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accession-icon GSE17045
Expression data from kidney transplantations in a Fisher-Lewis rat model: placebo and 13cisRA treatment
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Most kidney allograft losses are caused by chronic allograft dysfunction (CAD). The aim of the study was to correlate changes in gene expression over time during the development of chronic damage in contrast to13cisRA Treated animal that demonstrated morphologically healthy kidneys by the end of teh study. Renal allografts were harvested from placebo and13cisRA Treatment groups for time points 0d, 7d, 14d and 56d (n=3-5) and examined for steady state mRNA expression using Affymetrix microarray RG-U34A. The effect of the13cisRA Treatment on dysregulated pathways was examined. In order to verify the microarray analysis, qPCR has been performed.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE13368
Expression data from kidney transplantions in a fisher-lewis rat model
  • organism-icon Rattus norvegicus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Most kidney allograft losses are caused by chronic allograft dysfunction (CAD) that is characterized by interstitial fibrosis, tubular atrophy and a smoldering inflammatory process. The aim of the study was to correlate changes in gene expression over time, as evidenced by effects on regulatory pathways linked to the development of fibrosis and inflammation during the development of chronic damage. Renal allografts were harvested for time points 0d, 7d, 14d and 56d (n=3-5) and examined for steady state mRNA expression using Affymetrix microarray RG-U34A. A select group of genes previously associated with chronic fibrosis was then examined in the context of progressive dysfunction. In order to verify the microarray analysis, qPCR has been performed.

Publication Title

Wnt pathway regulation in chronic renal allograft damage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32395
miRNA profiling in osteosarcoma: a cell line based approach with correlation to gene expression
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We found various genes involved in differentiation (RGMB, LRRC17), cell cycle control (Cyclin E1) and apoptosis (LIMA1, CAMK2N1) were found to be deregulated in osteosarcoma cell lines, most likely due to altered miRNA expression patterns.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE19652
Effector T cells driving monophasic vs relapse/remitting experimental autoimmune uveitis show unique pathway signatures
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Experimental autoimmune uveitis (EAU) in Lewis rats is a model for the clinical heterogeneity of human uveitis. The autoantigens inducing disease in the rat are also seen in human disease. Depending upon the specific autoantigen used, the experimental disease course can be either monophasic or relapsing/remitting and appears to be dictated by the T cell effector phenotype elicited. We investigated potential differences between monophasic and relapsing/remitting effector T cells using transcriptomic profiling and pathway analysis. RNA samples isolated from three independent T cell lines derived from each specificity where analyzed by microarrays.

Publication Title

Effector T cells driving monophasic vs. relapsing/remitting experimental autoimmune uveitis show unique pathway signatures.

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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