Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: E-GEOD-23205
PROVIDER: PRJNA131645 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A genetic study of the PRF1 gene has shown association of several polymorphisms with multiple sclerosis (MS). Haplotype analysis identified risk haplotypes strongly associated with male patients having the primary-progressive form of MS (PPMS). Gene expression microarrays were performed in 10 male PPMS patients carrying the risk (n=6) and protective haplotypes (n=4) in order to identify pathways associated with the risk haplotypes. Pathway analysis revealed overrepresentation of the cell killing gene ontology category among down-regulated genes in patients carrying risk haplotypes compared with patients carrying protective haplotypes. Number of samples analyzed: 10 Protective haplotype samples: UOM982, EMA1473, MMC-998, CDP1842 Risk haplotype samples: UUS1554, RAU1550, RPS1011, AGS1013, PFB1530, MGA1014
2010-07-28 | E-GEOD-23205 | biostudies-arrayexpress
Project description:A genetic study of the PRF1 gene has shown association of several polymorphisms with multiple sclerosis (MS). Haplotype analysis identified risk haplotypes strongly associated with male patients having the primary-progressive form of MS (PPMS). Gene expression microarrays were performed in 10 male PPMS patients carrying the risk (n=6) and protective haplotypes (n=4) in order to identify pathways associated with the risk haplotypes. Pathway analysis revealed overrepresentation of the cell killing gene ontology category among down-regulated genes in patients carrying risk haplotypes compared with patients carrying protective haplotypes.
2010-07-28 | GSE23205 | GEO
Project description:Transcription profiling of peripheral blood from patients with primary progressive multiple sclerosis to compare risk and protective PRF1 haplotypes
2025-01-24 | E-GEOD-23205 | ExpressionAtlas
Project description:We analyzed the transcriptome profile of B cells from patients with relapsing-remitting multiple sclerosis (RRMS), patients with primary progressive multiple sclerosis (PPMS) and healthy individuals. High-density Clariom D Arrays for human were used to quantify the transcript levels. This GEO entry provides the processed Clariom D microarray data from the gene-level and exon-level workflows.
2021-12-14 | GSE190847 | GEO
Project description:Progressive multiple sclerosis
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Project description:Multiple Sclerosis is a complex neurological disorder characterised by inflammation, demyelination, and neurodegeneration of the central nervous system. While treatments exist for relapsing-remitting multiple sclerosis, therapeutic options for the progressive forms remain limited, highlighting the need to understand their distinct pathological mechanisms. To identify subtype specific molecular signatures in patients with multiple sclerosis, bulk RNA sequencing was performed in 90 brain tissue samples from donors with relapsing-remitting, secondary progressive, and primary progressive multiple sclerosis, as well as controls without the disease. This study provides open access to transcriptomic data from multiple sclerosis tissue samples, enabling other researchers to perform independent analyses, validate findings, and generate new hypotheses.
2025-02-26 | GSE290552 | GEO
Project description:Multiple Sclerosis is a complex neurological disorder characterised by inflammation, demyelination, and neurodegeneration of the central nervous system. While treatments exist for relapsing-remitting multiple sclerosis, therapeutic options for the progressive forms remain limited, highlighting the need to understand their distinct pathological mechanisms. To identify subtype specific molecular signatures in patients with multiple sclerosis, bulk RNA sequencing was performed in 90 brain tissue samples from donors with relapsing-remitting, secondary progressive, and primary progressive multiple sclerosis, as well as controls without the disease. This study provides open access to transcriptomic data from multiple sclerosis tissue samples, enabling other researchers to perform independent analyses, validate findings, and generate new hypotheses.
2025-02-26 | GSE290450 | GEO
Project description:One of the most challenging aspects in multiple sclerosis (MS) research is to understand the mechanisms leading to neurodegeneration and subsequent tissue repair. Here, we aimed to identify biomarkers associated with the progressive phases of the disease that may have neuroprotective potential. To achieve this, we performed a bioinformatic approach integrating transcriptional and proteomic profiles obtained during the course of experimental autoimmune encephalomyelitis (EAE) combined with gene expression microarray data from neuronal differentiation. Integrative analysis of omics data identified two molecules, serine (or cysteine) peptidase inhibitor, clade A, member 3N (Serpina3n) and S100 calcium binding protein A4 (S100A4), as biomarkers up-regulated in chronic progressive EAE whose expression was also induced during neuronal differentiation. Immunofluorescence studies revealed a primarily neuronal expression of Serpina3n and S100A4 during EAE as reflected by their co-localization with β-III-Tubulin in neurons from cerebellum, hippocampus and spinal cord tissues during EAE. Finally, levels of SERPINA3, the human ortholog of murine Serpina3n also known as α1-antichymotrypsin, and S100A4 were increased in cerebrospinal fluid of MS patients compared with non-inflammatory neurological controls. However, only SERPINA3 showed differences across MS clinical forms and levels were significantly elevated in patients with progressive forms of the disease, particularly in patients with primary progressive MS, compared with relapsing-remitting MS and neurological controls. Altogether, these results point to a role of SERPINA3 as biomarker associated with the progressive forms of MS that may also have neuroregenerative potential
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Project description:Microarray analysis of cerebral corted from patients with progressive multiple sclerosis, meningitis tuberculosis, Alzheimers disease as well as of normal cortex
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Project description:The transcriptome of normal-appearing white matter for relapse-remitting multiple sclerosis (MS), primary progressive MS and secondary progressive MS was determined using total RNA-sequencing. We then performed a differential gene analysis comparing the normal-appearing white matter for each clinical subtype of MS with non-MS control tissue
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