Evidence map›Paper›PMID 29084589›Full record

ReviewGenome biology2017

Rewriting the transcriptome: adenosine-to-inosine RNA editing by ADARs.

Carl R Walkley, Jin Billy Li

Open access · goldAbstract readReview
In one paragraph

Review in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing papers in PubMed
8.3field-weighted citation impact, top 2% of its field
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

158 citing papers in PubMed, 251 citations in OpenAlex.

  1. Article
  2. Article
  3. Science advances · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. ADAR-GPT: A continually fine-tuned language model for predicting A-to-I RNA editing sites.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Mouse models of type I interferonopathies.Human molecular genetics · 2025
    Review
  19. Article
  20. Article

98 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

Carl R WalkleySt Vincent's Institute of Medical Research, Fitzroy, Victoria, 3065, Australia. cwalkley@svi.edu.au.
Jin Billy LiDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA. jin.billy.li@stanford.edu.
Stanford University · USSt Vincents Institute of Medical Research · AU

Funding

Profiling and Dissecting the Dynamic Regulation of RNA EditingR01GM102484 · NIGMS · STANFORD UNIVERSITY · PI LI, JIN BILLY · 2013 to 2021
$3.1M
Systematic characterization of trans regulation of A-to-I RNA editing in neuronsR01MH115080 · NIMH · STANFORD UNIVERSITY · PI LI, JIN BILLY · 2017 to 2021
$2.3M
NIGMS NIH HHS R01 GM102484NIMH NIH HHS R01 MH115080
6 · The paper itself

Abstract

One of the most prevalent forms of post-transcritpional RNA modification is the conversion of adenosine nucleosides to inosine (A-to-I), mediated by the ADAR family of enzymes. The functional requirement and regulatory landscape for the majority of A-to-I editing events are, at present, uncertain. Recent studies have identified key in vivo functions of ADAR enzymes, informing our understanding of the biological importance of A-to-I editing. Large-scale studies have revealed how editing is regulated both in cis and in trans. This review will explore these recent studies and how they broaden our understanding of the functions and regulation of ADAR-mediated RNA editing.

Indexed as

RNA EditingAdenosineAdenosine DeaminaseAnimalsDiseaseHumansInosineTranscriptomeAdenosineAdenosine DeaminaseInosine

Identifiers

PMID29084589
PMCPMC5663115
OpenAlexW2766586377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.