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accession-icon GSE62107
Gene expression during ligands activation of RXR in activated RAW264.7 cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Ligands activation of RXR modulate host antivarl response. We used microarray to determine if 9cRA could regulate the antiviral gene expression in LPS- and polyI:C triggered RAW264.7 cells.

Publication Title

Retinoid X receptor α attenuates host antiviral response by suppressing type I interferon.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE48842
Expression data from PML4 overexpressing and control K562 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PML functions as a platform for the interaction of transcription factors and coactivators. Role of PML in erythroid clone formation has been reported but the detail mechanism is unclear.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE49954
T lymphocytes from Chronic HCV-infected patients express unique pro-apoptotic gene signature.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although extensive studies have demonstrated the gene expression patterns of antigen-specific CD4+ and CD8+ T-cells during chronic hepatitis C virus (HCV) infection, the transcriptional profiles of global CD4+ and CD8+ T-cells remains unclear. In this report, we recruited 10 long-term (~20 years) treatment-nave chronic HCV (CHC) patients and 5 healthy donors (HDs) to investigate differences in global CD4+ and CD8+ T-cells gene expression profile.

Publication Title

T lymphocytes from chronic HCV-infected patients are primed for activation-induced apoptosis and express unique pro-apoptotic gene signature.

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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