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GSE60690
Homo sapiens
754 Downloadable Samples
Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Heritable genetic variants modify cystic fibrosis (CF) clinical phenotypes, e.g., lung disease, age-of-onset of persistent Pseudomonas aeruginosa (P. aeruginosa), and meconium ileus (MI). Previous genome wide association studies (GWAS) have begun to inform the genetic architecture of CF phenotypes. Analyses of gene expression will complement GWAS, as demonstrated by analyses of gene expression in lymphoblastoid cell lines (LCLs) to identify disease-related pathophysiological processes for non-CF complex traits. In this study, global gene expression was measured in RNA from LCLs from 754 CF patients and analyzed for association with lung disease severity, age-of-onset of persistent P. aeruginosa pulmonary infection, and MI at birth. Each phenotype displayed distinct expression associations. Most pathways significantly associated with lung disease were related to membranes, vesicle traffic, and Golgi/endoplasmic reticulum (ER). Pathways containing HLA genes (Class I and II) were significantly associated with both lung and P. aeruginosa phenotypes, but they displayed qualitative differences between phenotypes. MI associated with pathways involving oxidative phosphorylation. The results support the concept that gene expression associated with heritable variation acts to modify phenotypes in CF.
Publication Title
Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 131 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background
Publication Title
Decision tree-based method for integrating gene expression, demographic, and clinical data to determine disease endotypes.
Sample Metadata Fields
Sex, Disease
View Samples- Homo sapiens
- 98 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We have investigated whether gene expression signatures can be used to predict inter-individual responses to DNA damaging agents
Publication Title
Genomic predictors of interindividual differences in response to DNA damaging agents.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 83 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background. Chronic fatiguing illness remains a poorly understood syndrome of unknown pathogenesis. We attempted to identify biomarkers for chronic fatiguing illness using microarrays to query the transcriptome in peripheral blood leukocytes. Methods. Cases were 44 individuals who were clinically evaluated and found to meet standard international criteria for chronic fatigue syndrome or idiopathic chronic fatigue, and controls were their monozygotic co-twins who were clinically evaluated and never had even one month of impairing fatigue. Biological sampling conditions were standardized and RNA stabilizing media were used. These methodological features provide rigorous control for bias resulting from case-control mismatched ancestry and experimental error. Individual gene expression profiles were assessed using Affymetrix Human Genome U133 Plus 2.0 arrays. Findings. There were no significant differences in gene expression for any transcript. Conclusions. Contrary to our expectations, we were unable to identify a biomarker for chronic fatiguing illness in the transcriptome of peripheral blood leukocytes suggesting that positive findings in prior studies may have resulted from experimental bias.
Publication Title
Gene expression in peripheral blood leukocytes in monozygotic twins discordant for chronic fatigue: no evidence of a biomarker.
Sample Metadata Fields
Sex
View Samples- Mus musculus
- 83 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Gene expression in whole lung and pulmonary macrophages reflects the dynamic pathology associated with airway surface dehydration.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 12 Downloadable Samples
Agilent-031181 Unrestricted_Human_miRNA_V16.0_Microarray 030840 (Feature Number version), Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF-β Pathway.
Sample Metadata Fields
Specimen part, Disease, Race
View Samples- Homo sapiens
- 63 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We are investigating the transcriptional response of newborns in response to prenatal arsenic exposure
Publication Title
Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 55 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Catechol-O-methyltransferase (COMT) is an ubiquitously expressed enzyme that maintains basic biologic functions by inactivating catechol substrates. In humans, polymorphic variance at the COMT locus has been associated with modulation of pain sensitivity (Andersen & Skorpen, 2009) and risk for developing psychiatric disorders (Harrison & Tunbridge, 2008). A functional haplotype associated with increased pain sensitivity was shown to result in decreased COMT activity by altering mRNA secondary structure-dependent protein translation (Nackley et al., 2006). However, the exact mechanisms whereby COMT modulates pain sensitivity and behavior remain unclear and can be further studied in animal models. We have pursued a genome-wide approach to examining gene expression in multiple brain regions in inbred strains of mice and have discovered that Comt1 is differentially expressed. This expression difference was validated with qPCR. A B2-B4 Short Interspersed Element (SINE) was inserted in the 3'UTR of Comt1 in 14 strains that also shared a common haplotype. Experiments using mammalian expression vectors of full-length cDNA clones with and without the SINE element demonstrate that strains with the SINE haplotype (+SINE) have greater Comt1 enzymatic activity. +SINE mice also exhibit behavioral differences in anxiety assays and decreased pain sensitivity. These results suggest that a haplotype, defined by a 3'UTR B2-B4 SINE element, regulates Comt1 expression and mouse behavior.
Publication Title
Comt1 genotype and expression predicts anxiety and nociceptive sensitivity in inbred strains of mice.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 12 Downloadable Samples
- Agilent-031181 Unrestricted_Human_miRNA_V16.0_Microarray 030840 (Feature Number version), Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
The Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort in Gmez Palacio, Mexico was recently established to better understand the impacts of prenatal exposure to inorganic arsenic (iAs). In this study, we examined a subset (n=40) of newborn cord blood samples for microRNA (miRNA) expression changes associated with in utero arsenic exposure. Levels of iAs in maternal drinking water (DW-iAs) and maternal urine were assessed. Levels of DW-iAs ranged from below detectable values to 236 g/L (mean=51.7 g/L). Total arsenic in maternal urine (U-tAs) was defined as the sum of iAs and its monomethylated and dimethylated metabolites (MMAs and DMAs, respectively) and ranged from 6.2 to 319.7 g/L (mean=64.5 g/L). Genome-wide miRNA expression analysis of cord blood revealed 12 miRNAs with increasing expression associated with U-tAs. Transcriptional targets of the miRNAs were computationally predicted and subsequently assessed using transcriptional profiling. Pathway analysis demonstrated that the U-tAs-associated miRNAs are involved in signaling pathways related to known health outcomes of iAs exposure including cancer and diabetes mellitus. Immune response-related mRNAs were also identified with decreased expression levels associated with U-tAs, and predicted to be mediated in part by the arsenic-responsive miRNAs. Results of this study highlight miRNAs as novel responders to prenatal arsenic exposure that may contribute to associated immune response perturbations.
Publication Title
Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.
Sample Metadata Fields
Specimen part
View Samples