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accession-icon GSE478
Alveoli loss during caloric restriction time course
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Pulmonary alveoli are complex architectural units thought to undergo endogenous or pharmacologically induced programs of regeneration and degeneration. To study the molecular mechanism of alveoli loss mice were calorie restricted at different timepoints. Lungs were harvested and processed for RNA extraction.

Publication Title

Calorie-related rapid onset of alveolar loss, regeneration, and changes in mouse lung gene expression.

Sample Metadata Fields

Time

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accession-icon GSE484
Alveoli septation inhibition and protection
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

It has been shown that dexamethasone (Dex) impairs the normal lung septation that occurs in the early postnatal period. Treatment with retinoic acid (ATRA) abrogates the effects of Dex. To understand the molecular basis for the Dex indiced inhibition of the formation of the alveoli and the ability of ATRA to prevent the inhibition of septation, gene expression was analyzed in 4-day old mice treated with diluent (control), Dex-treated and ATRA+Dex-treated.

Publication Title

DNA microarray analysis of neonatal mouse lung connects regulation of KDR with dexamethasone-induced inhibition of alveolar formation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE58435
Amniotic fluid RNA gene expression profiling provides insights into the phenotype of Turner syndrome
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Turner syndrome, a common sex chromosome aneuploidy, has characteristics and malformations associated with the phenotype. Fetal amniotic fluid is a complex biological material that could contribute to the understanding Turner syndrome pathogenesis. Global gene expression analysis of Turner syndrome fetal amniotic fluid supernatant was utilized to identify organ systems and specific genes that may play a role in the pathophysiologic changes that are seen in individuals with Turner syndrome.

Publication Title

Amniotic fluid RNA gene expression profiling provides insights into the phenotype of Turner syndrome.

Sample Metadata Fields

No sample metadata fields

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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
accession-icon GSE12815
PI3K pathway activity in the normal airway of smokers with lung cancer, and in smokers with airway dysplasia
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Cytologically normal airway epithelial samples were collected during bronchoscopy of current and former smokers. Subjects enrolled in this study were either under suspicion of having lung cancer, had dysplasia in their airway, or were a healthy current, former or never smoker. We supplemented existing GEO series (GSE4115 and GSE7895) with the samples in this study to explore PI3K pathway activity in the these cohorts.

Publication Title

Airway PI3K pathway activation is an early and reversible event in lung cancer development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE54219
Molecular genomic and transcriptomic profiling of familial breast cancer.
  • organism-icon Homo sapiens
  • sample-icon 155 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic profiling of CHEK2*1100delC-mutated breast carcinomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE49093
The ETS family member GABPa mediates the development of castrate-resistant prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The ETS family member GABPα modulates androgen receptor signalling and mediates an aggressive phenotype in prostate cancer.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE49083
The ETS family member GABPa mediates the development of castrate-resistant prostate cancer (BeadChip)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

In prostate cancer, the androgen receptor (AR) is a key transcription factor at all disease stages. We recently showed that during progression to castrate-resistant prostate cancer the AR acquires the ability to bind to a distinct set of genomic sites in tissue samples and that some of the genes that are regulated by the AR in these conditions correlate with poor prognosis. Based on this work we hypothesised that the AR is reprogrammed through interactions with other transcription factors. In the present study we show that GABP, an ETS transcription factor which is upregulated in CRPC, is an AR-interacting transcription factor. Ectopic expression of GABPA in prostate cancer cell-lines enables them to acquire some of the molecular and cellular characteristics of CRPC tissues as well as more aggressive growth phenotypes.

Publication Title

The ETS family member GABPα modulates androgen receptor signalling and mediates an aggressive phenotype in prostate cancer.

Sample Metadata Fields

Cell line, Treatment

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)

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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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