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accession-icon GSE37168
Expression data from chronic lymphocytic leukemia (CLL) tumors in two time points
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As part of a large genetic evolution study we also acquired 3'UTR expression arrays at two time points for the same 18 patients with CLL.

Publication Title

Evolution and impact of subclonal mutations in chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

View Samples
accession-icon GSE17593
Melanoma short-term cultures and cell lines: expression profiling and CNV analyses
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analysis of the melanoma transcriptome.

Sample Metadata Fields

Disease, Disease stage

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accession-icon SRP000931
Melanoma Cell Transcriptome
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Paired end sequencing of cDNA isolated from individual melanoma samples via the Illumina sequencing platform to identify genetic aberrations that may play a role in melanoma genesis.

Publication Title

Integrative analysis of the melanoma transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17349
Expression data for melanoma short-term cultures and cell lines
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We profiled the gene expression levels from 8 melanoma short-term cultures and 1 melanoma cell line in order to compare to expression level estimates obtained by RNA-seq.

Publication Title

Integrative analysis of the melanoma transcriptome.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon SRP169553
A genetic murine model of CLL based on B cell-restricted expression of Sf3b1 mutation and Atm deletion
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The RNA splicing factor SF3B1 is recurrently mutated in chronic lymphocytic leukemia (CLL), but its functional role in the pathogenesis of this disease has not been firmly established. Here, we show that conditional expression of heterozygous Sf3b1-K700E mutation in mouse B lineage cells disrupts pre-mRNA splicing, alters B-cell development and function, and induces a state of cellular senescence. B-cell restricted expression of this mutation combined with Atm deletion led to the overcoming of cellular senescence, together with enhanced genome instability and the development of clonal B220+CD5+ CLL cells in elderly mice at low penetrance. Mice with CLL-like disease were found to have amplifications of chromosomes 15 and 17. Integrated transcriptome and proteome analysis of the CLL-like cells revealed coordinated dysregulation of multiple CLL-associated cellular processes. This included an unexpected signature of deregulated B-cell receptor (BCR) signaling, which we could also identify in SF3B1-mutated CLL samples from two independent patient cohorts. Notably, human CLLs harboring SF3B1 mutations exhibited greater sensitivity and altered response kinetics to BTK kinase ibrutinib. Our genetically faithful murine model of CLL thus reveals fresh insights regarding the impact of SF3B1 mutation on CLL pathogenesis and suggests a system for identifying vulnerabilities related to this mutation that can be further exploited for the treatment of CLLs with this common mutation. Overall design: RNA-seq of B cells from WT, Sf3b1 MT, Atm MT, DM and DM-CLL mice

Publication Title

A Murine Model of Chronic Lymphocytic Leukemia Based on B Cell-Restricted Expression of Sf3b1 Mutation and Atm Deletion.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE42363
Exome and whole genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The incidence of esophageal adenocarcinoma (EAC) has risen 600% over the last 30 years. With an extremely poor five-year survival rate of only 15%, identification of new therapeutic targets for EAC is of great importance. Here, we analyze the mutation spectra from the whole exome sequencing of 149 EAC tumors/normal pairs, 15 of which have also been subjected to whole genome sequencing. We identify a novel mutational signature in EACs defined by a high prevalence of A to C transversions at Ap*A dinucleotides. Statistical analysis of the exome data identified 26 genes that are mutated at a significant frequency. Of these 26 genes, only four (TP53, CDKN2A, SMAD4, and PIK3CA) have been previously implicated in EAC. The novel significantly mutated genes include several chromatin modifying factors and candidate contributors to EAC: SPG20, TLR4, ELMO1, and DOCK2. Notably, functional analyses of EAC-derived mutations in ELMO1 increase cellular invasion. Therefore, we suggest a new hypothesis about the potential activation of the RAC1 pathway to be a contributor to EAC tumorigenesis.

Publication Title

Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage, Race

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accession-icon GSE64392
Prospective derivation of a 'Living Organoid Biobank' of colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

In Rspondin-based 3D cultures, Lgr5 stem cells from multiple organs form ever-expanding epithelial organoids that retain their tissue identity. We report the establishment of tumor organoid cultures from 20 consecutive colorectal (CRC) patients. For most, organoids were also generated from adjacent normal tissue. The organoids closely resemble the original tumor. The spectrum of genetic changes observed within the 'living biobank' agrees well with previous large-scale mutational analyses of CRC. Gene expression analysis indicates that the major CRC molecular subtypes are represented. Tumor organoids are amenable to robotized, high-throughput drug screens allowing detection of gene-drug associations. As an example, a single organoid culture was exquisitely sensitive to Wnt secretion (porcupine) inhibitors and carried a mutation in the negative Wnt feedback regulator RNF43 (rather than in APC). Organoid technology may fill the gap between cancer genetics and patient trials, complement cell line- and xenograft-based drug studies and allow personalized therapy design.

Publication Title

Prospective derivation of a living organoid biobank of colorectal cancer patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE21124
Subtype-specific genomic alterations define new targets for soft tissue sarcoma therapy
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE21122
Whole-transcript expression data for soft-tissue sarcoma tumors and control normal fat specimens
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Soft tissue sarcomas are aggressive mesenchymal cancers that affect more than 10,600 new patients per year in the US, about 40% of whom will die of their disease. Soft tissue sarcomas exhibit remarkable histologic diversity, with more than 50 recognized subtypes, but our knowledge of their genomic alterations is limited. Here we describe the results of an integrative analysis of DNA sequence, copy number, and mRNA expression in 207 samples encompassing seven major subtypes. Genes mutated in more than 5% of samples within a subtype were KIT (in gastrointestinal stromal cell tumors, or GISTs), TP53 (pleomorphic liposarcomas), PIK3CA (myxoid/round-cell liposarcoma), and NF1 (both myxofibrosarcoma and pleomorphic liposarcoma). We show evidence that PIK3CA mutations, found in 18% of myxoid/round-cell liposarcomas, activate AKT in vivo and are associated with poor outcomes. Point mutations in the tumor suppressor gene NF1 were discovered in both myxofibrosarcomas and pleomorphic liposarcomas, while genomic deletions were observed in all subtypes at varying frequencies. Finally, we found that short hairpin RNA-based knockdown of a subset of genes that are amplified in dedifferentiated liposarcoma, including CDK4 and YEATS4, decreased cell proliferation. Our study yields the most detailed map of molecular alterations across diverse sarcoma subtypes to date and provides potential subtype-specific targets for therapy.

Publication Title

Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE26863
MMRC expression and aCGH reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 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

Initial genome sequencing and analysis of multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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.

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