Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

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

altmetric image

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]

Similar Datasets

2023-01-31 | E-MTAB-11415 | biostudies-arrayexpress
2015-03-10 | E-GEOD-66573 | biostudies-arrayexpress
2024-03-07 | GSE247181 | GEO
2015-03-10 | GSE66573 | GEO
2019-07-31 | GSE130491 | GEO
2019-07-31 | GSE130478 | GEO
2020-08-31 | GSE133028 | GEO
2023-04-14 | GSE227954 | GEO
2019-01-11 | GSE124900 | GEO
2016-05-20 | GSE81598 | GEO