Stochastic cellular automata model of cell migration, proliferation and differentiation: Validation with in vitro cultures of muscle satellite cells

Garijo, N.; Manzano, Raquel; Osta, Rosario; Pérez, M.Á.

doi:10.1016/j.jtbi.2012.08.004

Cited by 16 publications

(20 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, a CA in combination with random-walk theory was implemented to simulate the dynamics of muscle satellite cells: migration, proliferation and differentiation. Results from this work demonstrated that it was possible to predict the cell behavior through the computational model and the feedback with the in vitro experiments [13]. In this context, in order to validate CA results it is necessary to perform in vitro experiments for each cell type [13,16,20,21].…”

Section: Introductionmentioning

confidence: 96%

“…Therefore, this treatment could be enhanced if computational methods allow to predict chondrocyte cell dynamics: migration, proliferation and cell death in order to improve in vitro procedures and increase the success of the therapy on articular cartilage recovery. The combination of agent-based models with experimental procedures, such as the use of a cellular automata (CA), can help to understand the behavior of experimental procedures to improve the cost-efficient performance of the experimental procedures carried out in cell culture [13].…”

Section: Introductionmentioning

confidence: 99%

“…Particles move randomly and change of state depending on current position and neighbors [14]. The CA can simulate cell dynamics such as migration, proliferation and cell death, provided that the CA is combined with stochastic tools that homogeneously model and distribute the particles in a given space [13]. In this context, the random-walk theory is a stochastic process formed by a successive sum of variables, independent and identical, randomly distributed (Gaussian distribution) [15].…”

Section: Introductionmentioning

confidence: 99%

“…In this context, the random-walk theory is a stochastic process formed by a successive sum of variables, independent and identical, randomly distributed (Gaussian distribution) [15]. Such theoretical approach has facilitated the simulation of the random cell migration, the number of proliferating cells during cell dispersion and the differentiation process [13,16]. Moreover, the random-walk theory presents advantages over other models, such as diffusion.…”

Section: Introductionmentioning

confidence: 99%

“…Results from this work demonstrated that it was possible to predict the cell behavior through the computational model and the feedback with the in vitro experiments [13]. In this context, in order to validate CA results it is necessary to perform in vitro experiments for each cell type [13,16,20,21]. Even though computer models have assessed cell dynamics in different cellular types [13,21], to our knowledge, a CA model is yet to be done to simulate chondrocyte behavior.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Cellular automata model for human articular chondrocytes migration, proliferation and cell death: An in vitro validation

Vaca‐González

Gutiérrez

Guevara

et al. 2017

ISB

View full text Add to dashboard Cite

Abstract. Articular cartilage is characterized by low cell density of only one cell type, chondrocytes, and has limited self-healing properties. When articular cartilage is affected by traumatic injuries, a therapeutic strategy such as autologous chondrocyte implantation is usually proposed for its treatment. This approach requires in vitro chondrocyte expansion to yield high cell number for cell transplantation. To improve the efficiency of this procedure, it is necessary to assess cell dynamics such as migration, proliferation and cell death during culture. Computational models such as cellular automata can be used to simulate cell dynamics in order to enhance the result of cell culture procedures. This methodology has been implemented for several cell types; however, an experimental validation is required for each one. For this reason, in this research a cellular automata model, based on random-walk theory, was devised in order to predict articular chondrocyte behavior in monolayer culture during cell expansion. Results demonstrated that the cellular automata model corresponded to cell dynamics and computed-accurate quantitative results. Moreover, it was possible to observe that cell dynamics depend on weighted probabilities derived from experimental data and cell behavior varies according to the cell culture period. Thus, depending on whether cells were just seeded or proliferated exponentially, culture time probabilities differed in percentages in the CA model. Furthermore, in the experimental assessment a decreased chondrocyte proliferation was observed along with increased passage number. This approach is expected to having other uses as in enhancing articular cartilage therapies based on tissue engineering and regenerative medicine.

show abstract

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Cellular automata model for human articular chondrocytes migration, proliferation and cell death: An in vitro validation

Vaca‐González

Gutiérrez

Guevara

et al. 2017

ISB

View full text Add to dashboard Cite

show abstract

Morphological switch is associated with increase in cell–cell contacts, ALP, and confluence above a minimum island area to perimeter ratio

Berent

Johnson

2021

J Biomedical Materials Res

View full text Add to dashboard Cite

During osteogenic differentiation in vitro, stem‐like cells seeded at a low‐density spread and are isolated. As the cells proliferate and mature, they become more cuboidal in shape with more cell–cell contacts. However, the coordination of this switch in cell morphology from elongated to cuboidal, cell–cell contacts, and differentiation is not known. In this work, we present results from experiments and a simulation of cell proliferation on protein‐micropatterned islands that, independent of island size (25–1,000 μm) or shape (circles, squares, and hollow squares), shows a distinct morphological switch that is better described as a function of island confluence than time in culture, the standard measure in cell culture experiments. The simulation and experiments show cell morphology and island cell density versus confluence collapse to a single curve for all islands if the island area to perimeter ratio is ≥25 μm. Cell–cell contacts in the simulation and alkaline phosphatase (ALP) expression in experiments, a common marker for osteogenic differentiation, show exponential growth with confluence, rapidly increasing after the switch at ≈0.5 confluence. Furthermore, cell morphology, density, contacts, and ALP are better predicted by confluence than time in culture. The variability with time in culture leads to challenges in not only interpreting data but also in comparing data across research laboratories. This simulation can be used to predict cell behavior on different size and shape islands and to plan and optimize experiments that explore cell behavior as a function of a wide range of island geometries.

show abstract

Cell Therapy for the Heart

Birla

2016

Tissue Engineering for the Heart

View full text Add to dashboard Cite

Stochastic cellular automata model of cell migration, proliferation and differentiation: Validation with in vitro cultures of muscle satellite cells

Cited by 16 publications

References 41 publications

Cellular automata model for human articular chondrocytes migration, proliferation and cell death: An in vitro validation

Cellular automata model for human articular chondrocytes migration, proliferation and cell death: An in vitro validation

Morphological switch is associated with increase in cell–cell contacts, ALP, and confluence above a minimum island area to perimeter ratio

Cell Therapy for the Heart

Contact Info

Product

Resources

About