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accession-icon GSE31180
Patterns of cancer development and progression in the protein-protein interaction network
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For this study we selected a gene, -synuclein (SNCA), that is consistently under-expressed in MCF7 cells and breast tumors. Following transfection with an SNCA expression construct, two stable MCF7 clones (named MCF7-SNCA #1 and 2) were selected and examined for expression differences relative to the parental MCF7 cells.

Publication Title

Cancer develops, progresses and responds to therapies through restricted perturbation of the protein-protein interaction network.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE86945
Transcriptome characterization of triple negative breast cancer [Italy]
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by mRNA and lncRNAs. To stratify TNBCs, we profiled mRNAs and lncRNA in 158 adjuvant TNBC tumors using an Affymetrix microarray platform. Lehmann clustering analysis allowed us to identify TNBC subtypes featuring unique lncRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm).

Publication Title

Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE86946
Transcriptome characterization of triple negative breast cancer [Mexico]
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by mRNA and lncRNAs. To stratify TNBCs, we profiled mRNAs and lncRNA in 158 adjuvant TNBC tumors using an Affymetrix microarray platform. Lehmann clustering analysis allowed us to identify TNBC subtypes featuring unique lncRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm).

Publication Title

Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18552
CDK inhibitors and flavopiridol profiling on A2780 and MCF7 cells
  • 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

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE19638
Compounds profiling on MCF7
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effects of several compounds on the MCF7 human adenocarcinoma mammary cell line were analysed by gene expression profiling.

Publication Title

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE18486
CDK inhibitors PHA-848125 and PHA-690509 profiling on A2780
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effects of the CDK inhibitors PHA-848125 and PHA-690509 on the A2780 cell line were analysed by gene expression profiling.

Publication Title

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE18498
CDK inhibitor PHA-793887 profiling on A2780
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effects of the CDK inhibitor PHA-793887 on the A2780 human adenocarcinoma ovary cell line were analysed by gene expression profiling.

Publication Title

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE18501
CDK inhibitor PHA-848125 gene expression profiling on MCF7 cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effects of the CDK inhibitor PHA-848125 (referred to as CDK-125) on the MCF7 human adenocarcinoma mammary cell line were analysed by gene expression profiling.

Publication Title

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE18504
Flavopiridol profiling on A2780
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The effects of the CDK inhibitor Flavopiridol on the A2780 human adenocarcinoma ovary cell line were analysed by gene expression profiling.

Publication Title

Discovery of drug mode of action and drug repositioning from transcriptional responses.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE19352
Activation of phosphatidylcholine-cycle enzymes in human epithelial ovarian cancer cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Altered phosphatidylcholine (PC) metabolism in epithelial ovarian cancer (EOC) can provide choline-based imaging approaches as powerful tools to improve diagnosis and identify new therapeutic targets. Biochemical, protein and mRNA expression analyses demonstrated that the increase in the major choline-containing metabolite phosphocholine (PCho) in EOC compared with normal and non-tumoral immortalized counterparts (EONT) mainly rely upon: 1) ChoK activation, consistent with higher protein content and increased ChoKalpha mRNA expression levels; 2) PC-plc activation, consistent with higher, previously reported, protein expression. More limited and variable sources of PCho could derive, in some EOC cells, from activation of Phospholipase D or GPC-pd. Phospholipase A2 activity and isoforms expression levels were lower or unchanged in EOC compared with EONT cells. Increased ChoKalpha mRNA, as well as ChoK and PC-plc protein expression, were also detected in surgical specimens isolated from EOC patients. Overall, we demonstrated that the elevated PCho pool detected in EOC cells primarily resulted from the upregulation/activation of ChoK and PC-plc involved in the biosynthetic and in a degradative pathway of the PC-cycle, respectively.

Publication Title

Activation of phosphatidylcholine cycle enzymes in human epithelial ovarian cancer cells.

Sample Metadata Fields

Age, Specimen part, Disease stage, Cell line

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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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