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GSE97010
Homo sapiens
126 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
BACKGROUND: We have previously reported gene expression changes in the bronchial airway epithelium of active chronic smokers. In this study, we investigate the effects of Acute Smoke Exposure (ASE) from cigarettes on airway epithelial gene expression. METHODS: Bronchial airway epithelial cell brushings were collected via fiberoptic bronchoscopy from 63 individuals without recent exposure to cigarette smoke (> 2 days), at baseline and at 24 hours after smoking three cigarettes. RNA from these samples was profiled on Affymetrix Human Gene 1.0 ST microarrays. Differential gene expression was assessed using linear modeling and compared to previous smoking-related gene-expression signatures using Gene Set Enrichment Analysis (GSEA). RESULTS: We identified 91 genes differentially expressed 24-hours after exposure to three cigarettes (FDR < 0.25). ASE induces genes involved in xenobiotic metabolism, oxidative stress, and inflammation; and represses genes involved in cilium morphogenesis, and cell cycle. Genes induced by in vivo ASE are concordantly altered by ASE in vitro. While many genes altered by ASE are altered similarly in the airway of chronic smokers, metallothionein genes were induced by ASE and suppressed among chronic smokers. Metallothioneins were also suppressed in the bronchial airway of current and former chronic smokers with lung cancer relative to those with benign disease. CONCLUSIONS: Acute exposure to as little as three cigarettes alters gene-expression in bronchial airway epithelium in a manner that largely resembles the changes seen in chronic active smokers. The difference in the short-term and long-term effects of smoking on metallothionein expression and its relationship to lung cancer requires further study given these enzymes role in responding to oxidative stress.
Publication Title
Impact of acute exposure to cigarette smoke on airway gene expression.
Sample Metadata Fields
Sex
View Samples- Mus musculus, Homo sapiens
- 42 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genetic programs expressed in resting and IL-4 alternatively activated mouse and human macrophages: similarities and differences.
Sample Metadata Fields
Specimen part, Disease, Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Analysis of alternative activation of macrophages at gene expression level. The study forms part of a wider study where we compare the effects of IL-4 in different human and mouse macrophages. Our results support the notion that in vitro culture conditions greatly affect the macrophage response to IL-4.
Publication Title
Genetic programs expressed in resting and IL-4 alternatively activated mouse and human macrophages: similarities and differences.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133A Array (hgu133a)
Description
Analysis of alternative activation of macrophages at gene expression level. The study forms part of a wider study where we compare the effects of IL-4 in different human and mouse macrophages. Our results support the notion that in vitro culture conditions greatly affect the macrophage response to IL-4.
Publication Title
Genetic programs expressed in resting and IL-4 alternatively activated mouse and human macrophages: similarities and differences.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 2 Downloadable Samples
- Illumina HumanWG-6 v3.0 expression beadchip
Description
This experiment was carried out in the context of a study aimed to identify the function of the transcription facotrs HIF-1a in the pathogenesis of chronic lymphocytic leukemia (CLL).
Publication Title
HIF-1α regulates the interaction of chronic lymphocytic leukemia cells with the tumor microenvironment.
Sample Metadata Fields
Sex, Cell line
View Samples- Mus musculus
- 17 Downloadable Samples
Illumina Genome Analyzer
Description
The RNA splicing factor SF3B1 is recurrently mutated in chronic lymphocytic leukemia (CLL), but its functional role in the pathogenesis of this disease has not been firmly established. Here, we show that conditional expression of heterozygous Sf3b1-K700E mutation in mouse B lineage cells disrupts pre-mRNA splicing, alters B-cell development and function, and induces a state of cellular senescence. B-cell restricted expression of this mutation combined with Atm deletion led to the overcoming of cellular senescence, together with enhanced genome instability and the development of clonal B220+CD5+ CLL cells in elderly mice at low penetrance. Mice with CLL-like disease were found to have amplifications of chromosomes 15 and 17. Integrated transcriptome and proteome analysis of the CLL-like cells revealed coordinated dysregulation of multiple CLL-associated cellular processes. This included an unexpected signature of deregulated B-cell receptor (BCR) signaling, which we could also identify in SF3B1-mutated CLL samples from two independent patient cohorts. Notably, human CLLs harboring SF3B1 mutations exhibited greater sensitivity and altered response kinetics to BTK kinase ibrutinib. Our genetically faithful murine model of CLL thus reveals fresh insights regarding the impact of SF3B1 mutation on CLL pathogenesis and suggests a system for identifying vulnerabilities related to this mutation that can be further exploited for the treatment of CLLs with this common mutation. Overall design: RNA-seq of B cells from WT, Sf3b1 MT, Atm MT, DM and DM-CLL mice
Publication Title
A Murine Model of Chronic Lymphocytic Leukemia Based on B Cell-Restricted Expression of Sf3b1 Mutation and Atm Deletion.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Research in human immunobiology is mainly based on working with peripheral blood mononuclear cells (PBMC). However, recent investigations have shown that circulating CD4+ T cells are less sensitive to several T-cell activating monoclonal antibodies (mAb) and to recall antigens as compared to tissue-resident cells or cells that were in-vitro cultured at a high cell density of 10^7 cells/mL for 2 days at 37C and 5% CO2 (RESTORE protocol, Rmer et al., Blood 2011, PMID: 21931118). To explain the increase in sensitivity of CD4+ T-cells to mAbs and recall antigens on a molecular level, we performed microarray hybridizations of total RNA from T-cells isolated from PBMC that were cultured at a low or high cell density. To avoid the detection of genes that are up- or down-regulated by the culture process itself, we used low cell density cultured PBMC, instead of freshly prepared PBMC.
Publication Title
High-density preculture of PBMCs restores defective sensitivity of circulating CD8 T cells to virus- and tumor-derived antigens.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 86 Downloadable Samples
- Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Disparate Oxidant-related Gene Expression of Human Small Airway Epithelium Compared to Autologous Alveolar Macrophages in Response to the In Vivo Oxidant Stress of Cigarette Smoking
Publication Title
Disparate oxidant gene expression of airway epithelium compared to alveolar macrophages in smokers.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 220 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Cystatin A (gene: CSTA), is up-regulated in non-small-cell lung cancer (NSCLC) and dysplastic vs normal human bronchial epithelium. In the context that chronic obstructive pulmonary disease (COPD), a small airway epithelium (SAE) disorder, is independently associated with NSCLC (especially squamous cell carcinoma, SCC), but only occurs in a subset of smokers, we hypothesized that genetic variation, smoking and COPD modulate CSTA gene expression levels in SAE, with further up-regulation in SCC. Gene expression was assessed by microarray in SAE of 178 individuals [healthy nonsmokers (n=60), healthy smokers (n=82), and COPD smokers (n=36)], with corresponding large airway epithelium (LAE) data in a subset (n=52). Blood DNA was genotyped by SNP microarray. Twelve SNPs upstream of the CSTA gene were all significantly associated with CSTA SAE gene expression (p<0.04 to 5 x 10-4). CSTA gene expression levels in SAE were higher in COPD smokers (28.4 2.0) than healthy smokers (19.9 1.4, p<10-3), who in turn had higher levels than nonsmokers (16.1 1.1, p<0.04). CSTA LAE gene expression was also smoking-responsive (p<10-3). Using comparable publicly available NSCLC expression data, CSTA was up-regulated in SCC vs LAE (p<10-2) and down-regulated in adenocarcinoma vs SAE (p<10-7). All phenotypes were associated with significantly different proportional gene expression of CSTA to cathepsins. The data demonstrate that regulation of CSTA expression in human airway epithelium is influenced by genetic variability, smoking, and COPD, and is further up-regulated in SCC, all of which should be taken into account when considering the role of CSTA in NSCLC pathogenesis.
Publication Title
Modulation of cystatin A expression in human airway epithelium related to genotype, smoking, COPD, and lung cancer.
Sample Metadata Fields
Race
View Samples- Homo sapiens
- 120 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Motivation: Identification of eQTL, the genetic loci that contribute to heritable variation in gene expression, can be obstructed by factors that produce variation in expression profiles if these factors are unmeasured or hidden from direct analysis.
Publication Title
HEFT: eQTL analysis of many thousands of expressed genes while simultaneously controlling for hidden factors.
Sample Metadata Fields
Disease, Race
View Samples