Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling

Rho-GTPases are central regulators within a complex signaling network that controls cytoskeletal organization and cell movement. The network includes multiple GTPases, such as the most studied Rac1, Cdc42, and RhoA, along with their numerous effectors that provide mutual regulation through feedback...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Cells
المؤلفون الرئيسيون: Siarhei Hladyshau, Jorik P. Stoop, Kosei Kamada, Shuyi Nie, Denis Tsygankov
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2023-06-01
الموضوعات:
الوصول للمادة أونلاين:https://www.mdpi.com/2073-4409/12/12/1638
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author Siarhei Hladyshau
Jorik P. Stoop
Kosei Kamada
Shuyi Nie
Denis Tsygankov
author_facet Siarhei Hladyshau
Jorik P. Stoop
Kosei Kamada
Shuyi Nie
Denis Tsygankov
author_sort Siarhei Hladyshau
collection DOAJ
container_title Cells
description Rho-GTPases are central regulators within a complex signaling network that controls cytoskeletal organization and cell movement. The network includes multiple GTPases, such as the most studied Rac1, Cdc42, and RhoA, along with their numerous effectors that provide mutual regulation through feedback loops. Here we investigate the temporal and spatial relationship between Rac1 and Cdc42 during membrane ruffling, using a simulation model that couples GTPase signaling with cell morphodynamics and captures the GTPase behavior observed with FRET-based biosensors. We show that membrane velocity is regulated by the kinetic rate of GTPase activation rather than the concentration of active GTPase. Our model captures both uniform and polarized ruffling. We also show that cell-type specific time delays between Rac1 and Cdc42 activation can be reproduced with a single signaling motif, in which the delay is controlled by feedback from Cdc42 to Rac1. The resolution of our simulation output matches those of time-lapsed recordings of cell dynamics and GTPase activity. Our data-driven modeling approach allows us to validate simulation results with quantitative precision using the same pipeline for the analysis of simulated and experimental data.
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spelling doaj-art-e4d8ccdcddbd426db6b57301483065f32025-08-19T22:44:40ZengMDPI AGCells2073-44092023-06-011212163810.3390/cells12121638Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell RufflingSiarhei Hladyshau0Jorik P. Stoop1Kosei Kamada2Shuyi Nie3Denis Tsygankov4School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USAWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USAFaculty of Medicine, The University of Tokyo, Tokyo 113-8654, JapanSchool of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USAWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USARho-GTPases are central regulators within a complex signaling network that controls cytoskeletal organization and cell movement. The network includes multiple GTPases, such as the most studied Rac1, Cdc42, and RhoA, along with their numerous effectors that provide mutual regulation through feedback loops. Here we investigate the temporal and spatial relationship between Rac1 and Cdc42 during membrane ruffling, using a simulation model that couples GTPase signaling with cell morphodynamics and captures the GTPase behavior observed with FRET-based biosensors. We show that membrane velocity is regulated by the kinetic rate of GTPase activation rather than the concentration of active GTPase. Our model captures both uniform and polarized ruffling. We also show that cell-type specific time delays between Rac1 and Cdc42 activation can be reproduced with a single signaling motif, in which the delay is controlled by feedback from Cdc42 to Rac1. The resolution of our simulation output matches those of time-lapsed recordings of cell dynamics and GTPase activity. Our data-driven modeling approach allows us to validate simulation results with quantitative precision using the same pipeline for the analysis of simulated and experimental data.https://www.mdpi.com/2073-4409/12/12/1638multiscale modelingmorphodynamicsRho family GTPasesFRET-based biosensorscytoskeletal regulation
spellingShingle Siarhei Hladyshau
Jorik P. Stoop
Kosei Kamada
Shuyi Nie
Denis Tsygankov
Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
multiscale modeling
morphodynamics
Rho family GTPases
FRET-based biosensors
cytoskeletal regulation
title Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
title_full Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
title_fullStr Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
title_full_unstemmed Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
title_short Spatiotemporal Coordination of Rac1 and Cdc42 at the Whole Cell Level during Cell Ruffling
title_sort spatiotemporal coordination of rac1 and cdc42 at the whole cell level during cell ruffling
topic multiscale modeling
morphodynamics
Rho family GTPases
FRET-based biosensors
cytoskeletal regulation
url https://www.mdpi.com/2073-4409/12/12/1638
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AT koseikamada spatiotemporalcoordinationofrac1andcdc42atthewholecelllevelduringcellruffling
AT shuyinie spatiotemporalcoordinationofrac1andcdc42atthewholecelllevelduringcellruffling
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