Evidence map›Paper›PMID 38192612›Full record

ReviewMolecular therapy. Nucleic acids2024

Recommendations for detection, validation, and evaluation of RNA editing events in cardiovascular and neurological/neurodegenerative diseases.

Korina Karagianni, Alessia Bibi, Alisia Madé, Shubhra Acharya, Mikko Parkkonen, Teodora Barbalata, Prashant K Srivastava, David de Gonzalo-Calvo, Constanza Emanueli, Fabio Martelli and 4 more

Open access · goldAbstract readReview
In one paragraph

Review in Molecular therapy. Nucleic acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Comprehensive characterization of the RNA editing landscape in the human aging brains with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Review
  9. Multiomic biomarkers after cardiac arrest.Intensive care medicine experimental · 2024
    Review
  10. 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

14 authors at 10 institutions in 9 countries.

Korina KaragianniDepartment of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
Alessia BibiMolecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097 Milan, Italy.
Alisia MadéMolecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097 Milan, Italy.
Shubhra AcharyaCardiovascular Research Unit, Luxembourg Institute of Health, Strassen, Luxembourg.
Mikko ParkkonenResearch Unit of Biomedicine and Internal Medicine, Department of Pharmacology and Toxicology, University of Oulu, Oulu, Finland.
Teodora BarbalataLipidomics Department, Institute of Cellular Biology and Pathology "Nicolae Simionescu" of the Romanian Academy, 8, B. P. Hasdeu Street, 050568 Bucharest, Romania.
Prashant K SrivastavaNational Heart & Lung Institute, Imperial College London, London, UK.
David de Gonzalo-CalvoTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Constanza EmanueliNational Heart & Lung Institute, Imperial College London, London, UK.
Fabio MartelliMolecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, 20097 Milan, Italy.
Yvan DevauxCardiovascular Research Unit, Luxembourg Institute of Health, Strassen, Luxembourg.
Dimitra DafouDepartment of Genetics, Development, and Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.
A Yaël NossentDepartment of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
EU-CardioRNA COST Action CA17129
Aristotle University of Thessaloniki · GRImperial College London · GBIRCCS Policlinico San Donato · ITInstituto de Salud Carlos III · ESLuxembourg Institute of Health · LURomanian Academy · ROUniversity of Copenhagen · DKUniversity of Luxembourg · LUUniversity of Milan · ITUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing, a common and potentially highly functional form of RNA modification, encompasses two different RNA modifications, namely adenosine to inosine (A-to-I) and cytidine to uridine (C-to-U) editing. As inosines are interpreted as guanosines by the cellular machinery, both A-to-I and C-to-U editing change the nucleotide sequence of the RNA. Editing events in coding sequences have the potential to change the amino acid sequence of proteins, whereas editing events in noncoding RNAs can, for example, affect microRNA target binding. With advancing RNA sequencing technology, more RNA editing events are being discovered, studied, and reported. However, RNA editing events are still often overlooked or discarded as sequence read quality defects. With this position paper, we aim to provide guidelines and recommendations for the detection, validation, and follow-up experiments to study RNA editing, taking examples from the fields of cardiovascular and brain disease. We discuss all steps, from sample collection, storage, and preparation, to different strategies for RNA sequencing and editing-sensitive data analysis strategies, to validation and follow-up experiments, as well as potential pitfalls and gaps in the available technologies. This paper may be used as an experimental guideline for RNA editing studies in any disease context.

Indexed as

A-to-I editingcardiovascular diseaseC-to-U editingmethodologyMT: RNA/DNA editingneurodegenerative diseaseneurovascular diseaseRNA editing

Identifiers

PMID38192612
PMCPMC10772297
OpenAlexW4389328480

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.