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accession-icon GSE23768
Diverse somatic mutation patterns and pathway alterations in human cancers
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The systematic characterization of somatic mutations in cancer genomes is essential for understanding the disease and for developing targeted therapeutics. Here we report the identification of 2,576 somatic mutations across approximately 1,800 megabases of DNA representing 1,507 coding genes from 441 tumours comprising breast, lung, ovarian and prostate cancer types and subtypes. Additionally, 373 tumors were assayed for copy number alterations via Agilent 244A CGH arrays and 153 breast, lung, and colon samples were assayed for mRNA abundance with Affymetrix HuEx1 Exon Arrays.

Publication Title

Diverse somatic mutation patterns and pathway alterations in human cancers.

Sample Metadata Fields

Specimen part

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accession-icon GSE22886
Expression profiles from a variety of resting and activated human immune cells
  • organism-icon Homo sapiens
  • sample-icon 224 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Immune cell-specific expression is one indication of the importance of a gene's role in the immune response.

Publication Title

Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data.

Sample Metadata Fields

Specimen part

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accession-icon GSE4271
Molecular subclasses of high-grade glioma: prognosis, disease progression, and neurogenesis
  • organism-icon Homo sapiens
  • sample-icon 200 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Novel prognostic subclasses of high-grade astrocytoma are identified and discovered to resemble stages in neurogenesis. One tumor class displaying neuronal lineage markers shows longer survival, while two tumor classes enriched for neural stem cell markers display equally short survival. Poor prognosis subclasses exhibit either markers of proliferation or of angiogenesis and mesenchyme. Analysis of gene expression data is described in Phillips et al., Cancer Cell, 2006.

Publication Title

Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis.

Sample Metadata Fields

Sex, Age, Disease stage

View Samples
accession-icon GSE16534
Exon array profiling detects EML4-ALK fusion in breast, colorectal and non-small cell lung cancers.
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Exon array profiling of human primary tumor tissue samples including breast, colon and NSCLC.

Publication Title

Exon array profiling detects EML4-ALK fusion in breast, colorectal, and non-small cell lung cancers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE8332
Death receptor O-glycosylation controls tumor-cell sensitivity to the proapoptotic ligand Apo2L/TRAIL
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Apo2L/TRAIL stimulates cancer-cell death through the proapoptotic receptors DR4 and DR5, but the determinants of tumor susceptibility to this ligand are not fully defined. mRNA expression of the peptidyl O-glycosyl transferase GALNT14 correlated with Apo2L/TRAIL sensitivity in pancreatic carcinoma, non-small cell lung carcinoma and melanoma cell lines (P < 0.00009; n=83), and up to 30% of samples from various human malignancies displayed GALNT14 overexpression. RNA interference of GALNT14 reduced cellular Apo2L/TRAIL sensitivity, whereas overexpression increased responsiveness. Biochemical analysis of DR5 identified several ectodomain O-GalNAc-Gal-Sialic acid structures. Sequence comparison predicted conserved extracellular DR4 and DR5 O-glycosylation sites; progressive mutation of the DR5 sites attenuated apoptosis signaling. O-glycosylation promoted ligand-stimulated clustering of DR4 and DR5, which mediated recruitment and activation of the apoptosis-initiating protease caspase-8. These results uncover a novel link between death receptor O-glycosylation and apoptosis signaling, providing potential predictive biomarkers for Apo2L/TRAIL-based cancer therapy.

Publication Title

Death-receptor O-glycosylation controls tumor-cell sensitivity to the proapoptotic ligand Apo2L/TRAIL.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE77955
Global gene expression and methylation analysis of development and progression of colorectal carcinoma
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated genomic analysis of colorectal cancer progression reveals activation of EGFR through demethylation of the EREG promoter.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE15329
Gene expression profiling of human non-Hodgkins lymphoma (NHL) cell lines
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We profiled 40 NHL cell lines to determine gene expression patterns and molecular subtypes.

Publication Title

Therapeutic potential of an anti-CD79b antibody-drug conjugate, anti-CD79b-vc-MMAE, for the treatment of non-Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE77953
Global gene expression analysis of development and progression of colorectal carcinoma
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Colorectal cancer (CRC) tumorigenesis proceedes through well defined clinical stages assoicated with charateristic mutations. To get a better understanding of CRC progression at the transcriptional level, we performed transcriptome profiling on samples from normal colonic tissues, pre-malignant adenomas, carcinomas and metatases.

Publication Title

Integrated genomic analysis of colorectal cancer progression reveals activation of EGFR through demethylation of the EREG promoter.

Sample Metadata Fields

Sex, Specimen part

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 GSE11103
Study of human immune and memory T cells using microarray
  • organism-icon Homo sapiens
  • sample-icon 39 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

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

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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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