Evidence map›Paper›PMID 24407955›Full record

ArticleGenome research2014

A biochemical landscape of A-to-I RNA editing in the human brain transcriptome.

Masayuki Sakurai, Hiroki Ueda, Takanori Yano, Shunpei Okada, Hideki Terajima, Toutai Mitsuyama, Atsushi Toyoda, Asao Fujiyama, Hitomi Kawabata, Tsutomu Suzuki

Abstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Epitranscriptomic Analysis of A-to-I RNA Editing and mInternational journal of molecular sciences · 2026
    Review
  2. RNA modifications in cancer and their detection: a review.Japanese journal of clinical oncology · 2026
    Review
  3. Article
  4. Review
  5. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. RNA Modification Detection Using Nanopore Direct RNA Sequencing and nanoDoc2.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Detection technologies for RNA modifications.Experimental & molecular medicine · 2022
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. RNAME: A comprehensive database of RNA modification enzymes.Computational and structural biotechnology journal · 2022
    Article

27 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

10 authors.

Masayuki SakuraiDepartment of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo, Tokyo 113-8656, Japan;
Hiroki Ueda
Takanori Yano
Shunpei Okada
Hideki Terajima
Toutai Mitsuyama
Atsushi Toyoda
Asao Fujiyama
Hitomi Kawabata
Tsutomu Suzuki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inosine is an abundant RNA modification in the human transcriptome and is essential for many biological processes in modulating gene expression at the post-transcriptional level. Adenosine deaminases acting on RNA (ADARs) catalyze the hydrolytic deamination of adenosines to inosines (A-to-I editing) in double-stranded regions. We previously established a biochemical method called "inosine chemical erasing" (ICE) to directly identify inosines on RNA strands with high reliability. Here, we have applied the ICE method combined with deep sequencing (ICE-seq) to conduct an unbiased genome-wide screening of A-to-I editing sites in the transcriptome of human adult brain. Taken together with the sites identified by the conventional ICE method, we mapped 19,791 novel sites and newly found 1258 edited mRNAs, including 66 novel sites in coding regions, 41 of which cause altered amino acid assignment. ICE-seq detected novel editing sites in various repeat elements as well as in short hairpins. Gene ontology analysis revealed that these edited mRNAs are associated with transcription, energy metabolism, and neurological disorders, providing new insights into various aspects of human brain functions.

Indexed as

RNA EditingAdenosineAdultBrainChromosomes, HumanEnergy MetabolismGene Expression ProfilingGenome, HumanHigh-Throughput Nucleotide SequencingHumansInosineModels, GeneticNervous System DiseasesRNA, MessengerTranscription, GeneticTranscriptomeAdenosineInosineRNA, Messenger

Identifiers

PMID24407955
PMCPMC3941116

What OpenQuestion holds

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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.