GEO DataSets

(Submitter supplied) Background: While electronic cigarette (ECIG) use is rapidly rising, their safety profile remains uncertain. The effects of tobacco cigarette (TCIG) smoke on bronchial airway epithelial gene-expression have provided insights into tobacco-related disease pathogenesis. Understanding the impact of electronic cigarettes (ECIGs) on airway gene-expression could provide insights into their potential long-term health effects. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17556

45 Samples

Download data: CEL

(Submitter supplied) Analysis of primary human bronchial epithelial cells grown in air liquid interface, exposed in vitro to whole tobacco cigarette smoke (48 puffs, 48 minutes) and electronic cigarette aerosol (400 puffs, 200 minutes). Electronic cigarette exposures included two flavors (menthol, tobacco) both with, and without nicotine.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17556

18 Samples

Download data: CEL

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Datasets:

GDS3054 GDS3309

Platforms:

GPL96 GPL571

25 Samples

Download data: CEL, CHP, EXP

Analysis of nasal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the nose.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL571

Series:

GSE8987

15 Samples

Download data: CEL, CHP, EXP

Analysis of buccal epithelia from cigarette smokers. Cigarette smoke creates a field of injury in epithelial cells lining the respiratory tract. Results extend the concept of a smoking-induced field of injury beyond intrathoracic (bronchial) epithelia to extrathoracic epithelia that line the mouth.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL96

Series:

GSE8987

10 Samples

Download data: CEL, CHP, EXP

(Submitter supplied) Comparison of gene and protein expression in the large airway epithelium of never and current smokers. Keywords: gene expression array-based (RNA / in situ oligonucleotide)

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

8 Samples

Download data: CEL

(Submitter supplied) mRNA expression was assayed from bronchial epithelial cells collected via bronchoscopy and nasal epithelial cells collected by brushing the inferior turbinate from healthy current and never smoker volunteers in order to determine the relationship between smoking-related gene expression changes in bronchial and nasal epithelium within the same individual.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

73 Samples

Download data: CEL

(Submitter supplied) We previously derived and validated a bronchial epithelial gene expression biomarker to detect lung cancer in current and former smokers. Given that bronchial and nasal epithelium gene expression is similarly altered by cigarette smoke exposure, we sought to determine if cancer-associated gene expression might also be detectable in more readily accessible nasal epithelium. Nasal epithelial brushings were prospectively collected from current and former smokers with pulmonary lesions suspicious for lung cancer in the AEGIS-1 (n=375) and AEGIS-2 (n=130) clinical trials and gene expression profiled using microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

505 Samples

Download data: CEL

(Submitter supplied) Cigarette smoking is the main risk factor for the development of squamous cell lung carcinoma (SCC). However, the smoking-related molecular changes in SCC have not been studied. We wanted to identify genes in both histologically normal bronchial epithelium and SCC samples that are differentially expressed between current and ex-smokers. In addition, to analyze the levels of the smoking-related genes identified in normal bronchial epithelium with the levels in SCC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1708

62 Samples

Download data: PDF, TXT

(Submitter supplied) BACKGROUND: We have previously reported gene expression changes in the bronchial airway epithelium of active chronic smokers. In this study, we investigate the effects of Acute Smoke Exposure (ASE) from cigarettes on airway epithelial gene expression. METHODS: Bronchial airway epithelial cell brushings were collected via fiberoptic bronchoscopy from 63 individuals without recent exposure to cigarette smoke (> 2 days), at baseline and at 24 hours after smoking three cigarettes. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17244

126 Samples

Download data: CEL

(Submitter supplied) We have previously shown that gene-expression alterations in cytologically normal appearing bronchial epithelial cells can be used as a biomarker for lung cancer detection in smokers (Whitney et al., BMC Medical Genomics 2015; Silvestri et al., NEJM 2015). In this study, we have established that there are also alterations in bronchial microRNA-expression of smokers with lung cancer. Importantly, the performance of an existing bronchial mRNA-biomarker has been improved by integrating microRNA with mRNA expression.

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL11154

347 Samples

Download data: CSV

(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

(Submitter supplied) RNA was obtained from histologically normal bronchial epithelium of never, former, and current smokers undergoing fiberoptic bronchoscopy. Statistical analysis of the gene expression data identified gene differentially expressed between current and never smokers and classified these genes as irreversible, slowly reversible, or rapidly reversible based on their behavior in former smokers Keywords: Disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

104 Samples

Download data: CEL

(Submitter supplied) Using primary human bronchial epithelial cells collected at bronchoscopy, we have perturbed signaling pathways important in regulation of response to tobacco smoke exposure and cancer development: ATM, BCL2, GPX1, NOS2, IKBKB, and SIRT1 Using gene expression profiles generated for each pathway and four independent gene expression datasets, we show that SIRT1 activity is significantly up-regulated in cytologically normal airway epithelial cells from active smokers compared to non-smokers; and in contrast, this activity is strikingly down-regulated in non-small cell lung cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10200

52 Samples

Download data: CEL

(Submitter supplied) 24 SAGE libraries comprising of 8 current smokers, 12 former smokers and 4 never smokers. Keywords: SAGE, gene expression, current, former, never, smokers

Organism:

Homo sapiens

Type:

Expression profiling by SAGE

Platform:

GPL4

24 Samples

Download data

(Submitter supplied) Prior microarray studies of smokers at high risk for lung cancer have demonstrated that heterogeneity in bronchial airway epithelial cell gene expression response to smoking can serve as an early diagnostic biomarker for lung cancer. This study examines the relationship between gene expression variation and genetic variation in a central molecular pathway (NRF2-mediated antioxidant response) associated with smoking exposure and lung cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

60 Samples

Download data: CEL

(Submitter supplied) Nuclear factor erythroid 2-related factor 2 (NFE2L2, Nrf2) is an oxidant responsive transcription factor known to induce phase 2 detoxifying and antioxidant genes to protect cells from oxidative stress. Cigarette smoke, with its large oxidant content, is a major stressor to the small airway epithelium, the cells of which are vulnerable to oxidant damage and consequent malignant transformation. In this study, we assessed the role of cigarette smoke in activation of Nrf2 in the human small airway epithelium in vivo. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

83 Samples

Download data: CEL, CHP

(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