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bioRxiv · 10.1101/2021.01.29.428712

3D Visualization of the Podocyte Actin Network using Integrated Membrane Extraction, Electron Microscopy, and Deep Learning

Abstract

Although actin stress fibers are abundant in cultured cells, little is known about these structures in vivo. In podocytes of the kidney glomerulus, much evidence suggests that mechanobiological mechanisms underlie injury, with changes to actin stress fiber structures potentially responsible for pathological changes to cell morphology. However, this hypothesis is difficult to rigorously test in vivo due to challenges with visualization. We therefore developed the first visualization technique capable of resolving the three-dimensional (3D) podocyte actin network with unprecedented detail in healthy and injured podocytes, and applied this technique to reveal the changes in the actin network that occur upon podocyte injury. Using isolated glomeruli from healthy mice as well as from three different mouse injury models (Cd2ap-/-, Lamb2-/- and the Col4a3-/- model of Alport syndrome), we applied our novel imaging technique that integrates membrane-extraction, focused ion bean scanning electron microscopy (FIB-SEM), and deep learning image segmentation. In healthy glomeruli, we observed actin cables that link the interdigitating podocyte foot processes to newly described actin structures located at the periphery of the cell body. The actin cables within the foot processes formed a continuous, mesh-like, electron dense sheet that incorporated the slit diaphragms required for kidney filtration. After injury, the actin network was markedly different, having lost its organization and presenting instead as a disorganized assemblage of actin condensates juxtaposed to the glomerular basement membrane. The new visualization method enabled us, for the first time, to observe the detailed 3D organization of actin networks in both healthy and injured podocytes. Shared features of actin condensations across all three injury models further suggested common mechanobiological pathways that govern changes to podocyte morphology after injury.

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BibTeXRIS

Qu, C., Roth, R., Loitman, C., Hammad, D., Genin, G. M., Miner, J. H., Suleiman, H. Y.. 2021-01-29. 3D Visualization of the Podocyte Actin Network using Integrated Membrane Extraction, Electron Microscopy, and Deep Learning. https://doi.org/10.1101/2021.01.29.428712

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