International Journal of Molecular Sciences | |
Meta-Analysis of Multiple Sclerosis Microarray Data Reveals Dysregulation in RNA Splicing Regulatory Genes | |
Elvezia Maria Paraboschi3  Giulia Cardamone3  Valeria Rimoldi4  Donato Gemmati1  Marta Spreafico2  Stefano Duga4  Giulia Soldà4  Rosanna Asselta4  Akila Mayeda5  | |
[1] Center Haemostasis & Thrombosis, Department of Medical Sciences, Corso Giovecca 203, University of Ferrara, Ferrara 44121, Italy; E-Mail:;Department of Transfusion Medicine and Hematology, Azienda Ospedaliera della Provincia di Lecco, Alessandro Manzoni Hospital, Via dell’Eremo 9/11, Lecco 23900, Italy; E-Mail:;Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Via Viotti 3/5, Milan 20133, Italy; E-Mails:;Department of Biomedical Sciences, Humanitas University, Via Manzoni 113, Rozzano, Milan 20089, Italy; E-Mails:Dipartimento di Biotecnologie Mediche e Medicina Traslazionale, Università degli Studi di Milano, Via Viotti 3/5, Milan 20133, Italy; | |
关键词: alternative splicing; microarray; peripheral blood mononuclear cells; autoimmune neurodegenerative disorder; multiple sclerosis; | |
DOI : 10.3390/ijms161023463 | |
来源: mdpi | |
【 摘 要 】
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
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
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