ReviewOpen biology2018
Emerging approaches for detection of methylation sites in RNA.
Review in Open biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 32 citations in OpenAlex.
- CRISPR technologies for detecting DNA and RNA methylation: Mechanisms, platforms, and translational opportunities.Bioengineering & translational medicine · 2026Review
- Dynamic modulation of N6-methyladenosine by ionizing radiation in human cells.Biochemistry and biophysics reports · 2026Article
- AquIRE reveals the mechanisms of clinically induced RNA damage and the conservation and dynamics of glycoRNAs.Nucleic acids research · 2026Article
- Review
- SETD2 controls m6A modification of transcriptome and regulates the molecular oncogenesis of glioma.Medical oncology (Northwood, London, England) · 2023Article
- A dual-purpose polymerase engineered for direct sequencing of pseudouridine and queuosine.Nucleic acids research · 2023Article
- METTL3-mediated long non-coding RNA MIR99AHG methylation targets miR-4660 to promote bone marrow mesenchymal stem cell osteogenic differentiation.Cell cycle (Georgetown, Tex.) · 2023Article
- RNA Modification and Its Implication in Plant Pathogenic Fungi.The plant pathology journal · 2021Review
- Differential analysis of RNA methylation regulators in gastric cancer based on TCGA data set and construction of a prognostic model.Journal of gastrointestinal oncology · 2021Article
- Analysis of RNA Modifications by Second- and Third-Generation Deep Sequencing: 2020 Update.Genes · 2021Review
- Regulation of Antiviral Immune Response byFrontiers in microbiology · 2021Review
- RNA Methylations in Cardiovascular Diseases, Molecular Structure, Biological Functions and Regulatory Roles in Cardiovascular Diseases.Frontiers in pharmacology · 2021Review
- Characterization of Emerging Swine Viral Diseases through Oxford Nanopore Sequencing Using Senecavirus A as a Model.Viruses · 2020Article
- Mitochondrial tRNA methylation in Alzheimer's disease and progressive supranuclear palsy.BMC medical genomics · 2020Article
- CAP-MAP: cap analysis protocol with minimal analyte processing, a rapid and sensitive approach to analysing mRNA cap structures.Open biology · 2020Article
- Multifaceted Functions and Novel Insight Into the Regulatory Role of RNA NFrontiers in cell and developmental biology · 2020Review
- Methylation of Ribosomal RNA: A Mitochondrial Perspective.Frontiers in genetics · 2020Review
- Review
- mRNA methylation in cell senescence.Wiley interdisciplinary reviews. RNA · 2019Review
- RNAs and RNA-Binding Proteins in Immuno-Metabolic Homeostasis and Diseases.Frontiers in cardiovascular medicine · 2019Review
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 at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA methylations play a significant regulatory role in diverse biological processes. Although the transcriptome-wide discovery of unknown RNA methylation sites is essential to elucidate their function, the development of a bigger variety of detection approaches is desirable for multiple reasons. Many established detection methods for RNA modifications heavily rely on the specificity of the respective antibodies. Thus, the development of antibody-independent transcriptome-wide methods is beneficial. Even the antibody-independent high-throughput sequencing-based methods are liable to produce false-positive or false-negative results. The development of an independent method for each modification could help validate the detected modification sites. Apart from the transcriptome-wide methods for methylation detection
Indexed as
Identifiers
What OpenQuestion holds
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.