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accession-icon GSE25692
Expression in prospectively purified human prostate orthotopic xenograft tumor cells with varying S/TFE
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.

Sample Metadata Fields

Cell line

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accession-icon GSE25690
Global analysis of mRNA expression in prospectively purified human prostate orthotopic xenograft tumor cells with varying S/TFE
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

Human prostate CWR22 OT-tumor cells were prospectively purified for expression of various stem cell markers (TRA-1-60/CD151/CD166/EpCAM/CD44/2-Integrin). Unsorted total tumor cells or the additional marker positive cells that do not manifest stem-like characteristics were used as control. All these cells were subjected to molecular profiling of total RNA expression and the fold change data are tabulated according to S/TFE of the purified cells in relation to their control.

Publication Title

Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.

Sample Metadata Fields

Cell line

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accession-icon GSE68892
caArray_geral-00143: An estrogen receptor-negative breast cancer subset characterized by a hormonally regulated transcriptional program and response to androgen
  • organism-icon Homo sapiens
  • sample-icon 104 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Clinical heterogeneity of esrtrogen receptor-negative, progesterone receptor-negative [ER(-)/PR(-)] breast cancer (BC) suggests biological heterogeneity. We performed gene expression analysis of primary BCs and BC cell lines to identify the underlying biology of ER(-)/PR(-) disease, define subsets, and identify potential therapeutic targets.

Publication Title

An estrogen receptor-negative breast cancer subset characterized by a hormonally regulated transcriptional program and response to androgen.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE68882
caArray_geral-00117: Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

The identification of genes that contribute to the biological basis for clinical heterogeneity and progression of prostate cancer is critical to accurate classification and appropriate therapy. We performed a comprehensive gene expression analysis of prostate cancer using oligonucleotide arrays with 63,175 probe sets to identify genes and expressed sequences with strong and uniform differential expression between nonrecurrent primary prostate cancers and metastatic prostate cancers. The mean expression value for >3,000 tumor-intrinsic genes differed by at least 3-fold between the two groups. This includes many novel ESTs not previously implicated in prostate cancer progression. Many differentially expressed genes participate in biological processes that may contribute to the clinical phenotype. One example was a strong correlation between high proliferation rates in metastatic cancers and overexpression of genes that participate in cell cycle regulation, DNA replication, and DNA repair. Other functional categories of differentially expressed genes included transcriptional regulation, signaling, signal transduction, cell structure, and motility. These differentially expressed genes reflect critical cellular activities that contribute to clinical heterogeneity and provide diagnostic and therapeutic targets.

Publication Title

Comprehensive gene expression analysis of prostate cancer reveals distinct transcriptional programs associated with metastatic disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE9526
Expression data from cumulus cells that surround oocytes resulting in early or late cleaving embryos
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Besides the established selection criteria based on embryo morphology and blastomere number, new parameters for embryo viability are needed to improve the clinical outcome of in vitro fertilization (IVF) and more particular of elective single embryo transfer (eSET). The aim of the study was to analyse genome-wide whether the embryo viability was reflected by the expression of genes in the oocyte surrounding cumulus cells. Early cleavage (EC) was chosen as a parameter for embryo viability.

Publication Title

Differential gene expression in cumulus cells as a prognostic indicator of embryo viability: a microarray analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14020
Metastases of breast cancer
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.

Publication Title

Latent bone metastasis in breast cancer tied to Src-dependent survival signals.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14018
Metastases of breast cancer (U133A)
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Comparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.

Publication Title

Latent bone metastasis in breast cancer tied to Src-dependent survival signals.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14017
Metastases of breast cancer (U133plus2)
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Comparisons among breast cancer metastases at different organs revealed distinct microenvironments as characterized by cytokine content.

Publication Title

Latent bone metastasis in breast cancer tied to Src-dependent survival signals.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14107
Lung adenocarcinoma cell line Wnt responsive signature
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Identify Wnt3A responsive signature in lung adenocarcinoma cells

Publication Title

WNT/TCF signaling through LEF1 and HOXB9 mediates lung adenocarcinoma metastasis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15856
Electric stimulation of neonatal rat ventricular cardiomyocytes
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Study on changes in gene expression in primary cultures of neonatal rat ventricular cardiomyocytes to electric stimulation.

Publication Title

Electrical signals affect the cardiomyocyte transcriptome independently of contraction.

Sample Metadata Fields

Treatment

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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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