Summary of ssbd-repos-000182

Repository URL
DOI
Title
Micro-topographical guidance of macropinocytic signaling patches
Description

In fast moving cells such as amoeba and immune cells, dendritic actin filaments are spatio-temporally regulated to shape large-scale plasma membrane protrusions. Despite the importance in migration as well as in particle and liquid ingestion, how their dynamics are affected by micrometer-scale features of the contact surface is still poorly understood. Here, through quantitative image analysis of Dictyostelium on micro-fabricated surfaces, we show that there is a distinct mode of topographical guidance directed by the macropinocytic membrane cup. Unlike other topographic guidance known to date that depends on nanometer-scale curvature sensing protein or stress fibers, the macropinocytic membrane cup is driven by the Ras/PI3K/F-actin signaling patch and its dependency on the micrometer-scale topographic features; namely PI3K/F-actin-independent accumulation of Ras-GTP at the convex curved surface, PI3K-dependent patch propagation along the convex edge and its actomyosin-dependent constriction at the concave edge. Mathematical model simulations demonstrate that the topographically-dependent initiation in combination with the mutually-defining patch patterning and the membrane deformation gives rise to the topographical guidance. Our results suggest that the macropinocytic cup is a self-enclosing structure that can support liquid ingestion by default, however in the presence of structured surfaces, it is directed to faithfully trace bent and bifurcating ridges for particle ingestion and cell guidance.

Submited Date
2021-07-12
Release Date
2021-10-01
Updated Date
2021-11-30
License
Data size
6.3 GB
Data formats
tif, pdf, jpg, png, mov, cc

Organism
Dictyostelium discoideum
Strain
-
Cell Line
AX4, AX2, NC4
Molecular Function (MF)
cytoskeleton
Biological Process (BP)
cellular protein localization
Cellular Component (CC)
-
Study Type
cell migration, contact guidance, chemotaxis
Imaging Methods
confocal microscopy

Method Summary

See details in Honda et. al. (2021) PNAS

Related paper(s)

Gen Honda, Nen Saito, Taihei Fujimori, Hidenori Hashimura, Mitsuru J Nakamura, Akihiko Nakajima, Satoshi Sawai (2021) Microtopographical guidance of macropinocytic signaling patches., Proceedings of the National Academy of Sciences of the United States of America, Volume 118, Number 50

Published in 2021 Dec 14

(Abstract) In fast-moving cells such as amoeba and immune cells, dendritic actin filaments are spatiotemporally regulated to shape large-scale plasma membrane protrusions. Despite their importance in migration, as well as in particle and liquid ingestion, how their dynamics are affected by micrometer-scale features of the contact surface is still poorly understood. Here, through quantitative image analysis of Dictyostelium on microfabricated surfaces, we show that there is a distinct mode of topographical guidance directed by the macropinocytic membrane cup. Unlike other topographical guidance known to date that depends on nanometer-scale curvature sensing protein or stress fibers, the macropinocytic membrane cup is driven by the Ras/PI3K/F-actin signaling patch and its dependency on the micrometer-scale topographical features, namely PI3K/F-actin-independent accumulation of Ras-GTP at the convex curved surface, PI3K-dependent patch propagation along the convex edge, and its actomyosin-dependent constriction at the concave edge. Mathematical model simulations demonstrate that the topographically dependent initiation, in combination with the mutually defining patch patterning and the membrane deformation, gives rise to the topographical guidance. Our results suggest that the macropinocytic cup is a self-enclosing structure that can support liquid ingestion by default; however, in the presence of structured surfaces, it is directed to faithfully trace bent and bifurcating ridges for particle ingestion and cell guidance.
(MeSH Terms)

Contact(s)
Gen HONDA
Organization(s)
University of Tokyo , Department of Basic Science, Graduate School of Arts and Sciences
Image Data Contributors
Nen Saito
Quantitative Data Contributors

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