ArticleNature communications2014
A genome-wide map of hyper-edited RNA reveals numerous new sites.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 1 of them a synthesis that pooled it.
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
166 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis of Keratoconus Transcriptomic Data Revealed Altered RNA Editing Levels Impacting Keratin Genomic Clusters.Investigative ophthalmology & visual science · 2023Pooled it
- Updated guide to RNA quantification by RNA sequencing and reverse transcription-qPCR.Molecules and cells · 2026Article
- The regulatory mechanism and clinical significance of RNA editing in prostate cancer.Current urology · 2026Review
- VeloRM: disentangling pre- and post-splicing RNA modification dynamics at single-cell resolution.Nucleic acids research · 2026Article
- A cytoplasmic index for quantifying immune-related A-to-I RNA editing.Genome biology · 2026Article
- Tumour-associated high endothelial venules drive portal-specific immune evasion in lymph nodes via ALOX12.Nature communications · 2026Article
- A transcriptome-wide systematic search does not detect A-to-I RNA editing inGenome research · 2026Article
- Structural and mechanistic basis of ADAR1-mediated RNA editing and immune regulation.Cell insight · 2026Review
- ADAR1 regulates dsRNA formation in nuclear and mitochondrial transcripts through editing-dependent and -independent mechanisms.Cell reports · 2026Article
- Identification of ADAR1i-124: The first effective A-to-I RNA editing inhibitor with promising cancer therapeutic potential.iScience · 2026Article
- ADAR1 expression in different cancer cell lines and its change under heat shock.Journal of applied genetics · 2025Article
- Meta-analysis of genetic regulation of RNA editing in the human brain identifies new genes underlying neurological disease.medRxiv : the preprint server for health sciences · 2025Article
- Article
- A circularly permuted CasRx platform for efficient, site-specific RNA editing.Nature biotechnology · 2025Article
- Leveraging genetics to understand ADAR1-mediated RNA editing in health and disease.Nature reviews. Genetics · 2025Review
- Adenosine-to-inosine RNA editing in cancer: molecular mechanisms and downstream targets.Protein & cell · 2025Review
- The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structure.Nucleic acids research · 2025Article
- Biochemical profiling and structural basis of ADAR1-mediated RNA editing.Molecular cell · 2025Article
- A novel mechanism for A-to-I RNA-edited CYP1A1 in promoting cancer progression in NSCLC.Cellular & molecular biology letters · 2025Article
- Mammary gland multi-omics data reveals new genetic insights into milk production traits in dairy cattle.PLoS genetics · 2025Article
106 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Adenosine-to-inosine editing is one of the most frequent post-transcriptional modifications, manifested as A-to-G mismatches when comparing RNA sequences with their source DNA. Recently, a number of RNA-seq data sets have been screened for the presence of A-to-G editing, and hundreds of thousands of editing sites identified. Here we show that existing screens missed the majority of sites by ignoring reads with excessive ('hyper') editing that do not easily align to the genome. We show that careful alignment and examination of the unmapped reads in RNA-seq studies reveal numerous new sites, usually many more than originally discovered, and in precisely those regions that are most heavily edited. Specifically, we discover 327,096 new editing sites in the heavily studied Illumina Human BodyMap data and more than double the number of detected sites in several published screens. We also identify thousands of new sites in mouse, rat, opossum and fly. Our results establish that hyper-editing events account for the majority of editing sites.
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.