Cargando…
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
BACKGROUND: A-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 p...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307200/ https://www.ncbi.nlm.nih.gov/pubmed/30587120 http://dx.doi.org/10.1186/s12864-018-5364-8 |
_version_ | 1783382952167604224 |
---|---|
author | Giacopuzzi, Edoardo Gennarelli, Massimo Sacco, Chiara Filippini, Alice Mingardi, Jessica Magri, Chiara Barbon, Alessandro |
author_facet | Giacopuzzi, Edoardo Gennarelli, Massimo Sacco, Chiara Filippini, Alice Mingardi, Jessica Magri, Chiara Barbon, Alessandro |
author_sort | Giacopuzzi, Edoardo |
collection | PubMed |
description | BACKGROUND: A-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. RESULTS: We 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. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5364-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6307200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63072002019-01-02 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 Giacopuzzi, Edoardo Gennarelli, Massimo Sacco, Chiara Filippini, Alice Mingardi, Jessica Magri, Chiara Barbon, Alessandro BMC Genomics Research Article BACKGROUND: A-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. RESULTS: We 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. CONCLUSIONS: Our 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5364-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-27 /pmc/articles/PMC6307200/ /pubmed/30587120 http://dx.doi.org/10.1186/s12864-018-5364-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Giacopuzzi, Edoardo Gennarelli, Massimo Sacco, Chiara Filippini, Alice Mingardi, Jessica Magri, Chiara Barbon, Alessandro 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6307200/ https://www.ncbi.nlm.nih.gov/pubmed/30587120 http://dx.doi.org/10.1186/s12864-018-5364-8 |
work_keys_str_mv | AT giacopuzziedoardo genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT gennarellimassimo genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT saccochiara genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT filippinialice genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT mingardijessica genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT magrichiara genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables AT barbonalessandro genomewideanalysisofconsistentlyrnaeditedsitesinhumanbloodrevealsinteractionswithmrnaprocessinggenesandsuggestscorrelationswithcelltypesandbiologicalvariables |