GEO DataSets

(Submitter supplied) Healthy ex vivo biopsies from masticatory mucosa from 17 current and 21 never smokers were analysed using whole transcriptome RNA sequencing (16 mio reads/sample), showing significantly increased expression of CYP1B1 in smokers compared to non-smokers (p = 2.2 × 10−14), together with 13 significantly upregulated transcripts. Six transcripts were significantly downregulated.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21290

38 Samples

Download data: TXT

(Submitter supplied) Smoking-associated DNA hypomethylation has been observed in blood cells and linked to lung cancer risk. However, its cause and mechanistic relationship to lung cancer remain unclear. We studied the association between tobacco smoking and epigenome-wide methylation in non-tumor lung (NTL) tissue from 237 lung cancer cases in the Environment And Genetics in Lung cancer Etiology study, using the Infinium HumanMethylation450 BeadChip. more...

Organism:

Homo sapiens

Type:

Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platform:

GPL11154

8 Samples

Download data: BED, BW

(Submitter supplied) Smoking-associated DNA hypomethylation has been observed in blood cells and linked to lung cancer risk. However, its cause and mechanistic relationship to lung cancer remain unclear. We studied the association between tobacco smoking and epigenome-wide methylation in non-tumor lung (NTL) tissue from 237 lung cancer cases in the Environment And Genetics in Lung cancer Etiology study, using the Infinium HumanMethylation450 BeadChip. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

11 Samples

Download data: TXT

(Submitter supplied) To better characterize smoking–associated methylation changes in whole blood, we used Illumina HumanMethylation450 BeadChip to assess DNA samples from current (SM, n=172) and never smokers (NS, n=81).

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

253 Samples

Download data: IDAT, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Methylation profiling by genome tiling array

Platforms:

GPL13534 GPL10558

2832 Samples

Download data

(Submitter supplied) The MESA Epigenomics and Transcriptomics Study has been launched to investigate potential gene expression regulatory methylation sites in humans by examining the association between CpG methylation and gene expression in purified human monocytes from a large study population (community-dwelling participants in the Multi-Ethnic Study of Atherosclerosis (MESA)). The MESA Epigenomics and Transcriptomics Study was funded by a National Heart, Lung and Blood Institute grant (R01HL101250) through the NIH Roadmap Epigenomics Program in 2009.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

1202 Samples

Download data: TXT

(Submitter supplied) Background Chronological aging-associated changes in the human DNA methylome are studied by multiple epigenome-wide association studies (EWAS); however, the aging-associated DNAmet changes identified among different age groups and tissues vary and especially the rates of aging-associated alterations in the epigenome during adulthood remain unclear. Here, we further explore and characterize CpG-sites where DNA methylation levels alter at a constant rate during adulthood and are also independent of blood cell type heterogeneity. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

184 Samples

Download data: TXT

(Submitter supplied) DNA methylation is an epigenetic event whose pattern is altered frequently in a wide variety of human diseases. Smoking affects DNA methylation possibly leading to abnormal expression of a broad spectrum of genes which in turn may result to the various side effects and diseases associated with smoking. The long term effects of smoking have been widely studied but the mechanism(s) by which those effects may be reversible by smoking cessation are not clearly understood. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

464 Samples

Download data: TXT

(Submitter supplied) Gene expression profiles were compared to investigate age-marking differential gene expression.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

881 Samples

Download data: TXT

(Submitter supplied) Abstract The proper identification of differentially methylated CpGs is central in most epigenetic studies. The Illumina Human Methylation 450k BeadChip is widely used to quantify DNA methylation, nevertheless the design of an appropriate analysis pipeline faces severe challenges due to the convolution of biological and technical variability and the presence of a signal bias between Infinium I and II probe design types. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

95 Samples

Download data: IDAT, TXT

(Submitter supplied) Tobacco smoking alters DNA methylation profiles of immune cells which may underpin some of the pathogenesis of smoking-associated diseases. However, approaches linking smoking-driven epigenetic effects in specific immune cell types with disease risk are limited. We isolated six leukocyte subtypes, CD14+ monocytes, CD15+ granulocytes, CD19+ B cells, CD4+ T cells, CD8+ T cells, and CD56+ natural killer cells, from whole blood of healthy adult smokers and nonsmokers for epigenome-wide association study (EWAS).

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platforms:

GPL13534 GPL29753

876 Samples

Download data: IDAT, TXT

(Submitter supplied) To investigate blood biomarkers of smokers and to provide molecular basis of B cell subtype shift from naïve to memory in smokers, total RNA from peripheral CD19+ B cells isolated from healthy adult smokers and nonsmokers was subjected to RNA-Seq and data were analyzed with covariates including age, race, sex, BMI, estimated CD4+T cell%, CD8+T cell%, natural killer (NK) cell%, monocyte%, granulocyte%, or naive B cell%.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

35 Samples

Download data: TXT

(Submitter supplied) Background While smoking is known to associate with development of multiple diseases, the underlying mechanisms are still poorly understood. Tobacco smoking can modify the chemical integrity of DNA leading to changes in transcriptional activity, partly through an altered epigenetic state. We aimed to investigate the impact of smoking on lung cells collected from bronchoalveolar lavage (BAL). Methods We profiled changes in DNA methylation (5mC) and its oxidized form hydroxymethylation (5hmC) using conventional bisulfite (BS) treatment and oxidative bisulfite treatment with Illumina Infinium MethylationEPIC BeadChip, and examined gene expression by RNA-seq in healthy smokers. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL23976

70 Samples

Download data: IDAT, TXT

(Submitter supplied) 40 current smokers and 40 age- and gender- matched never smokers underwent buccal biopsies.The study had four objectives: (a) to define the effects of smoking on the transcriptome of oral epithelial cells; (b) to determine if any of the effects of tobacco smoke on the transcriptome are gender-dependent; (c) to compare the effects of tobacco smoke exposure on the transcriptome in oral v. bronchial epithelium and (d) to identify agents with the potential to suppress the effects of tobacco smoke on the transcriptome. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3709

Platform:

GPL570

79 Samples

Download data: CEL

Analysis of oral mucosae from 40 cigarette smokers and 40 age and gender matched never-smokers. Results provide insight into the carcinogenic effects of cigarette smoke.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 2 gender sets

Platform:

GPL570

Series:

GSE17913

79 Samples

Download data: CEL

(Submitter supplied) B-cell precursor acute lymphoblastic leukemia (pre-B ALL) is the most common pediatric cancer. Although the genetic origin of the disease remains unclear, epigenetic modifications including DNA methylation are suggested to contribute significantly to leukemogenesis. We assessed the DNA methylation status of 402,842 CpG-sites across the genome (Illumina 450k array) in tumor and remission samples of 46 pre-B ALL patients, thus generating the most comprehensive single CpG-site resolution pre-B ALL methylomes so far. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

92 Samples

Download data: TXT

(Submitter supplied) Genetic and environmental risk factors contribute to periodontal disease, but the underlying susceptibility pathways are not fully understood. Epigenetic mechanisms are malleable regulators of gene function that can change in response to genetic and environmental stimuli, thereby providing a potential mechanism mediating risk effects in periodontitis. The aim of this study is to identify epigenetic changes across tissues that are associated with periodontal disease.

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

480 Samples

Download data: IDAT, TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Expression profiling by high throughput sequencing

Platforms:

GPL13447 GPL10999

21 Samples

Download data: BEDGRAPH, CEL, TXT

(Submitter supplied) mRNA expression was profiled from pooled bronchial airway epithelial cell brushings (n=3 patients/pool) obtained during bronchoscopy from healthy never (NS) and current smokers (S) and smokers with (C) and without (NC) lung cancer

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL10999

8 Samples

Download data: BEDGRAPH, GTF, TXT

(Submitter supplied) mRNA expression was assayed from bronchial epithelial cell samples from smokers with and without lung cancer. A subset of the samples (2 of the lung cancer samples and 3 of the no cancer samples) were pooled and underwent whole transcriptome sequencing. The goals were to compare whole transcriptome sequencing gene expression levels to gene expression levels derived from these samples run on the Affymetrix HGU133A 2.0 platform.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL13447

13 Samples

Download data: CEL