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accession-icon GSE63662
GM-CSF induced gene-regulation in human monocytes
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human and murine studies showed that granulocyte macrophage colony-stimulating factor (GM-CSF) exerts beneficial effects in intestinal inflammation. To explore whether GM-CSF mediates its effects via monocytes, we analyzed effects of GM-CSF on monocytes in vitro and assessed the immunomodulatory potential of GM-CSF-activated monocytes (GMaM). We used microarray technology and functional assays to characterize GMaM in vitro and used a mouse model of colitis to study GMaM functions in vivo.

Publication Title

Reprogramming of monocytes by GM-CSF contributes to regulatory immune functions during intestinal inflammation.

Sample Metadata Fields

Specimen part

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accession-icon GSE44355
Expression data from Adriamycin-treated Emu-myc; Suv39h1-/- B-cell lymphoma
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Oncogene-induced senescence (OIS), a terminal cell cycle block countering (pre)neoplastic lesions, is characterised on the molecular level by trimethylated histone H3 lysine 9 (h3K9me3), a transcriptionally repressive chromatin mark linked to silencing of S-phase-promoting genes. Whether H3K9-governed chromatin remodelling influences anticancer treatment-induced senescence (TIS) and whether functional control of this mark impacts on treatment outcome is not known. We used global gene expression profiling by microarrays to gain insight into the molecular responses of Emu-myc; Suv39h1-/- B-cell lymphoma cells to senescence-inducing anticancer agent Adriamycin (ADR).

Publication Title

Synthetic lethal metabolic targeting of cellular senescence in cancer therapy.

Sample Metadata Fields

Specimen part, Treatment

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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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