refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 89 results
Sort by

Filters

Technology

Platform

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

View Samples
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

View Samples
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

View Samples
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

View Samples
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 GSE29624
Expression data from human peripheral blood lymphocytes stimulated with anti-CD3 and anti-CD28 antibodies.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Peripheral blood lymphocytes were separated in the Ficoll gradient and subjected for stimulation with anti-CD3 and anti-CD28 antiobodies upon time (6h, 12h and 18h). Next, total RNA was isolated and trenscriptional analysis of stimulated cells was performed.

Publication Title

Loss-of-function mutations in the IL-21 receptor gene cause a primary immunodeficiency syndrome.

Sample Metadata Fields

Time

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

View Samples
accession-icon GSE13155
Comparison of mouse placental labyrinth and human villus tree
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies.

Publication Title

Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact