This SuperSeries is composed of the SubSeries listed below.
Positional identification of variants of Adamts16 linked to inherited hypertension.
No sample metadata fields
View SamplesWe used Affymetrix GeneChips to expression profile rat kidney NRK-52E cells treated with control scrambled siRNA or siRNA specifically targeting Adamts16. The goal of this project was to identify the downstream genes regulated by Adamts16 (the function of Adamts16 has yet to be fully delineated). Gene expression differences resulting from these siRNA-mediated gene knockdown experiments will be compared to the gene expression profiling experiments comparing kidneys from Dahl salt-senstive hypertensive inbred strain versus less hypertensive S.LEW(D1MCO4x1x3Bx1) congenic strain. The S.LEW(D1MCO4x1x3Bx1) congenic animal is an S rat containing the LEWIS allele for Adamts16 instead of the S allele. Gene expression differences in the kidneys of S.LEW(D1MCO4x1x3Bx1) versus S are hypothesized to result from sequence differences between the S and LEWIS alleles for Adamts16. It is further hypothesized that allelic differences in Adamts16 in inbred rats is responsible for blood pressure variance. The downstream genes regulated by Adamts16 may provide insight pertaining to the mechanism of blood pressure differences.
Positional identification of variants of Adamts16 linked to inherited hypertension.
No sample metadata fields
View SamplesWe used Affymetrix GeneChips to expression profile kidneys from Dahl salt-senstive hypertensive inbred strain and less hypertensive S.LEW(D1MCO4x1x3Bx1) congenic strain to identify genes downstream of Adamts16 (the function of Adamts16 has yet to be fully delineated). The S.LEW(D1MCO4x1x3Bx1) congenic animal is an S rat containing the LEWIS allele for Adamts16 instead of the S allele. It is hypothesized that allelic differences in Adamts16 in inbred rats is responsible for blood pressure variance. We further hypothesize that gene expression differences in the kidneys of S.LEW(D1MCO4x1x3Bx1) versus S result from sequence differences between the S and LEWIS alleles of Adamts16. Lastly, the downstream genes differentially regulated by the Adamts16 alleles may provide insight pertaining to the mechanism of blood pressure differences. Gene expression differences resulting from these kidney comparisons will be compared to the gene expression profiling experiments comparing siRNA-mediated knockdown of Adamts16 in NRK-52E kidney cells versus scrambled siRNA control.
Positional identification of variants of Adamts16 linked to inherited hypertension.
No sample metadata fields
View SamplesA 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).
Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations.
No sample metadata fields
View SamplesOptic 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
The role of B cells in the early onset of the first demyelinating event of acute optic neuritis.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesSpontaneous 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.
Prickle1 as positive regulator of oligodendrocyte differentiation.
Sex, Age, Specimen part, Time
View SamplesBackground: 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
Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesMolecular 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.
Microarray analysis identifies altered regulation of nuclear receptor family members in the pre-disease state of multiple sclerosis.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThis 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.
Identification of Arabidopsis thaliana phloem RNAs provides a search criterion for phloem-based transcripts hidden in complex datasets of microarray experiments.
No sample metadata fields
View SamplesInterferon (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.
Transcriptional response to interferon beta-1a treatment in patients with secondary progressive multiple sclerosis.
Sex, Age, Treatment
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