Filters
Technology
Platform
GSE79194
Mus musculus
24 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Murine GVH-SSc dorsal scapular skin samples were analyzed to determine the effect of IFNAR-1 inhibition on gene expression at day 14 and day 28. Gene expression in GVH-SSc skin from mice treated with a neutralizing IFNAR-1 antibody was compared to that in GVH-SSc skin from mice treated with isotype IgG, with skin from syngeneic graft controls as reference.
Publication Title
Type I IFNs Regulate Inflammation, Vasculopathy, and Fibrosis in Chronic Cutaneous Graft-versus-Host Disease.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 116 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 105 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Production of pathogenic autoantibodies by self-reactive plasma cells (PC) is a hallmark of autoimmune diseases. Investigating the prevalence of PC in autoimmune disease and their relationship with known pathogenic pathways may increase our understanding of the role of PC in disease progression and treatment response. Methods: We developed a sensitive gene expression based method to overcome the challenges of measuring PC using flow cytometry. Whole genome microarray analysis of sorted cellular fractions identified a panel of genes, IGHA, IGJ, IGKC, IGKV, and TNFRSF17, expressed predominantly in PC. The sensitivity of the PC signature score created from the combined expression levels of these genes was assessed through ex vivo experiments with sorted cells. This PC gene expression signature was used for monitoring changes in PC levels following anti-CD19 therapy; evaluating the relationship between PC and other autoimmune disease-related genes; and estimating PC levels in affected blood and tissue from multiple autoimmune diseases. Results: The PC signature was highly sensitive and capable of detecting as few as 300 PCs. The PC signature was reduced over 90% in scleroderma patients following anti-CD19 treatment and this reduction was highly correlated (r = 0.77) with inhibition of collagen gene expression. Evaluation of multiple autoimmune diseases revealed 30-35% of lupus, rheumatoid arthritis, and scleroderma patients with increased PC levels. Conclusion: This newly developed PC signature provides a robust and accurate method to measure PC levels in the clinic. Our results highlight subsets of patients across multiple autoimmune diseases that may benefit from PC depleting therapy.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Production of pathogenic autoantibodies by self-reactive plasma cells (PC) is a hallmark of autoimmune diseases. Investigating the prevalence of PC in autoimmune disease and their relationship with known pathogenic pathways may increase our understanding of the role of PC in disease progression and treatment response. Methods: We developed a sensitive gene expression based method to overcome the challenges of measuring PC using flow cytometry. Whole genome microarray analysis of sorted cellular fractions identified a panel of genes, IGHA, IGJ, IGKC, IGKV, and TNFRSF17, expressed predominantly in PC. The sensitivity of the PC signature score created from the combined expression levels of these genes was assessed through ex vivo experiments with sorted cells. This PC gene expression signature was used for monitoring changes in PC levels following anti-CD19 therapy; evaluating the relationship between PC and other autoimmune disease-related genes; and estimating PC levels in affected blood and tissue from multiple autoimmune diseases. Results: The PC signature was highly sensitive and capable of detecting as few as 300 PCs. The PC signature was reduced over 90% in scleroderma patients following anti-CD19 treatment and this reduction was highly correlated (r = 0.77) with inhibition of collagen gene expression. Evaluation of multiple autoimmune diseases revealed 30-35% of lupus, rheumatoid arthritis, and scleroderma patients with increased PC levels. Conclusion: This newly developed PC signature provides a robust and accurate method to measure PC levels in the clinic. Our results highlight subsets of patients across multiple autoimmune diseases that may benefit from PC depleting therapy.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 30 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Autoantibodies that arise in autoimmunity can be present years to decades prior to the onset of disease manifestations. This suggests that the initial autoimmune trigger involves a peripheral lymphoid component, which then drives disease pathology in local tissues later in life. To explore the impact of early peripheral immune dysregulation on the progression of Sjgrens Syndrome, we blocked the CD40-CD40L pathway in young female NOD.H-2h4 mice at 4 weeks of age with a single injection of anti-CD40L antibody, and collected total salivary gland at the age of week 8, 16 and 24. RNA was extracted and submitted to transcriptome profiling using Affymetrix microarray.
Publication Title
Autoimmune manifestations in aged mice arise from early-life immune dysregulation.
Sample Metadata Fields
Treatment
View Samples- Homo sapiens
- 86 Downloadable Samples
IlluminaHiSeq2000
Description
Even though small cell lung cancer (SCLC) has entered the age of broad genomic analysis, platinum-based chemotherapy remains the standard care for SCLC. Topotecan is the only approved agent for recurrent or progressive SCLC (1). In the absence of well-defined genomic biomarkers, clinical efficacy signals in genomically distinct subsets of SCLC could have been missed. Serine/Arginine Splicing Factor 1 (SRSF1) is a member of SR protein family. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation (2). Whole exome and transcriptome sequencing of primary tumor SCLC from 99 Chinese patients has identified SRSF1 DNA amplification and mRNA over-expression which predicts poor survival in Chinese SCLC patients. In vitro and in vivo studies have demonstrated that SRSF1 is essential for tumorigenecity of SCLC and plays a key role in DNA repair and chemo-sensitivity. Overall design: We did RNAseq on 79 small cell lung cancer patients'' tumor sample and 7 normal lung tissue. We normalized the RNAseq data and did differential expression analysis. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation.
Publication Title
Genomic Landscape Survey Identifies SRSF1 as a Key Oncodriver in Small Cell Lung Cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).
Publication Title
Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 83 Downloadable Samples
- Illumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx
Description
Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.
Publication Title
Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 116 Downloadable Samples
Description
Skeletal muscle is one of the primary tissues involved in the development of type 2 diabetes (T2D). Obesity is tightly associated with T2D, making it challenging to isolate specific effects attributed to the disease alone. By using an in vitro myocyte model system we were able to isolate the inherent properties retained in myocytes originating from donor muscle precursor cells, without being confounded by varying extracellular factors present in the in vivo environment of the donor. We generated and characterized transcriptional profiles of myocytes from 24 human subjects, using a factorial design with two levels each of the factors T2D (healthy or diseased) and obesity (non-obese or obese), and determined the influence of each specific factor on genome-wide transcription. We identified a striking similarity of the transcriptional profiles associated independently with T2D or obesity. Obesity thus presents an inherent phenotype in skeletal myocytes, similar to that induced by T2D. Through bioinformatics analysis we found a candidate epigenetic mechanism, H3K27me3 histone methylation, mediating the observed transcriptional signatures. Functional characterization of the expression profiles revealed dysregulated myogenesis and down-regulated muscle function in connection with T2D and obesity, as well as up-regulation of genes involved in inflammation and the extracellular matrix. Further on, we identified a metabolite subnetwork involved in sphingolipid metabolism and affected by transcriptional up-regulation in T2D. Collectively, these findings pinpoint transcriptional changes that are hard-wired in skeletal myocytes in connection with both obesity and T2D. Overall design: Isolated skeletal muscle precursor cells from 24 males and females (6 normal glucose tolerant, 6 obese, 6 type 2 diabetic, and 6 obese and type 2 diabetic) were differentiated in vitro and stimulated with insulin. RNA from fully differentiated myotubes sampled at 0, 0.5, 1, and 2 hours after insulin stimulation was quantified using RNA-seq (96 samples in total). The 6 base-line (0h) samples from normal glucose tolerant individuals are available under the submission GSE63887, the remaining 90 samples are contained in this submission.
Publication Title
Type 2 diabetes and obesity induce similar transcriptional reprogramming in human myocytes.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Few studies have investigated heterogeneity of selection response in replicate lines subjected to equivalent selection. We developed 4 replicate lines of mice based on high levels of voluntary wheel running (high runner or HR lines) while also maintaining 4 non-selected control lines. This led to the unexpected discovery of the HR mini-muscle (HRmini) phenotype, recognized by a 50% reduction in hindlimb muscle mass, which became fixed in 1 of the 4 HR selected lines.
Publication Title
Gene expression profiling of gastrocnemius of "minimuscle" mice.
Sample Metadata Fields
Sex, Specimen part
View Samples