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accession-icon GSE33350
Comparison of metastatic derivatives of colon cancer cell line selected in vivo
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Using a human colorectal cancer cell line we incremented its metastatic capacity in a mouse model of liver and lung metastasis. Afterwards, a comparison between the different metastatic derivatives is done.

Publication Title

Colon cancer cells colonize the lung from established liver metastases through p38 MAPK signalling and PTHLH.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE8049
Expression analyses of glioblastoma derived neurosphere cultures
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recent studies demonstrated that tumor cells with stem cell-like properties can be cultured from human glioblastomas by using conditions that select for the expansion of neural stem cells. We established glioblastoma stem-like (GS-) cell cultures from 9 different glioblastomas, 8 of which generated stably expandable cell lines. Analyzing GS-cell cultures, we discovered two clearly discernable phenotypes.

Publication Title

Glioblastoma-derived stem cell-enriched cultures form distinct subgroups according to molecular and phenotypic criteria.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23806
Expression data of glioblastoma stem-like (GS) cell lines, conventional glioma cell lines and primary tumors
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compared a large panel of human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines to identify cell lines that preserve the transcriptome of human glioblastomas most closely, thereby allowing identification of shared therapeutic targets.

Publication Title

A distinct subset of glioma cell lines with stem cell-like properties reflects the transcriptional phenotype of glioblastomas and overexpresses CXCR4 as therapeutic target.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE62414
A dysregulated Acetyl/SUMO switch of FXR promotes hepatic inflammation in obesity
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Acetylation of transcriptional regulators is normally dynamically regulated by nutrient status but is often persistently elevated in nutrient-excessive obesity conditions. We investigated the functional consequences of such aberrantly elevated acetylation of the nuclear receptor FXR as a model. Proteomic studies identified K217 as the FXR acetylation site in diet-induced obese mice. In vivo studies utilizing acetylation-mimic and -defective K217 mutants and gene expression profiling revealed that FXR acetylation increased proinflammatory gene expression, macrophage infiltration, and liver cytokine and triglyceride levels, impaired insulin signaling, and increased glucose intolerance. Mechanistically, acetylation of FXR blocked its interaction with the SUMO ligase PIASy and inhibited SUMO2 modification at K277, resulting in activation of inflammatory genes. SUMOylation of agonist-activated FXR increased its interaction with NF-B but blocked that with RXR, so that SUMO2-modified FXR was selectively recruited to and trans-repressed inflammatory genes without affecting FXR/RXR target genes. A dysregulated Acetyl/SUMO switch of FXR in obesity may serve as a general mechanism for diminished anti-inflammatory response of other transcriptional regulators and provide potential therapeutic and diagnostic targets for obesity-related metabolic disorders.

Publication Title

A dysregulated acetyl/SUMO switch of FXR promotes hepatic inflammation in obesity.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE26886
Gene expression profiling of Barrett's esophagus, adenocarcinoma, esophageal squamous epithelium and squamous cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study is to generate and validate biomarkers to stratify patients with Barretts esophagus in terms of risk for developing cancer. We studied gene expression profiling in 69 frozen specimens, consisting of esophageal squamous epithelium from 19 healthy subjects, 20 specimens from patients with Barretts esophagus and 21 cases of esophageal adenocarcinoma, 9 cased of esophageal squamous cell carcinoma by whole genome microarray analysis. Laser capture microdissection technique was applied to procure cells from defined regions of Barretts esophagus metaplasia and esophageal adenocarcinoma. Microarray results were validated by quantitative real-time polymerase chain reaction (qRT-PCR) in an independent cohort consisting of 42 cases. Furthermore, immunohistochemistry was performed using antibodies to two selected target molecules on a third independent cohort of 36 specimens, consisting of 36 cases. A total of 1176 genes were associated significantly with esophageal adenocarcinoma. The expression pattern of a 4 gene signature with the highest discriminant score based on linear discriminant analysis (GeneSpring GX10.2), was identified and validated by qRT-PCR in independent cohort.

Publication Title

Wdr66 is a novel marker for risk stratification and involved in epithelial-mesenchymal transition of esophageal squamous cell carcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE21942
Expression data from peripheral blood mononuclear cells in multiple sclerosis patients and controls
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple sclerosis (MS) is a neurodegenerative disease with a presumed autoimmune component. Expression profiling in immune cells can therefore be used in order to identify genes and pathways involved in MS pathogenesis.

Publication Title

Systematic review of genome-wide expression studies in multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE6516
Silverleaf whitefly 2nd instar feeding on 7-week old Arabidopsis thaliana rosette leaves
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Phloem-feeding pests cause extensive crop damage throughout the world yet little is understood about how plants perceive and defend themselves from these threats. The silverleaf whitefly (SLWF; Bemisia tabaci type B) is a good model for studying phloem-feeding insect-plant interactions as SLWF nymphs cause little wounding and have a long, continuous interaction with the plant. Using the Arabidopsis ATH1 GeneChip, the global responses to Silverleaf Whitefly 2nd instar feeding were examined.

Publication Title

Arabidopsis transcriptome changes in response to phloem-feeding silverleaf whitefly nymphs. Similarities and distinctions in responses to aphids.

Sample Metadata Fields

Age

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accession-icon GSE22377
mRNA expression data from human adenocarcinomas of the stomach
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gastric cancer can be divided in two major histological subtypes: diffuse and intestinal-type adenocarcinomas. Since both types diverge in many clinical and molecular characteristics, is widely accepted that both represent distinct disease entities that may benefit from different therapeutic approaches. The diffuse type is explicitly more invasive and affected patients possess extremely poor prognosis. Gene expression profiling studies identified numerous genes with differences in mRNA expression between the two types. However, little overlap of published gene lists exists forcing the need for further and more comprehensive analyses.

Publication Title

THBS4, a novel stromal molecule of diffuse-type gastric adenocarcinomas, identified by transcriptome-wide expression profiling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49129
Otitis Media Impact on Ear
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Otitis media impacts hundreds of mouse middle and inner ear genes.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE49128
Otitis Media Impact on Middle Ear
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Objective: Otitis media is known to alter expression of cytokine and other genes in the mouse middle ear and inner ear. However, whole mouse genome studies of gene expression in otitis media have not previously been undertaken. Ninety-nine percent of mouse genes are shared in the human, so these studies are relevant to the human condition.

Publication Title

Otitis media impacts hundreds of mouse middle and inner ear genes.

Sample Metadata Fields

Age, Specimen part, Treatment

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)

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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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