Co-imaging extrinsic, intrinsic and effector caspase activity by fluorescence anisotropy microscopy.

Redox Biol

Department of Physics, FCEN, University of Buenos Aires and IFIBA, CONICET, Buenos Aires, Argentina; Department of Systemic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund, Germany. Electronic address:

Published: October 2018

AI Article Synopsis

  • In order to effectively study biological networks, it's crucial to measure multiple biological signals in single living cells due to variations between cells.
  • Researchers developed three unique FRET biosensors that can separately track different protein interactions to overcome the challenges of measuring more than two signals simultaneously.
  • By applying these biosensors to monitor caspase activity during apoptosis, the study demonstrates how their signals can be used to refine models of biological signaling networks and improve our understanding of how signals propagate within cells.

Article Abstract

In order to overcome intercellular variability and thereby effectively assess signal propagation in biological networks it is imperative to simultaneously quantify multiple biological observables in single living cells. While fluorescent biosensors have been the tool of choice to monitor the dynamics of protein interaction and enzymatic activity, co-measuring more than two of them has proven challenging. In this work, we designed three spectrally separated anisotropy-based Förster Resonant Energy Transfer (FRET) biosensors to overcome this difficulty. We demonstrate this principle by monitoring the activation of extrinsic, intrinsic and effector caspases upon apoptotic stimulus. Together with modelling and simulations we show that time of maximum activity for each caspase can be derived from the anisotropy of the corresponding biosensor. Such measurements correlate relative activation times and refine existing models of biological signalling networks, providing valuable insight into signal propagation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6120609PMC
http://dx.doi.org/10.1016/j.redox.2018.07.023DOI Listing

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