A Multiplex Assay to Simultaneously Monitor Apoptosis and Necrosis Using the Cellaca® PLX Image Cytometer

Mackenzie Pierce1, Yongyang Huang1, Allen Lin1

  • 1Department of Advanced Technology R&D, Revvity Health Sciences, Inc., 360 Merrimack St., Suite 200, Lawrence, MA, 01843, USA.

Journal of Fluorescence
|January 31, 2024
PubMed

Insights

This study presents a new multiplex detection method to monitor programmed cell death (apoptosis) and necrosis in cancer cells. The method effectively tracks apoptosis progression and aids in screening potential cancer therapeutics.

Area of Science:

  • Cell Biology
  • Cancer Research
  • Drug Discovery

Background:

  • Apoptosis is a crucial programmed cell death pathway for homeostasis.
  • Cancer cells often evade apoptosis, contributing to their survival and proliferation.
  • Characterizing therapeutics that induce apoptosis is vital for drug discovery.

Purpose of the Study:

  • To develop and demonstrate a multiplex detection method for monitoring apoptosis and necrosis.
  • To utilize image cytometry for simultaneous assessment of early-stage apoptosis, late-stage apoptosis, and necrosis.
  • To evaluate the method's efficacy in characterizing cancer therapeutic candidates.

Main Methods:

  • Developed a multiplex detection assay using Annexin V, Caspase-3, and Propidium Iodide (PI).
  • Employed the Cellaca® PLX Image Cytometer for apoptosis and necrosis monitoring.
  • Induced apoptosis in Jurkat and K562 cell lines with staurosporine and assessed at multiple timepoints.

Main Results:

  • Successfully detected apoptotic factors and cascades from early- to late-stage apoptosis and necrosis.
  • Observed distinct trends in apoptotic and necrotic populations within the first 1.5 hours in Jurkat cells.
  • K562 cells showed limited response to staurosporine, indicating differential sensitivity.

Conclusions:

  • The developed image cytometric method enables efficient and reliable simultaneous detection of apoptosis and necrosis.
  • This approach can significantly aid researchers in characterizing and screening potential cancer therapeutics.
  • The method offers a higher throughput solution for evaluating drug efficacy in cancer treatment.

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