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accession-icon GSE994
Effects of cigarette smoke on the human airway epithelial cell transcriptome
  • organism-icon Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A number of studies have shown that cigarette smoking produces a field defect, such that genetic mutations induced by smoking occur throughout the lung and its intra and extra-pulmonary airways. Based on this concept, we have begun this study, which has as its goal the definition of the normal airway transcriptome, an analysis of how that transcriptome is affected by cigarette smoke, and to explore the reversibility of altered gene expression when smoking has been discontinued. We have obtained brushings from intra-pulmonary airways (the right upper lobe carina) and scrapings from the buccal mucosa, from normal smoking and non-smoking volunteers (including 34 Current Smokers, 23 Never Smokers and 18 Former Smokers). RNA was isolated from these samples and gene expression profiles from intra-pulmonary airway epithelial cells were analyzed using Affymetrix U133A human gene expression arrays. All microarray data from the experiments described above have been stored, preprocessed and analyzed in a relational MySQL database that is accessible through our website at http://pulm.bumc.bu.edu/aged

Publication Title

Effects of cigarette smoke on the human airway epithelial cell transcriptome.

Sample Metadata Fields

Sex, Age, Specimen part, Race, Subject

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accession-icon E-MEXP-2298
Transcription profiling of E. coli CAUTI strains during biofilm growth in human urine
  • organism-icon Escherichia coli
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Gene expression profiling of two different E. coli CAUTI strains during biofilm growth in human urine.<br></br>

Publication Title

Escherichia coli isolates causing asymptomatic bacteriuria in catheterized and noncatheterized individuals possess similar virulence properties.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27575
Expression data for UPEC and GBS cystitis in female C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Data defines for the first time a whole bladder transcriptome of UPEC cystitis in female C57BL/6 mice using genome-wide expression profiling and temporal analysis to map early host response pathways stemming from UPEC colonization

Publication Title

Genome-wide mapping of cystitis due to Streptococcus agalactiae and Escherichia coli in mice identifies a unique bladder transcriptome that signifies pathogen-specific antimicrobial defense against urinary tract infection.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE16008
Gene expression from bronchial and nasal epithelial cell samples of healthy current and never smokers.
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

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.

Publication Title

Similarities and differences between smoking-related gene expression in nasal and bronchial epithelium.

Sample Metadata Fields

Sex, Age, Specimen part, Race

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accession-icon GSE8987
Expression data from buccal and nasal epithelium of current and never smokers
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

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.

Publication Title

Smoking-induced gene expression changes in the bronchial airway are reflected in nasal and buccal epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26509
Expression data in UPEC cystitis in female C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Data defines for the first time a whole bladder transcriptome of UPEC cystitis in female C57BL/6 mice using genome-wide expression profiling to map early host response pathways stemming from UPEC colonization

Publication Title

Innate transcriptional networks activated in bladder in response to uropathogenic Escherichia coli drive diverse biological pathways and rapid synthesis of IL-10 for defense against bacterial urinary tract infection.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE33210
Expression data in UPEC cystitis in female CBA mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Data defines for the first time a whole bladder transcriptome of UPEC cystitis in female CBA mice using genome-wide expression profiling to map early host response pathways stemming from UPEC colonization

Publication Title

Innate transcriptional networks activated in bladder in response to uropathogenic Escherichia coli drive diverse biological pathways and rapid synthesis of IL-10 for defense against bacterial urinary tract infection.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE29007
Human Large Airway Epithelial Cells from healthy never and current smoker and smokers with and without lung cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE28835
Large airway epithelial cells from cigarette smokers with and without lung cancer undergoing flexible bronchoscopy in the operating room for resection of a suspicious lung nodule
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Illumina Genome Analyzer IIx

Description

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.

Publication Title

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon SRP006676
mRNA-seq of Human Airway Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

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 Overall design: 4 samples were sequened, each representing a pool of 3 patients. The phenotypes of the 4 samples were as follows: healthy non-smoker, healthy smoker, smoker without lung cancer and smoker with lung cancer.

Publication Title

Characterizing the impact of smoking and lung cancer on the airway transcriptome using RNA-Seq.

Sample Metadata Fields

No sample metadata fields

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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