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accession-icon GSE15477
Data integration from two microarray platforms identifies genetic inactivation of RIC8A in a breast cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. Real-time PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P=0.006). We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Publication Title

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line.

Sample Metadata Fields

Sex, Disease, Cell line, Treatment, Time

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accession-icon GSE69552
Cell-of-origin links lung tumor histotype spectrum to immune microenvironment diversity
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Lung cancers exhibit pronounced functional heterogeneity, confounding precision medicine. We studied how the cell-of-origin contributes to phenotypic heterogeneity following conditional expression of KrasG12D and loss of Lkb1 (Kras;Lkb1). Using progenitor cell type-restricted adenoviral-Cre to target cells expressing Surfactant Protein C (SPC) or club cell antigen 10 (CC10), we show that Ad5-CC10-Cre infected mice exhibit a shorter latency compared with Ad5-SPC-Cre cohorts. We further demonstrate that CC10+ cells are the predominant progenitors of adenosquamous carcinoma (ASC) tumors, and give rise to a wider spectrum of histotypes that includes mucinous and acinar adenocarcinomas. Transcriptome analysis shows ASC histotype-specific upregulation of proinflammatory and immunomodulatory genes. This is accompanied with an ASC-specific immunosuppressive environment, consisting of downregulated MHC genes, recruitment of CD11b+ Gr-1+ tumor-associated neutrophils (TANs) and decreased T-cell numbers. We conclude that progenitor cell-specific etiology influences the Kras;Lkb1-driven tumor histopathology spectrum and histotype-specific immune microenvironment.

Publication Title

Cell of Origin Links Histotype Spectrum to Immune Microenvironment Diversity in Non-small-Cell Lung Cancer Driven by Mutant Kras and Loss of Lkb1.

Sample Metadata Fields

Specimen part

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accession-icon GSE13400
Exposure of SKGT4 and HET-1A cell lines to deoxycholic acid (DCA)
  • organism-icon Homo sapiens
  • sample-icon 30 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

An integrative genomic approach in oesophageal cells identifies TRB3 as a bile acid responsive gene, downregulated in Barrett's oesophagus, which regulates NF-kappaB activation and cytokine levels.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13376
Exposure of Barrett's associated adenocarcinoma cell lines SKGT4 to deoxycholic acid (DCA)
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The involvment of bile acids such as deoxycholic acid (DCA) in gastro-esophageal reflux disease and subsequent Barretts metaplsia has been postulated. This study examines gene expression induced by exposure to DCA in esophageal cells and may be utilised in cross-comparisons with data derived from gene expression studies of Barretts esophagus and associated adenocarcinoma.

Publication Title

An integrative genomic approach in oesophageal cells identifies TRB3 as a bile acid responsive gene, downregulated in Barrett's oesophagus, which regulates NF-kappaB activation and cytokine levels.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13378
Exposure of squamous esophageal cell line HET-1A to deoxycholic acid (DCA)
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The involvment of bile acids such as deoxycholic acid (DCA) in gastro-esophageal reflux disease and subsequent Barretts metaplsia has been postulated. This study examines gene expression induced by exposure to DCA in esophageal cells and may be utilised in cross-comparisions with data derived from gene expression studies of Barretts esophagus and associated adenocarcinoma. Additionally this study may be used to assess divergence in response to bile acids by comparisons with similar study performed in SKGT4 barrett''s assocaited adenocarcinoma cell line.

Publication Title

An integrative genomic approach in oesophageal cells identifies TRB3 as a bile acid responsive gene, downregulated in Barrett's oesophagus, which regulates NF-kappaB activation and cytokine levels.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60352
Analyses of iHC transcriptome profiles
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Mechanosensory hair cells (HCs) are the primary receptors of our senses of hearing and balance. However, very little is known about the transcriptional regulators involved in HC fate determination and differentiation. In this paper, we show that expression of three HC lineage-specific transcription factors: Gfi1, Pou4f3 and Atoh1, can induce a direct commitment towards HC fate during in vitro embryonic stem cell (ESC) differentiation. Induced HCs (iHCs) express numerous HC-specific genes and exhibit polarized membrane protusions reminiscent of stereociliary bundles.

Publication Title

Generation of sensory hair cells by genetic programming with a combination of transcription factors.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE2144
Gene induction by low pH in oesophageal cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Differential gene expression analysis of oesophageal cells stimulated with a low pH environment. Study designed to identify pathways involved in progression of gastro-oesophageal reflux disease through Barrett's oesophagus to adenocarcinoma. Identified many subsets of genes with involvement in pathogenesis.

Publication Title

Low pH induces co-ordinate regulation of gene expression in oesophageal cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE40220
INTESTINAL FILTER FOR USE IN OESOPHAGEAL CANCER RESEARCH
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study utilise the examination of normal gastro-intestinal tissues to determine a tissue specific signal for use in deriving the intestinal signature of intestinal metaplasias of the oesophagus. Normal oesophageal, colonic and duodenal tissue biopsies were taken after informed consent and RNA was extracted following histological examination of adjacent tissues for normal aperaing mucosa.

Publication Title

The characterization of an intestine-like genomic signature maintained during Barrett's-associated adenocarcinogenesis reveals an NR5A2-mediated promotion of cancer cell survival.

Sample Metadata Fields

Specimen part

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accession-icon SRP102891
Gene expression profiles of cardiomyocytes infected with Ad-CaMKII-delta 2 or Ad-CaMKII-delta 9 over Ad-lacZ
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To elucidate the mechanisms responsible for the different cellular functions of CaMKII-delta 9 and delta 2, we performed RNA-seq analysis on cultured NRVMs overexpressing CaMKII-delta 9 or delta 2 to determine their potential effects on cardiac transcriptome.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line, Treatment

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accession-icon GSE6022
Immunoprecipitation of U2AF65 associated mRNAs
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

U2AF65 is an essential splicing factor involved in the 3'splice site recognition dureing the first steps of spliceosome assembly. In addition, this protein has nucleocytoplasmic shuttling activity and the Drosophila homologue has been implicated in mRNA export.

Publication Title

Genome-wide identification of functionally distinct subsets of cellular mRNAs associated with two nucleocytoplasmic-shuttling mammalian splicing factors.

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)

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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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