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Home › Dataset Library › Expression data from TGF-beta-treated human ovarian fibroblasts

Dataset: Expression data from TGF-beta-treated human ovarian fibroblasts

Advanced ovarian cancer is the most lethal gynecologic malignancy in the United States. Ovarian cancer cells are known to have diminished...

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Advanced ovarian cancer is the most lethal gynecologic malignancy in the United States. Ovarian cancer cells are known to have diminished response to TGF-beta, but it remains unclear whether TGF-beta can modulate ovarian cancer cell growth in an indirect manner through cancer-associated fibroblasts (CAFs). Using transcriptome profiling analyses on TGF-beta-treated ovarian fibroblasts, we identified a TGF-beta-responsive gene signature in ovarian fibroblasts. Identifying TGF-beta-regulated genes in the ovarian microenvironment helps in understanding the role of TGF-beta in ovarian cancer progression. The human telomerase-immortalized ovarian fibroblast line NOF151 was treated with 5ng/mL of either TGF-beta-1 or TGF-beta-2. Total RNA was isolated from control samples and TGF-beta-treated fibroblasts samples at 48 hours post-treatment, followed by cDNA synthesis, IVT and biotin labeling. Samples were then hybridized onto Affymetrix Human Genome U133 Plus 2.0 microarrays. For each treatment group, three independent samples were prepared for the microarray experiment.

Species:
human

Samples:
9

Source:
E-GEOD-40266

PubMed:
23824740

Updated:
Dec.12, 2014

Registered:
Jul.11, 2014


Factors: (via ArrayExpress)
Sample TREATMENT
GSM989499 TGF-beta-2
GSM989499 TGF-beta-2
GSM989499 TGF-beta-2
GSM989492 TGF-beta-1
GSM989492 TGF-beta-1
GSM989492 TGF-beta-1
GSM989485 control
GSM989485 control
GSM989485 control

Tags

  • cancer
  • cell
  • fibroblast
  • genome
  • line
  • ovarian cancer

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