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accession-icon GSE22047
Modulation of Cystatin A Expression in Human Airway Epithelium Related to Genotype, Smoking COPD and Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 220 Downloadable Samples
  • Technology Badge Icon 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.

Alternate Accession IDs

E-GEOD-22047

Sample Metadata Fields

Race

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accession-icon GSE40364
eQTL analysis of many thousands of expressed genes while simultaneously controlling for hidden factors
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge Icon 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.

Alternate Accession IDs

E-GEOD-40364

Sample Metadata Fields

Disease, Race

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accession-icon GSE17905
Smoking-mediated Up-regulation of GAD67 Expression in the Human Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Full Length HuGeneFL Array (hu6800)

Description

Gamma-aminobutyric acid (GABA) is a multifunctional mediator that functions as a neurotransmitter in the central nervous system and a trophic factor during nervous system development, affecting proliferation, differentiation and cell death [1-3].GABA is synthesized from glutamate, catalyzed by GAD65 and GAD67, glutamic acid decarboxylase {Tillakaratne, Medina-Kauwe, et al. 1995 21 /id}{Owens & Kriegstein 2002 3 /id}{Watanabe, Maemura, et al. 2002 73 /id}. In the CNS transporters and catabolic enzymes work in a coordinated fashion to control the availability of GABA {Tillakaratne, Medina-Kauwe, et al. 1995 21 /id}{Owens & Kriegstein 2002 3 /id}{Watanabe, Maemura, et al. 2002 73 /id} It is now recognized that GABA also functions in a variety of organs outside of the CNS [1,3,4]. In the lung, a series of recent studies suggest that the GABAergic signaling system plays a role in the control of asthma related-airway constriction and mucin secretion [5-9]. In the context that goblet cell hyperplasia and mucin overproduction is associated with cigarette smoking [10-12], we hypothesized that components of the GABAergic system may also be altered in the airway epithelium of cigarette smokers. To assess this hypothesis, we evaluated the expression of the entire GABAergic system in the large and small airway epithelium of healthy nonsmokers and healthy smokers. The data demonstrates there is expression of genes for a complete GABAergic system in the airway epithelium. Interestingly, the expression of GAD67 was markedly modified by smoking, with increased expression in healthy smokers compared to healthy nonsmokers at the mRNA and protein levels. In the context that mucus overproduction is commonly associated with cigarette smoking, GAD67 may be a pharmacologic target for treatment of smoking-related disorders.

Publication Title

Smoking-mediated up-regulation of GAD67 expression in the human airway epithelium.

Alternate Accession IDs

E-GEOD-17905

Sample Metadata Fields

Sex, Age

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accession-icon GSE22180
In vitro carcinogenicity testing with Balb/c 3T3 Cells treated with various chemical carcinogens
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background: Information on the carcinogenic potential of chemicals is only availably for High Production Volume products. There is however, a pressing need for alternative methods allowing for the chronic toxicity of substances, including carcinogenicity, to be detected earlier and more reliably. Here we applied advanced genomics to a cellular transformation assay to identify gene signatures useful for the prediction of risk for carcinogenicity. Methods: Genome wide gene expression analysis and qRT-PCR were applied to untransformed and transformed Balb/c 3T3 cells that exposed to 2, 4-diaminotoluene (DAT), benzo(a)pyrene (BaP), 2-Acetylaminoflourene (AAF) and 3-methycholanthrene (MCA) for 24h and 120h, at different concentrations, respectively. Furthermore, various bioinformatics tools were used to identify gene signatures predicting for the carcinogenic risk. Results: Bioinformatics analysis revealed distinct datasets for the individual chemicals tested while the number of significantly regulated genes increased with ascending treatment concentration of the cell cultures. Filtering of the data revealed a common gene signature that comprised of 13 genes whose regulation in cancer tissue has already been established. Strikingly, this gene signature was already identified prior to cell transformation therefore confirming the predictive power of this gene signature in identifying carcinogenic risks of chemicals. Comparison of fold changes determined by microarray analysis and qRT-PCR were in good agreement. Conclusion: Our data describes selective and commonly regulated carcinogenic pathways observed in an easy to use in vitro carcinogenicity assay. Here we defined a set of genes which can serve as a simply assay to predict the risk for carcinogenicity by use of an alternative in vitro testing strategy.

Publication Title

Toxicogenomics applied to in vitro carcinogenicity testing with Balb/c 3T3 cells revealed a gene signature predictive of chemical carcinogens.

Alternate Accession IDs

E-GEOD-22180

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE13896
Smoking-dependent Reprogramming of Alveolar Macrophage Polarization: Implication for Pathogenesis of COPD
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: When exposed to specific stimuli, macrophages exhibit distinct activation programs, M1 and M2 polarization, that define macrophage function as inflammatory/immune effectors or anti-inflammatory/tissue remodeling cells, respectively. Due to their position on the lung epithelial surface, alveolar macrophages (AM) directly interact with environmental stimuli such as cigarette smoke, the major risk factor for the development of chronic obstructive pulmonary disease (COPD). Based on the current paradigm that, in response to smoking, AM contribute to both inflammatory and tissue remodeling processes in the lung relevant to the pathogenesis of COPD, we hypothesized that chronic exposure to cigarette smoking activates both the M1 and M2 polarization programs in AM. Methods and Findings: To assess this hypothesis, global transcriptional profiling with TaqMan confirmation and flow cytometry analysis was carried out on AM obtained by bronchoalveolar lavage of 24 healthy nonsmokers, 34 healthy smokers and 12 smokers with COPD to assess the expression of 41 M1 genes and 32 M2 genes in each group. Contrary to our expectations, while there was up-regulation of some genes typical for M2-related phenotypes, AM of healthy smokers exhibited substantial suppression of M1-related inflammatory/immune genes. These M1- and M2-related changes progressed with the development of smoking-induced lung disease, with AM of smokers with COPD exhibiting further down-regulation of M1-related genes accompanied with further up-regulation of some M2-related genes. Conclusion: The data demonstrates that the modifications of the AM transcriptome associated with smoking result in a unique phenotype characterized by reprogramming of AM towards M1-deactivated partially M2-polarized macrophages and suggests that, while AM likely contribute to smoking-induced tissue remodeling, the role of AM in the early pathogenesis of smoking-induced COPD in humans is not inflammatory. This concept is a departure from the conventional concept that AM-mediated inflammation participates in the early derangements of the lung induced by smoking, and suggests a novel paradigm for conceptualizing COPD and developing new approaches to prevent the development of smoking-induced lung disease.

Publication Title

Smoking-dependent reprogramming of alveolar macrophage polarization: implication for pathogenesis of chronic obstructive pulmonary disease.

Alternate Accession IDs

E-GEOD-13896

Sample Metadata Fields

Sex, Age

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accession-icon SRP081445
HIV Reprograms Human Airway Basal Stem/Progenitor Cells to Acquire a Tissue Destructive Phenotype
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

While the survival rate of HIV-infected individuals has dramatically improved with the development of highly active anti-retroviral therapy, HIV-infected individuals have an increased risk for chronic disorders, including the development of COPD, manifesting as emphysema. The mechanisms of HIV-associated emphysema are not understood. Based on the knowledge that human airway basal cells (BC) function as stem/progenitor cells capable of differentiation into specialized ciliated and secretory cells during natural turnover and repair in response to injury, we hypothesized that HIV interacts with, and consequently induces pathologic programming of the BC that contributes to the development of emphysema. Overall design: Studies were designed to assess: (1) if HIV binds to, infects and/or replicates in BC; (2) identify which BC receptor(s) are responsible for HIV capture; and (3) the reprogramming of BC biology upon HIV exposure. Infectious HIVNL4-3 was used for all studies. Soluble heparan sulfate and heparinase III were used to prevent HIV/BC interactions. BC phenotypes after HIV exposure were assessed by TaqMan quantitative PCR, ELISA, phospho-MAPK array, protease array, cell invasion assay, and zymography.

Publication Title

HIV Reprograms Human Airway Basal Stem/Progenitor Cells to Acquire a Tissue-Destructive Phenotype.

Alternate Accession IDs

GSE85538

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon SRP068163
Expression profiling of MCF-7 cells with 10nM treatment of TCDD
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

The aryl hydrocarbon receptor (AHR) is a ligand-activated transcription factor that is regulated by environmental toxicants that function as AHR agonists such as 2,3,7,8 tetrachlorodibenzo-p-dioxin (TCDD). L-Type Amino Acid Transporter 1 (LAT1) is a leucine uptake transporter that is overexpressed in cancer. The regulation of LAT1 by AHR in MCF-7 and MDA-MB-231 breast cancer cells (BCCs) was investigated in this report. Ingenuity pathway analysis (IPA) revealed a significant association between TCDD-regulated genes (TRGs) and molecular transport. Overlapping the TCDD-RNA-Seq dataset in this report with a published TCDD-ChIP-seq dataset identified that LAT1 was a direct TCDD/AHR gene target. Short interfering RNA (siRNA)-directed knockdown of AHR confirmed that TCDD-stimulated increases in LAT1 mRNA and protein required AHR. TCDD-stimulated increases in LAT1 mRNA was also inhibited by the AHR antagonist CH-223191. Upregulation of LAT1 by TCDD coincided with increases in leucine uptake by MCF-7 cells in response to TCDD. Chromatin immunoprecipitation-quantitative PCR (ChIP-qPCR) assays revealed increases in AHR, AHR nuclear translocator (ARNT) and p300 binding and histone H3 acetylation at an AHR binding site in the LAT1 gene in response to TCDD. In MDA-MB-231 cells, which exhibit high levels of endogenous AHR activity, the levels of endogenous LAT1 mRNA and protein were reduced in response to knockdown of AHR with AHR-siRNA. The regulation of LAT1 by AHR stimulated MDA-MB-231 proliferation. Collectively, these findings have provided a deeper mechanistic understanding of extrinsic and intrinsic regulation of LAT1 by AHR. Overall design: Expression profiling of four replicates of MCF-7 cells treated with 10nM TCDD were compared to expression profiles of four control replicates of MCF-7 cells treated with DMSO by RNA-Seq

Publication Title

Aryl hydrocarbon receptor (AHR) regulation of L-Type Amino Acid Transporter 1 (LAT-1) expression in MCF-7 and MDA-MB-231 breast cancer cells.

Alternate Accession IDs

GSE76608

Sample Metadata Fields

Treatment, Subject

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accession-icon SRP002255
RNA-Seq on libraries made from serial dilutions of Drosophila melanogaster S2 cell mRNA and ERCC external RNA controls
  • organism-icon Drosophila melanogaster
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

RNA-Seq on libraries made from serial dilutions of mRNA from Drosophila melanogaster S2 cell and the External RNA Controls Consortium (ERCC) external RNA controls. We evaluated performance of RNA-Seq by serially diluting a complex pool of known synthetic PolyA+ mRNAs from the External RNA Controls Consortium (ERCC) and PolyA+ mRNA from Drosophila S2 cells. ERCC mRNAs were obtained under Phase V testing from the National Institutes of Standards and Technology (NIST). The ERCC pool contained 96 species of mRNA of various lengths and GC content covering a 2^20 concentration range. Libraries were constructed with 100ng to 10pg of input mRNA. Our data shows an outstanding linear fit between RNA-Seq read density and known input amounts. Overall design: We performed RNA-Seq from libraries made with 0.01ng to 100ng mRNA (mixture of mRNA from Drosophila melanogaster S2 cells and ERCC RNA controls). One RNA-Seq library was prepared with 100ng mRNA and six libraries were made with serial dilutions of mRNA using a modified protocol (see Sample ''extraction protocol''). One lane was sequenced for each library and all seven libraries were run on the same flow cell.

Publication Title

Synthetic spike-in standards for RNA-seq experiments.

Alternate Accession IDs

GSE20555

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE30063
Epithelial Expression of Toll-like Receptor 5 is Modulated in Healthy Smokers and Smokers with Chronic Obstructive Lung Disease
  • organism-icon Homo sapiens
  • sample-icon 145 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The toll-like receptors (TLRs) are important components of the respiratory epithelium host innate defense, enabling the airway surface to recognize and respond to a variety of insults in inhaled air. Based on the knowledge that smokers are more susceptible to pulmonary infection and the airway epithelium of smokers with chronic obstructive pulmonary disease (COPD) is characterized by bacterial colonization and acute exacerbation of airway infections, we assessed whether smoking alters the expression of TLRs in human small airway epithelium, the primary site of smoking-induced disease. Microarrays were used to survey the TLR family gene expression in small airway (10th-12th order) epithelium from healthy nonsmokers (n=60), healthy smokers (n=73) and smokers with COPD (n=36). Using the criteria of detection call of present in 50%, 6 of 10 TLRs (1, 2, 3, 4, 5 and 8) were expressed. Compared to nonsmokers, the most strikingly changed gene is TLR5, which down-regulated in healthy smokers (1.4-fold decrease, p<10-13) and in smokers with COPD (1.6-fold, p<10-14). TaqMan RT-PCR confirmed these observations. Bronchial biopsies immunofluorescence showed that TLR5 protein was expressed mainly on the apical side of the human airway epithelium and decreased in healthy smokers and smokers with COPD. In vitro studies showed that the level of TLR5 downstream genes, IL-6 and IL-8 were highly induced in TLR5 high-expressing cells compared to TLR5 low-expressing cells after flagellin exposure. In the context that TLR5 functions to recognize pathogens and activate innate immune responses, the smoking-induced down-regulation of TLR5 likely contributes to smoking-related susceptibility to airway infection.

Publication Title

Airway epithelial expression of TLR5 is downregulated in healthy smokers and smokers with chronic obstructive pulmonary disease.

Alternate Accession IDs

E-GEOD-30063

Sample Metadata Fields

Race

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accession-icon GSE34450
Genes Associated with MUC5AC Expression in the Human Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 121 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To help define the genes associated with mucus synthesis and secretion in the human small airway epithelium, we hypothesized that comparison of the transcriptomes of the small airway epithelium of individuals that express high vs low levels of MUC5AC, a major secretory mucin and the major component of airway mucus, could be used as a probe to identify the genes related to human small airway mucus production / secretion. Genome-wide comparison between healthy nonsmokers grouped as high MUC5AC expressors vs low MUC5AC expressors identified significantly up-regulated and down-regulated genes in the high vs low expressors. Based on the literature, genes in the up-regulated list were used to identify a 73 MUC5AC-associated core gene list with 9 categories: mucus components; mucus-producing cell differentiation-related transcription factor; mucus-producing cell differentiation-related pathway or mediator; post-translational modification of mucin; vesicle transport; endoplasmic reticulum stress-related; secretory granule-associated; mucus secretion-related regulator and mucus hypersecretory-related ion channel. The identification of the genes associated with increased small airway mucin production in humans should be useful in identifying therapeutic targets to treat small airway mucus hypersecretion.

Publication Title

Genes associated with MUC5AC expression in small airway epithelium of human smokers and non-smokers.

Alternate Accession IDs

E-GEOD-34450

Sample Metadata Fields

Specimen part, Race, Time

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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