Evidence map›Paper›PMID 22327324›Full record

ArticleNature biotechnology2012

Comprehensive analysis of RNA-Seq data reveals extensive RNA editing in a human transcriptome.

Zhiyu Peng, Yanbing Cheng, Bertrand Chin-Ming Tan, Lin Kang, Zhijian Tian, Yuankun Zhu, Wenwei Zhang, Yu Liang, Xueda Hu, Xuemei Tan and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 341 papers.

0numbers the graph read from it
0cells of the map it votes in
341citing 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

341 citing papers in PubMed.

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  9. Nucleic acid therapeutics: Past, present, and future.Molecular therapy. Nucleic acids · 2025
    Review
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  11. Article
  12. Article
  13. Article
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  16. Review
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  19. Article
  20. Imbalance inInternational journal of molecular sciences · 2024
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Zhiyu PengBGI-Shenzhen, Shenzhen, China.
Yanbing Cheng
Bertrand Chin-Ming Tan
Lin Kang
Zhijian Tian
Yuankun Zhu
Wenwei Zhang
Yu Liang
Xueda Hu
Xuemei Tan
Jing Guo
Zirui Dong
Yan Liang
Li Bao
Jun Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing is a post-transcriptional event that recodes hereditary information. Here we describe a comprehensive profile of the RNA editome of a male Han Chinese individual based on analysis of ∼767 million sequencing reads from poly(A)(+), poly(A)(-) and small RNA samples. We developed a computational pipeline that carefully controls for false positives while calling RNA editing events from genome and whole-transcriptome data of the same individual. We identified 22,688 RNA editing events in noncoding genes and introns, untranslated regions and coding sequences of protein-coding genes. Most changes (∼93%) converted A to I(G), consistent with known editing mechanisms based on adenosine deaminase acting on RNA (ADAR). We also found evidence of other types of nucleotide changes; however, these were validated at lower rates. We found 44 editing sites in microRNAs (miRNAs), suggesting a potential link between RNA editing and miRNA-mediated regulation. Our approach facilitates large-scale studies to profile and compare editomes across a wide range of samples.

Indexed as

RNA EditingTranscriptomeComputational BiologyHumansLectins, C-TypeMicroRNAsPoly APolymorphism, Single NucleotideReceptors, Cell SurfaceRNASequence Analysis, RNACLEC2D protein, humanLectins, C-TypeMicroRNAsPoly AReceptors, Cell SurfaceRNA

Identifiers

PMID22327324

What OpenQuestion holds

Textmetadata
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.