The Biophysics of Cell Migration: Biasing Cell Motion with Feynman Ratchets

Caballero, David; Kundu, Subhas C.; Reis, Rui L.

doi:10.35459/tbp.2020.000150

Cited by 10 publications

(4 citation statements)

References 51 publications

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“…In this review, we only mention these additional modes of motion in passing. Again, we refer readers interested in this topic to excellent reviews written elsewhere ( Purcell, 1977 ; Lauga and Powers, 2009 ; Caballero et al, 2020 ).…”

Section: Single Cell Migration In 2d Vs 3dmentioning

confidence: 99%

Moving through a changing world: Single cell migration in 2D vs. 3D

Pawluchin

Galic

2022

Front. Cell Dev. Biol.

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Migration of single adherent cells is frequently observed in the developing and adult organism and has been the subject of many studies. Yet, while elegant work has elucidated molecular and mechanical cues affecting motion dynamics on a flat surface, it remains less clear how cells migrate in a 3D setting. In this review, we explore the changing parameters encountered by cells navigating through a 3D microenvironment compared to cells crawling on top of a 2D surface, and how these differences alter subcellular structures required for propulsion. We further discuss how such changes at the micro-scale impact motion pattern at the macro-scale.

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Section: Single Cell Migration In 2d Vs 3dmentioning

confidence: 99%

Moving through a changing world: Single cell migration in 2D vs. 3D

Pawluchin

Galic

2022

Front. Cell Dev. Biol.

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“…Inertia is unlikely to explain persistence given the extremely low Reynolds numbers of biological tissues ( Hakim and Silberzan, 2017 ). Instead, we speculate that directionality is driven by a ‘leaky’ ratchet mechanism that allows persistence despite wobbling ( Caballero et al, 2020 ). Under this scenario, persistently directional rotations will emerge by spontaneous self-generating reciprocity between cells in physical confinement.…”

Section: Discussionmentioning

confidence: 99%

Quantitative videomicroscopy reveals latent control of cell-pair rotations in vivo

et al. 2023

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Collective cell rotations are widely used during animal organogenesis. Theoretical and in vitro studies have conceptualized rotating cells as identical rigid-point objects that stochastically break symmetry to move monotonously and perpetually within an inert environment. However, it is unclear if this notion can be extrapolated to a natural context, where rotations are ephemeral and heterogeneous cellular cohorts interact with an active epithelium. In zebrafish neuromasts nascent sibling hair cells invert positions by rotating≤180° around their geometric center after acquiring different identities via Notch1a-mediated asymmetric repression of Emx2. Here we show that this multicellular rotation is a three-phasic movement that progresses via coherent homotypic coupling and heterotypic junction remodeling. We found no correlation between rotations and epithelium-wide cellular flow or anisotropic resistive forces. Moreover, the Notch/Emx2 status of the cell dyad does not determine asymmetric interactions with the surrounding epithelium. Aided by computer modeling, we suggest that initial stochastic inhomogeneities generate a metastable state that poises cells to move, spontaneous intercellular coordination of the resulting instabilities enables persistently directional rotations, whereas Notch1a-determined symmetry breaking buffers rotational noise.

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“…The ratchet model proposed by Feynman has been used as an inspiration for the study of a significant number of theoretical and experimental works on Brownian motors and other devices [1][2][3][4][5][6][7][8][9][10][11][12][13][14] like the stochastic heat engines in the construction of microscopic devices.…”

Section: Introductionmentioning

confidence: 99%

Carnot, Stirling, Ericsson stochastic heat engines: Efficiency at maximum power

O.¹,

Sánchez-Salas²,

Valencia-Ortega³

et al. 2022

Preprint

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This work obtains the efficiency at maximum power for a stochastic heat engine performing Carnot-like, Stirling-like and Ericsson-like cycles. For the mesoscopic engine a Brownian particle trapped by an optical tweezers is considered. The dynamics of this stochastic engine is described as an overdamped Langevin equation with a harmonic potential, whereas is in contact with two thermal baths at different temperatures, namely, hot (T h ) and cold (T c ). The harmonic oscillator Langevin equation is transformed into a macroscopic equation associated with the mean value x 2 (t) using the original Langevin approach. At equilibrium stationary state this quantity satisfies a state-like equation from which the thermodynamic properties are calculated. To obtained the efficiency at maximum power it is considered the finite-time cycle processes under the framework of low dissipation approach.

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The Biophysics of Cell Migration: Biasing Cell Motion with Feynman Ratchets

Cited by 10 publications

References 51 publications

Moving through a changing world: Single cell migration in 2D vs. 3D

Moving through a changing world: Single cell migration in 2D vs. 3D

Quantitative videomicroscopy reveals latent control of cell-pair rotations in vivo

Carnot, Stirling, Ericsson stochastic heat engines: Efficiency at maximum power

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