Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model

Many eukaryotic cells, including neutrophils and Dictyostelium cells, are able to undergo correlated random migration in the absence of directional cues while reacting to shallow gradients of chemoattractants with exquisite precision. Although progress has been made with regard to molecular identiti...

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Autores principales: Lüwen Zhou, Shiliang Feng, Long Li, Shouqin Lü, Yan Zhang, Mian Long 
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:db8a40bb98d245acae1b3e68e429991a2021-11-17T07:03:59ZTwo Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model2296-634X10.3389/fcell.2021.786254https://doaj.org/article/db8a40bb98d245acae1b3e68e429991a2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fcell.2021.786254/fullhttps://doaj.org/toc/2296-634XMany eukaryotic cells, including neutrophils and Dictyostelium cells, are able to undergo correlated random migration in the absence of directional cues while reacting to shallow gradients of chemoattractants with exquisite precision. Although progress has been made with regard to molecular identities, it remains elusive how molecular mechanics are integrated with cell mechanics to initiate and manipulate cell motility. Here, we propose a two dimensional (2D) cell migration model wherein a multilayered dynamic seesaw mechanism is accompanied by a mechanical strain-based inhibition mechanism. In biology, these two mechanisms can be mapped onto the biochemical feedback between phosphoinositides (PIs) and Rho GTPase and the mechanical interplay between filamin A (FLNa) and FilGAP. Cell migration and the accompanying morphological changes are demonstrated in numerical simulations using a particle-spring model, and the diffusion in the cell membrane are simulations using a one dimensional (1D) finite differences method (FDM). The fine balance established between endogenous signaling and a mechanically governed inactivation scheme ensures the endogenous cycle of self-organizing pseudopods, accounting for the correlated random migration. Furthermore, this model cell manifests directional and adaptable responses to shallow graded signaling, depending on the overwhelming effect of the graded stimuli guidance on strain-based inhibition. Finally, the model cell becomes trapped within an obstacle-ridden spatial region, manifesting a shuttle run for local explorations and can chemotactically “escape”, illustrating again the balance required in the complementary signaling pathways.Lüwen ZhouLüwen ZhouShiliang FengShiliang FengLong LiShouqin LüShouqin LüYan ZhangYan ZhangMian Long Mian Long Frontiers Media S.A.articlechemotaxiscytoskeletal remodelingmathematical modelbiochemicalbiomechanicalBiology (General)QH301-705.5ENFrontiers in Cell and Developmental Biology, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic chemotaxis
cytoskeletal remodeling
mathematical model
biochemical
biomechanical
Biology (General)
QH301-705.5
spellingShingle chemotaxis
cytoskeletal remodeling
mathematical model
biochemical
biomechanical
Biology (General)
QH301-705.5
Lüwen Zhou
Lüwen Zhou
Shiliang Feng
Shiliang Feng
Long Li
Shouqin Lü
Shouqin Lü
Yan Zhang
Yan Zhang
Mian Long 
Mian Long 
Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
description Many eukaryotic cells, including neutrophils and Dictyostelium cells, are able to undergo correlated random migration in the absence of directional cues while reacting to shallow gradients of chemoattractants with exquisite precision. Although progress has been made with regard to molecular identities, it remains elusive how molecular mechanics are integrated with cell mechanics to initiate and manipulate cell motility. Here, we propose a two dimensional (2D) cell migration model wherein a multilayered dynamic seesaw mechanism is accompanied by a mechanical strain-based inhibition mechanism. In biology, these two mechanisms can be mapped onto the biochemical feedback between phosphoinositides (PIs) and Rho GTPase and the mechanical interplay between filamin A (FLNa) and FilGAP. Cell migration and the accompanying morphological changes are demonstrated in numerical simulations using a particle-spring model, and the diffusion in the cell membrane are simulations using a one dimensional (1D) finite differences method (FDM). The fine balance established between endogenous signaling and a mechanically governed inactivation scheme ensures the endogenous cycle of self-organizing pseudopods, accounting for the correlated random migration. Furthermore, this model cell manifests directional and adaptable responses to shallow graded signaling, depending on the overwhelming effect of the graded stimuli guidance on strain-based inhibition. Finally, the model cell becomes trapped within an obstacle-ridden spatial region, manifesting a shuttle run for local explorations and can chemotactically “escape”, illustrating again the balance required in the complementary signaling pathways.
format article
author Lüwen Zhou
Lüwen Zhou
Shiliang Feng
Shiliang Feng
Long Li
Shouqin Lü
Shouqin Lü
Yan Zhang
Yan Zhang
Mian Long 
Mian Long 
author_facet Lüwen Zhou
Lüwen Zhou
Shiliang Feng
Shiliang Feng
Long Li
Shouqin Lü
Shouqin Lü
Yan Zhang
Yan Zhang
Mian Long 
Mian Long 
author_sort Lüwen Zhou
title Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
title_short Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
title_full Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
title_fullStr Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
title_full_unstemmed Two Complementary Signaling Pathways Depict Eukaryotic Chemotaxis: A Mechanochemical Coupling Model
title_sort two complementary signaling pathways depict eukaryotic chemotaxis: a mechanochemical coupling model
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/db8a40bb98d245acae1b3e68e429991a
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AT shiliangfeng twocomplementarysignalingpathwaysdepicteukaryoticchemotaxisamechanochemicalcouplingmodel
AT shiliangfeng twocomplementarysignalingpathwaysdepicteukaryoticchemotaxisamechanochemicalcouplingmodel
AT longli twocomplementarysignalingpathwaysdepicteukaryoticchemotaxisamechanochemicalcouplingmodel
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