Epigenome-wide profiling of buccal DNAm in samples obtained from children of pregnant smokers enrolled in the VCSIP RCT: NCT03203603
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE252169 | GEO | 2024/03/19
REPOSITORIES: GEO
Similar Datasets
Project description:Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure. We used microarrays to analyze the gene expression of epithelial cells in the extrathoracic epithelium, specifically nasal and buccal epithelium, to see if these cells underwent similar genetic alterations in response to tobacco exposure as seen in bronchial epithelial cells as has been previously reported. Experiment Overall Design: Buccal and nasal epithelial cell samples were collected from healthy current and never smokers. RNA was isolated from these samples and hybridized to Affymetrix microarrays. Gene expression from never smokers was compared to never smoker gene expression from bronchial epithelium as well as expression data from other tissues to determine commonalities in expression patterns in normal extra- and intra-thoracic samples. In addition, gene expression from smokers and nonsmokers was compared in bronchial, nasal, and buccal epithelium to determine similarities in gene expression in these tissues in response to cigarette smoker exposure.
2008-10-20 | E-GEOD-8987 | biostudies-arrayexpress
Project description:A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies. Samples were collected from eight subjects, four smokers (Sm)and four nonsmokers (NS). Each cheek was sampled creating an a and b sample for each subject which is reflected in the array name. All samples were isolated separately for total RNA. Each was hybridzed to microarrays to examine for differential gene expression between smokers and nonsmokers. There are 14 total samples in the main dataset (Set 2). One cheek sample failed in microarray analysis for two individuals, 08BCNS23 a and 08BCSm27 a, and so are not included here. A sample set (Set 1) was created which contains the four samples shown in this file. They represent repeated sampling of both cheeks for two individuals to test for reproducibility. There is a separate RMA file and metadata file (this file) for these data. These included samples 08BC11Sm a and b, a smoker, and 08BC12NSa and b a nonsmoker.
2010-03-07 | E-GEOD-16149 | biostudies-arrayexpress
Project description:A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.
2010-03-01 | GSE16149 | GEO
Project description:Oral mucosa of smokers is subject to cigarette smoke (CS)-related cytological, genomic, and transcriptional changes that could potentially lead to the development of mouth diseases. In order to further characterize CS effects, we took advantage of two human organotypic in vitro models of the buccal and gingival epithelia (MatTek(R)) that have been developed from the same donor (healthy, non-smoker) to reflect the in vivo situation. Both gingival and buccal organotypic cultures were exposed to fresh, diluted CS at the air-liquid interface in parallel and 4 times (one conventional reference cigarette 3R4F at a time, 1 h intervals, CS dilution with air: 0.46 L/min or 0.16 L/min resulting in CS concentrations of 19.7% and 40.7% (v/v) respectively. Gene expression was captured at time 0 h following the 4th exposure and after different post-exposure time points (4h, 24h, 48h) to investigate time- and concentration-dependent CS effect on both tissues. Other endpoints (e.g. cytotoxicity, pro-inflammatory marker release, cytochrome P450 (CYP) activity, immunohistology) were also measured for some time points. By using computational approaches and by capturing systems biology endpoints, various perturbations of biological processes (e.g. inflammation, cell proliferation, cellular stress) triggered by repeated exposure to CS were analyzed in both buccal and gingival in vitro models. We describe here for the first time the impact of whole CS exposure on human buccal and gingival organotypic in vitro models using various approaches combining systems biology, biological network models, computational methods and standard endpoints.
2014-08-30 | E-MTAB-2251 | biostudies-arrayexpress
Project description:Alternations in gene methylation and other epigenetic changes regulate normal development as well as drive disease progression. Chronic cigarette smoking causes hyper- and hypo-methylation of genes that could contribute to smoking-related diseases. It is unclear whether consumers of non-combustible tobacco, such as moist snuff, also exhibit such perturbations in their methylome. Here, we present global methylation changes relative to non-tobacco consumers in buccal cells collected from smokers (SMK) and moist snuff consumers (MSC). Generally healthy adult male study subjects were recruited into SMK, MSC and Non-Tobacco Consumer (NTC) cohorts (40 subjects/cohort). Global methylation profiling was performed on the Illumina 450K methylation array using buccal cell DNA. A total of 1,252 loci were found to be significantly differentially methylated in tobacco consumers relative to non-tobacco consumers. Overall, the SMK cohort exhibited larger qualitative and quantitative changes relative to MSC. Approximately half of the total number of gene loci, classified as Combustible Tobacco-Related signatures, and a third of the changes, termed Tobacco-Related signatures, were commonly detected in the tobacco consumers. Very few differences were detected between MSC and NTC, and hierarchical clustering of the top 50 significant gene loci suggested that MSC and NTC co-cluster. Consistent with physiological functions of AhR, combustible tobacco drives profound changes in buccal cell methylation status, principally impacting cell development and immune response pathways. These results aid in placing combustible and non-combustible tobacco products along a risk continuum and provide additional insights into the effects of tobacco consumption.
2017-12-01 | GSE94876 | GEO
Project description:Smoking is the leading cause of lung cancer death, although only a small percentage of smokers develop the disease. Cigarette smoke exposure is known to cause a field of injury in cells throughout the respiratory tract, and while these airway epithelial cells are morphologically normal, they can undergo genetic alterations in response to cigarette smoke exposure. We used microarrays to analyze the gene expression of epithelial cells in the extrathoracic epithelium, specifically nasal and buccal epithelium, to see if these cells underwent similar genetic alterations in response to tobacco exposure as seen in bronchial epithelial cells as has been previously reported. Keywords: cross sectional
2008-07-03 | GSE8987 | GEO
Project description:Normal and two transformed buccal keratinocyte lines were cultured under a standardized condition to explore mechanisms of carcinogenesis and tumor marker expression at transcript and protein level. An approach combining three bioinformatic programs allowed coupling of abundant proteins and large-scale transcript data to low-abundance transcriptional regulators. The analysis identified previously proposed, and suggested novel, protein biomarkers, Gene Ontology categories and molecular networks including functionally impaired key regulator genes for buccal/oral carcinoma. Experiment Overall Design: Analysis of differential expression in two transformed buccal keratinocyte lines (SVpgC2a and SqCC/Y1) relative to normal buccal keratinocytes. Both normal and transformed cells were cultured under a standardized serum-free condition. Experiment Overall Design: Two replicates for all cell types were included.
2008-06-15 | E-GEOD-7862 | biostudies-arrayexpress
Project description:Normal and two transformed buccal keratinocyte lines were cultured under a standardized condition to explore mechanisms of carcinogenesis and tumor marker expression at transcript and protein level. An approach combining three bioinformatic programs allowed coupling of abundant proteins and large-scale transcript data to low-abundance transcriptional regulators. The analysis identified previously proposed, and suggested novel, protein biomarkers, Gene Ontology categories and molecular networks including functionally impaired key regulator genes for buccal/oral carcinoma. Keywords: Cell type comparison
2007-08-21 | GSE7862 | GEO
Project description:The most experiments about buccal pouch mucosal cells were investigated in mice and hamster. In these studies we have used porcine buccal pouch mucosal cells cultured primarily in vitro to investigate the expression profile of new molecular markers of mucosal wounding, vascularization and proliferation. In this study, we demonstrated the gene expression profile of long time primary cultured porcine buccal pouch mucosal cells.
2018-04-05 | GSE112659 | GEO
Project description:A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies. Samples were collected from eight subjects, four smokers (Sm)and four nonsmokers (NS). Each cheek was sampled creating an a and b sample for each subject which is reflected in the array name. All samples were isolated separately for total RNA. Each was hybridzed to microarrays to examine for differential gene expression between smokers and nonsmokers. There are 14 total samples in the main dataset (Set 2). One cheek sample failed in microarray analysis for two individuals, 08BCNS23 a and 08BCSm27 a, and so are not included here. A sample set (Set 1) was created which contains the four samples shown in this file. They represent repeated sampling of both cheeks for two individuals to test for reproducibility. There is a separate RMA file and metadata file (this file) for these data. These included samples 08BC11Sm a and b, a smoker, and 08BC12NSa and b a nonsmoker.
| S-ECPF-GEOD-16149 | biostudies-other