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GSE62584
Homo sapiens
59 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Optic neuritis (ON) is a common manifestation of multiple sclerosis (MS); it appears as the presenting symptom in about 25% of MS patients and occurs in 3070% of patients with MS during the course of their illness
Publication Title
The role of B cells in the early onset of the first demyelinating event of acute optic neuritis.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)
Description
Spontaneous neural repair from endogenous neural stem cells (NSCs) occurs in response to central nervous system (CNS) injuries or diseases to only a limited extent from endogenous NSCs niches. Uncovering the mechanisms that control neural repair and can be further manipulated to promote towards oligodendrocyte progenitors cells (OPCs) and myelinating oligodendrocytes is a major objective.
Publication Title
Prickle1 as positive regulator of oligodendrocyte differentiation.
Sample Metadata Fields
Sex, Age, Specimen part, Time
View Samples- Homo sapiens
- 90 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: The ability to predict the spatial frequency of relapses in multiple sclerosis (MS) would enable treating physicians to decide when to intervene more aggressively and to plan clinical trials more accurately. Methods: In the current study our objective was to determine if subsets of genes can predict the time to the next acute relapse in patients with MS. Data-mining and predictive modeling tools were utilized to analyze a gene-expression dataset of 94 non-treated patients; 62 patients with definite MS and 32 patients with clinically isolated syndrome (CIS). The dataset included the expression levels of 10,594 genes and annotated sequences corresponding to 22,215 gene-transcripts that appear in the microarray. Results: We designed a two stage predictor. The first stage predictor was based on the expression level of 10 genes, and predicted the time to next relapse with a resolution of 500 days (error rate 0.079, p< 0.001). If the predicted relapse was to occur in less than 500 days, a second stage predictor based on an additional different set of 9 genes was used, resulting in a prediction with a resolution of 50 days as to the timing of the next relapse. The error rate of this predictor was 2.3 fold lower than the error rate of random predictions (error rate = 0.35, p<0.001). The predictors were further evaluated and found effective not only in untreated patients but were also valid for MS patients which subsequently received immunomodulatory treatments after the initial testing (the error rate of the first level predictor was < 0.18 with p<0.001 for all the patient groups). Conclusions: We conclude that gene expression analysis is a valuable tool that can be used in clinical practice to predict future MS disease activity. Similar approach can be also useful for dealing with other autoimmune diseases that characterized by relapsing-remitting nature
Publication Title
Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 62 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Molecular mechanisms that influence susceptibility to multiple sclerosis are poorly understood. We conducted a gene expression study in healthy subjects that subsequently developed the disease. Gene expression profiles (HG U133A and A2, Affymetrix, 22,215 transcripts) of peripheral blood mononuclear cells were analyzed in 9 healthy subjects (mean age 19.8+1.1 years) up to 9 years (mean 5.11.2 years) before onset of MS (MS to be, MS2b), 11 age-, gender-, and origin-matched subjects that remained MS-free (MSf), and 31 clinically isolated syndrome (CIS) patients. Most informative genes (p<0.05) and significant biological processes were compared. 1051 genes (611 up-regulated, 440 down-regulated) were significantly different between MS2b and MSf subjects. MS2b signature was characterized by down-regulation of the nuclear receptor (NR) family genes including NR subfamily 4 group A member1 (NR4A1, p=0.01), member 3 (NR4A3, p=0.01), NR subfamily 2 group F member 2 (NR2F1, p=0.03) and vitamin D receptor (VDR, p=0.02), all known to be involved in T-cell regulation by apoptosis. Comparison between MS2b and CIS operating networks demonstrated evolution of the altered NR dependent apoptosis regulation. Decreased NR4A1 expression was verified at the mRNA and protein level in an independent cohort of 20 relapsing-remitting MS patients. The identified MS trait is associated with suppressed transcription of NR networks that leads to altered apoptosis of activated T cells and the development of clinical disease. MS2b subjects have already an ongoing process that eventually will lead to clinical disease and our finding are of importance as they suggest the possibility of early detection and prevention of MS.
Publication Title
Microarray analysis identifies altered regulation of nuclear receptor family members in the pre-disease state of multiple sclerosis.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 81 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
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.
Publication Title
Transcriptional response to interferon beta-1a treatment in patients with secondary progressive multiple sclerosis.
Sample Metadata Fields
Sex, Age, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
IlluminaHiSeq2500
Description
A three-dimensional chromatin state underpins the structural and functional basis of the genome by bringing regulatory elements and genes into close spatial proximity to ensure proper, cell-type specific gene expression profiles. Here, we perform HiC chromosome conformation, ChIP-seq and RNA-seq to investigate how the three-dimensional organization of the cancer genome is disrupted in the context of epigenetic remodelling and atypical gene expression programs. Overall design: Hi-C, ChIP-seq and RNA-seq were conducted in three human prostate cell lines: normal prostate epithelial cells (PrEC) and prostate cancer cells (PC3 and LNCaP).
Publication Title
Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 6 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
This sudy focuses on the identification of transcripts in the shoot phloem of the model plant Arabidopsis thaliana. Transcripts expressed in the phloem tissue (parenchyma cell, companion cell, sieve element) were excised by laser microdissection pressure catapulting (LMPC). These were compared with transcripts isolated from leaf phloem exudates by EDTA-chelation technique. Optimization of sample harvest resulted in RNA of high quality from both sources. Modifications of the RNA amplification procedure obtained RNA of sufficient yield and quality for microarray experiments. Microarrays (Affymetrix, ATH1) hybridized with RNA derived from phloem tissue by LMPC or phloem sap allowed us to differentiate between phloem located and mobile transcript species. The datasets provide a search criterion for phloem-based signals and will facilitate reverse genetic studies and forward genetic screens for phloem and long distance RNA signaling mutants.
Publication Title
Identification of Arabidopsis thaliana phloem RNAs provides a search criterion for phloem-based transcripts hidden in complex datasets of microarray experiments.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Metastasis to lymph nodes is an early and prognostically important event in the progression of many human cancers, and is associated with expression of vascular endothelial growth factor-D (VEGF-D). Changes to lymph node vasculature occur during metastasis, and may establish a metastatic niche capable of attracting and supporting tumor cells.
Publication Title
A role for bone morphogenetic protein-4 in lymph node vascular remodeling and primary tumor growth.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Evidence for Alteration of Gene Regulatory Networks through MicroRNAs of the HIV-infected brain: novel analysis of retrospective cases.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder (MDD) is a clinically defined entity with little understanding as to the underlying pathological substrate. Biologically, MDD is characterized by disruption of neurotransmitters, especially serotonin and noradrenaline, which are the main targets of antidepressants. We previously demonstrated significant reduction of glial cell number in the cingulate and dorsolateral prefrontal cortical regions. Unfortunately, individuals living with HIV still have very high rates of MDD, despite the fact that mortality rates have fallen sharply with effective antiretroviral treatment. It is possible that in this treatment era, living with chronic HIV infection may result in long-term neuropathological changes that predispose to MDD. For example, it is known that HIV is associated with a range of inflammatory pathologies, neuronal loss, and dendrite-synaptic damage. In HIV, these neurodegenerative changes have been linked to neurocognitive impairments, however it is also possible that these changes potentiate MDD.
Publication Title
Evidence for Alteration of Gene Regulatory Networks through MicroRNAs of the HIV-infected brain: novel analysis of retrospective cases.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples