Spatial heterogeneity of the cytosol revealed by machine learning-based 3D particle tracking.

ABSTRACT: The spatial structure and physical properties of the cytosol are not well understood. Measurements of the material state of the cytosol are challenging due to its spatial and temporal heterogeneity. Recent development of genetically encoded multimeric nanoparticles (GEMs) has opened up study of the cytosol at the length scales of multiprotein complexes (20-60 nm). We developed an image analysis pipeline for 3D imaging of GEMs in the context of large, multinucleate fungi where there is evidence of functional compartmentalization of the cytosol for both the nuclear division cycle and branching. We applied a neural network to track particles in 3D and then created quantitative visualizations of spatially varying diffusivity. Using this pipeline to analyze spatial diffusivity patterns, we foun

SUBMITTER: McLaughlin GA 

PROVIDER: S-EPMC7359570 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature