Computational framework for single-cell spatiotemporal dynamics of optogenetic membrane recruitment.

ABSTRACT: We describe a modular computational framework for analyzing cell-wide spatiotemporal signaling dynamics in single-cell microscopy experiments that accounts for the experiment-specific geometric and diffractive complexities that arise from heterogeneous cell morphologies and optical instrumentation. Inputs are unique cell geometries and protein concentrations derived from confocal stacks and spatiotemporally varying environmental stimuli. After simulating the system with a model of choice, the output is convolved with the microscope point-spread function for direct comparison with the observable image. We experimentally validate this approach in single cells with BcLOV4, an optogenetic membrane recruitment system for versatile control over cell signaling, using a three-dimensional non-linea

SUBMITTER: Kuznetsov IA 

PROVIDER: S-EPMC9308134 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature