Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling by array of peripheral blood mononuclear cells from male and female patients with relapsing remitting multiple sclerosis and healthy controls

ABSTRACT: We measured global mRNA expression in peripheral blood mononuclear cells (PBMC) from 45 individuals, comprising of 23 RRMS patients and 22 healthy controls. A gender-based case-control analysis was performed to derive the differentially expressed genes (DEG) in women and men. In contrast to the distinct blood gene signatures, several biological processes(gene ontology) related to transcriptional regulation was shared among the two gender-based DEG. Further, the systems biology analysis revealed that the several interactors were common to the female and male DEG, predominantly ones that participating in epigenetic regulation of gene expression.

ORGANISM(S): Homo sapiens

DISEASE(S): normal

SUBMITTER: Ramesh Menon

PROVIDER: E-MTAB-380 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gender-based blood transcriptomes and interactomes in multiple sclerosis: involvement of SP1 dependent gene transcription.

Menon Ramesh R Di Dario Marco M Cordiglieri Chiara C Musio Silvia S La Mantia Loredana L Milanese Clara C Di Stefano Anna Luisa AL Crabbio Massimo M Franciotta Diego D Bergamaschi Roberto R Pedotti Rosetta R Medico Enzo E Farina Cinthia C

Journal of autoimmunity 20111125 2-3

In this study we investigated the contribution of gender to global gene expression in peripheral blood mononuclear cells from multiple sclerosis (MS) patients and healthy controls. We observed that, in contrast to the conventional approach, gender-based case-control comparisons resulted in genelists with significantly reduced heterogeneity in human populations. In addition, MS was characterized by significant changes both in the quantity and in the quality of the sex-specific genes. Application ...[more]

PMID: 22119415

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Project description:One of our new major finding among the genes that contributes to MS susceptibility is ICSBP1. The so called disease modifying therapies like interferon-beta (IFN-β), possibly acting on the peripheral T-cells, reduce the disease activity and the clinical progression, with a MRI-detectable effect in preventing lesion burden and cerebral atrophy development in RR-MS. It suggests a critical role of peripheral blood mononuclear cells (PBMCs) immune response and modulation in developing inflammation in the brain. We tested the hypothesis that the genetic effect of the susceptible allele ICSBP1 can impact the gene expression profile of molecules belonging to the interferon pathway. We therefore interrogated the PBMC for changes in gene expression profile. We correlate those changes with the minor allele frequency for ICSBP1, performing independent quantitative trait analysis for each treatment category. Expression Quantitative Trait Loci Association with a p value < 0.05 have been used in follow up analysis. The regression coefficient of the Quantitative trait association represents the degree of correlation between the gene expression for each interrogated target gene and the minor allele frequency of the SNP for our gene of interest. This coefficient has been used as input in the subsequent Gene Set Enrichment Analysis performed in a pre-ranked approach. The resulting GSEA-SNP method rests on the assumption that SNPs underlying a disease phenotype might affect genes constituting a signaling pathway or genes with a common regulation. Therefore, GSEA-SNP can facilitate the identification of pathways or of underlying biological mechanisms. We used microarrays to capture gene expression profile of untreated subjects and of subjects under disease modyfing treatment (Interferon Beta and Glatiramer Acetate), in order to correlate gene expression and genotype data and in order to identify sets of genes specifically regulated in the different treatment categories.

Dataset Information

Transcription profiling by array of peripheral blood mononuclear cells from male and female patients with relapsing remitting multiple sclerosis and healthy controls

Publications

Gender-based blood transcriptomes and interactomes in multiple sclerosis: involvement of SP1 dependent gene transcription.

Similar Datasets

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