1
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Kaiyrbekov K, Endresen K, Sullivan K, Zheng Z, Chen Y, Serra F, Camley BA. Migration and division in cell monolayers on substrates with topological defects. Proc Natl Acad Sci U S A 2023; 120:e2301197120. [PMID: 37463218 PMCID: PMC10372565 DOI: 10.1073/pnas.2301197120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 05/27/2023] [Indexed: 07/20/2023] Open
Abstract
Collective movement and organization of cell monolayers are important for wound healing and tissue development. Recent experiments highlighted the importance of liquid crystal order within these layers, suggesting that +1 topological defects have a role in organizing tissue morphogenesis. We study fibroblast organization, motion, and proliferation on a substrate with micron-sized ridges that induce +1 and -1 topological defects using simulation and experiment. We model cells as self-propelled deformable ellipses that interact via a Gay-Berne potential. Unlike earlier work on other cell types, we see that density variation near defects is not explained by collective migration. We propose instead that fibroblasts have different division rates depending on their area and aspect ratio. This model captures key features of our previous experiments: the alignment quality worsens at high cell density and, at the center of the +1 defects, cells can adopt either highly anisotropic or primarily isotropic morphologies. Experiments performed with different ridge heights confirm a prediction of this model: Suppressing migration across ridges promotes higher cell density at the +1 defect. Our work enables a mechanism for tissue patterning using topological defects without relying on cell migration.
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Affiliation(s)
- Kurmanbek Kaiyrbekov
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
| | - Kirsten Endresen
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
| | - Kyle Sullivan
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
| | - Zhaofei Zheng
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
| | - Yun Chen
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD21218
| | - Francesca Serra
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
- Department of Physics, Chemistry and Pharmacy, University of Southern Denmark, Odense5230, Denmark
| | - Brian A. Camley
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD21218
- Department of Biophysics, Johns Hopkins University, Baltimore, MD21218
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2
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Zadeh P, Camley BA. Picking winners in cell-cell collisions: Wetting, speed, and contact. Phys Rev E 2022; 106:054413. [PMID: 36559372 DOI: 10.1103/physreve.106.054413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/27/2022] [Indexed: 06/17/2023]
Abstract
Groups of eukaryotic cells can coordinate their crawling motion to follow cues more effectively, stay together, or invade new areas. This collective cell migration depends on cell-cell interactions, which are often studied by colliding pairs of cells together. Can the outcome of these collisions be predicted? Recent experiments on trains of colliding epithelial cells suggest that cells with a smaller contact angle to the surface or larger speeds are more likely to maintain their direction ("win") upon collision. When should we expect shape or speed to correlate with the outcome of a collision? To investigate this question, we build a model for two-cell collisions within the phase field framework, which allows for cell shape changes. We can reproduce the observation that cells with high speed and small contact angles are more likely to win with two different assumptions for how cells interact: (1) velocity aligning, in which we hypothesize that cells sense their own velocity and align to it over a finite timescale, and (2) front-front contact repolarization, where cells polarize away from cell-cell contact, akin to contact inhibition of locomotion. Surprisingly, though we simulate collisions between cells with widely varying properties, in each case, the probability of a cell winning is completely captured by a single summary variable: its relative speed (in the velocity-aligning model) or its relative contact angle (in the contact repolarization model). Both models are currently consistent with reported experimental results, but they can be distinguished by varying cell contact angle and speed through orthogonal perturbations.
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Affiliation(s)
- Pedrom Zadeh
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21210, USA
| | - Brian A Camley
- William H. Miller III Department of Physics & Astronomy, Johns Hopkins University, Baltimore, Maryland 21210, USA
- Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, USA
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3
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Pittman M, Iu E, Li K, Wang M, Chen J, Taneja N, Jo MH, Park S, Jung WH, Liang L, Barman I, Ha T, Gaitanaros S, Liu J, Burnette D, Plotnikov S, Chen Y. Membrane Ruffling is a Mechanosensor of Extracellular Fluid Viscosity. NATURE PHYSICS 2022; 18:1112-1121. [PMID: 37220497 PMCID: PMC10202009 DOI: 10.1038/s41567-022-01676-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/17/2022] [Indexed: 05/25/2023]
Abstract
Cell behaviour is affected by the physical forces and mechanical properties of the cells and of their microenvironment. The viscosity of extracellular fluid - a component of the cellular microenvironment - can vary by orders of magnitude, but its effect on cell behaviour remains largely unexplored. Using bio-compatible polymers to increase the viscosity of the culture medium, we characterize how viscosity affects cell behaviour. We find that multiple types of adherent cells respond in an unexpected but similar manner to elevated viscosity. In a highly viscous medium, cells double their spread area, exhibit increased focal adhesion formation and turnover, generate significantly greater traction forces, and migrate nearly two times faster. We observe that when cells are immersed in regular medium, these viscosity-dependent responses require an actively ruffling lamellipodium - a dynamic membrane structure at the front of the cell. We present evidence that cells utilize membrane ruffling to sense changes in extracellular fluid viscosity and to trigger adaptive responses.
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Affiliation(s)
- Matthew Pittman
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Ernest Iu
- Department of Cell & Systems Biology, University of Toronto
| | - Keva Li
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Mingjiu Wang
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Junjie Chen
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Nilay Taneja
- Department of Cell and Developmental Biology, Vanderbilt University
| | | | - Seungman Park
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Wei-Hung Jung
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
| | - Le Liang
- Department of Mechanical Engineering, Johns Hopkins University
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University
| | - Taekjip Ha
- Department of Biophysics, Johns Hopkins University
| | | | - Jian Liu
- Department of Cell Biology, Johns Hopkins University School of Medicine
| | - Dylan Burnette
- Department of Cell and Developmental Biology, Vanderbilt University
| | | | - Yun Chen
- Department of Mechanical Engineering, Johns Hopkins University
- Institute for NanoBioTechnology, Johns Hopkins University
- Center for Cell Dynamics, Johns Hopkins University
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4
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Francis EA, Heinrich V. Integrative experimental/computational approach establishes active cellular protrusion as the primary driving force of phagocytic spreading by immune cells. PLoS Comput Biol 2022; 18:e1009937. [PMID: 36026476 PMCID: PMC9455874 DOI: 10.1371/journal.pcbi.1009937] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 09/08/2022] [Accepted: 07/27/2022] [Indexed: 12/02/2022] Open
Abstract
The dynamic interplay between cell adhesion and protrusion is a critical determinant of many forms of cell motility. When modeling cell spreading on adhesive surfaces, traditional mathematical treatments often consider passive cell adhesion as the primary, if not exclusive, mechanistic driving force of this cellular motion. To better assess the contribution of active cytoskeletal protrusion to immune-cell spreading during phagocytosis, we here develop a computational framework that allows us to optionally investigate both purely adhesive spreading (“Brownian zipper hypothesis”) as well as protrusion-dominated spreading (“protrusive zipper hypothesis”). We model the cell as an axisymmetric body of highly viscous fluid surrounded by a cortex with uniform surface tension and incorporate as potential driving forces of cell spreading an attractive stress due to receptor-ligand binding and an outward normal stress representing cytoskeletal protrusion, both acting on the cell boundary. We leverage various model predictions against the results of a directly related experimental companion study of human neutrophil phagocytic spreading on substrates coated with different densities of antibodies. We find that the concept of adhesion-driven spreading is incompatible with experimental results such as the independence of the cell-spreading speed on the density of immobilized antibodies. In contrast, the protrusive zipper model agrees well with experimental findings and, when adapted to simulate cell spreading on discrete adhesion sites, it also reproduces the observed positive correlation between antibody density and maximum cell-substrate contact area. Together, our integrative experimental/computational approach shows that phagocytic spreading is driven by cellular protrusion, and that the extent of spreading is limited by the density of adhesion sites. To accomplish many routine biological tasks, cells must rapidly spread over different types of surfaces. Here, we examine the biophysical underpinnings of immune cell spreading during phagocytosis, the process by which white blood cells such as neutrophils engulf pathogens or other foreign objects. Our computational framework models the case in which a human neutrophil spreads over a flat surface coated with antibodies, which we also test experimentally in a companion paper. Our primary purpose is to assess whether phagocytic spreading is actively driven by protrusive forces exerted by the cell, or passively by adhesive forces acting between receptors in the cell membrane and antibodies on the surface. By directly comparing our model predictions to experimental results, we demonstrate that phagocytic spreading is primarily driven by protrusion, but the extent of spreading is still limited by the availability of binding sites. Our findings improve the fundamental understanding of phagocytosis and may also pave the way for future investigations of the balance between adhesion and protrusion in other forms of cell spreading, such as wound healing or cancer cell migration.
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Affiliation(s)
- Emmet A. Francis
- Department of Biomedical Engineering, University of California Davis, Davis, California, United States of America
- * E-mail: (EAF); (VH)
| | - Volkmar Heinrich
- Department of Biomedical Engineering, University of California Davis, Davis, California, United States of America
- * E-mail: (EAF); (VH)
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5
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Ghabache E, Cao Y, Miao Y, Groisman A, Devreotes PN, Rappel W. Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion. Mol Syst Biol 2021; 17:e10505. [PMID: 34898015 PMCID: PMC8666840 DOI: 10.15252/msb.202110505] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 11/13/2022] Open
Abstract
Motile cells can use and switch between different modes of migration. Here, we use traction force microscopy and fluorescent labeling of actin and myosin to quantify and correlate traction force patterns and cytoskeletal distributions in Dictyostelium discoideum cells that move and switch between keratocyte-like fan-shaped, oscillatory, and amoeboid modes. We find that the wave dynamics of the cytoskeletal components critically determine the traction force pattern, cell morphology, and migration mode. Furthermore, we find that fan-shaped cells can exhibit two different propulsion mechanisms, each with a distinct traction force pattern. Finally, the traction force patterns can be recapitulated using a computational model, which uses the experimentally determined spatiotemporal distributions of actin and myosin forces and a viscous cytoskeletal network. Our results suggest that cell motion can be generated by friction between the flow of this network and the substrate.
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Affiliation(s)
| | - Yuansheng Cao
- Department of PhysicsUniversity of California, San DiegoLa JollaCAUSA
| | - Yuchuan Miao
- Department of Cell BiologySchool of MedicineJohns Hopkins UniversityBaltimoreMDUSA
| | - Alex Groisman
- Department of PhysicsUniversity of California, San DiegoLa JollaCAUSA
| | - Peter N Devreotes
- Department of Cell BiologySchool of MedicineJohns Hopkins UniversityBaltimoreMDUSA
| | - Wouter‐Jan Rappel
- Department of PhysicsUniversity of California, San DiegoLa JollaCAUSA
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6
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He J, Liu Q, Zheng S, Shen R, Wang X, Gao J, Wang Q, Huang J, Ding J. Enlargement, Reduction, and Even Reversal of Relative Migration Speeds of Endothelial and Smooth Muscle Cells on Biomaterials Simply by Adjusting RGD Nanospacing. ACS APPLIED MATERIALS & INTERFACES 2021; 13:42344-42356. [PMID: 34469116 DOI: 10.1021/acsami.1c08559] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Although many tissue regeneration processes after biomaterial implantation are related to migrations of multiple cell types on material surfaces, available tools to adjust relative migration speeds are very limited. Herein, we put forward a nanomaterial strategy to employ surface modification with arginine-glycine-aspartate (RGD) nanoarrays to tune in vitro cell migration using endothelial cells (ECs) and smooth muscle cells (SMCs) as demonstrated cell types. We found that migrations of both cell types exhibited a nonmonotonic trend with the increase of RGD nanospacing, yet with different peaks-74 nm for SMCs but 95 nm for ECs. The varied sensitivities afford a facile way to regulate the relative migration speeds. Although ECs migrated at a speed similar to SMCs on a non-nano surface, the migration of ECs could be controlled to be significantly faster or slower than SMCs simply by adjusting the RGD nanospacing. This study suggests a potential application of surface modification of biomaterials on a nanoscale level.
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Affiliation(s)
- Junhao He
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Qiong Liu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
- Navy Medical Center, The Second Military Medical University, Shanghai 200433, China
| | - Shuang Zheng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Runjia Shen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Xinlei Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Jingming Gao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Qunsong Wang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Jiale Huang
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
| | - Jiandong Ding
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200438, China
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7
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Lawson-Keister E, Manning ML. Jamming and arrest of cell motion in biological tissues. Curr Opin Cell Biol 2021; 72:146-155. [PMID: 34461581 DOI: 10.1016/j.ceb.2021.07.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/07/2021] [Accepted: 07/28/2021] [Indexed: 12/29/2022]
Abstract
Collective cell motility is crucial to many biological processes including morphogenesis, wound healing, and cancer invasion. Recently, the biology and biophysics communities have begun to use the term 'cell jamming' to describe the collective arrest of cell motion in tissues. Although this term is widely used, the underlying mechanisms are varied. In this review, we highlight three independent mechanisms that can potentially drive arrest of cell motion - crowding, tension-driven rigidity, and reduction of fluctuations - and propose a framework that connects all three. Because multiple mechanisms may be operating simultaneously, this emphasizes that experiments should strive to identify which mechanism dominates in a given situation. We also discuss how specific cell-scale and molecular-scale biological processes, such as cell-cell and cell-substrate interactions, control aspects of these underlying physical mechanisms.
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Affiliation(s)
| | - M Lisa Manning
- Department of Physics and BioInspired Institute, Syracuse University, Syracuse, NY 13244, USA.
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8
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Kauanova S, Urazbayev A, Vorobjev I. The Frequent Sampling of Wound Scratch Assay Reveals the "Opportunity" Window for Quantitative Evaluation of Cell Motility-Impeding Drugs. Front Cell Dev Biol 2021; 9:640972. [PMID: 33777948 PMCID: PMC7991799 DOI: 10.3389/fcell.2021.640972] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 02/08/2021] [Indexed: 11/13/2022] Open
Abstract
Wound healing assay performed with automated microscopy is widely used in drug testing, cancer cell analysis, and similar approaches. It is easy to perform, and the results are reproducible. However, it is usually used as a semi-quantitative approach because of inefficient image segmentation in transmitted light microscopy. Recently, several algorithms for wound healing quantification were suggested, but none of them was tested on a large dataset. In the current study, we develop a pipeline allowing to achieve correct segmentation of the wound edges in >95% of pictures and extended statistical data processing to eliminate errors of cell culture artifacts. Using this tool, we collected data on wound healing dynamics of 10 cell lines with 10 min time resolution. We determine that the overall kinetics of wound healing is non-linear; however, all cell lines demonstrate linear wound closure dynamics in a 6-h window between the fifth and 12th hours after scratching. We next analyzed microtubule-inhibiting drugs’, nocodazole, vinorelbine, and Taxol, action on the kinetics of wound healing in the drug concentration-dependent way. Within this time window, the measurements of velocity of the cell edge allow the detection of statistically significant data when changes did not exceed 10–15%. All cell lines show decrease in the wound healing velocity at millimolar concentrations of microtubule inhibitors. However, dose-dependent response was cell line specific and drug specific. Cell motility was completely inhibited (edge velocity decreased 100%), while in others, it decreased only slightly (not more than 50%). Nanomolar doses (10–100 nM) of microtubule inhibitors in some cases even elevated cell motility. We speculate that anti-microtubule drugs might have specific effects on cell motility not related to the inhibition of the dynamic instability of microtubules.
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Affiliation(s)
- Sholpan Kauanova
- School of Science and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Arshat Urazbayev
- National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
| | - Ivan Vorobjev
- School of Science and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan.,National Laboratory Astana, Nazarbayev University, Nur-Sultan, Kazakhstan
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9
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Mathematical modelling in cell migration: tackling biochemistry in changing geometries. Biochem Soc Trans 2021; 48:419-428. [PMID: 32239187 DOI: 10.1042/bst20190311] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 01/18/2023]
Abstract
Directed cell migration poses a rich set of theoretical challenges. Broadly, these are concerned with (1) how cells sense external signal gradients and adapt; (2) how actin polymerisation is localised to drive the leading cell edge and Myosin-II molecular motors retract the cell rear; and (3) how the combined action of cellular forces and cell adhesion results in cell shape changes and net migration. Reaction-diffusion models for biological pattern formation going back to Turing have long been used to explain generic principles of gradient sensing and cell polarisation in simple, static geometries like a circle. In this minireview, we focus on recent research which aims at coupling the biochemistry with cellular mechanics and modelling cell shape changes. In particular, we want to contrast two principal modelling approaches: (1) interface tracking where the cell membrane, interfacing cell interior and exterior, is explicitly represented by a set of moving points in 2D or 3D space and (2) interface capturing. In interface capturing, the membrane is implicitly modelled analogously to a level line in a hilly landscape whose topology changes according to forces acting on the membrane. With the increased availability of high-quality 3D microscopy data of complex cell shapes, such methods will become increasingly important in data-driven, image-based modelling to better understand the mechanochemistry underpinning cell motion.
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10
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Bolle N, Mizuhara MS. Dynamics of a cell motility model near the sharp interface limit. J Theor Biol 2020; 505:110420. [PMID: 32739242 DOI: 10.1016/j.jtbi.2020.110420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/14/2020] [Accepted: 07/20/2020] [Indexed: 10/23/2022]
Abstract
Phase-field models have recently had great success in describing the dynamic morphologies and motility of eukaryotic cells. In this work we investigate the minimal phase-field model introduced in Berlyand et al. (2017). Rigorous analysis of its sharp interface limit dynamics was completed in Mizuhara et al. (2016) and Mizuhara et al. (2019), where it was observed that persistent cell motion was not stable. In this work we numerically study the pre-limiting phase-field model near the sharp interface limit, to better understand this lack of persistent motion. We find that immobile, persistent, and rotating states are all exhibited in this minimal model, and investigate the loss of persistent motion in the sharp interface limit.
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Affiliation(s)
- Nicolas Bolle
- Department of Mathematics and Statistics, The College of New Jersey Ewing Township, NJ, United States.
| | - Matthew S Mizuhara
- Department of Mathematics and Statistics, The College of New Jersey Ewing Township, NJ, United States.
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11
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Promoted migration of fibroblast cells on low aspect ratio isotropic nanopore surface by reduced maturation of focal adhesion at peripheral region. Colloids Surf B Biointerfaces 2020; 195:111229. [DOI: 10.1016/j.colsurfb.2020.111229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/26/2020] [Accepted: 06/29/2020] [Indexed: 01/08/2023]
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12
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Qin B, Fei C, Bridges AA, Mashruwala AA, Stone HA, Wingreen NS, Bassler BL. Cell position fates and collective fountain flow in bacterial biofilms revealed by light-sheet microscopy. Science 2020; 369:71-77. [PMID: 32527924 DOI: 10.1126/science.abb8501] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 05/19/2020] [Indexed: 12/17/2022]
Abstract
Bacterial biofilms represent a basic form of multicellular organization that confers survival advantages to constituent cells. The sequential stages of cell ordering during biofilm development have been studied in the pathogen and model biofilm-former Vibrio cholerae It is unknown how spatial trajectories of individual cells and the collective motions of many cells drive biofilm expansion. We developed dual-view light-sheet microscopy to investigate the dynamics of biofilm development from a founder cell to a mature three-dimensional community. Tracking of individual cells revealed two distinct fates: one set of biofilm cells expanded ballistically outward, while the other became trapped at the substrate. A collective fountain-like flow transported cells to the biofilm front, bypassing members trapped at the substrate and facilitating lateral biofilm expansion. This collective flow pattern was quantitatively captured by a continuum model of biofilm growth against substrate friction. Coordinated cell movement required the matrix protein RbmA, without which cells expanded erratically. Thus, tracking cell lineages and trajectories in space and time revealed how multicellular structures form from a single founder cell.
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Affiliation(s)
- Boyang Qin
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.,Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA
| | - Chenyi Fei
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.,Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Andrew A Bridges
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.,The Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Ameya A Mashruwala
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.,The Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Howard A Stone
- Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA
| | - Ned S Wingreen
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.,Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.,Princeton Center for Theoretical Science, Princeton University, Princeton, NJ 08544, USA
| | - Bonnie L Bassler
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA. .,The Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
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13
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Mai MH, Camley BA. Hydrodynamic effects on the motility of crawling eukaryotic cells. SOFT MATTER 2020; 16:1349-1358. [PMID: 31934705 DOI: 10.1039/c9sm01797f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Eukaryotic cell motility is crucial during development, wound healing, the immune response, and cancer metastasis. Some eukaryotic cells can swim, but cells more commonly adhere to and crawl along the extracellular matrix. We study the relationship between hydrodynamics and adhesion that describe whether a cell is swimming, crawling, or combining these motions. Our simple model of a cell, based on the three-sphere swimmer, is capable of both swimming and crawling. As cell-matrix adhesion strength increases, the influence of hydrodynamics on migration diminishes. Cells with significant adhesion can crawl with speeds much larger than their nonadherent, swimming counterparts. We predict that, while most eukaryotic cells are in the strong-adhesion limit, increasing environment viscosity or decreasing cell-matrix adhesion could lead to significant hydrodynamic effects even in crawling cells. Signatures of hydrodynamic effects include a dependence of cell speed on the presence of a nearby substrate or interactions between noncontacting cells. These signatures will be suppressed at large adhesion strengths, but even strongly adherent cells will generate relevant fluid flows that will advect nearby passive particles and swimmers.
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Affiliation(s)
- Melissa H Mai
- Department of Biophysics, Johns Hopkins University, Baltimore, Maryland, USA
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14
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Cao Y, Ghabache E, Miao Y, Niman C, Hakozaki H, Reck-Peterson SL, Devreotes PN, Rappel WJ. A minimal computational model for three-dimensional cell migration. J R Soc Interface 2019; 16:20190619. [PMID: 31847757 DOI: 10.1098/rsif.2019.0619] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
During migration, eukaryotic cells can continuously change their three-dimensional morphology, resulting in a highly dynamic and complex process. Further complicating this process is the observation that the same cell type can rapidly switch between different modes of migration. Modelling this complexity necessitates models that are able to track deforming membranes and that can capture the intracellular dynamics responsible for changes in migration modes. Here we develop an efficient three-dimensional computational model for cell migration, which couples cell mechanics to a simple intracellular activator-inhibitor signalling system. We compare the computational results to quantitative experiments using the social amoeba Dictyostelium discoideum. The model can reproduce the observed migration modes generated by varying either mechanical or biochemical model parameters and suggests a coupling between the substrate and the biomechanics of the cell.
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Affiliation(s)
- Yuansheng Cao
- Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Elisabeth Ghabache
- Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA
| | - Yuchuan Miao
- Department of Biological Chemistry, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Cassandra Niman
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Hiroyuki Hakozaki
- National Center for Microscopy and Imaging Research, University of California, San Diego, La Jolla, CA 92093, USA
| | - Samara L Reck-Peterson
- Department of Cellular and Molecular Medicine, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Peter N Devreotes
- Department of Cell Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Wouter-Jan Rappel
- Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA
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15
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Iwasa M. A mechanical toy model linking cell-substrate adhesion to multiple cellular migratory responses. J Biol Phys 2019; 45:401-421. [PMID: 31834551 DOI: 10.1007/s10867-019-09536-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 11/27/2019] [Indexed: 10/25/2022] Open
Abstract
During cell migration, forces applied to a cell from its environment influence the motion. When the cell is placed on a substrate, such a force is provided by the cell-substrate adhesion. Modulation of adhesivity, often performed by the modulation of the substrate stiffness, tends to cause common responses for cell spreading, cell speed, persistence, and random motility coefficient. Although the reasons for the response of cell spreading and cell speed have been suggested, other responses are not well understood. In this study, we develop a simple toy model for cell migration driven by the relation of two forces: the adhesive force and the plasma membrane tension. The simplicity of the model allows us to perform the calculation not only numerically but also analytically, and the analysis provides formulas directly relating the adhesivity to cell spreading, persistence, and the random motility coefficient. Accordingly, the results offer a unified picture on the causal relations between those multiple cellular responses. In addition, cellular properties that would influence the migratory behavior are suggested.
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Affiliation(s)
- Masatomo Iwasa
- Center for General Education, Aichi Institute of Technology, Toyota, 470-0392, Japan.
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16
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Cao Y, Ghabache E, Rappel WJ. Plasticity of cell migration resulting from mechanochemical coupling. eLife 2019; 8:e48478. [PMID: 31625907 PMCID: PMC6799977 DOI: 10.7554/elife.48478] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 10/02/2019] [Indexed: 01/07/2023] Open
Abstract
Eukaryotic cells can migrate using different modes, ranging from amoeboid-like, during which actin filled protrusions come and go, to keratocyte-like, characterized by a stable morphology and persistent motion. How cells can switch between these modes is not well understood but waves of signaling events are thought to play an important role in these transitions. Here we present a simple two-component biochemical reaction-diffusion model based on relaxation oscillators and couple this to a model for the mechanics of cell deformations. Different migration modes, including amoeboid-like and keratocyte-like, naturally emerge through transitions determined by interactions between biochemical traveling waves, cell mechanics and morphology. The model predictions are explicitly verified by systematically reducing the protrusive force of the actin network in experiments using Dictyostelium discoideum cells. Our results indicate the importance of coupling signaling events to cell mechanics and morphology and may be applicable in a wide variety of cell motility systems.
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Affiliation(s)
- Yuansheng Cao
- Department of PhysicsUniversity of California, San DiegoLa JollaUnited States
| | - Elisabeth Ghabache
- Department of PhysicsUniversity of California, San DiegoLa JollaUnited States
| | - Wouter-Jan Rappel
- Department of PhysicsUniversity of California, San DiegoLa JollaUnited States
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17
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Thapa S, Lukat N, Selhuber-Unkel C, Cherstvy AG, Metzler R. Transient superdiffusion of polydisperse vacuoles in highly motile amoeboid cells. J Chem Phys 2019; 150:144901. [PMID: 30981236 DOI: 10.1063/1.5086269] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Affiliation(s)
- Samudrajit Thapa
- Institute for Physics and Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany
| | - Nils Lukat
- Institute of Materials Science, Christian-Albrechts-Universität zu Kiel, 24143 Kiel, Germany
| | | | - Andrey G. Cherstvy
- Institute for Physics and Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany
| | - Ralf Metzler
- Institute for Physics and Astronomy, University of Potsdam, 14476 Potsdam-Golm, Germany
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