Evidence map›Paper›PMID 25855956›Full record

ArticleNature protocols2015

Transcriptome-wide identification of adenosine-to-inosine editing using the ICE-seq method.

Tsutomu Suzuki, Hiroki Ueda, Shunpei Okada, Masayuki Sakurai

Abstract read
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In one paragraph

Article in Nature protocols, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

45 citing papers in PubMed, 84 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Tsutomu SuzukiDepartment of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo, Tokyo, Japan.
Hiroki UedaDepartment of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo, Tokyo, Japan.
Shunpei OkadaDepartment of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo, Tokyo, Japan.
Masayuki SakuraiDepartment of Chemistry and Biotechnology, Graduate School of Engineering, University of Tokyo, Tokyo, Japan.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inosine (I), a modified base found in the double-stranded regions of RNA in metazoans, has various roles in biological processes by modulating gene expression. Inosine is generated from adenosine (A) catalyzed by ADAR (adenosine deaminase acting on RNA) enzymes in a process called A-to-I RNA editing. As inosine is converted to guanosine (G) by reverse transcription, the editing sites can be identified by simply comparing cDNA sequences with the corresponding genomic sequence. One approach to screening I sites is by deep sequencing based on A-to-G conversion from genomic sequence to cDNA; however, this approach produces a high rate of false positives because it cannot efficiently eliminate G signals arising from inevitable mapping errors. To address this issue, we developed a biochemical method to identify inosines called inosine chemical erasing (ICE), which is based on cyanoethylation combined with reverse transcription. ICE was subsequently combined with deep sequencing (ICE-seq) for the reliable identification of transcriptome-wide A-to-I editing sites. Here we describe a protocol for the practical application of ICE-seq, which can be completed within 22 d, and which allows the accurate identification of transcriptome-wide A-to-I RNA editing sites.

Indexed as

RNA EditingAdenosineBiochemistryBrainCells, CulturedDNA, ComplementaryGene Expression ProfilingGene LibraryGenomeHigh-Throughput Nucleotide SequencingHumansInosinePolymorphism, Single NucleotideSoftwareAdenosineDNA, ComplementaryInosine

Identifiers

PMID25855956
OpenAlexW1996446847

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.