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accession-icon GSE65623
Comparative gene expression analysis of Nrf2 activators, CDDO-Im, CDDO-Me and dimethyl fumarate (DMF) in VC1 lung cancer cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Nrf2 is an important therapeutic target as activation of this pathway detoxifies harmful insults and reduces oxidative stress. However, the role of Nrf2 in cancer biology is controversial. Protection against oxidative stress and inflammation can confer a survival advantage to tumor cells, leading to a poor prognosis, and constitutive activation of Nrf2 has been detected in numerous tumors. In our study, we examined the role of two clinically relevant classes of Nrf2 activators, the synthetic triterpenoids (CDDO-Im and CDDO-Me) and dimethyl fumarate (DMF) in lung cancer.

Publication Title

Dimethyl fumarate and the oleanane triterpenoids, CDDO-imidazolide and CDDO-methyl ester, both activate the Nrf2 pathway but have opposite effects in the A/J model of lung carcinogenesis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE35366
Global developmental gene expression and pathway analysis of normal brain development and mouse models of human neuronal migration defects
  • organism-icon Mus musculus
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Proper cortical development relies on the balance of neuronal migration and proliferation. We investigated the gene expression differences of mouse knock-outs for Lissencephaly in humans.

Publication Title

Global developmental gene expression and pathway analysis of normal brain development and mouse models of human neuronal migration defects.

Sample Metadata Fields

Specimen part

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accession-icon GSE12079
Molecular profiling of CD3- CD4+ T-cells from patients with the lymphocytic variant of hypereosinophilic syndrome
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The clonal CD3- CD4+ Th2 cell population characterizing some hypereosinophilic syndrome patients stably endures for years provoking a chronic inflammatory skin disease, with a subgroup of patients ultimately progressing to T-cell lymphoma. The aim of this study is the identification of the molecular changes (1) associated with the persistence of the pre-malignant clone (2) associated with the activation of co-stimulatory receptors and (3) associated with the emergence of malignant T-cell subclones.

Publication Title

Molecular profiling of CD3-CD4+ T cells from patients with the lymphocytic variant of hypereosinophilic syndrome reveals targeting of growth control pathways.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Time

View Samples
accession-icon GSE11287
Keap1-dependent gene expression determined in the liver using conditional Keap1 knockout mice vs. genetic control mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To compare hepatic gene expression in conditional Keap1 knockout (Alb-Cre:Keap1(flox/-)) and genetic control mice. Disruption of Keap1-mediated repression of Nrf2 signaling was expected to result in increased expression of Nrf2-regulated genes.

Publication Title

Genetic or pharmacologic amplification of nrf2 signaling inhibits acute inflammatory liver injury in mice.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18920
Sporadic ALS has compartment-specific aberrant exon splicing and altered cell-matrix adhesion biology
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by progressive weakness from loss of motor neurons. The fundamental pathogenic mechanisms are unknown and recent evidence is implicating a significant role for abnormal exon splicing and RNA processing. Using new comprehensive genomic technologies, we studied exon splicing directly in 12 sporadic ALS and 10 control lumbar spinal cords acquired by a rapid autopsy system that processed nervous systems specifically for genomic studies. ALS patients had rostral onset and caudally advancing disease and abundant residual motor neurons in this region. We created two RNA pools, one from motor neurons collected by laser capture microdissection and one from the surrounding anterior horns. From each, we isolated RNA, amplified mRNA, profiled whole-genome exon splicing, and applied advanced bioinformatics. We employed rigorous quality control measures at all steps and validated findings by qPCR. In the motor neuron enriched mRNA pool, we found two distinct cohorts of mRNA signals, most of which were up-regulated: 148 differentially expressed genes (p103) and 411 aberrantly spliced genes (p105). The aberrantly spliced genes were highly enriched in cell adhesion (p1057), especially cell-matrix as opposed to cell-cell adhesion. Most of the enriching genes encode transmembrane or secreted as opposed to nuclear or cytoplasmic proteins. The differentially expressed genes were not biologically enriched. In the anterior horn enriched mRNA pool, we could not clearly identify mRNA signals or biological enrichment. These findings, perturbed and up-regulated cell-matrix adhesion, suggest possible mechanisms for the contiguously progressive nature of motor neuron degeneration.

Publication Title

Sporadic ALS has compartment-specific aberrant exon splicing and altered cell-matrix adhesion biology.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE36769
CD4+ TIL in human breast cancer
  • organism-icon Homo sapiens
  • sample-icon 58 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

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36765
Gene expression profiling of CD4+ T cells infiltrating human breast cancer (Discovery Set)
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE36766
Effect of human breast tumor supernatant on normal CD4+ T cells (Confirmation Set SN)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36767
Gene changes of CD4+ T cells infiltrating human breast cancer in the absence of tumor environment (Confirmation Set 24h)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36768
Effect of human breast tumor supernatant on normal CD4+ T cells (Preliminary Experiment)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, 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)

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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