Genome-wide RNA-sequencing differences in nucleus accumbens of smokers vs. nonsmokers
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ABSTRACT:
PROVIDER: PRJNA721610 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR14227600_1.fastq.gz | Fastqsanger.gz | |||
| SRR14227600_2.fastq.gz | Fastqsanger.gz | |||
| SRR14227700_1.fastq.gz | Fastqsanger.gz | |||
| SRR14227700_2.fastq.gz | Fastqsanger.gz | |||
| SRR14227800_1.fastq.gz | Fastqsanger.gz |
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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:Genome-wide DNA methylation differences in nucleus accumbens of smokers vs. nonsmokers
| PRJNA612837 | ENA
Project description:Numerous DNA methylation (DNAm) biomarkers of cigarette smoking have been identified in peripheral blood studies, but because of tissue specificity, blood-based studies may not detect brain-specific smoking-related DNAm differences that may provide greater insight as neurobiological indicators of smoking and its exposure effects. We report the first epigenome-wide association study (EWAS) of smoking in human postmortem brain, focusing on nucleus accumbens (NAc) as a key brain region in developing and reinforcing addiction. Illumina HumanMethylation EPIC array data from 221 decedents (120 European American [23% current smokers], 101 African American [26% current smokers]) were analyzed. DNAm by smoking (current vs. nonsmoking) was tested within each ancestry group using robust linear regression models adjusted for age, sex, cell-type proportion, DNAm-derived negative control principal components (PCs), and genotype-derived PCs. The resulting ancestry-specific results were combined via meta-analysis. We extended our NAc findings, using published smoking EWAS results in blood, to identify DNAm smoking effects that are unique (tissue-specific) vs. shared between tissues (tissue-shared). We identified seven CpGs (false discovery rate < 0.05), of which three CpGs are located near genes previously indicated with blood-based smoking DNAm biomarkers: ZIC1, ZCCHC24, and PRKDC. The other four CpGs are novel for smoking-related DNAm changes: ABLIM3, APCDD1L, MTMR6, and CTCF. None of the seven smoking-related CpGs in NAc are driven by genetic variants that share association signals with predisposing genetic risk variants for smoking, suggesting that the DNAm changes reflect consequences of smoking. Our results provide the first evidence for smoking-related DNAm changes in human NAc, highlighting CpGs that were undetected as peripheral biomarkers and may reflect brain-specific responses to smoking exposure.
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Project description:We are investigating the methylation profiles associated with cigarette smoke exposure. We used arrays to compare the DNA methylation profiles in healthy human smokers and nonsmokers. Nasal epithelial cells were extracted from 12 volunteers (6 smokers, 6 nonsmokers), and grown until fully differentiated. DNA was extracted from samples, and bisulfite converted, hybridized, and scanned to IlluminaMethylation27 BeadChip arrays.
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Project description:We are investigating the methylation profiles associated with cigarette smoke exposure. We used arrays to compare the DNA methylation profiles in healthy human smokers and nonsmokers.
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Project description:Lectins are proteins present on cell surfaces or as shed extracellular proteins that function in innate immune defense as phagocytic receptors to recognize specific bacterial cell wall components. Based on the knowledge that cigarette smoking is associated with increased risk of bacterial infection, we hypothesized that cigarette smoking may modulate the expression of lectin genes in the airway epithelium. Affymetrix HG U133 Plus 2.0 microarrays were used to survey expression of lectin genes in large (3rd to 4th order bronchi) airway epithelium from 9 normal nonsmokers and 20 phenotypic normal smokers and small (10th to 12th order bronchi) airway epithelium from 13 normal nonsmokers and 20 phenotypic normal smokers. From the 72 lectin genes that were surveyed, there were no changes (>2-fold change, p<0.05) in gene expression in either large or small airway epithelium among normal smokers compared to nonsmokers except for a striking down regulation in both large and small airway epithelium of normal smokers of intelectin 1, a recently described lectin that participates in the innate immune response by recognizing and binding to galactofuranosyl residues in the cell walls of bacteria (large airway epithelium, p<0.003; small airway epithelium, p<0.002). TaqMan RT-PCR confirmed the observation that intelectin 1 was down-regulated in both large (p<0.05) and small airway epithelium (p<0.02) of normal smokers compared to normal nonsmokers. Immunohistochemistry assessment of biopsies of the large airway epithelium of normal nonsmokers demonstrated intelectin 1 was expressed in secretory cells, with qualitatively decreased expression in biopsies from normal smokers. Western analysis confirmed the decreased expression of intelectin 1 in airway epithelium of normal smokers compared to normal nonsmokers (p<0.02). Finally, compared to normal nonsmokers, intelectin 1 expression was decreased in small airway epithelium of smokers with early COPD (n= 13, p<0.001) and smokers with established COPD (n= 14, p<0.001), in a fashion similar to that of normal smokers. In the context that intelectin 1 is an epithelial molecule that likely plays a role in defense against bacteria, the down regulation of expression of intelectin 1 in response to cigarette smoking may contribute to the increase in susceptibility to infections observed in smokers, including those with COPD. Keywords: COPD Comparison of gene expression in airway epithelial cells of normal non-smokers, phenotypic normal smokers, smokers with early COPD, and smokers with COPD.
2008-12-19 | E-GEOD-10006 | biostudies-arrayexpress
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