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

Autor: McLaughlin GA; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599., Langdon EM; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599., Crutchley JM; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599., Holt LJ; Institute for Systems Genetics, New York University Langone Health, New York, NY 10016., Forest MG; UNC/NCSU Joint Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.; Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.; Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599., Newby JM; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, AB T6G 2G1, Canada., Gladfelter AS; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.; Marine Biological Laboratory, Woods Hole, MA 02543.
Jazyk: angličtina
Zdroj: Molecular biology of the cell [Mol Biol Cell] 2020 Jul 01; Vol. 31 (14), pp. 1498-1511. Date of Electronic Publication: 2020 May 13.
DOI: 10.1091/mbc.E20-03-0210
Abstrakt: 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 found that there is substantial variability in the properties of the cytosol. We detected zones where GEMs display especially low diffusivity at hyphal tips and near some nuclei, showing that the physical state of the cytosol varies spatially within a single cell. Additionally, we observed significant cell-to-cell variability in the average diffusivity of GEMs. Thus, the physical properties of the cytosol vary substantially in time and space and can be a source of heterogeneity within individual cells and across populations.
Databáze: MEDLINE