Microrheology, advances in methods and insights

Xia, Qiuyang; Xiao, Huining; Pan, Yuanfeng; Wang, Li Dong

doi:10.1016/j.cis.2018.04.008

Cited by 28 publications

(18 citation statements)

References 148 publications

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“…The viscoelastic material properties can be derived from the fluctuations of the passive particles. Such measurements reveal the shear modulus, which describes the response to an externally applied force and which can be decomposed into an elastic modulus and viscous modulus (Xia et al, 2018). In one approach micrometre-sized beads were injected in early Drosophila embryos.…”

Section: The Cytoskeletal Morphology Determines the Cellular Biophysical Propertiesmentioning

confidence: 99%

Cytoskeletal mechanics and dynamics in the Drosophila syncytial embryo

de-Carvalho

Telley

et al. 2021

Journal of Cell Science

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Cell and tissue functions rely on the genetic programmes and cascades of biochemical signals. It has become evident during the past decade that the physical properties of soft material that govern the mechanics of cells and tissues play an important role in cellular function and morphology. The biophysical properties of cells and tissues are determined by the cytoskeleton, consisting of dynamic networks of F-actin and microtubules, molecular motors, crosslinkers and other associated proteins, among other factors such as cell–cell interactions. The Drosophila syncytial embryo represents a simple pseudo-tissue, with its nuclei orderly embedded in a structured cytoskeletal matrix at the embryonic cortex with no physical separation by cellular membranes. Here, we review the stereotypic dynamics and regulation of the cytoskeleton in Drosophila syncytial embryos and how cytoskeletal dynamics underlies biophysical properties and the emergence of collective features. We highlight the specific features and processes of syncytial embryos and discuss the applicability of biophysical approaches.

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Section: The Cytoskeletal Morphology Determines the Cellular Biophysical Propertiesmentioning

confidence: 99%

Cytoskeletal mechanics and dynamics in the Drosophila syncytial embryo

de-Carvalho

Telley

et al. 2021

Journal of Cell Science

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“…[13,36,49,51,53] To quantify subcellular mechanics, passive and active particle-tracking microrheology (PTM) is commonly used, where the so-called tracer particles, which can vary in size, are injected into the cell, and their motion is then followed by an optical microscope. In passive PTM, the particles' dynamics are exclusively driven by thermal fluctuations, while in active PTM, an additional external (oscillating) magnetic force is applied to drive the particles' movement [57,58]. Active PTM is well suited for rigid materials, where the purely thermal motion of the particles would be too small to detect [57].…”

Section: Figure 1 (A)mentioning

confidence: 99%

“…In passive PTM, the particles' dynamics are exclusively driven by thermal fluctuations, while in active PTM, an additional external (oscillating) magnetic force is applied to drive the particles' movement [57,58]. Active PTM is well suited for rigid materials, where the purely thermal motion of the particles would be too small to detect [57]. What makes PTM a particularly attractive method is that it is the only well-established technique that allows the quantification of mechanical force within living cells.…”

Section: Figure 1 (A)mentioning

confidence: 99%

Quantitative Methodologies to Dissect Immune Cell Mechanobiology

Pfannenstill

Barbotin

Colin‐York

et al. 2021

Cells

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Mechanobiology seeks to understand how cells integrate their biomechanics into their function and behavior. Unravelling the mechanisms underlying these mechanobiological processes is particularly important for immune cells in the context of the dynamic and complex tissue microenvironment. However, it remains largely unknown how cellular mechanical force generation and mechanical properties are regulated and integrated by immune cells, primarily due to a profound lack of technologies with sufficient sensitivity to quantify immune cell mechanics. In this review, we discuss the biological significance of mechanics for immune cells across length and time scales, and highlight several experimental methodologies for quantifying the mechanics of immune cells. Finally, we discuss the importance of quantifying the appropriate mechanical readout to accelerate insights into the mechanobiology of the immune response.

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“…A colloidal particle undergoing Brownian motion presents deviations from pure diffusion when such a particle interacts with an external potential or when it moves in a crowded environment. Some examples of crowded environments that affects colloidal motion include the colloidal motion of proteins or organelles in the interior of a cell [1][2][3], the motion of a tracer particle in complex fluids [4][5][6][7][8][9] and colloidal motion near the glass transition [10,11]. On the other hand, examples of external fields that affect Brownian motion are electric and magnetic fields [12], gravitational forces [13][14][15] and optical manipulation induced by light [16,17].…”

Section: Introductionmentioning

confidence: 99%

“…As a result, each time regime is related to a particular length scale. The dynamics of a colloidal tracer provides useful information about the concentration of other colloidal macromolecules, the degree of coupling between the tracer and an applied external field, as well as the competition between the energy associated to the external potential and the thermal energy [4,10,17,22].…”

Section: Introductionmentioning

confidence: 99%

On the Time Transition Between Short- and Long-Time Regimes of Colloidal Particles in External Periodic Potentials

et al. 2021

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The dynamics of colloidal particles at infinite dilution, under the influence of periodic external potentials, is studied here via experiments and numerical simulations for two representative potentials. From the experimental side, we analyzed the motion of a colloidal tracer in a one-dimensional array of fringes produced by the interference of two coherent laser beams, providing in this way an harmonic potential. The numerical analysis has been performed via Brownian dynamics (BD) simulations. The BD simulations correctly reproduced the experimental position- and time-dependent density of probability of the colloidal tracer in the short-times regime. The long-time diffusion coefficient has been obtained from the corresponding numerical mean square displacement (MSD). Similarly, a simulation of a random walker in a one dimensional array of adjacent cages with a probability of escaping from one cage to the next cage is one of the most simple models of a periodic potential, displaying two diffusive regimes separated by a dynamical caging period. The main result of this study is the observation that, in both potentials, it is seen that the critical time t*, defined as the specific time at which a change of curvature in the MSD is observed, remains approximately constant as a function of the height barrier U0 of the harmonic potential or the associated escape probability of the random walker. In order to understand this behavior, histograms of the first passage time of the tracer have been calculated for several height barriers U0 or escape probabilities. These histograms display a maximum at the most likely first passage time t′, which is approximately independent of the height barrier U0, or the associated escape probability, and it is located very close to the critical time t*. This behavior suggests that the critical time t*, defining the crossover between short- and long-time regimes, can be identified as the most likely first passage time t′ as a first approximation.

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Microrheology, advances in methods and insights

Cited by 28 publications

References 148 publications

Cytoskeletal mechanics and dynamics in the Drosophila syncytial embryo

Cytoskeletal mechanics and dynamics in the Drosophila syncytial embryo

Quantitative Methodologies to Dissect Immune Cell Mechanobiology

On the Time Transition Between Short- and Long-Time Regimes of Colloidal Particles in External Periodic Potentials

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