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accession-icon GSE34670
Gene expression in pediatric cALL
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Common ALL (cALL) is the most frequent entity of childhood ALL and carries an early pre-B cell phenotype. Expression patterns of 25 pediatric cALL samples were analyzed by use of high-density DNA microarrays HG-U133A.

Publication Title

MondoA is highly overexpressed in acute lymphoblastic leukemia cells and modulates their metabolism, differentiation and survival.

Sample Metadata Fields

Specimen part

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accession-icon GSE113423
Differentiation-dependent regulation of human endogenous retrovirus K sequences and neighbouring genes in germ cell tumour cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile in a panel of germ cell tumour cell lines

Publication Title

Differentiation-Dependent Regulation of Human Endogenous Retrovirus K Sequences and Neighboring Genes in Germ Cell Tumor Cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE1825
SRBCT
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Comparison of gene expression profiles between neuroblastoma samples and Ewing family tumor samples. RNA from native tumor samples was processed for DNA-microarray analysis using Affymetrix HG-U133A microarrays. Primary image analysis was performed using MAS 5.0 and data were scaled to an target intesity of 500.

Publication Title

DNA microarrays reveal relationship of Ewing family tumors to both endothelial and fetal neural crest-derived cells and define novel targets.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23058
Induction of epididymis specific G-protein coupled receptor-64 (GPR64) in Ewing Tumors supports invasiveness and metastatic spread
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Metastatic spread in Ewing Tumors (ET) is hematogenous and malignant features have been shown to correlate with hypoxia and angiogenesis. We identified several Ewing tumor specific genes (Staege MS et al. Cancer Res. 2004;64:8213-21). Microarray analysis confirmed an endothelial signature of this tumor and revealed the G-protein coupled receptor-64 (GPR64), an orphan receptor with normal expression restricted to human epididymis, to be highly induced in ET. Down-regulation of GPR64 in ET lines by RNA interference did not reduce their proliferative capacity in vitro as measured by plastic adherence dependent proliferation or contact independent growth in colony forming assays. Of interest inhibition of GPR64 expression in ET cell lines resulted in impaired endothelial differentiation in tube formation assays. Furthermore, GPR64 suppression substantially inhibited tumor growth and metastatic spread in immunodeficient Rag2-/-gammaC-/- mice. Microarray analysis of ET after GPR64 knock down revealed a GPR64-mediated induction of VEGF receptor 1 ligand placental growth factor (PGF) in ET. PGF itself was induced by EWS-FLI1 in mesenchymal stem cells. Repression of PGF expression in ET cell lines resulted in a similar phenotype as observed after GPR64 knockdown. GPR64 as well as PGF knock down correlated with a reduced proteolytic activity of Matrix Metalloproteinase MMP1 and invasiveness in vitro. MMP1 specific knock down resulted in the abrogation of metastasis of ET in Rag2-/-gammaC-/- mice. We conclude, that GPR64 and subsequent PGF up-regulation in ET orchestrate and promote endothelial invasiveness and metastatic spread and play a pivotal role in the pathogenesis and aggressiveness of this tumor.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE15757
PRC2 in Ewing tumors
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We found the PRC2 component EZH2 to be upregulated by the pathognomonic fusion oncogene EWS-FLI1 in Ewing tumors and mesenchymal stem cells (Richter GH et al., Proc Natl Acad Sci U S A. 2009;106:5324-9). Downregulation of EZH2 by RNA interference in Ewing tumor cell lines suppressed oncogenic transformation in vitro and in vivo. These data suggest that EZH2 might play a central role in Ewing Tumor pathology.

Publication Title

Epigenetic maintenance of stemness and malignancy in peripheral neuroectodermal tumors by EZH2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE98062
Gene expression in non-adherent MDA-MB-468 subpopulation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Plasticity between adhesive and less-adhesive states is important for mammalian cell behaviour. To investigate adhesion plasticity, we have selected a stable isogenic subpopulation of MDA-MB-468 breast carcinoma cells which grows in suspension. These suspension cells are unable to re-adhere to various matrices or to contract three-dimensional collagen lattices.

Publication Title

A dual phenotype of MDA-MB-468 cancer cells reveals mutual regulation of tensin3 and adhesion plasticity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26325
Gene expression profiles of Hodgkins lymphoma cell lines with different sensitivity to cytotoxic drugs
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of Hodgkin's lymphoma cell lines.

Publication Title

Gene expression profiles of Hodgkin's lymphoma cell lines with different sensitivity to cytotoxic drugs.

Sample Metadata Fields

Cell line

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accession-icon GSE107333
Endogenous retrovirus-associated genes in a hypoxia-mimetic cobalt chloride neuroblastoma model
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of SHSY5Y neuroblastoma cells after treatment with cobalt chloride

Publication Title

Investigation of Endogenous Retrovirus Sequences in the Neighborhood of Genes Up-regulated in a Neuroblastoma Model after Treatment with Hypoxia-Mimetic Cobalt Chloride.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE1824
Neuroblastoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression analysis of cell lines initially established as neuroblastoma cell lines. Cells were harvested and processed for DNA-microarray analysis using Affymetrix HG-U133A microarrays. Primary image analysis was performed using MAS 5.0 and data were scaled to an target intesity of 500.

Publication Title

DNA microarrays reveal relationship of Ewing family tumors to both endothelial and fetal neural crest-derived cells and define novel targets.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47686
Gene expression profiles of Hodgkins lymphoma cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

By using high-density DNA microarrays, we analyzed the gene-expression profile of Hodgkin's lymphoma cell lines.

Publication Title

Expression and Regulation of the Endogenous Retrovirus 3 in Hodgkin's Lymphoma Cells.

Sample Metadata Fields

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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