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accession-icon GSE36598
Global transcriptional role of CtBP in breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 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

Genome-wide profiles of CtBP link metabolism with genome stability and epithelial reprogramming in breast cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE36529
Expression data from CtBP knockdown MCF-7 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CtBP is a global co-repressor by serving as transcriptional factor in multiple pathways. CtBP functioned as transcriptional factor by recruiting other cofactors such as G9a, HDAC1 and PcG proteins. CtBP is found to be over enriched in several type of tumor samples. To dipict the role of CtBP in globally regulating gene expression, we applied gene microarray technology to find out what subgroups of genes are mainly affected.

Publication Title

Genome-wide profiles of CtBP link metabolism with genome stability and epithelial reprogramming in breast cancer.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE5816
A Genome-wide Screen for Hypermethylated Genes in Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Abstract

Publication Title

A genome-wide screen for promoter methylation in lung cancer identifies novel methylation markers for multiple malignancies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6695
Genome-wide screen for promoter methylation in NSCLC identifies novel methylation markers for multiple malignancies
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

BACKGROUND: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The "rules" governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor type-specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype would identify pathways important as therapeutic targets. METHODS AND FINDINGS: In an effort to identify new cancer-specific methylation markers, we employed a high-throughput global expression profiling approach in lung cancer cells. We identified 132 genes that have 5' CpG islands, are induced from undetectable levels by 5-aza-2'-deoxycytidine in multiple non-small cell lung cancer cell lines, and are expressed in immortalized human bronchial epithelial cells. As expected, these genes were also expressed in normal lung, but often not in companion primary lung cancers. Methylation analysis of a subset (45/132) of these promoter regions in primary lung cancer (n = 20) and adjacent nonmalignant tissue (n = 20) showed that 31 genes had acquired methylation in the tumors, but did not show methylation in normal lung or peripheral blood cells. We studied the eight most frequently and specifically methylated genes from our lung cancer dataset in breast cancer (n = 37), colon cancer (n = 24), and prostate cancer (n = 24) along with counterpart nonmalignant tissues. We found that seven loci were frequently methylated in both breast and lung cancers, with four showing extensive methylation in all four epithelial tumors. CONCLUSIONS: By using a systematic biological screen we identified multiple genes that are methylated with high penetrance in primary lung, breast, colon, and prostate cancers. The cross-tumor methylation pattern we observed for these novel markers suggests that we have identified a partial promoter hypermethylation signature for these common malignancies. These data suggest that while tumors in different tissues vary substantially with respect to gene expression, there may be commonalities in their promoter methylation profiles that represent targets for early detection screening or therapeutic intervention.

Publication Title

A genome-wide screen for promoter methylation in lung cancer identifies novel methylation markers for multiple malignancies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE91393
Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE91392
Human expression data from Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin.
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The cell of origin in glioblastoma is not formally proven but generally accepted to be a neural stem cell or glial precursor cell. In addition, there is also limited knowledge about the functional consequences of the cell of origin for glioblastoma development and response to therapy.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE91391
Mouse expression data from Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The cell of origin in glioblastoma is not formally proven but generally accepted to be a neural stem cell or glial precursor cell. In addition, there is also limited knowledge about the functional consequences of the cell of origin for glioblastoma development and response to therapy.

Publication Title

Glioblastoma Cell Malignancy and Drug Sensitivity Are Affected by the Cell of Origin.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19599
Expression data for normal flow sorted hematopietic cell subpopulations
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of normal hematopoietic cell subpopulations

Publication Title

Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE13124
Natural compound screening
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional expression data for bioactive small molecules for mechanism identification.

Publication Title

Identification of a novel topoisomerase inhibitor effective in cells overexpressing drug efflux transporters.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP016623
De novo piRNA cluster formation in the Drosophila germline triggered by transgenes containing a transcribed transposon fragment
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PIWI interacting RNAs (piRNAs) provide defense against transposable element (TE) expansion in the germline of metazoans. piRNAs are processed from the transcripts encoded by specialized heterochromatic clusters enriched in damaged copies of transposons. How these regions are recognized as a source of piRNAs is still elusive. The aim of this study is to determine how transgenes that contain a fragment of the LINE-like I transposon lead to an acquired TE resistance in Drosophila. We show that such transgenes, being inserted in unique euchromatic regions which normally do not produce small RNAs, become de novo bidirectional piRNA clusters that silence I-element activity in the germline. Strikingly, small RNAs of both polarities are generated from the entire transgene and flanking genomic sequences — not only from the transposon fragment. Chromatin immunoprecipitation analysis shows that in ovaries the trimethylated histone 3 lysine 9 (H3K9me3) mark associates with transgenes producing piRNAs. We show that transgene-derived hsp70 piRNAs stimulate in trans cleavage of cognate endogenous transcripts with subsequent processing of the non-homologous parts of these transcripts into piRNAs. Overall design: The fractions of small RNAs (19-29 nt) from ovaries of wild type and 11 transgenic lines of Drosophila melanogaster were sequenced using Illumina HiSeq 2000.

Publication Title

De novo piRNA cluster formation in the Drosophila germ line triggered by transgenes containing a transcribed transposon fragment.

Sample Metadata Fields

Specimen part, Subject

View Samples

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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