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accession-icon GSE75588
Transcriptomic analysis of Human Umbilical Vein Endothelial Cells (HUVEC) in response to compound treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Human Umbilical Vein Endothelial Cells were treated with three newly synthesized compounds and DMSO as vehicle. Total RNA was isolated 6 and 24h after treatment and gene expression analysis was performed. Three independent experiments were performed, corresponding to rep1, rep2 and rep3. Experiment 1 (rep1) contained all substances at both time points tested. Experiment 2 (rep2) contained two of the compounds and control DMSO at both time points. Experiment 3 (rep3) contained the third compound and control DMSO at both time points.

Publication Title

Novel pyrazolopyridine derivatives as potential angiogenesis inhibitors: Synthesis, biological evaluation and transcriptome-based mechanistic analysis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE4536
Tumor stem cells more closely mirror the phenotype and genotype of primary human tumors than do cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The concept of tumor stem cells (TSCs) provides a new paradigm for understanding tumor biology, although it remains unclear whether TSCs will prove to be a more robust model than traditional cancer cell lines. We demonstrate marked phenotypic and genotypic differences between primary human tumor-derived TSCs and their matched glioma cell lines. TSCs derived directly from primary glioblastomas harbor extensive similarities to normal NSC and recapitulate the genotype, gene expression patterns and in vivo biology of human glioblastomas. By contrast, the matched, traditionally grown tumor cell lines do not secondary to in vitro genomic alterations. These findings suggest that TSCs may be a more reliable model than many commonly utilized cancer cell lines for understanding the biology of primary human tumors. Analysis of gene expression data is described in Lee et al., Cancer Cell, 2006.

Publication Title

Tumor stem cells derived from glioblastomas cultured in bFGF and EGF more closely mirror the phenotype and genotype of primary tumors than do serum-cultured cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53717
Identification of Molecular Pathways Facilitating Glioma Cell Invasion In Situ
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gliomas are mostly incurable secondary to their diffuse infiltrative nature. Thus, specific therapeutic targeting of invasive glioma cells is an attractive concept. As cells exit the tumor mass and infiltrate brain parenchyma, they closely interact with a changing micro-environmental landscape that sustains tumor cell invasion.

Publication Title

Identification of molecular pathways facilitating glioma cell invasion in situ.

Sample Metadata Fields

Specimen part

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accession-icon GSE68848
caArray_fine-00037: Rembrandt_GeneExpression
  • organism-icon Homo sapiens
  • sample-icon 577 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This is Rembrandt gene expression data (Affymetrix HG-U133Plus2).

Publication Title

Rembrandt: helping personalized medicine become a reality through integrative translational research.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE21327
Effect of Growth hormone on podocytes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of growth hormone dependant genes in glomerular podocytes

Publication Title

Growth hormone (GH)-dependent expression of a natural antisense transcript induces zinc finger E-box-binding homeobox 2 (ZEB2) in the glomerular podocyte: a novel action of gh with implications for the pathogenesis of diabetic nephropathy.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE1294
Expression profile of genes in normal and Down syndrome mouse brains
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74B Version 2 Array (mgu74bv2), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Analyses of six Ts1Cje (Down syndrome) and six normal littermate (2N) mouse brains at postnatal day 0.

Publication Title

Dosage-dependent over-expression of genes in the trisomic region of Ts1Cje mouse model for Down syndrome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1281
Expression profile of genes in normal and Down syndrome mouse brains MGU74A
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Analyses of six Ts1Cje (Down syndrome) and six normal littermate (2N) mouse brains at postnatal day 0.

Publication Title

Dosage-dependent over-expression of genes in the trisomic region of Ts1Cje mouse model for Down syndrome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1282
Expression profile of genes in normal and Down syndrome mouse brains MGU74B
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74B Version 2 Array (mgu74bv2), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Analyses of six Ts1Cje (Down syndrome) and six normal littermate (2N) mouse brains at postnatal day 0.

Publication Title

Dosage-dependent over-expression of genes in the trisomic region of Ts1Cje mouse model for Down syndrome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP056237
Analysis of bone marrow derived mast cell transcriptomes in presence or absence of SialostatinL
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Goal of this study was to compare transcriptional changes in stimulated mast cells in the absence or presence of sialostatinL Overall design: mRNA profiles of 4 weeks old mast cells (BMMC derived from C57BL/6 mice ) stimulated for 24h with ionomycin in absence or presence of tick derived sialostatinL were generated by deep sequencing using Illumina HiSeq2000

Publication Title

Tick Salivary Sialostatin L Represses the Initiation of Immune Responses by Targeting IRF4-Dependent Transcription in Murine Mast Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE23884
An Integrated Approach to Uncover Drivers of Cancer
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We developed a computational framework that integrates chromosomal copy number and gene expression data for detecting aberrations that promote cancer progression. We demonstrate the utility of this framework using a melanoma dataset. Our analysis correctly identified known drivers of melanoma and predicted multiple novel tumor dependencies. Two dependencies, TBC1D16 and RAB27A, confirmed empirically, suggest that abnormal regulation of protein trafficking contributes to proliferation in melanoma. Together, these results demonstrate the ability of integrative Bayesian approaches to identify novel candidate drivers with biological, and possibly therapeutic, importance in cancer.

Publication Title

An integrated approach to uncover drivers of cancer.

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)

fund-icon Fund the CCDL

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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