Anna Zhigun

Anna Zhigun

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 November 2016 in Zeitschrift für angewandte Mathematik und Physik
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AZAnna Zhigun
Anna Zhigun
CSChristina Surulescu
Christina Surulescu
AUAydar Uatay
Aydar Uatay

21 February 2018 in Mathematical Methods in the Applied Sciences
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AZAnna Zhigun
Anna Zhigun
CSChristina Surulescu
Christina Surulescu
AHAlexander Hunt
Alexander Hunt

17 October 2020 in Journal of Mathematical Biology
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MEMaria Eckardt
Maria Eckardt
KPKevin J. Painter
Kevin J. Painter
CSChristina Surulescu
Christina Surulescu
AZAnna Zhigun
Anna Zhigun
A rigorous limit procedure is presented which links nonlocal models involving adhesion or nonlocal chemotaxis to their local counterparts featuring haptotaxis and classical chemotaxis, respectively. It relies on a novel reformulation of the involved nonlocalities in terms of integral operators applied directly to the gradients of signal-dependent quantities. The proposed approach handles both model types in a unified way and extends the previous mathematical framework to settings that allow for general solution-dependent coefficient functions. The previous forms of nonlocal operators are compared with the new ones introduced in this paper and the advantages of the latter are highlighted by concrete examples. Numerical simulations in 1D provide an illustration of some of the theoretical findings.

2 August 2018 in Journal of Mathematical Analysis and Applications
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AZAnna Zhigun
Anna Zhigun

13 January 2022 in SIAM Journal on Applied Mathematics
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AZAnna Zhigun
Anna Zhigun
CSChristina Surulescu
Christina Surulescu
In this work we upscale a prototypical kinetic equation model for a cell population moving in a fibrous environment with a chemo- or haptotactic signal influencing both the direction and the magnit...

3 April 2024 in Journal of Mathematical Biology
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AZAnna Zhigun
Anna Zhigun
MRMabel Lizzy Rajendran
Mabel Lizzy Rajendran
Cell-cell adhesion plays a vital role in the development and maintenance of multicellular organisms. One of its functions is regulation of cell migration, such as occurs, e.g. during embryogenesis or in cancer. In this work, we develop a versatile multiscale approach to modelling a moving self-adhesive cell population that combines a careful microscopic description of a deterministic adhesion-driven motion component with an efficient mesoscopic representation of a stochastic velocity-jump process. This approach gives rise to mesoscopic models in the form of kinetic transport equations featuring multiple non-localities. Subsequent parabolic and hyperbolic scalings produce general classes of equations with non-local adhesion and myopic diffusion, a special case being the classical macroscopic model proposed in Armstrong et al. (J Theoret Biol 243(1): 98–113, 2006). Our simulations show how the combination of the two motion effects can unfold. Cell-cell adhesion relies on the subcellular cell adhesion molecule binding. Our approach lends itself conveniently to capturing this microscopic effect. On the macroscale, this results in an additional non-linear integral equation of a novel type that is coupled to the cell density equation.