Monitoring caspase-3 activation with a multimodality imaging sensor in living subjects

Pritha Ray1, Abhijit De, Manishkumar Patel

  • 1Molecular Imaging Program at Stanford, Departments of Radiology and Bioengineering, Bio-X Program, School of Medicine, Stanford University, California 94305-5427, USA.

Abstract

Insights

Researchers developed a novel reporter vector to noninvasively monitor caspase-3 activation, a key indicator of chemotherapy-induced apoptosis. This tool aids in tracking cancer cell death in real-time for drug screening.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Caspase-3 is crucial for chemotherapy-induced apoptosis in various cancers.
  • Monitoring caspase-3 activation is vital for assessing cancer treatment efficacy.

Purpose of the Study:

  • To develop and validate a multimodality reporter vector for indirect monitoring of caspase-3 activation in live cells and tumors.
  • To assess the vector's utility in tracking apoptosis in preclinical cancer models.

Main Methods:

  • A fusion protein (MTF) was engineered, combining mRFP1, firefly luciferase (FL), and HSV1-sr39 truncated thymidine kinase (TK) via a caspase-3-cleavable linker.
  • A melanoma cell line (B16F10-mtf-hrl) was established to express the MTF reporter and a viability marker (hrl-IRES-gfp).
  • Caspase-3 activation was measured by increased reporter activity (mRFP1, FL, TK) using fluorescence-activated cell sorting and enzyme assays; tumor imaging utilized bioluminescence and micro-PET.

Main Results:

  • In 293T cells, staurosporine induced significant increases in FL (2.8-fold) and mRFP1 (2-fold) activity.
  • In vivo, B16F10-mtf-hrl tumors showed a 2-fold increase in FL and TK activity compared to controls.
  • The system successfully monitored caspase-3 activation kinetics noninvasively in mice treated with protein kinase-C inhibitors.

Conclusions:

  • The multimodality caspase sensor vector effectively monitors caspase-3 activation from single cells to tumors.
  • This tool is valuable for noninvasive drug screening in preclinical models.
  • It holds potential for future applications in patient cell-based therapy monitoring.

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