ReviewRNA biology2024
Single-cell analysis of the epitranscriptome: RNA modifications under the microscope.
Review in RNA biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 11 citations in OpenAlex.
- Advanced deep learning strategies in nanopore RNA sequencing.RNA biology · 2026Review
- Interaction between N6-methyladenosine (mGenes & diseases · 2026Review
- CRISPR technologies for detecting DNA and RNA methylation: Mechanisms, platforms, and translational opportunities.Bioengineering & translational medicine · 2026Review
- RNA Modifications as Molecular Regulators of Alveolar Epithelial Injury and Aberrant Repair in Pulmonary Fibrosis.Biomolecules · 2026Review
- Advances in Oral Cavity Stem Cell Research Revealed through Multi-omics Analysis.Stem cell reviews and reports · 2026Review
- Bridging maternal effects and epitranscriptomics: A novel perspective in developmental biology.Developmental dynamics : an official publication of the American Association of Anatomists · 2026Review
- The Future of Epigenetics: Emerging Technologies and Clinical Applications.ACS pharmacology & translational science · 2026Review
- Epitranscriptomic modifications in embryonic development: insights into natural and ART-induced mechanisms and implications.Human reproduction update · 2026Review
- Super-resolved, three-dimensional spatial transcriptomics reveals cell-type and brain-region-specific modulation of key epitranscriptomic switches following adolescent alcohol exposure.bioRxiv : the preprint server for biology · 2026Article
- RNA methylation in urological cancers: regulatory logic, biological functions, and clinical relevance.Frontiers in immunology · 2026Review
- Epitranscriptomic alterations induced by environmental toxins: implications for RNA modifications and disease.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2025Review
- Research progress on N6-methyladenosine and non-coding RNA in multiple myeloma.Discover oncology · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of mechanisms capable of modifying genetic information by the addition of covalent RNA modifications distinguishes a level of complexity in gene expression which challenges key long-standing concepts of RNA biology. One of the current challenges of molecular biology is to properly understand the molecular functions of these RNA modifications, with more than 170 different ones having been identified so far. However, it has not been possible to map specific RNA modifications at a single-cell resolution until very recently. This review will highlight the technological advances in single-cell methodologies aimed at assessing and testing the biological function of certain RNA modifications, focusing on m
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.