Evidence map›Paper›PMID 22957051›Full record

ArticlePloS one2012

A novel computational strategy to identify A-to-I RNA editing sites by RNA-Seq data: de novo detection in human spinal cord tissue.

Ernesto Picardi, Angela Gallo, Federica Galeano, Sara Tomaselli, Graziano Pesole

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Going global: the new era of mapping modifications in RNA.Wiley interdisciplinary reviews. RNA · 2017
    Review
  2. Building an RNA Sequencing Transcriptome of the Central Nervous System.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2016
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Knowledge in the Investigation of A-to-I RNA Editing Signals.Frontiers in bioengineering and biotechnology · 2015
    Article
  8. Article
  9. Article
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

5 authors at 2 institutions in 1 country.

Ernesto PicardiDipartimento di Bioscienze, Biotecnologie e Scienze Farmacologiche, Università di Bari, Bari, Italy.
Angela Gallo
Federica Galeano
Sara Tomaselli
Graziano Pesole
Bambino Gesù Children's Hospital · ITInstitute of Biomembranes, Bioenergetics and Molecular Biotechnologies · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing is a post-transcriptional process occurring in a wide range of organisms. In human brain, the A-to-I RNA editing, in which individual adenosine (A) bases in pre-mRNA are modified to yield inosine (I), is the most frequent event. Modulating gene expression, RNA editing is essential for cellular homeostasis. Indeed, its deregulation has been linked to several neurological and neurodegenerative diseases. To date, many RNA editing sites have been identified by next generation sequencing technologies employing massive transcriptome sequencing together with whole genome or exome sequencing. While genome and transcriptome reads are not always available for single individuals, RNA-Seq data are widespread through public databases and represent a relevant source of yet unexplored RNA editing sites. In this context, we propose a simple computational strategy to identify genomic positions enriched in novel hypothetical RNA editing events by means of a new two-steps mapping procedure requiring only RNA-Seq data and no a priori knowledge of RNA editing characteristics and genomic reads. We assessed the suitability of our procedure by confirming A-to-I candidates using conventional Sanger sequencing and performing RNA-Seq as well as whole exome sequencing of human spinal cord tissue from a single individual.

Indexed as

RNA EditingAdenosineAlgorithmsBrainComputational BiologyDatabases, GeneticExomeGene Expression RegulationGenome, HumanGenomicsHomeostasisHumansInosineNeurodegenerative DiseasesReproducibility of ResultsSoftwareAdenosineInosine

Identifiers

PMID22957051
PMCPMC3434223
OpenAlexW2010169321

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.