Evidence map›Paper›PMID 22858680›Full record

ArticleRNA biology2012

Spatio-temporal regulation of ADAR editing during development in porcine neural tissues.

Morten T Venø, Jesper B Bramsen, Christian Bendixen, Frank Panitz, Ida Elisabeth Holm, Marie Öhman, Jørgen Kjems

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

29 citing papers in PubMed, 41 citations in OpenAlex.

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  13. Developmental atlas of the RNA editome in Sus scrofa skeletal muscle.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  14. Article
  15. Genome-wide profiling of RNA editing sites in sheep.Journal of animal science and biotechnology · 2019
    Article
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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

7 authors at 3 institutions in 2 countries.

Morten T VenøDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark.
Jesper B Bramsen
Christian Bendixen
Frank Panitz
Ida Elisabeth Holm
Marie Öhman
Jørgen Kjems
Aarhus University · DKRegional Hospital Randers · DKStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Editing by ADAR enzymes is essential for mammalian life. Still, knowledge of the spatio-temporal editing patterns in mammals is limited. By use of 454 amplicon sequencing we examined the editing status of 12 regionally extracted mRNAs from porcine developing brain encompassing a total of 64 putative ADAR editing sites. In total 24 brain tissues, dissected from up to five regions from embryonic gestation day 23, 42, 60, 80, 100 and 115, were examined for editing.   Generally, editing increased during embryonic development concomitantly with an increase in ADAR2 mRNA level. Notably, the Gria2 (GluR-B) Q/R site, reported to be ~100% edited in previous studies, is only 54% edited at embryonic day 23. Transcripts with multiple editing sites in close proximity to each other exhibit coupled editing and an extraordinary incidence of long-range coupling of editing events more than 32 kb apart is observed for the kainate glutamate receptor 2 transcript, Grik2. Our study reveals complex spatio-temporal ADAR editing patterns of coordinated editing events that may play important roles in the development of the mammalian brain.

Indexed as

RNA EditingAdenosine DeaminaseAnimalsBrainHumansMiceSequence Analysis, DNASus scrofaAdenosine Deaminase

Identifiers

PMID22858680
PMCPMC3551860
OpenAlexW2070280958

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.