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The rheology of biological tissue plays an important role in many processes, from organ formation to cancer invasion. Here, we use a multi-phase field model of motile cells to simulate active microrheology within a tissue monolayer. When…

Soft Condensed Matter · Physics 2022-10-12 Austin Hopkins , Michael Chiang , Benjamin Loewe , Davide Marenduzzo , M. Cristina Marchetti

The elastic moduli of tissues are connected to their states of health and function. The epithelial monolayer is a simple, minimal, tissue model that is often used to gain understanding of mechanical behavior at the cellular or…

Soft Condensed Matter · Physics 2024-12-13 Steven J. Chisolm , Emily Guo , Vignesh Subramaniam , Kyle D. Schulze , Thomas E. Angelini

The ability of a cancer cell population to achieve heterogeneity in their phenotype distributions offers advantages in tumor invasiveness and drug resistance. Studying the mechanisms behind such observed heterogeneity in mammalian cells…

Cell Behavior · Quantitative Biology 2024-08-20 Simone Scalise , Giorgio Gosti , Giancarlo Ruocco , Giovanna Peruzzi , Mattia Miotto

Effects of mechanical stress on the permeability of vascular endothelium are important to normal physiology and may be critical in the development of atherosclerosis, where they can account for the patchy arterial distribution of the…

Tissues and Organs · Quantitative Biology 2023-03-03 Stephen G Gray , Peter D Weinberg

The disruption of protein structures by denaturants like urea is well studied, though its molecular mechanisms remain unclear. Using Molecular Dynamics (MD) simulations, we investigated how urea affects the structural stability of Bovine…

Biological Physics · Physics 2025-07-24 Y. Ricardo Espinosa , C. Manuel Carlevaro , C. Gastón Ferrara

In the present work, we conducted mechanical characterization of the membrane of human serum albumin (HSA) microcapsules using the electrodeformation technique which shows that HSA capsules are strain-softening in nature. The…

Soft Condensed Matter · Physics 2022-08-09 Sneha Puri , Rochish M. Thaokar

The rheology of biological tissue is key to processes such as embryo development, wound healing and cancer metastasis. Vertex models of confluent tissue monolayers have uncovered a spontaneous liquid-solid transition tuned by cell shape;…

Soft Condensed Matter · Physics 2023-10-02 Suzanne M. Fielding , James O. Cochran , Junxiang Huang , Dapeng Bi , M. Cristina Marchetti

Maintenance of epidermal thickness is critical to the barrier function of the skin. Decreased tissue thickness, specifically in the stratum corneum (the outermost layer of the tissue), causes discomfort and inflammation, and is related to…

Tissues and Organs · Quantitative Biology 2022-09-13 Claire Miller , Edmund Crampin , James Osborne

Several surfactant molecules self-assemble in solution to form long, flexible wormlike micelles which get entangled with each other, leading to viscoelastic gel phases. We discuss our recent work on the rheology of such a gel formed in the…

Soft Condensed Matter · Physics 2009-10-31 Ranjini Bandyopadhyay , A. K. Sood

This paper is devoted to studies of the mechanical deformation of the S. aureus cell wall. The bacterium is modelled as a thin elastic membrane containing cytoplasm, which is treated as an incompressible fluid. Deformation occurs via Van…

Biological Physics · Physics 2026-04-17 Taras Vasyliev , Saulius Juodkazis , Valeri Lozovski

We study theoretically the role of ageing in the rheology of soft materials. We define several generalized rheological response functions suited to ageing samples (in which time translation invariance is lost). These are then used to study…

Soft Condensed Matter · Physics 2007-05-23 S. M. Fielding , P. Sollich , M. E. Cates

We study the shearing rheology of dense suspensions of elastic capsules, taking aggregation-free red blood cells as a physiologically relevant example. Particles are non-Brownian and interact only via hydrodynamics and short-range repulsive…

Soft Condensed Matter · Physics 2014-05-08 Markus Gross , Timm Krueger , Fathollah Varnik

We perform a bidimensional Stokes experiment in an active cellular material: an autonomously migrating monolayer of Madin-Darby Canine Kidney (MDCK) epithelial cells flows around a circular obstacle within a long and narrow channel,…

Tissues and Organs · Quantitative Biology 2020-08-26 S. Tlili , M. Durande , C. Gay , B. Ladoux , F. Graner , H. Delanoë-Ayari

Simulations of the magnetorotational instability (MRI) in a homogeneous shearing box have shown that the asymptotic strength of the magnetic field declines steeply with increasing resolution. Here I model the MRI driven dynamo as a large…

High Energy Astrophysical Phenomena · Physics 2011-02-11 Ethan T. Vishniac

Cytoplasmic viscoelasticity is crucial for various intracellular processes. However, the dynamic shear modulus, $G(\omega)$, has been reported to vary considerably, often without consistent patterns or rules, even within the same cell.…

Biological Physics · Physics 2025-04-29 H. Ebata , K. Nishizawa , F. A. S. van Esterik , Y. Tao , S. Inokuchi , H. Ise , D. Mizuno

Cell extravasation is a crucial step of the metastatic cascade. In this process, the circulating tumor cells inside the blood vessels adhere to the cell monolayer of the blood vessel wall and passes through it, which allows them to invade…

Tissues and Organs · Quantitative Biology 2019-12-02 A. Nieto , J. Escribano , F. Spill , J. M. Garcia-Aznar , M. J. Gomez-Benito

We report surface shear rheological measurements on dense insoluble monolayers of micron sized colloidal spheres at the oil/water interface and of the protein $\beta$-lactoglobulin at the air/water surface. As expected, the elastic modulus…

Soft Condensed Matter · Physics 2009-11-10 Pietro Cicuta , Edward J. Stancik , Gerald G. Fuller

We use a three-dimensional formulation of the cell vertex model to describe the mechanical properties of a confluent planar monolayer of prismatic cells. Treating cell height as a degree of freedom, we reduce the model to a two-dimensional…

Biological Physics · Physics 2025-08-29 Natasha Cowley , Sarah Woolner , Oliver E. Jensen

Self-supervised deep learning methods have leveraged stereo images for training monocular depth estimation. Although these methods show strong results on outdoor datasets such as KITTI, they do not match performance of supervised methods on…

Computer Vision and Pattern Recognition · Computer Science 2021-06-28 Benjamin Keltjens , Tom van Dijk , Guido de Croon

Cellular nutrient consumption is influenced by both the nutrient uptake kinetics of an individual cell and the cells' spatial arrangement. Large cell clusters or colonies have inhibited growth at the cluster's center due to the shielding of…

Biological Physics · Physics 2013-06-14 Maxim O. Lavrentovich , John H. Koschwanez , David R. Nelson
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