Evidence map›Paper›PMID 25373143›Full record

ArticleGenome research2015

Profiling the RNA editomes of wild-type C. elegans and ADAR mutants.

Han-Qing Zhao, Pan Zhang, Hua Gao, Xiandong He, Yanmei Dou, August Y Huang, Xi-Ming Liu, Adam Y Ye, Meng-Qiu Dong, Liping Wei

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 108 citations in OpenAlex.

  1. Review
  2. Article
  3. Two codes of RNA editing by deamination in human diseases.Experimental & molecular medicine · 2026
    Review
  4. ADARs mediate distinct RNA editing activity and gene regulation in thebioRxiv : the preprint server for biology · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Han-Qing ZhaoNational Institute of Biological Sciences, Beijing 102206, China;
Pan ZhangNational Institute of Biological Sciences, Beijing 102206, China;
Hua GaoCenter for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China.
Xiandong HeNational Institute of Biological Sciences, Beijing 102206, China;
Yanmei DouCenter for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China.
August Y HuangNational Institute of Biological Sciences, Beijing 102206, China;
Xi-Ming LiuNational Institute of Biological Sciences, Beijing 102206, China;
Adam Y YeCenter for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China.
Meng-Qiu DongNational Institute of Biological Sciences, Beijing 102206, China; weilp@mail.cbi.pku.edu.cn dongmengqiu@nibs.ac.cn.
Liping WeiNational Institute of Biological Sciences, Beijing 102206, China; Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing 100871, China weilp@mail.cbi.pku.edu.cn dongmengqiu@nibs.ac.cn.
National Institute of Biological Sciences, Beijing · CNPeking University · CN

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

RNA editing increases transcriptome diversity through post-transcriptional modifications of RNA. Adenosine deaminases that act on RNA (ADARs) catalyze the adenosine-to-inosine (A-to-I) conversion, the most common type of RNA editing in higher eukaryotes. Caenorhabditis elegans has two ADARs, ADR-1 and ADR-2, but their functions remain unclear. Here, we profiled the RNA editomes of C. elegans at different developmental stages of wild-type and ADAR mutants. We developed a new computational pipeline with a "bisulfite-seq-mapping-like" step and achieved a threefold increase in identification sensitivity. A total of 99.5% of the 47,660 A-to-I editing sites were found in clusters. Of the 3080 editing clusters, 65.7% overlapped with DNA transposons in noncoding regions and 73.7% could form hairpin structures. The numbers of editing sites and clusters were highest at the L1 and embryonic stages. The editing frequency of a cluster positively correlated with the number of editing sites within it. Intriguingly, for 80% of the clusters with 10 or more editing sites, almost all expressed transcripts were edited. Deletion of adr-1 reduced the editing frequency but not the number of editing clusters, whereas deletion of adr-2 nearly abolished RNA editing, indicating a modulating role of ADR-1 and an essential role of ADR-2 in A-to-I editing. Quantitative proteomics analysis showed that adr-2 mutant worms altered the abundance of proteins involved in aging and lifespan regulation. Consistent with this finding, we observed that worms lacking RNA editing were short-lived. Taken together, our results reveal a sophisticated landscape of RNA editing and distinct modes of action of different ADARs.

Indexed as

RNA EditingAdenosineAdenosine DeaminaseAnimalsBase SequenceCaenorhabditis elegansCaenorhabditis elegans ProteinsChromosome MappingComputational BiologyDNA Transposable ElementsEvaluation Studies as TopicGene DeletionGenetic Association StudiesMolecular Sequence DataMultigene FamilyNucleic Acid ConformationAdenosineAdenosine DeaminaseCaenorhabditis elegans ProteinsDNA Transposable ElementsGLD-2 protein, C elegansPolynucleotide AdenylyltransferaseRNA, Helminth

Identifiers

PMID25373143
PMCPMC4317174
OpenAlexW2139838468

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.