ReviewBiomolecules2020
isomiRs-Hidden Soldiers in the miRNA Regulatory Army, and How to Find Them?
Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
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Who cites it
14 citing papers in PubMed.
- The Hidden Layer of MicroRNA Regulation in Gynecologic Cancers: IsomiRs, Arm Switching, and RNA Epitranscriptomic Modifications.International journal of molecular sciences · 2026Review
- Programmable two-dimensional CoOOH nanosheets with a hybridization chain reaction amplification system for label-free fluorescent detection of miRNA-205 in colorectal cancer.Mikrochimica acta · 2026Article
- MicroRNA chemical modifications in post-transcriptional gene silencing and human diseases.Molecular therapy. Nucleic acids · 2025Review
- Charting the equine miRNA landscape: An integrated pipeline and browser for annotating, quantifying, and visualizing expression.PLoS genetics · 2025Article
- Combinatorial Analysis of miRNAs and tRNA Fragments as Potential Biomarkers for Cancer Patients in Liquid Biopsies.Non-coding RNA · 2025Article
- Exploring regulatory mechanisms on miRNAs and their implications in inflammation-related diseases.Clinical and experimental medicine · 2024Review
- Article
- Phospho-RNA-Seq Highlights Specific Small RNA Profiles in Plasma Extracellular Vesicles.International journal of molecular sciences · 2023Article
- Article
- Article
- AntiVIRmiR: A repository of host antiviral miRNAs and their expression along with experimentally validated viral miRNAs and their targets.Frontiers in genetics · 2022Article
- miRGalaxy: Galaxy-Based Framework for Interactive Analysis of microRNA and isomiR Sequencing Data.Cancers · 2021Article
- Review
- miRNA interplay: mechanisms and consequences in cancer.Disease models & mechanisms · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Numerous studies on microRNAs (miRNA) in cancer and other diseases have been accompanied by diverse computational approaches and experimental methods to predict and validate miRNA biological and clinical significance as easily accessible disease biomarkers. In recent years, the application of the next-generation deep sequencing for the analysis and discovery of novel RNA biomarkers has clearly shown an expanding repertoire of diverse sequence variants of mature miRNAs, or isomiRs, resulting from alternative post-transcriptional processing events, and affected by (patho)physiological changes, population origin, individual's gender, and age. Here, we provide an in-depth overview of currently available bioinformatics approaches for the detection and visualization of both mature miRNA and cognate isomiR sequences. An attempt has been made to present in a systematic way the advantages and downsides of in silico approaches in terms of their sensitivity and accuracy performance, as well as used methods, workflows, and processing steps, and end output dataset overlapping issues. The focus is given to the challenges and pitfalls of isomiR expression analysis. Specifically, we address the availability of tools enabling research without extensive bioinformatics background to explore this fascinating corner of the small RNAome universe that may facilitate the discovery of new and more reliable disease biomarkers.
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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.