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Dataset on the response of Hut78 cells to novel rexinoids

Jennifer Hackney Price1, Bentley J Hanish1, Carl E Wagner1

  • 1School of Mathematical and Natural Sciences, Arizona State University, USA.

Data in Brief
|October 9, 2018
PubMed

Insights

This study analyzes gene expression in cutaneous T cell lymphoma (CTCL) cells treated with bexarotene and rexinoids. A new Divergence Score method aids in understanding cancer drug mechanisms and designing new therapeutics.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Cutaneous T cell lymphoma (CTCL) is a type of T cell lymphoma.
  • Bexarotene and rexinoids are therapeutic agents being investigated for cancer treatment.

Purpose of the Study:

  • To present experimental data supporting differential gene expression analysis in CTCL cells.
  • To introduce a novel method for analyzing gene expression in the context of ligand-receptor interactions.
  • To identify potential regulatory elements for retinoid signaling in cancer genes.

Main Methods:

  • Microarray gene expression analysis of human CTCL (Hut78) cells.
  • Application of a novel analytical method, the Divergence Score, for gene expression analysis.
  • Bioinformatic analysis to detect retinoid response elements in gene promoter regions.

Main Results:

  • Differential gene expression patterns were observed in CTCL cells treated with bexarotene and rexinoids.
  • The Divergence Score effectively analyzes gene expression data within a ligand-driven mechanism model.
  • Potential retinoid response elements were identified in the promoter regions of selected genes.

Conclusions:

  • The presented data and methods contribute to understanding rexinoid action in CTCL.
  • The Divergence Score offers a novel approach for analyzing gene expression data in drug discovery.
  • Findings support the development of next-generation rexinoids as cancer therapeutics.

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