non-coding RNA · 2021Review
- Trophoblast derived extracellular vesicles specifically alter the transcriptome of endometrial cells and may constitute a critical component of embryo-maternal communication.Reproductive biology and endocrinology : RB&E · 2021Article
- A comparative analysis of heart microRNAs in vertebrates brings novel insights into the evolution of genetic regulatory networks.BMC genomics · 2021Article
- Silencing of Exosomal miR-181a Reverses Pediatric Acute Lymphocytic Leukemia Cell Proliferation.Pharmaceuticals (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are key regulators of all important biological processes, including development, differentiation, and cancer. Although remarkable progress has been made in deciphering the mechanisms used by miRNAs to regulate translation, many contradictory findings have been published that stimulate active debate in this field. Here we contribute to this discussion in three ways. First, based on a comprehensive analysis of the existing literature, we hypothesize a model in which all proposed mechanisms of microRNA action coexist, and where the apparent mechanism that is detected in a given experiment is determined by the relative values of the intrinsic characteristics of the target mRNAs and associated biological processes. Among several coexisting miRNA mechanisms, the one that will effectively be measurable is that which acts on or changes the sensitive parameters of the translation process. Second, we have created a mathematical model that combines nine known mechanisms of miRNA action and estimated the model parameters from the literature. Third, based on the mathematical modeling, we have developed a computational tool for discriminating among different possible individual mechanisms of miRNA action based on translation kinetics data that can be experimentally measured (kinetic signatures). To confirm the discriminatory power of these kinetic signatures and to test our hypothesis, we have performed several computational experiments with the model in which we simulated the coexistence of several miRNA action mechanisms in the context of variable parameter values of the translation.
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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.