Evidence map›Paper›PMID 30587120›Full record

ArticleBMC genomics2018

Genome-wide analysis of consistently RNA edited sites in human blood reveals interactions with mRNA processing genes and suggests correlations with cell types and biological variables.

Edoardo Giacopuzzi, Massimo Gennarelli, Chiara Sacco, Alice Filippini, Jessica Mingardi, Chiara Magri, Alessandro Barbon

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 38% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

7 authors at 2 institutions in 1 country.

Edoardo GiacopuzziGenetics Unit, IRCCS Istituto Centro S. Giovanni di Dio, Fatebenefratelli, 25123, Brescia, Italy.
Massimo GennarelliGenetics Unit, IRCCS Istituto Centro S. Giovanni di Dio, Fatebenefratelli, 25123, Brescia, Italy.
Chiara SaccoGenetics Unit, IRCCS Istituto Centro S. Giovanni di Dio, Fatebenefratelli, 25123, Brescia, Italy.
Alice FilippiniDepartment of Molecular and Translational Medicine, Biology and Genetic Unit, University of Brescia, 25123, Brescia, Italy.
Jessica MingardiDepartment of Molecular and Translational Medicine, Biology and Genetic Unit, University of Brescia, 25123, Brescia, Italy.
Chiara MagriDepartment of Molecular and Translational Medicine, Biology and Genetic Unit, University of Brescia, 25123, Brescia, Italy.
Alessandro BarbonDepartment of Molecular and Translational Medicine, Biology and Genetic Unit, University of Brescia, 25123, Brescia, Italy. alessandro.barbon@unibs.it.ORCID http://orcid.org/0000-0002-1127-7764
University of Brescia · ITCentro San Giovanni di Dio Fatebenefratelli · IT

Funding

Depression susceptibility genes and networks: expression, eQTL and GWAS analysisRC2MH089916 · NIMH · STANFORD UNIVERSITY · PI LEVINSON, DOUGLAS FREDERICK · 2009 to 2010
$3.4M
Methods for high-resolution analysis of genetic effects on gene expressionR01MH090941 · NIMH · UNIVERSITY OF GENEVA · PI DERMITZAKIS, EMMANOUIL, GUIGO, RODERIC · 2010 to 2012
$863k
NIMH NIH HHS R01 MH090941NIMH NIH HHS RC2 MH089916
6 · The paper itself

Abstract

backgroundA-to-I RNA editing is a co-/post-transcriptional modification catalyzed by ADAR enzymes, that deaminates Adenosines (A) into Inosines (I). Most of known editing events are located within inverted ALU repeats, but they also occur in coding sequences and may alter the function of encoded proteins. RNA editing contributes to generate transcriptomic diversity and it is found altered in cancer, autoimmune and neurological disorders. Emerging evidences indicate that editing process could be influenced by genetic variations, biological and environmental variables.

resultsWe analyzed RNA editing levels in human blood using RNA-seq data from 459 healthy individuals and identified 2079 sites consistently edited in this tissue. As expected, analysis of gene expression revealed that ADAR is the major contributor to editing on these sites, explaining ~ 13% of observed variability. After removing ADAR effect, we found significant associations for 1122 genes, mainly involved in RNA processing. These genes were significantly enriched in genes encoding proteins interacting with ADARs, including 276 potential ADARs interactors and 9 ADARs direct partners. In addition, our analysis revealed several factors potentially influencing RNA editing in blood, including cell composition, age, Body Mass Index, smoke and alcohol consumption. Finally, we identified genetic loci associated with editing levels, including known ADAR eQTLs and a small region on chromosome 7, containing LOC730338, a lincRNA gene that appears to modulate ADARs mRNA expression.

conclusionsOur data provides a detailed picture of the most relevant RNA editing events and their variability in human blood, giving interesting insights on potential mechanisms behind this post-transcriptional modification and its regulation in this tissue.

Indexed as

RNA EditingAdenosine DeaminaseB-LymphocytesCell LineChromosomes, Human, Pair 7HumansPrincipal Component AnalysisProtein Interaction MapsQuantitative Trait LociRNA, Long NoncodingRNA, MessengerAdenosine DeaminaseRNA, Long NoncodingRNA, MessengerADAR1ADAR2BloodRNA editingRNA-seq

Identifiers

PMID30587120
PMCPMC6307200
OpenAlexW2903198674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.