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Updated: Aug 27, 2026

Automated Detection and Analysis of Exocytosis
Published on: September 11, 2021
Sub-resolution imaging and Bayesian analysis of exocytosis events reveals nanoscale patterning by cortical
Jelmer J Lindeboom1, Ryan Gutierrez1,2, Viktor Kirik3
1Department of Plant Biology, Carnegie Institution for Science, 260 Panama St, Stanford, CA 94305, United States.
Abstract:
The microtubule cytoskeleton organizes exocytosis to enable cellular morphogenesis, but how non-centrosomal arrays control exocytic site positioning remains poorly understood. Using elongating Arabidopsis thaliana cells as a model, we developed quantitative methods to move beyond coarse correlation and reveal the precise spatial relationship between cortical microtubules and secretion. We identify KEULE, an essential SEC/MUNC protein, as a dynamic exocytosis marker that forms clusters with stereotyped assembly and disassembly kinetics at discrete secretion sites. Combining confocal microscopy with super-resolution analysis and Bayesian inference, we quantified microtubule-exocytosis positioning at nanometer precision. This analysis revealed that microtubules create ∼180-nm enrichment zones flanked by ∼520-nm depletion zones, generating a spatial pattern that replicates the cortical array structure. Unexpectedly, Bayesian inference showed strong evidence for a flat enrichment profile within these zones rather than peaked distributions. This flat profile, combined with the ∼180-nm width, challenges a direct vesicle capture mechanism, suggesting consideration of alternative models such as a mechanism where microtubules organize the local membrane environment to create preferred exocytosis territories. These findings establish quantitative spatial rules for how non-centrosomal microtubule arrays organize secretion.

