Multiple Sclerosis Blood Cell mRNA Transcriptome
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE17048 | GEO | 2010/04/02
SECONDARY ACCESSION(S): PRJNA117773
REPOSITORIES: GEO
Similar Datasets
Project description:We measured mRNA expression for all known genes in whole blood from 144 individuals, 99 with MS (43 PPMS, 36 RRMS and 20 SPMS). Analysis of gene expression and genotype in these individuals has indicated the dominant genetic association with T cell regulation is matched by the dominant pattern of dysregulation of T cell gene expression in MS and its clinical subtypes. Whole blood mRNA expression was compared between different types of MS and age-matched healthy control to identify differentially expressed genes between them. The supplementary file 'GSE17048_non-normalized_data.txt' contains non-normalized data for Samples GSM426595-GSM426738.
2010-04-13 | E-GEOD-17048 | biostudies-arrayexpress
Project description:Transcriptome analysis of RNA samples from human PBMCs of IFN-beta-1a (Rebif) therapy in secondary progressive multiple sclerosis (SPMS) patients. Objective: Untreated multiple sclerosis is inflammatory, with decreased immune control and subnormal type I interferon (IFN) signaling. IFN-ß therapy corrects abnormal IFN-ß signaling, reduces inflammation on MRI, exacerbations, and disease worsening in relapsing-remitting MS (RRMS). For unclear reasons, secondary progressive MS (SPMS) exhibits waning attacks, relentless neurodegeneration, and diminished benefits of therapy. Methods: Peripheral blood mononuclear cells and serum were from 10 healthy controls (HC), 9 therapy-naive RRMS, 20 therapy-naïve SPMS, and 10 IFN-ß-treated SPMS patients after therapy washout and four hours after IFN-ß-1a injection. Global gene expression was assayed with sensitive RNA microarrays and multiplexed serum immune and neuroprotective protein assays. Results: Therapy-naive RRMS cells displayed 8,723 differentially expressed genes (DEG), compared to HC, vs. d only 3,936 DEG in therapy-naive SPMS. In SPMS, gene expression was subnormal in the WNT/ß-catenin pathway that suppresses inflammation and enhances blood-brain barrier integrity. Olfactory receptor (OR) genes, linked to lymphocyte migration, were overexpressed in RRMS (111 DEG), intermediate in SPMS (34 DEG) vs. HC, differentiating RRMS from SPMS (p < 0.007). IFN-ß injections in SPMS decreased expression of pro-inflammatory genes and increased anti-inflammatory, anti-oxidant metallothionein genes. Pro-inflammatory and anti-inflammatory protein levels were balanced in HC, disrupted in RRMS, and intermediate in SPMS. Interpretation: Aberrant gene expression seen in RRMS wanes in SPMS, paralleling fewer clinical exacerbations and diminished therapeutic responses. Novel biomarkers for SPMS suggest new targets to correct subnormal immune regulation and brain repair in this neurodegenerative disease.
2024-03-07 | GSE247181 | GEO
Project description:This study provides an overview of the transcriptional signature of oligodendrocyte progenitor cells (OPCs) exposed to the CSF collected from multiple sclerosis patients with either a relapsing remitting disease course (RRMS) or a confirmed primary progressive diagnosis (PPMS). Using an Affymetrix microarray we were able to detect a set of common and unique genes for each treatment group. Gene ontology analysis revealed a common group of genes involved in protein transport, actin dynamics and response to stress and DNA damage, while the RRMS-specific genes were grouped according to protein complex biogenesis, nuclear transport and RNA processing. The transcriptional signature of progenitors exposed to PPMS was characterized by an up-regulation of the pro-differentiation adhesion molecule Lgals3. We confirmed increased protein levels of its gene product,product; galectin-3 in proliferating OPCs incubated with CSF from PPMS patients and also found a four-fold increase in mRNA transcript levels of galectin-3 in human post-mortem normal-appearing white matter samples of primary progressive MS patients when compared to non-neurological controls. This study will help to better understand the common and specific transcriptional changes induced in the different subtypes of MS and therefore find more specific molecular targets for each disease subtype. Comparison of transcriptional signature by microarray analysis of OPCs treated with RRMS and PPMS CSF.
2015-06-19 | E-GEOD-60881 | biostudies-arrayexpress
Project description:Multiple sclerosis (MS) is the most common neurological disorder in young adults and is classically defined as a chronic inflammatory demyelinating disease of the central nervous system (CNS). Although MS affects millions of people worldwide, its underlying cause remains unknown making discovery of effective treatments challenging. Whether intrinsic or extrinsic factors contribute to MS initiation and progression is still unclear. This is especially true for primary progressive MS (PPMS), the rarest form of the disease, in which progressive and irreversible loss of neurological function is often observed in the absence of an overt immune-inflammatory response. To test the hypothesis that intrinsic dysfunction in oligodendrocytes (OLs), the primary targets of damage in MS, may contribute to PPMS etiopathology, we differentiated human induced pluripotent stem cell (hiPSC) lines derived from PPMS and healthy individuals into mature OLs to compare their transcriptional profile. PPMS derived OLs displayed hundreds of differentially expressed genes compared to control OLs, many associated with cell adhesion, apoptosis and inflammation, including the inflammasome component Nlrp2, which was highly upregulated. NLRP2 immunoreactivity in OLs was confirmed in post-mortem PPMS brain tissues, with higher expression than in control tissues. Altogether, our findings suggest that mature OLs in PPMS affected individuals carry intrinsic abnormalities that could contribute, at least in part, to the pathophysiology of this form of the disease.
2022-08-26 | GSE211739 | GEO
Project description:This study provides an overview of the transcriptional signature of oligodendrocyte progenitor cells (OPCs) exposed to the CSF collected from multiple sclerosis patients with either a relapsing remitting disease course (RRMS) or a confirmed primary progressive diagnosis (PPMS). Using an Affymetrix microarray we were able to detect a set of common and unique genes for each treatment group. Gene ontology analysis revealed a common group of genes involved in protein transport, actin dynamics and response to stress and DNA damage, while the RRMS-specific genes were grouped according to protein complex biogenesis, nuclear transport and RNA processing. The transcriptional signature of progenitors exposed to PPMS was characterized by an up-regulation of the pro-differentiation adhesion molecule Lgals3. We confirmed increased protein levels of its gene product,product; galectin-3 in proliferating OPCs incubated with CSF from PPMS patients and also found a four-fold increase in mRNA transcript levels of galectin-3 in human post-mortem normal-appearing white matter samples of primary progressive MS patients when compared to non-neurological controls. This study will help to better understand the common and specific transcriptional changes induced in the different subtypes of MS and therefore find more specific molecular targets for each disease subtype.
2015-06-19 | GSE60881 | GEO
Project description:Interferon (IFN) beta-1a is an approved treatment for relapsing remitting multiple sclerosis (RRMS) and has been examined for use in secondary progressive multiple sclerosis (SPMS). However, no information regarding blood transcriptional changes induced by IFN treatment in SPMS patients is available. Our aim was to identify a subgroup of SPMS patients presenting a gene expression signature similar to that of RRMS patients who are clinical responders to IFN treatment.
2015-10-06 | GSE73608 | GEO
Project description:Background Multiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis. Methods We measured DNA methylation in CD4+ T cells (n=31), CD8+ T cells (n=28), CD14+ monocytes (n=35) and CD19+ B cells (n=27) from relapsing-remitting (RRMS), secondary progressive (SPMS) patients and healthy controls (HC) using Infinium HumanMethylation450 arrays. Monocyte (n=25) and whole blood (n=275) cohorts were used for validations. Findings B cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster. Interpretation We utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular.
2019-06-01 | GSE130030 | GEO
Project description:Background Multiple Sclerosis (MS) is a chronic inflammatory disease and a leading cause of progressive neurological disability among young adults. DNA methylation, which intersects genes and environment to control cellular functions on a molecular level, may provide insights into MS pathogenesis. Methods We measured DNA methylation in CD4+ T cells (n=31), CD8+ T cells (n=28), CD14+ monocytes (n=35) and CD19+ B cells (n=27) from relapsing-remitting (RRMS), secondary progressive (SPMS) patients and healthy controls (HC) using Infinium HumanMethylation450 arrays. Monocyte (n=25) and whole blood (n=275) cohorts were used for validations. Findings B cells from MS patients displayed most significant differentially methylated positions (DMPs), followed by monocytes, while only few DMPs were detected in T cells. We implemented a non-parametric combination framework (omicsNPC) to increase discovery power by combining evidence from all four cell types. Identified shared DMPs co-localized at MS risk loci and clustered into distinct groups. Functional exploration of changes discriminating RRMS and SPMS from HC implicated lymphocyte signaling, T cell activation and migration. SPMS-specific changes, on the other hand, implicated myeloid cell functions and metabolism. Interestingly, neuronal and neurodegenerative genes and pathways were also specifically enriched in the SPMS cluster. Interpretation We utilized a statistical framework (omicsNPC) that combines multiple layers of evidence to identify DNA methylation changes that provide new insights into MS pathogenesis in general, and disease progression, in particular.
2019-06-01 | GSE130029 | GEO
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:<p>This is a multi-centre, case-controlled study to develop a dataset containing 1000 MS cases and 1000 matched controls and to associate DNA sequence (allelic) variations with MS phenotypes.</p> <p>Study subjects were enrolled through a prospective effort initiated in 2003. Three MS clinical centres were involved in subject recruitment and biological specimen collection using identical inclusion/exclusion criteria, two in Europe (Vrije Universiteit Medical Center, Amsterdam; and University Hospital Basel) and one in the US (University of California San Francisco). This study recruited subjects of northern-European ancestry with a diagnosis of MS (<a href="http://www.ncbi.nlm.nih.gov/pubmed/11456302" target="_blank">McDonald et al., 2001</a>), with dissemination in time and space. Patients with Clinically Isolated Syndromes (CIS) were also included if they fulfilled 3 of the 4 Barkhof criteria for dissemination in space as per application of the McDonald criteria (<a href="http://www.ncbi.nlm.nih.gov/pubmed/11456302" target="_blank">McDonald et al., 2001</a>). While recruitment predominantly included subjects with a relapsing onset of MS, individuals with all clinical subtypes of the disease participated, including clinically isolated syndrome (CIS), relapsing remitting MS (RRMS), secondary progressive MS (SPMS), primary progressive MS (PPMS), and progressive relapsing MS (PRMS).</p> <p>The control group consisted of unrelated individuals, primarily spouses/partners, friends, and other volunteers. Control subjects were of northern-European ancestry and matched as a group, proportionally with cases according to age (±5 years) and gender. A familial history or current diagnosis of MS as well as a relation to another case or control subject were considered exclusionary for this group.</p> <p>Protocols were approved by the Committees on Human Research at all Institutions and informed consent was obtained from all participants prior to participation in the study.</p> <p><b>Primary Study Objective:</b><br/>To identify DNA sequence variations (genotype) and flanking sequences that are associated with clinical factors (phenotype) which differ between study subjects with and without MS.</p> <p><b>Secondary Study Objectives:</b> <ol> <li>To develop a clinical dataset including quantitative measures of 1000 well-characterized cases with MS, and 1000 ethnically matched controls.</li> <li>To identify other genotype-phenotype associations in MS study subjects such as magnetic resonance imaging (MRI) measures of disease burden and/or severity.</li> <li>To identify or confirm candidate surrogate markers of neurodegeneration using a variety of techniques including biochemical assays, blood transcriptome analysis, plasma proteomics and MRI*.</li> </ol> </p> <p><b><u>Genotyping</u></b><br/>Genotyping of the complete dataset was performed at the Illumina facilities using the Sentrix® HumanHap550 BeadChip.</p> <p><small><i>*MRI results are not available on dbGaP.</i></small></p>
| phs000171 | dbGaP