"active" drops as phantom models for living cells: A mesoscopic particle-based approach

被引:2
|
作者
Dallavalle M. [1 ]
Lugli F. [1 ]
Rapino S. [1 ]
Zerbetto F. [1 ]
机构
[1] Dipartimento di Chimica G. Ciamician, Università di Bologna, V. F. Selmi 2, Bologna
来源
Soft Matter | 2016年 / 12卷 / 15期
关键词
D O I
10.1039/c5sm02686e
中图分类号
学科分类号
摘要
Drops and biological cells share some morphological features and visco-elastic properties. The modelling of drops by mesoscopic non-atomistic models has been carried out to a high degree of success in recent years. We extend such treatment and discuss a simple, drop-like model to describe the interactions of the outer layer of cells with the surfaces of materials. Cells are treated as active mechanical objects that are able to generate adhesion forces. They appear with their true size and are made of "parcels of fluids" or beads. The beads are described by (very) few quantities/parameters related to fundamental chemical forces such as hydrophilicity and lipophilicity that represent an average of the properties of a patch of material or an area of the cell(s) surface. The investigation of adhesion dynamics, motion of individual cells, and the collective behavior of clusters of cells on materials is possible. In the simulations, the drops become active soft matter objects and different from regular droplets they do not fuse when in contact, their trajectories are not Brownian, and they can be forced "to secrete" molecules, to name some of the properties targeted by the modeling. The behavior that emerges from the simulations allows ascribing some cell properties to their mechanics, which are related to their biological features. © The Royal Society of Chemistry 2016.
引用
收藏
页码:3538 / 3544
页数:6
相关论文
共 50 条
  • [1] Active nematic liquid crystals simulated by particle-based mesoscopic methods
    Macias-Duran, Jesus
    Duarte-Alaniz, Victor
    Hijar, Humberto
    SOFT MATTER, 2023, 19 (42) : 8052 - 8069
  • [2] Dynamics of polymers in a particle-based mesoscopic solvent
    Mussawisade, K
    Ripoll, M
    Winkler, RG
    Gompper, G
    JOURNAL OF CHEMICAL PHYSICS, 2005, 123 (14):
  • [3] Assessment of mesoscopic particle-based methods in microfluidic geometries
    Zhao, Tongyang
    Wang, Xiaogong
    Jiang, Lei
    Larson, Ronald G.
    JOURNAL OF CHEMICAL PHYSICS, 2013, 139 (08):
  • [4] Particle-based membrane model for mesoscopic simulation of cellular dynamics
    Sadeghi, Mohsen
    Weikl, Thomas R.
    Noe, Frank
    JOURNAL OF CHEMICAL PHYSICS, 2018, 148 (04):
  • [5] INCORPORATING ACTIVE TRANSPORT OF CELLULAR CARGO IN STOCHASTIC MESOSCOPIC MODELS OF LIVING CELLS
    Hellander, Andreas
    Lotstedt, Per
    MULTISCALE MODELING & SIMULATION, 2010, 8 (05): : 1691 - 1714
  • [6] From solids to particle-based models
    Bordegoni, M
    Cilloni, C
    De Angelis, F
    FROM GEOMETRIC MODELING TO SHAPE MODELING, 2002, 80 : 223 - 235
  • [7] CALIBRATION OF PARTICLE-BASED MODELS USING CELLS WITH PERIODIC BOUNDARY CONDITIONS
    Stransky, Jan
    Jirasek, Milan
    PARTICLE-BASED METHODS II: FUNDAMENTALS AND APPLICATIONS, 2011, : 274 - 285
  • [8] Facing the Design Challenges of Particle-Based Nanosensors for Metabolite Quantification in Living Cells
    Sondergaard, Rikke V.
    Christensen, Nynne M.
    Henriksen, Jonas R.
    Kumar, E. K. Pramod
    Almdal, Kristoffer
    Andresen, Thomas L.
    CHEMICAL REVIEWS, 2015, 115 (16) : 8344 - 8378
  • [9] Particle-based mesoscopic model for phase separation in a binary fluid mixture
    Jaiswal, Surabhi
    Sahoo, Soudamini
    Thakur, Snigdha
    PHYSICAL REVIEW E, 2023, 107 (05)
  • [10] Interactive Particle-based Simulation of Sociophysics Models
    Sabou, Adrian
    Gorgan, Dorian
    Peter, Ioan Radu
    2014 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2014, : 411 - 416