A discrete in continuous mathematical model of cardiac progenitor cells formation and growth as spheroid clusters (cardiospheres)
Autor: | Monika Twarogowska, Robert G. Smits, Giuseppe Pontrelli, Fabrizio Rossi, Ezio Di Costanzo, Alessandro Giacomello, Roberto Natalini, Elisa Messina |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Cardiac progenitors Cardiospheres Poisson stochastic process General Biochemistry Genetics and Molecular Biology Cell Physiological Phenomena cell movements cellular signalling chemotaxis collective dynamics differential equations hybrid models mathematical biology stem cells 03 medical and health sciences 92B05 92C17 92C15 0302 clinical medicine Molecular level Spheroids Cellular Cell Behavior (q-bio.CB) Animals Humans Collective dynamics Progenitor cell Tissues and Organs (q-bio.TO) General Environmental Science Pharmacology Physics General Immunology and Microbiology Stochastic process Mechanism (biology) Applied Mathematics General Neuroscience Spheroid Quantitative Biology - Tissues and Organs General Medicine Models Theoretical 030104 developmental biology 030220 oncology & carcinogenesis Modeling and Simulation FOS: Biological sciences Mathematical biology Quantitative Biology - Cell Behavior In vitro growth Biological system Myoblasts Cardiac |
Zdroj: | Mathematical medicine and biology (Online) 35 (2018): 121–144. doi:10.1093/imammb/dqw022 info:cnr-pdr/source/autori:E. Di Costanzo, A. Giacomello, E. Messina, R. Natalini, G. Pontrelli, F. Rossi, R. Smits, M. Twarogowska/titolo:A discrete in continuous mathematical model of cardiac progenitor cells formation and growth as spheroid clusters (cardiospheres)/doi:10.1093%2Fimammb%2Fdqw022/rivista:Mathematical medicine and biology (Online)/anno:2018/pagina_da:121/pagina_a:144/intervallo_pagine:121–144/volume:35 |
DOI: | 10.1093/imammb/dqw022 |
Popis: | We propose a discrete in continuous mathematical model describing the in vitro growth process of biophsy-derived mammalian cardiac progenitor cells growing as clusters in the form of spheres (Cardiospheres). The approach is hybrid: discrete at cellular scale and continuous at molecular level. In the present model, cells are subject to the self-organizing collective dynamics mechanism and, additionally, they can proliferate and differentiate, also depending on stochastic processes. The two latter processes are triggered and regulated by chemical signals present in the environment. Numerical simulations show the structure and the development of the clustered progenitors and are in a good agreement with the results obtained from in vitro experiments. |
Databáze: | OpenAIRE |
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