Cargando…

Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes

Abnormalities in RNA metabolism and alternative splicing (AS) are emerging as important players in complex disease phenotypes. In particular, accumulating evidence suggests the existence of pathogenic links between multiple sclerosis (MS) and altered AS, including functional studies showing that an...

Descripción completa

Detalles Bibliográficos
Autores principales: Paraboschi, Elvezia Maria, Cardamone, Giulia, Rimoldi, Valeria, Gemmati, Donato, Spreafico, Marta, Duga, Stefano, Soldà, Giulia, Asselta, Rosanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632709/
https://www.ncbi.nlm.nih.gov/pubmed/26437396
http://dx.doi.org/10.3390/ijms161023463
_version_ 1782399078075727872
author Paraboschi, Elvezia Maria
Cardamone, Giulia
Rimoldi, Valeria
Gemmati, Donato
Spreafico, Marta
Duga, Stefano
Soldà, Giulia
Asselta, Rosanna
author_facet Paraboschi, Elvezia Maria
Cardamone, Giulia
Rimoldi, Valeria
Gemmati, Donato
Spreafico, Marta
Duga, Stefano
Soldà, Giulia
Asselta, Rosanna
author_sort Paraboschi, Elvezia Maria
collection PubMed
description Abnormalities in RNA metabolism and alternative splicing (AS) are emerging as important players in complex disease phenotypes. In particular, accumulating evidence suggests the existence of pathogenic links between multiple sclerosis (MS) and altered AS, including functional studies showing that an imbalance in alternatively-spliced isoforms may contribute to disease etiology. Here, we tested whether the altered expression of AS-related genes represents a MS-specific signature. A comprehensive comparative analysis of gene expression profiles of publicly-available microarray datasets (190 MS cases, 182 controls), followed by gene-ontology enrichment analysis, highlighted a significant enrichment for differentially-expressed genes involved in RNA metabolism/AS. In detail, a total of 17 genes were found to be differentially expressed in MS in multiple datasets, with CELF1 being dysregulated in five out of seven studies. We confirmed CELF1 downregulation in MS (p = 0.0015) by real-time RT-PCRs on RNA extracted from blood cells of 30 cases and 30 controls. As a proof of concept, we experimentally verified the unbalance in alternatively-spliced isoforms in MS of the NFAT5 gene, a putative CELF1 target. In conclusion, for the first time we provide evidence of a consistent dysregulation of splicing-related genes in MS and we discuss its possible implications in modulating specific AS events in MS susceptibility genes.
format Online
Article
Text
id pubmed-4632709
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-46327092015-11-23 Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes Paraboschi, Elvezia Maria Cardamone, Giulia Rimoldi, Valeria Gemmati, Donato Spreafico, Marta Duga, Stefano Soldà, Giulia Asselta, Rosanna Int J Mol Sci Article Abnormalities in RNA metabolism and alternative splicing (AS) are emerging as important players in complex disease phenotypes. In particular, accumulating evidence suggests the existence of pathogenic links between multiple sclerosis (MS) and altered AS, including functional studies showing that an imbalance in alternatively-spliced isoforms may contribute to disease etiology. Here, we tested whether the altered expression of AS-related genes represents a MS-specific signature. A comprehensive comparative analysis of gene expression profiles of publicly-available microarray datasets (190 MS cases, 182 controls), followed by gene-ontology enrichment analysis, highlighted a significant enrichment for differentially-expressed genes involved in RNA metabolism/AS. In detail, a total of 17 genes were found to be differentially expressed in MS in multiple datasets, with CELF1 being dysregulated in five out of seven studies. We confirmed CELF1 downregulation in MS (p = 0.0015) by real-time RT-PCRs on RNA extracted from blood cells of 30 cases and 30 controls. As a proof of concept, we experimentally verified the unbalance in alternatively-spliced isoforms in MS of the NFAT5 gene, a putative CELF1 target. In conclusion, for the first time we provide evidence of a consistent dysregulation of splicing-related genes in MS and we discuss its possible implications in modulating specific AS events in MS susceptibility genes. MDPI 2015-09-30 /pmc/articles/PMC4632709/ /pubmed/26437396 http://dx.doi.org/10.3390/ijms161023463 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Paraboschi, Elvezia Maria
Cardamone, Giulia
Rimoldi, Valeria
Gemmati, Donato
Spreafico, Marta
Duga, Stefano
Soldà, Giulia
Asselta, Rosanna
Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title_full Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title_fullStr Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title_full_unstemmed Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title_short Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes
title_sort meta-analysis of multiple sclerosis microarray data reveals dysregulation in rna splicing regulatory genes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632709/
https://www.ncbi.nlm.nih.gov/pubmed/26437396
http://dx.doi.org/10.3390/ijms161023463
work_keys_str_mv AT paraboschielveziamaria metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT cardamonegiulia metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT rimoldivaleria metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT gemmatidonato metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT spreaficomarta metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT dugastefano metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT soldagiulia metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes
AT asseltarosanna metaanalysisofmultiplesclerosismicroarraydatarevealsdysregulationinrnasplicingregulatorygenes