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CASPAM: A Triple-Modality Biosensor for Multiplexed Imaging of Caspase Network Activity
Martín Habif1, Agustín A Corbat1, Mauro Silberberg1
1Department of Physics, FCEN, University of Buenos Aires and IFIBA, CONICET, Buenos Aires C1428EHA, Argentina.
ACS Sensors
|June 30, 2021
Summary
Researchers developed a novel biosensor, CASPAM, to simultaneously track multiple enzyme activities in biological networks. This tool aids in understanding complex cellular processes like apoptosis by reducing variability and enabling robust modeling.
Area of Science:
- Molecular Biology
- Cellular Signaling
- Biophysics
Background:
- Monitoring multiple biological network nodes simultaneously is crucial for understanding signal propagation and correlations.
- Existing methods face challenges in tracking more than two enzymatic activities on short timescales.
- Homo-FRET-based biosensors offer potential for multiplexed imaging due to their narrow spectral width.
Purpose of the Study:
- To introduce a novel single-plasmid, triple-modality reporter for monitoring key nodes in the apoptotic network.
- To enable simultaneous imaging of up to three enzymatic activities using fluorescence polarization anisotropy microscopy.
- To facilitate the study of interactions within the intrinsic, extrinsic, and effector pathways of apoptosis.
Main Methods:
- Development of the Caspase Activity Sensor by Polarization Anisotropy Multiplexing (CASPAM).
- Utilizing fluorescence polarization anisotropy microscopy for imaging.
- Characterization of biosensor performance and expression levels.
Main Results:
- CASPAM successfully enables simultaneous monitoring of up to three enzymatic activities.
- Equimolar expression simplifies experimental procedures and reduces observable variations.
- The biosensor facilitates robust data-driven modeling of molecular pathways.
Conclusions:
- CASPAM is an essential tool for analyzing molecular pathways requiring simultaneous monitoring of multiple nodes.
- The biosensor simplifies complex experiments and enhances the reliability of data for pathway analysis.
- This technology advances the study of cellular signaling, particularly in the context of apoptosis.

