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
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