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accession-icon GSE105288
Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Renal cell carcinoma (RCC) is among the ten most common malignancies. By far, the most common histology is clear cell (ccRCC). The Cancer Genome Atlas and other large scale sequencing studies of ccRCC have been integral to the current understanding of molecular events underlying RCC and its biology. However, these data sets have focused on primary RCC which often demonstrates indolent behavior. In contrast, metastatic disease is the major cause of mortality associated with ccRCC. However, data sets examining metastatic tumor are sparse. We therefore undertook an integrative analysis of gene expression and DNA methylome profiling of metastatic ccRCC in addition to primary RCC and normal kidney. Integrative analysis of the methylome and transcriptome identified over 30 RCC specific genes whose mRNA expression inversely correlated with promoter methylation including several known targets of hypoxia inducible factors (HIFs). Notably, genes encoding several metabolism-related proteins were identified as differentially regulated via methylation. Collectively, our data provide novel insight into biology of aggressive RCC. Furthermore, they demonstrate a clear role for epigenetics in the promotion of HIF signaling and invasive phenotypes in renal cancer.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE105261
Transcriptome analysis of normal kidney, primary and metastasis ccRCC
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Understanding gene expression changes during transformation from normal tissue to primary RCC and then to metastasis is important. Such analysis is pivotal for undertanding biology in renal cancer and also to unearth novel gene targets.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

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accession-icon GSE46708
CD24 targets
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression were identified with or without CD24 gene silencing in Du145 cells.

Publication Title

Intracellular CD24 disrupts the ARF-NPM interaction and enables mutational and viral oncogene-mediated p53 inactivation.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE46246
[E-MEXP-3786] IGF-I-induced chronic gliosis and retinal stress lead to neurodegeneration in an animal model of retinopathy
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Transcription profiling by array of mouse male retinas to investigate IGF-I-induced chronic gliosis and retinal stress

Publication Title

Insulin-like growth factor I (IGF-I)-induced chronic gliosis and retinal stress lead to neurodegeneration in a mouse model of retinopathy.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-3786
Transcription profiling by array of mouse male retinas to investugate IGF-I-induced chronic gliosis and retinal stress
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

IGF-I exert multiple effects in different retinal cell populations in both physiological and pathological conditions. Transgenic mice overexpressing IGF-I in the retina showed impaired electroretinographic responses at 6-7 months of age that worsen with age. This retinal neuronal dysfunction was correlated with the loss of rod photoreceptors, bipolar, ganglion and amacrines cells. Neuronal alterations were preceded by the overexpression of retinal stress markers, acute phase proteins and gliosis-related genes. IGF-I overexpression leads to chronic gliosis and microgliosis in TgIGF-I retinas, with mild oxidative stress, impaired recycling of glutamate and defective potassium buffering. These impaired supportive functions can contribute to neurodegeneration in TgIGF-I retinas, together with the increased production of pro-inflammatory cytokines, potential mediators of neuronal death.

Publication Title

Insulin-like Growth Factor 2 Overexpression Induces β-Cell Dysfunction and Increases Beta-cell Susceptibility to Damage.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-2191
Transcription profiling of mouse CD1 wild types or induced diabetic littermates treated with human insulin and rat glucokinase
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Many concurrent arrays were run for different projects. All test conditions were tested in all animal models. Animal models were (i) healthy CD1 mice (abbreviation CN), or (ii) STZ-induced diabetic CD1 littermates (STZ). Treatment conditions were (i) untreated animals (no prefix), (ii) treatment with 30ul saline and electrotransfer ("e" prefix), (iii) treatment with 75ug noncoding parental plasmid pGG2-CMV ("p" prefix), or (iv) treatment with 37.5ug each (75ug net) of pGG2-CMV-hIns and pGG2-CMV-rGck expressing human insulin and rat glucokinase respectively ("t" prefix). All samples were harvested 7 days after treatment.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject, Compound, Time

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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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