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accession-icon GSE13604
8 hours BMP6 treated vs untreated human mesenchymal stem cells (hMSC)
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have established that BMP6 is an important endogenous regulator of human osteoblast differentiation. Our preliminary experiment showed that 8 hour BMP6 treatment induced early osteoblast markers in hMSC.

Publication Title

GAGE: generally applicable gene set enrichment for pathway analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8828
Isolation and molecular characterization of cancer stem cells in MMTVWnt-1 murine breast tumors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In human breast cancers, a phenotypically distinct minority population of tumorigenic cancer (TG) cells (sometimes referred to as cancer stem cells) drives tumor growth when transplanted into immunodeficient mice. Our objective was to identify a mouse model of breast cancer stem cells that could have relevance to studying human breast cancer. To do so, we utilized breast tumors of the MMTVWnt-1 mice. MMTV-Wnt-1 breast tumors were harvested, dissociated into single cell suspensions, and FACS sorted on Thy1, CD24, and CD45. FACS sorted cells were then injected into recipient background FBV/NJ female mice. Thy1+CD24+ cancer cells, which constitute approximately 1-4% of tumor cells were highly enriched for cells capable of regenerating new tumors when compared to cells of the tumor that did not fit this profile (Not Thy1+CD24+). Resultant tumors were of the same phenotypic diversity as the original tumor and behaved in a similar manner when passaged. Microarray analysis comparing Thy1+CD24+ tumor cells to Not Thy1+CD24+ cells identified a list of differentially expressed genes. Orthologs of these differentially expressed genes predicted survival of human breast cancer patients from two different study groups. These studies suggest that there is a cancer stem cell compartment in the MMTV-Wnt-1 murine breast tumor and that there is a clinical utility of this model for the study of cancer stem cells.

Publication Title

Isolation and molecular characterization of cancer stem cells in MMTV-Wnt-1 murine breast tumors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9250
Genomic profiling in CLL and subtypes of del13q14
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Chronic lymphocytic leukemia (CLL) is a biologically heterogeneous illness with a variable clinical course. Loss of chromosomal material on chromosome 13 at cytoband 13q14 is the most frequent genetic abnormality in CLL, but the molecular aberrations underlying del13q14 in CLL remain incompletely characterized. We analyzed 171 CLL cases for LOH and sub-chromosomal copy loss on chromosome 13 in DNA from FACS-sorted CD19+ cells and paired buccal cells using the Affymetrix XbaI 50K SNP-array platform. The resulting high-resolution genomic maps, together with array-based measurements of expression levels of RNA in CLL cases with and without del13q14 and Q-PCR-based expression analysis of selected genes support the following conclusions: i) del13q14 is heterogeneous and composed of multiple subtypes with deletion of Rb or the miR15a/16 loci serving as anatomic landmarks, respectively ii) del13q14 type Ia deletions are relatively uniform in length and extend from breakpoints close to the miR15a/16 cluster to a newly identified telomeric breakpoint cluster at ~50.2-50.5 Mb physical position iii) LATS2 RNA levels are ~2.6-2.8-fold lower in cases with del13q14 type I that do not delete Rb as opposed to all other CLL cases and iv) ~15% of CLL cases display marked reductions in miR15a/16 expression often but not invariably associated with bi-allelic miR15a/16 loss. This data should aid future investigations into biological differences imparted on CLL by different del13q14 subtypes including investigations into LATS2 as one of the genes found deregulated as part of del13q14.

Publication Title

Integrated genomic profiling of chronic lymphocytic leukemia identifies subtypes of deletion 13q14.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6883
The prognostic role of a gene signature from tumorigenic breast-cancer cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Breast cancers contain a minority population of cancer cells characterized by CD44 expression but low or undetectable levels of CD24 (CD44+CD24-/low) that have higher tumorigenic capacity than other subtypes of cancer cells. METHODS: We compared the gene-expression profile of CD44+CD24-/low tumorigenic breast-cancer cells with that of normal breast epithelium. Differentially expressed genes were used to generate a 186-gene invasiveness gene signature (IGS), which was evaluated for its association with overall survival and metastasis-free survival in patients with breast cancer or other types of cancer. RESULTS: There was a significant association between the IGS and both overall and metastasis-free survival (P<0.001, for both) in patients with breast cancer, which was independent of established clinical and pathological variables. When combined with the prognostic criteria of the National Institutes of Health, the IGS was used to stratify patients with high-risk early breast cancer into prognostic categories (good or poor); among patients with a good prognosis, the 10-year rate of metastasis-free survival was 81%, and among those with a poor prognosis, it was 57%. The IGS was also associated with the prognosis in medulloblastoma (P=0.004), lung cancer (P=0.03), and prostate cancer (P=0.01). The prognostic power of the IGS was increased when combined with the wound-response (WR) signature. CONCLUSIONS: The IGS is strongly associated with metastasis-free survival and overall survival for four different types of tumors. This genetic signature of tumorigenic breast-cancer cells was even more strongly associated with clinical outcomes when combined with the WR signature in breast cancer.

Publication Title

The prognostic role of a gene signature from tumorigenic breast-cancer cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26526
A Pathobiological Role of the Insulin Receptor in CLL.
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: The chromosomal deletion 11q affects biology and clinical outcome in CLL but del11q-deregulated genes remain incompletely characterized.

Publication Title

A pathobiological role of the insulin receptor in chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE27155
Human thyroid adenomas, carcinomas, and normals
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human samples of various thyroid carcinomas, adenomas, and normals, each from a different patient, had mRNA assays performed using Affymetrix HG_U133A arrays, with 22283 probe-sets. The 99 samples consisted of 4 normals, 10 follicular adenomas, 13 follicular carcinomas, 7 oncocytic adenomas, 8 oncocytic carcinomas, 51 papillary carcinomas (each typed as having classical, follicular or tall cell morphology), 4 anaplastic carcinomas, and 2 medullary carcinomas. Interesting additional information on common mutations are provided including RAS mutation, BRAF mutation, RET/PTC rearrangements, and PAX8/PPARG translocations. Details of those assays are provided in our linked publications, as well as additional details on the specific mutations in a few special cases. No survival data is provided. Information for 93 of the 99 samples was previously made available on the web. The anaplastic and medullary carcinoma data were not previously shared. A supplementary Excel spreadsheet holding the same processed data as the series matrix file is provided and is more compact. The raw (.CEL) files are also provided.

Publication Title

Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis.

Sample Metadata Fields

Specimen part

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accession-icon GSE69438
Tissue Transcriptome Driven Identification of Epidermal Growth Factor as a Chronic Kidney Disease Biomarker
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We identified EGF as the top candidates predicting kidney function through an intrarenal transcriptome-driven approach, and demonstrated it is an independent risk predictor of CKD progression and can significantly improve prediction of renal outcome by established clinical parameters in diverse populations with CKD from a wide spectrum of causes and stages

Publication Title

Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker.

Sample Metadata Fields

Specimen part

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accession-icon GSE68465
caArray_jacob-00182: Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study
  • organism-icon Homo sapiens
  • sample-icon 222 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Here we report a large, training*testing, multi-site, blinded validation study to characterize the performance of several prognostic models based on gene expression for 442 lung adenocarcinomas. The hypotheses proposed examined whether microarray measurements of gene expression either alone or combined with basic clinical covariates (stage, age, sex) could be used to predict overall survival in lung cancer subjects. Several models examined produced risk scores that substantially correlated with actual subject outcome. Most methods performed better with clinical data, supporting the combined use of clinical and molecular information when building prognostic models for early-stage lung cancer. This study also provides the largest available set of microarray data with extensive pathological and clinical annotation for lung adenocarcinomas.

Publication Title

Gene expression-based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Race

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accession-icon GSE53808
White Matter transcriptome in chronic alcoholism
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Chronic alcohol consumption can lead to alchohol-related brain damage (ARBD). Despite the well known acute effects of alcohol the mechanism responsible for chronic brain damage is largely unknown. Pathologically the major change is the loss of white matter while neuronal loss is mild and restricted to a few areas such as the prefrontal cortex. In order to improve our understanding of ARBD pathogenesis we used microarrays to explore the white matter transcriptome of alcoholics and controls.

Publication Title

Comorbidities, confounders, and the white matter transcriptome in chronic alcoholism.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE19603
Expression data from Arabipdosis msh1 recA3 double mutant under heat stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In Arabidposis thaliana, the msh1 recA3 double mutant shows an extensive mitochondrial genome rearrangement and displays pronounced thermotolerance.

Publication Title

Extensive rearrangement of the Arabidopsis mitochondrial genome elicits cellular conditions for thermotolerance.

Sample Metadata Fields

Specimen part

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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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