A simple high-content cell cycle assay reveals frequent discrepancies between cell number and ATP and MTS

Grace Ka Yan Chan1, Tracy L Kleinheinz, David Peterson

  • 1Department of Biochemical and Cellular Pharmacology, Genentech, Inc South, San Francisco, California, United States of America.

Plos One
|May 22, 2013
PubMed

Insights

Metabolism-based assays can underestimate anti-cancer drug potency and efficacy by misinterpreting cell cycle arrest as proliferation. A high-throughput image-based assay accurately measures cell number and cell cycle phase for reliable drug screening.

Area of Science:

  • Cell Biology
  • Pharmacology
  • Drug Discovery

Background:

  • Accurate characterization of antiproliferative potency and mechanism of action is crucial for small molecule drug development targeting the cell cycle.
  • Existing metabolism-based assays (ATP-dependent bioluminescence, MTS reduction) are commonly used but may not accurately reflect cell number and proliferation.
  • Understanding assay limitations is essential for reliable drug screening and sensitivity profiling.

Purpose of the Study:

  • To develop and validate a high-throughput image-based assay for precise measurement of cell number and cell cycle phase distribution.
  • To compare the performance of the image-based assay against traditional metabolism-based assays for profiling anti-cancer agents.
  • To investigate the impact of compound mechanism of action on assay results and identify potential sources of error.

Main Methods:

  • Development of a high-throughput image-based assay to determine cell number and cell cycle phase distribution.
  • Profiling of experimental and approved anti-cancer agents across various cell lines using the developed assay.
  • Comparative analysis of direct cell counting, ATP-dependent bioluminescence, MTS reduction, and DNA-binding dye fluorescence assays.

Main Results:

  • Metabolism-based assays frequently underestimate compound potency and efficacy, particularly for DNA synthesis inhibitors like gemcitabine and etoposide.
  • Concentration-dependent phenotypic 'switching' in metabolism-based assays can lead to non-monotonic dose-response curves.
  • Drug-induced increases in ATP content correlated with cell cycle arrest, increased cell size, and mitochondrial content, not necessarily proliferation.

Conclusions:

  • High-throughput image-based assays provide a more accurate assessment of antiproliferative activity and mechanism of action compared to metabolism-based assays.
  • Metabolism-based assays can yield misleading results due to variations in compound mechanism and cell line-specific responses.
  • The developed image-based assay is a valuable tool for reliable drug screening and sensitivity profiling in cancer research.

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