Gene expression in male and female smokers
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE47415 | GEO | 2015/05/01
SECONDARY ACCESSION(S): PRJNA205526
REPOSITORIES: GEO
Similar Datasets
Project description:Smoking is the second leading cause of preventable death in the United States. Cohort epidemiological studies have demonstrated that women are more vulnerable to cigarette-smoking induced diseases than their male counterparts, however, the molecular basis of these differences has been remained unknown to date. In this study, we explored if there were differences in the gene expression patterns between male and female smokers, and how these patterns might reflect different gender-specific responses to the stress of smoking. Global gene expression was measured in the peripheral blood cells of 12 each male and female smokers and non-smokers using the Agilent one-color workflow and human whole genome microarrays.
2015-05-01 | E-GEOD-47415 | biostudies-arrayexpress
Project description:Cigarette smoking remains the leading cause of preventable death worldwide. Cigarette smoking behaviors (e.g., initiation, nicotine dependence, cessation) are heritable, and many genetic risk loci have been identified. However, the neurobiological mechanisms underlying the genetic risk loci along the trajectory of smoking are largely unknown. RNA-sequencing (RNA-seq) differences between smokers and nonsmokers can provide insight into mechanisms that predispose to smoking behaviors and consequences of the smoking exposure itself. Here, we provide RNA-seq data generated in nucleus accumbens, an addiction-relevant brain tissue, from 223 deceased individuals: 50 current cigarette smokers, 171 nonsmokers, and 2 individuals with undetermined smoking status. DNA methylation data on the Illumina HumanMethylationEPIC array are also available on most of these individuals and made available (GEO accession number GSE147040).
2021-04-14 | GSE171936 | GEO
Project description:Cigarette smoking remains the leading cause of preventable death worldwide. Cigarette smoking behaviors (e.g., initiation, nicotine dependence, cessation) are heritable, and many genetic risk loci have been identified. However, the neurobiological mechanisms underlying the genetic risk loci along the trajectory of smoking are largely unknown. DNA methylation (DNAm) differences between smokers and nonsmokers can provide insight into mechanisms that predispose to smoking behaviors and consequences of the smoking exposure itself. Differential DNAm by smoking has been found at many CpG sites in blood, but because of the tissue specificity of gene regulation, differential DNAm that can only be detected in brain may have been missed. Here, we provide Illumina HumanMethylationEPIC array data generated in nucleus accumbens, an addiction-relevant brain tissue, from 221 deceased individuals: 53 current cigarette smokers, 168 nonsmokers. From these data, we have conducted an epigenome-wide association study (EWAS) and identified several CpG associations with smoking. A subset of the identified CpGs map to genes that were previously indicated as blood-based smoking DNAm biomarkers, but the other CpGs map to genes that were previously undetected in blood and may reflect brain-specific processes related to smoking.
2020-05-01 | GSE147040 | GEO
Project description:Despite overwhelming data that cigarette smoking causes chronic obstructive pulmonary disease (COPD), only a minority of chronic smokers are affected, strongly suggesting that genetic factors modify susceptibility to this disease. We hypothesized that there are individual variations in the response to cigarette smoking, with variability among smokers in expression levels of protective / susceptibility genes. Affymetrix arrays and TaqMan PCR were used to assess the variability of gene expression in the small airway epithelium obtained by fiberoptic bronchoscopy of 18 normal non-smokers, 18 normal smokers and 18 smokers with COPD. We identified 201 probesets representing 150 smoking-responsive genes that were significantly up- or down-regulated, and assessed the coefficient of variation in expression levels among the study population. Variation was a reproducible property of each gene as assessed by different microarray probesets and realtime PCR and was observed in both normal smokers and smokers with COPD. There was greater individual variability in smokers with COPD than in normal smokers. The majority of these highly variable smoking responsive genes were in the functional categories of signal transduction, xenobiotic degradation, metabolism, transport, oxidant-related and transcription. A similar pattern of the same highly variable genes was observed in an independent data set.We propose that there is likely genetic diversity within this subset of genes with highly variable individual to individual responses of the small airway epithelium to smoking, and this subset of genes represent putative candidates for assessment of susceptibility/protection from disease for future gene-based epidemiological studies for the risk of smokers for COPD. Keywords: disease state analysis
2008-06-17 | GSE8545 | GEO
Project description:Cigarette smoking is the leading cause of the respiratory diseases collectively known as chronic obstructive pulmonary disease (COPD). While the pathogenesis of COPD is complex, there is abundant evidence that alveolar macrophages (AM) play an important role. Based on the concept that COPD is a slow-progressing disorder likely involving multiple mediators released by AM activated by cigarette smoke, the present study focuses on the identification of previously unrecognized genes that may be linked to early events in the molecular pathogenesis of COPD, as opposed to factors associated with the presence of disease. To accomplish this, microarray analysis using Affymetrix microarrays was used to carry out an unbiased survey of the differences in gene expression profiles in the AM of phenotypically normal, ~20 pack-yr smokers compared to healthy non-smokers. Although smoking did not alter the global gene expression pattern of AM, 75 genes were modulated by smoking, with 40 genes up-regulated and 35 down-regulated in the AM of smokers compared to non-smokers. Most of these genes belong to the functional categories of immune/inflammatory response, cell adhesion and extracellular matrix, proteolysis and antiproteolysis, lysosomal function, antioxidant-related, signal transduction and regulation of transcription. Of these 75 genes, 69 have not been previously recognized to be up- or down-regulated in alveolar macrophages in association with smoking or COPD, including genes coding for proteins belonging to all of the above categories, and others belonging to various functional categories or of unknown function. These observations suggest that gene expression responses of alveolar macrophages associated with the stress of cigarette smoking are more complex than previously thought, and offer a variety of new insights into the complex pathogenesis of smoking-induced lung diseases. Keywords: Comparison of gene expression profile in smokers vs non-smokers
2005-09-26 | GSE3212 | GEO
Project description:Despite overwhelming data that cigarette smoking causes chronic obstructive pulmonary disease (COPD), only a minority of chronic smokers are affected, strongly suggesting that genetic factors modify susceptibility to this disease. We hypothesized that there are individual variations in the response to cigarette smoking, with variability among smokers in expression levels of protective / susceptibility genes. Affymetrix arrays and TaqMan PCR were used to assess the variability of gene expression in the small airway epithelium obtained by fiberoptic bronchoscopy of 18 normal non-smokers, 18 normal smokers and 18 smokers with COPD. We identified 201 probesets representing 150 smoking-responsive genes that were significantly up- or down-regulated, and assessed the coefficient of variation in expression levels among the study population. Variation was a reproducible property of each gene as assessed by different microarray probesets and realtime PCR and was observed in both normal smokers and smokers with COPD. There was greater individual variability in smokers with COPD than in normal smokers. The majority of these highly variable smoking responsive genes were in the functional categories of signal transduction, xenobiotic degradation, metabolism, transport, oxidant-related and transcription. A similar pattern of the same highly variable genes was observed in an independent data set.We propose that there is likely genetic diversity within this subset of genes with highly variable individual to individual responses of the small airway epithelium to smoking, and this subset of genes represent putative candidates for assessment of susceptibility/protection from disease for future gene-based epidemiological studies for the risk of smokers for COPD. Experiment Overall Design: Affymetrix arrays and TaqMan PCR were used to assess the variability of gene expression in the small airway epithelium obtained by fiberoptic bronchoscopy of 18 normal non-smokers, 18 normal smokers and 18 smokers with COPD.
2008-10-18 | E-GEOD-8545 | biostudies-arrayexpress
Project description:Little is known about alteration of the global gene expression by cigarette smoke (CS) and few biomarkers for smoking-related harm are available. We used Affymetrix HG-U133A GeneChips to measure the transcriptomes in lymphocytes of 23 current healthy smokers. When heavy smokers were compared with light smokers, 311 genes demonstrated a significant difference in mRNA expression of their blood lymphocytes. Experiment Overall Design: The goals of this study were to evaluate novel gene expression profiles and pathways affected by cigarette smoking, and to identify potential biomarkers for cigarette smoke exposure and harm. To this end, we isolated the PBMC from 10 heavy and 13 light smokers, determined their gene expression profiles with Affymetrix microarray and analyzed their relationship with cigarette smoking.
2009-09-15 | E-GEOD-12585 | biostudies-arrayexpress
Project description:Modification of Gene Expression of the Small Airway Epithelium in Response to Cigarette Smoking The earliest morphologic evidence of changes in the airways associated with chronic cigarette smoking is in the small airways. To help understand how smoking modifies small airway structure and function, we developed a strategy using fiberoptic bronchoscopy and brushing to sample the human small airway (10th-12th order) bronchial epithelium to assess gene expression (HG-133 Plus 2.0 array) in phenotypically normal smokers (n=10, 33 ± 7 pack-yr) compared to matched non-smokers (n=12). Even though the smokers were phenotypically normal, analysis of the small airway epithelium of the smokers compared to the non-smokers demonstrated up- and -down-regulation of genes in multiple categories relevant to the pathogenesis of chronic obstructive lung disease (COPD), including genes coding for cytokines/innate immunity, apoptosis, mucin, response to oxidants and xenobiotics, and general cellular processes. In the context that COPD starts in the small airways, these gene expression changes in the small airway epithelium in phenotypically normal smokers are candidates for the development of therapeutic strategies to prevent the onset of COPD. Keywords: smokers vs non-smokers
2006-11-21 | GSE4498 | GEO
Project description:Objectives: To identify transcriptomic differences in the blood and sputum of e-cigarette users compared to conventional cigarettes smokers and healthy controls and describe biological pathways affected by these tobacco products. Methods: Cross-sectional analysis of whole blood and sputum RNA-sequencing data from 8 smokers, 9 e-cigarette users (e-cigs) and 4 controls. Weighted gene co-network analysis (WGCNA) identified gene module associations. Ingenuity Pathway Analysis (IPA) identified canonical pathways associated with tobacco products. Main Results: In blood, a three-group comparison showed 16 differentially expressed genes (DEGs); pair-wise comparison showed 7 DEGs between e-cigs and controls, 35 DEGs between smokers and controls, and 13 DEGs between smokers and e-cigs. In sputum, 438 DEGs were in the three-group comparison. In pair-wise comparisons, there were 2 DEGs between e-cigs and controls, 270 DEGs between smokers and controls, and 468 DEGs between smokers and e-cigs. Only 2 genes in the smokers vs. control comparison overlapped between blood and sputum. Most gene modules identified through WGCNA associated with tobacco product exposures also were associated with cotinine and exhaled CO levels. IPA showed multiple canonical pathways altered by conventional smoking but none by e-cigarette use. Conclusion: Cigarette smoking and e-cigarette use led to transcriptomic changes in both blood and sputum. However, conventional cigarettes induced much stronger transcriptomic responses in both compartments.
2023-05-24 | GSE223736 | GEO
Project description:There are inherited genetic factors that cause different responses to cigarette smoking exposure among individuals. We tried to identify these differences in heavy smokers by examining copy number variations (CNVs) between lung cancer patients and healthy controls. To rule out the CNVs infulenced by age, smoking history and sex, those were matched in both groups.
2011-01-10 | GSE25528 | GEO