Evidence map›Paper›PMID 29093448›Full record

ArticleNature communications2017

Structure-mediated modulation of mRNA abundance by A-to-I editing.

Anneke Brümmer, Yun Yang, Tracey W Chan, Xinshu Xiao

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

4 authors.

Anneke BrümmerDepartment of Integrative Biology and Physiology, Bioinformatics Interdepartmental Program, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, 90095-1570, USA.
Yun YangDepartment of Integrative Biology and Physiology, Bioinformatics Interdepartmental Program, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, 90095-1570, USA.
Tracey W ChanDepartment of Integrative Biology and Physiology, Bioinformatics Interdepartmental Program, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, 90095-1570, USA.
Xinshu XiaoDepartment of Integrative Biology and Physiology, Bioinformatics Interdepartmental Program, Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, 90095-1570, USA. gxxiao@ucla.edu.

Funding

Analysis of functional genetic variants in RNA processing and expressionU01HG009417 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2017 to 2021
$3.2M
Biomedical Big Data Training GrantT32LM012424 · NLM · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PELLEGRINI, MATTEO · 2016 to 2019
$1.0M
Informatic tools for single-nucleotide analysis of cancer RNA-SeqU01CA204695 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI XIAO, XINSHU GRACE · 2016 to 2018
$959k
NCI NIH HHS U01 CA204695NHGRI NIH HHS U01 HG009417NLM NIH HHS T32 LM012424
6 · The paper itself

Abstract

RNA editing introduces single nucleotide changes to RNA, thus potentially diversifying gene expression. Recent studies have reported significant changes in RNA editing profiles in disease and development. The functional consequences of these widespread alterations remain elusive because of the unknown function of most RNA editing sites. Here, we carry out a comprehensive analysis of A-to-I editomes in human populations. Surprisingly, we observe highly similar editing profiles across populations despite striking differences in the expression levels of ADAR genes. Striving to explain this discrepancy, we uncover a functional mechanism of A-to-I editing in regulating mRNA abundance. We show that A-to-I editing stabilizes RNA secondary structures and reduces the accessibility of AGO2-miRNA to target sites in mRNAs. The editing-dependent stabilization of mRNAs in turn alters the observed editing levels in the stable RNA repertoire. Our study provides valuable insights into the functional impact of RNA editing in human cells.

Indexed as

RNA StabilityAdenosineAdenosine DeaminaseArgonaute ProteinsGene Expression RegulationGene Knockdown TechniquesHep G2 CellsHumansInosineK562 CellsMicroRNAsRNA-Binding ProteinsRNA EditingRNA, MessengerADARB1 protein, humanADARB2 protein, humanADAR protein, humanAdenosineAdenosine DeaminaseAGO2 protein, humanArgonaute ProteinsInosineMicroRNAsRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID29093448
PMCPMC5665907

What OpenQuestion holds

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Registered trials

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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.