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Open access Cellular systems

Cellular automaton modelling of platelet aggregation

Grigory Vasilev1
Grigory Vasilev
Grigory Vasilev
1
Lomonosov Moscow State University, Physics Faculty 119991, Leninskiye Gory 1-2, Moscow, Russia
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,
Andrei Garzon Dasgupta2
Andrei Garzon Dasgupta
Andrei Garzon Dasgupta
Сorrespondence:[email protected]
2
Dmitriy Rogachev National Medical Research Center of Pediatric Hematology, Oncology Immunology Ministry of Healthcare of Russian Federation, 117997, Samory Machela 1, Moscow Russia
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,
Leonid Yakovenko1
Leonid Yakovenko
Leonid Yakovenko
1
Lomonosov Moscow State University, Physics Faculty 119991, Leninskiye Gory 1-2, Moscow, Russia
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1.
Lomonosov Moscow State University, Physics Faculty 119991, Leninskiye Gory 1-2, Moscow, Russia
2.
Dmitriy Rogachev National Medical Research Center of Pediatric Hematology, Oncology Immunology Ministry of Healthcare of Russian Federation, 117997, Samory Machela 1, Moscow Russia

References of this article:

  1. The growing complexity of platelet aggregation

    S. Jackson

    Blood. 2007, 109, 5087-5095

    https://doi.org/10.1182/blood-2006-12-027698

    Article|Google Scholar

  2. Physiological Positive Feedback Mechanisms

    K. A. Abdel-Sater

    American Journal of Biomedical Sciences. 2011, , 145-155

    https://doi.org/10.5099/aj110200145

    Article|Google Scholar

  3. Aggregation of Blood Platelets by Adenosine Diphosphate and its Reversal

    G. BORN

    Nature. 1962, 194, 927-929

    https://doi.org/10.1038/194927b0

    Article|Google Scholar

  4. Activation of Platelet Function Through G Protein–Coupled Receptors

    S. Offermanns

    Circulation Research. 2006, 99, 1293-1304

    https://doi.org/10.1161/01.RES.0000251742.71301.16

    Article|Google Scholar

  5. The roles of αIIbβ3-mediated outside-in signal transduction, thromboxane A2, and adenosine diphosphate in collagen-induced platelet aggregation

    M. Cho, J. Liu, T. Pestina, S. Steward, D. Thomas, T. Coffman, D. Wang, C. Jackson, T. Gartner

    Blood. 2003, 101, 2646-2651

    https://doi.org/10.1182/blood-2002-05-1363

    Article|Google Scholar

  6. Population Balance Modeling of Antibodies Aggregation Kinetics

    P. Arosio, S. Rima, M. Lattuada, M. Morbidelli

    The Journal of Physical Chemistry B. 2012, 116, 7066-7075

    https://doi.org/10.1021/jp301091n

    Article|Google Scholar

  7. Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome

    S. Fornari, A. Schäfer, E. Kuhl, A. Goriely

    Journal of Theoretical Biology. 2020, 486, 110102

    https://doi.org/10.1016/j.jtbi.2019.110102

    Article|Google Scholar

  8. Models of Solute Aggregation Using Cellular Automata

    L. Kier, C. Cheng, J. Nelson

    Chemistry & Biodiversity. 2009, 6, 396-401

    https://doi.org/10.1002/cbdv.200800285

    Article|Google Scholar

  9. Aggregation kinetics in salt-induced protein precipitation

    T. Przybycien, J. Bailey

    AIChE Journal. 1989, 35, 1779-1790

    https://doi.org/10.1002/aic.690351104

    Article|Google Scholar

  10. Toward a Mathematical Model of the Assembly and Disassembly of Membrane Microdomains: Comparison with Experimental Models

    G. Richardson, L. Cummings, H. Harris, P. O’Shea

    Biophysical Journal. 2007, 92, 4145-4156

    https://doi.org/10.1529/biophysj.106.090233

    Article|Google Scholar

  11. Development of a Simple Kinetic Mathematical Model of Aggregation of Particles or Clustering of Receptors

    A. Garzon Dasgupta, A. Martyanov, A. Filkova, M. Panteleev, A. Sveshnikova

    Life. 2020, 10, 97

    https://doi.org/10.3390/life10060097

    Article|Google Scholar

  12. Aggregation dynamics of active cells on non-adhesive substrate

    D. Mukhopadhyay and R. De

    Physical Biology. 2019, ,

    https://doi.org/10.1088/1478-3975/ab1e76

    Article|Google Scholar

  13. synchronous adaptive time step in quantitative cellular automata modeling

    H. Zhu, P. Y. Pang, Y. Sun, and P. Dhar

    BMC Bioinformatics. 2004, 5, 85

    https://doi.org/10.1186/1471-2105-5-85

    Article|Google Scholar

  14. Self-Organized Periodicity of Protein Clusters in Growing Bacteria

    H. Wang, N. Wingreen, R. Mukhopadhyay

    Physical Review Letters. 2008, 101, 218101

    https://doi.org/10.1103/PhysRevLett.101.218101

    Article|Google Scholar

  15. Lattice Boltzmann Simulations of Blood Flow: Non-Newtonian Rheology and Clotting Processes

    R. Ouared, B. Chopard

    Journal of Statistical Physics. 2005, 121, 209-221

    https://doi.org/10.1007/s10955-005-8415-x

    Article|Google Scholar

  16. Physics-like models of computation

    N. Margolus

    Physica D: Nonlinear Phenomena. 1984, 10, 81-95

    https://doi.org/10.1016/0167-2789(84)90252-5

    Article|Google Scholar

  17. Platelet aggregation: The use of optical density fluctuations to study microaggregate formation in platelet suspension

    Z. Gabbasov, E. Popov, I. Gavrilov, E. Pozin

    Thrombosis Research. 1989, 54, 215-223

    https://doi.org/10.1016/0049-3848(89)90229-6

    Article|Google Scholar

  18. Quantitative dynamics of reversible platelet aggregation: mathematical modelling and experiments

    A. Filkova, A. Martyanov, A. Garzon Dasgupta, M. Panteleev, A. Sveshnikova

    Scientific Reports. 2019, 9,

    https://doi.org/10.1038/s41598-019-42701-0

    Article|Google Scholar

  19. Platelet Aggregometry Testing: Molecular Mechanisms, Techniques and Clinical Implications

    K. Koltai, G. Kesmarky, G. Feher, A. Tibold, K. Toth

    International Journal of Molecular Sciences. 2017, 18, 1803

    https://doi.org/10.3390/ijms18081803

    Article|Google Scholar

  20. Platelet Diffusion in Flowing Blood

    V. Turitto, A. Benis, E. Leonard

    Industrial & Engineering Chemistry Fundamentals. 1972, 11, 216-223

    https://doi.org/10.1021/i160042a012

    Article|Google Scholar

  21. Platelet aggregation by laminar shear and Brownian motion

    H. Chang, C. Robertson

    Annals of Biomedical Engineering. 1976, 4, 151-183

    https://doi.org/10.1007/BF02363645

    Article|Google Scholar