GEO DataSets

Analysis of T lymphocytes of 3 male heavy smokers. Results provide insight into sensitivity of T lymphocytes to cigarette smoking.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 specimen sets

Platform:

GPL571

Series:

GSE4806

5 Samples

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(Submitter supplied) Cigarette smoke components have a proven negative influence on human health. Adverse metabolic effects have been observed in tissues and single cells. As T-lymphocytes get in contact with affected organs (e.g. lung) or cells (e.g.erythrocytes), as well as with smoke components and bioactive molecules, whose production is influenced by them, we compared the gene exression profiles in these cells of the adaptive immune system of three male heavy smokers and three male non-smokers We combined rapid immuno-precipitation and Affymetrix GeneChip® HG U133A2.0 microarray analysis to analyse the data set. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2563

Platform:

GPL571

6 Samples

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(Submitter supplied) B cells were found to be directly associated with the onset and development of many smoking-induced diseases. However, the in vivo molecular response of B cells underlying the female cigarette smoking remains unknown. Using the genome-wide Affymetrix HG-133A GeneChip® microarray, we compared the gene expression profiles of peripheral circulating B cells between 39 smoking and 40 non-smoking healthy US white females.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3713

Platform:

GPL96

79 Samples

Download data: CEL

Analysis of peripheral circulating B cells from smoking and non-smoking healthy US white females. B cells are directly associated with the onset and development of many smoking-induced diseases. Results provide insight into the molecular basis of B cell involvement in smoking-related pathogenesis.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 stress sets

Platform:

GPL96

Series:

GSE18723

79 Samples

Download data: CEL

(Submitter supplied) Smoking in pregnancy increases a woman's risk of preterm delivery resulting in serious health problems during the newborn period, chronic lifelong disabilities (such as cerebral palsy, mental retardation and learning problems), and even death. Further, smoking women have placental problems such as placenta previa (a low-lying placenta that covers part or all of the opening of the uterus), placental abruption (in which the placenta peels away, partially or almost completely before delivery) often resulting in bleeding during delivery. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3793

Platform:

GPL6104

76 Samples

Download data: TXT

Analysis of placentas of women who smoked during pregnancy. Smoking increases the risk of preterm delivery and complications such as placental previa and abruption. Results provide insight into the molecular basis of smoke-induced placental abnormalities.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent, 3 dose sets

Platform:

GPL6104

Series:

GSE18044

76 Samples

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

1349 Samples

Download data: CEL

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

445 Samples

Download data: CEL

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

405 Samples

Download data: CEL

(Submitter supplied) We profiled genome-wide gene expression in non-tumorous human lung tissues. The overall goal of this project is to improve our molecular understanding of various lung diseases including lung cancer and chronic obstructive pulmonary disease (COPD).

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

499 Samples

Download data: CEL

(Submitter supplied) RNA was obtained from histologically normal bronchial epithelium of smokers during time of clinical bronchoscopy from relatively accessible airway tissue. Gene expression data from smokers with lung cancer was compared with samples from smokers without lung cancer. This allowed us to generate a diagnostic gene expression profile that could distinguish the two classes. This profile could provide additional clinical benefit in diagnosing cancer amongst smokers with suspect lung cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2771

Platform:

GPL96

192 Samples

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Analysis of large airway epithelial cells from cigarette smokers without cancer, with cancer, and with suspect lung cancer. Results provide insight into the feasibility of using gene expression to detect early stage lung cancer in smokers.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 3 disease state sets

Platform:

GPL96

Series:

GSE4115

192 Samples

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(Submitter supplied) Maternal smoking has a severe negative effect on all stages of pregnancy that in consequence impairs fetal growth and development. Tobacco smoke-related defects are well established at the clinical level; however, little is known about molecular mechanisms underlying these pathological conditions. We thus employed a genomic approach to determine transcriptome alterations induced by maternal smoking in pregnancy. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3929

Platform:

GPL6883

183 Samples

Download data: TXT

Analysis of peripheral blood leukocytes and placenta of pregnant smokers. Umbilical cord blood leukocytes of their newborns also examined. Maternal smoking has a negative effect on all stages of pregnancy. Results provide insight into molecular mechanisms underlying tobacco smoke-related defects.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 3 specimen sets

Platform:

GPL6883

Series:

GSE27272

183 Samples

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(Submitter supplied) 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). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2486

Platform:

GPL570

22 Samples

Download data: CEL, CHP

(Submitter supplied) 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 (Affymetrix HG-U133A array) in phenotypically normal smokers (n=6, 24 ± 4 pack-yr) compared to matched non-smokers (n=5). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1304

Platform:

GPL96

11 Samples

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Analysis of small airway epithelial cells of phenotypically normal smokers. The earliest morphologic evidence of changes in the airways associated with chronic cigarette smoking is in the small airways. Results provide insight into how smoking modifies small airway structure and function.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 stress sets

Platform:

GPL570

Series:

GSE4498

22 Samples

Download data: CEL, CHP

Analysis of phenotypically normal 10th to 12th order small airway bronchial epithelia from cigarette smokers. Cigarette smoking is the most common cause of chronic obstructive pulmonary disease (COPD). Results provide insight into the early pathogenesis of COPD.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 stress sets

Platform:

GPL96

Series:

GSE3320

11 Samples

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