Screening for ligands of human retinoid X receptor-alpha using ultrafiltration mass spectrometry

Dongting Liu1, Jian Guo, Yan Luo

  • 1Department of Medicinal Chemistry and Pharmacognosy, University of Illinois College of Pharmacy, 833 South Wood Street, Chicago, Illinois 60612, USA.

Analytical Chemistry
|November 14, 2007
PubMed

Insights

A new ultrafiltration mass spectrometry assay identifies Retinoid X Receptor (RXR) ligands. This method aids in discovering cancer chemoprevention agents from complex natural product extracts.

Area of Science:

  • Molecular Biology
  • Pharmacology
  • Analytical Chemistry

Background:

  • Retinoid X Receptors (RXRs) are crucial transcription factors regulating cell proliferation, inflammation, differentiation, and apoptosis.
  • RXRs are key targets for cancer chemoprevention strategies.
  • Identifying novel RXR ligands is essential for developing new therapeutic agents.

Purpose of the Study:

  • To develop and validate an ultrafiltration mass spectrometry-based assay for discovering ligands that bind to human RXRalpha.
  • To demonstrate the assay's capability in detecting and identifying RXRalpha ligands in various sample types.

Main Methods:

  • Development of an ultrafiltration mass spectrometry (UF-MS) assay.
  • Utilizing liquid chromatography-tandem mass spectrometry (LC-MS/MS) for detection and identification.
  • Employing competitive binding assays to rank ligand affinity for RXRalpha.

Main Results:

  • The UF-MS assay successfully detected and identified known RXRalpha ligands, including 9-cis-retinoic acid and docosahexaenoic acid.
  • Ligands were identified in both simple (DMSO) and complex matrices (marine bacteria extracts).
  • Competitive binding demonstrated specific ligand interaction and allowed for affinity ranking.

Conclusions:

  • Ultrafiltration LC-MS/MS is a suitable method for screening complex mixtures, such as natural product extracts, for novel RXRalpha ligands.
  • This assay facilitates the discovery of potential cancer chemoprevention agents targeting RXRs.
  • The developed method provides a robust platform for identifying and characterizing RXR-ligand interactions.

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