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accession-icon SRP106321
mRNA-seq data from murine colon adenomas and non-adenoma tissues
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report that colon adenomas from ApcMin/+ mice not only exhibit similarities in gene expression profile to colon adenomas from azoxymethane / dextran sulfate sodium-treated mice (with activating Ctnnb1 mutations) due to the activation of canonical WNT signaling, but also unique transcriptional changes in the pathways regulating cell cycle progression / proliferation, chromosome segregation / cytoskeletal organization and apoptosis. Subsequent experiments characterized changes in gene expression unique to colon adenomas from ApcMin/+ mice including increases in the H2afv, Map6 and Nsmf transcripts. Overall design: Examination of gene expression profiles in 2 different colon adenoma types with activated canonical WNT signaling, relative to their respective non-adenoma controls

Publication Title

Mutational Mechanisms That Activate Wnt Signaling and Predict Outcomes in Colorectal Cancer Patients.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP108070
Gene expression data from the HCT-116 colon cancer cell line in the presence or absence of siRNA targeting APC
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Gene expression data were collected by RNA-seq from HCT-116 cells in the presence or absence of siRNA targeting APC and 1,376 transcripts changed in expression following APC silencing were identified relative to scrambled siRNA-transfected and untreated controls. Overall design: Examination of gene expression under 3 different transfection conditions

Publication Title

Chromatin-associated APC regulates gene expression in collaboration with canonical WNT signaling and AP-1.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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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 GSE50675
Global transcriptome analysis of Staphylococcus aureus biofilms in response to innate immune cells
  • organism-icon Staphylococcus aureus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

S. aureus biofilms are associated with the organism's ability to cause disease. Biofilm associated bacteria must cope with the host's innate immune system.

Publication Title

Global transcriptome analysis of Staphylococcus aureus biofilms in response to innate immune cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE99388
Bone healing in an aged murine fracture model is characterized by sustained callus inflammation and decreased cell proliferation
  • organism-icon Mus musculus
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated genes during this process.

Publication Title

Bone healing in an aged murine fracture model is characterized by sustained callus inflammation and decreased cell proliferation.

Sample Metadata Fields

Specimen part

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accession-icon GSE4611
Breast Cancer Gene Expression Data from Frankfurt Series
  • organism-icon Homo sapiens
  • sample-icon 218 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Pooling of microarray datasets seems to be a reasonable approach to increase sample size when a heterogeneous disease like breast cancer is concerned. Different methods for the adaption of datasets have been used in the literature. We have analyzed influences of these strategies using a pool of 3,030 Affymetrix U133A microarrays from breast cancer samples. We present data on the resulting concordance with biochemical assays of well known parameters and highlight critical pitfalls. We further propose a method for the inference of cutoff values directly from the data without prior knowledge of the true result. The cutoffs derived by this method displayed high specificity and sensitivity. Markers with a bimodal distribution like ER, PgR, and HER2 discriminate different biological subtypes of disease with distinct clinical courses. In contrast, markers displaying a continuous distribution like proliferation markers as Ki67 rather describe the composition of the mixture of cells in the tumor.

Publication Title

Data-driven derivation of cutoffs from a pool of 3,030 Affymetrix arrays to stratify distinct clinical types of breast cancer.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP186159
Effect of DKK1 on embryo elongation
  • organism-icon Bos taurus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We report the effect of DKK1 treatment during culture on the length and transcriptome of embryos on day 15 of development, supporting the notion that changes early in development affect later stages of development. Overall design: Bovine embryos were produced in vitro and exposed to either 0 or 100 ng/ml DKK1 from day 5 to 7 of culture. Embryos were transferred on day 7 and recovered on day 15 for evaluation of length and transciptome

Publication Title

Dickkopf-related protein 1 is a progestomedin acting on the bovine embryo during the morula-to-blastocyst transition to program trophoblast elongation.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE21266
Effect of Ursodeoxycholic acid on gene expression in the intestial epithelium
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Background & Aims: Ursodeoxycholic acid (UDCA) attenuates chemical and colitis-induced colon carcinogenesis in animal models. We investigated its mechanism of action on normal intestinal cells, in which carcinogenesis- or inflammation-related alterations do not interfere with the result. Methods: Alterations of gene expression were identified in Affymetrix arrays in isolated colon epithelium of mice fed with a diet containing 0.4% UDCA and were confirmed in the normal rat intestinal cell line IEC-6 by RT-PCR. The effect of the insulin receptor substrate 1 (Irs-1) expression and of ERK phosphorylation on proliferation was investigated in vitro by flow cytometry, western blotting, siRNA-mediated gene suppression or by pharmacological inhibition of the kinase activity. The ERK1-effect on Irs-1 transcription was tested in a reporter system. Results: UDCA-treatment in vivo suppressed potential pro-proliferatory genes including Irs-1 and reduced cell proliferation by more than 30%. In vitro it neutralised the proliferatory signals of IGF-1 and EGF and slowed down the cell cycle. Irs-1 transcription was suppressed due to high ERK1 activation. Both Irs-1 suppression and the persistent high ERK activation inhibited proliferation. Conversely, the decrease of phosphorylation of ERK1 (but not ERK2) or of its expression partially abrogated the inhibitory effects of UDCA. Conclusions: UDCA inhibits proliferation of intestinal epithelial cells by acting upon IGF-1 and EGF pathways and targeting ERK1 and, consequently, Irs-1. The inhibition of these pathways adds a new dimension to the physiological and therapeutic action of UDCA and, since both pathways are activated in inflammation and cancer, suggests new applications of UDCA in chemoprevention and chemotherapy.

Publication Title

UDCA slows down intestinal cell proliferation by inducing high and sustained ERK phosphorylation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE31519
A Clinically Relevant Gene Signature in Triple-Negative and Basal-Like Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Current prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple-negative breast cancers (TNBCs) are clinically heterogeneous, and prognostic markers and biology-based therapies are needed to better treat this disease.

Publication Title

A clinically relevant gene signature in triple negative and basal-like breast cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE50385
Expression data from human ependymoma
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compared molecular characteristics of primary and recurrent pediatric ependymoma to identify sub-group specific differences.

Publication Title

Molecular sub-group-specific immunophenotypic changes are associated with outcome in recurrent posterior fossa ependymoma.

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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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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