Multiparametric cell-based assay for the evaluation of transcription inhibition by high-content imaging

Raquel Torres-Guzmán1, Shaoyou Chu, Juan A Velasco

  • 1Translational Sciences & Technologies, Lilly Research Laboratories, Eli Lilly & Company, Lilly Research Laboratories, Alcobendas, Madrid, Spain.

Insights

Researchers screened 2500 compounds and found some that inhibit RNA polymerase activity, affecting gene transcription. A high-content imaging assay was developed to distinguish between cell cycle and transcription inhibition, proving effective for identifying targeted compounds.

Area of Science:

  • Oncology
  • Molecular Biology
  • Drug Discovery

Background:

  • Cancer is characterized by disrupted cell cycle regulation.
  • Cyclin-dependent kinases (CDKs) are key cell cycle regulators and therapeutic targets.
  • CDK family members also influence transcriptional modulation, offering another therapeutic avenue.

Purpose of the Study:

  • To screen compounds for effects on cell division and identify those inhibiting gene transcription.
  • To develop and validate a high-content imaging (HCI) assay for measuring RNA polymerase II activity and cell proliferation.
  • To differentiate between cell cycle and transcription inhibition mechanisms.

Main Methods:

  • Screening of 2500 compounds in U2OS cells to assess effects on cell division.
  • Development of an automated, multiparameter HCI assay to measure RNA polymerase II C-terminal domain phosphorylation (pCTD), DNA content, and proliferation.
  • Linear regression analysis to compare IC50 values for pCTD inhibition with DNA content and proliferation inhibition.

Main Results:

  • A subset of compounds was identified that inhibit RNA polymerase activity, impacting gene transcription.
  • The developed HCI assay demonstrated excellent agreement (r² = 0.84 for DNA content, r² = 0.94 for proliferation) in distinguishing inhibition types.
  • The assay successfully discriminated between compounds affecting cell cycle progression versus those inhibiting transcription.

Conclusions:

  • The HCI assay is a powerful tool for identifying compounds with selective pathway phenotypes.
  • This method enables the discrimination between cell cycle and transcription inhibition.
  • The findings support the potential of targeting transcriptional modulation in cancer therapy.

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