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Analysis of triptolide-regulated gene expression in Jurkat cells by complementary DNA microarray.

Ze-Ying Du1, Xiao-Yu Li, Yuan-Chao Li

  • 1Department of Pharmacology, Shanghai Institute of Materia Medica, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.

Acta Pharmacologica Sinica
|September 6, 2003
PubMed
Summary

Triptolide treatment significantly altered gene expression in Jurkat cells, suppressing 117 genes, including key signaling pathways like MAP kinase and PI-3 kinase. This reveals potential drug targets for triptolide

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Area of Science:

  • Molecular Biology
  • Genomics
  • Pharmacology

Background:

  • Triptolide is known for its immunosuppressive and antitumor properties.
  • Identifying the molecular targets of triptolide is crucial for understanding its mechanisms of action.

Purpose of the Study:

  • To investigate global gene expression changes in Jurkat cells following triptolide treatment.
  • To identify potential molecular targets of triptolide through gene expression profiling.

Main Methods:

  • Jurkat cells were treated with triptolide (10 microg/L) for 2 hours.
  • Total RNA was isolated and used for cDNA probe synthesis.
  • High-density DNA microarrays (13,872 genes/Ests) were employed to analyze gene expression profiles.
  • GeneSpring software was used for array image analysis.

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Main Results:

  • Triptolide significantly suppressed the expression of 117 genes in Jurkat cells.
  • Downregulated genes included transcription factors, signal transduction regulators, and DNA-binding proteins.
  • Notably, mitogen-activated protein kinase kinase kinase kinase 5 (MAP kinase 5) and phosphoinositide-3-kinase (PI-3 kinase) expression decreased over 100-fold.
  • Genes involved in lipid transport and metabolism were also downregulated.

Conclusions:

  • High-density microarrays are effective for identifying drug targets.
  • Triptolide's immunosuppressive and antitumor effects may be mediated by the suppression of MAP kinase and PI-3 kinase gene expression.