Modeling cell decisions in bone formation

Rodrigo Assar, Alejandro Maass, Joaquín Fernández, Ernesto Kofman, Martín A. Montecino

Resultado de la investigación: Conference contribution

Resumen

The process of bone formation involves several mechanisms, which can manifest dysfunctions such as osteoporosis in case of imbalances between them. In basic terms, osteo-adipo progenitors derive from the bone marrow, and depending on multiple stimulus signals, can stay in their progenitor state (preosteoblast) or can differentiate to form bone and fat tissue [3].We point to model the dynamics of the cell decisions to differentiate from preosteoblasts to osteoblasts, considering stimulatory signals, and the important role of epigenetics. Given a cell, the presence of specific epigenetic marks favors the expression of biomarker genes and the posterior differentiation into osteoblasts. Starting with a group of marked cells, we model in silico the proliferation of such cells and the epigenetic inheritance. We consider a hybrid system [2, 8] in which each cell grows continuously over time until being ready to divide, and the success in division and epigenetic inheritance includes randomness. Stimulating the proliferation of marked cells, the model predicts the dynamics to increase the number of osteoblasts helping in testing medical treatments and production in vitro.

Idioma originalEnglish
Título de la publicación alojadaAnalysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013
EditorialSpringer New York LLC
Páginas235-245
Número de páginas11
Volumen121
ISBN (versión impresa)9783319125824
DOI
EstadoPublished - 2015
Evento2nd International Conference on Applied Mathematics and Informatics, ICAMI 2013 - San Andres Island, United States
Duración: 24 nov 201329 nov 2013

Other

Other2nd International Conference on Applied Mathematics and Informatics, ICAMI 2013
PaísUnited States
CiudadSan Andres Island
Período24/11/1329/11/13

Huella dactilar

Bone
Cell
Modeling
Proliferation
Differentiate
Osteoporosis
Biomarkers
Hybrid Systems
Randomness
Divides
Division
Model
Gene
Predict
Testing
Term

ASJC Scopus subject areas

  • Mathematics(all)

Citar esto

Assar, R., Maass, A., Fernández, J., Kofman, E., & Montecino, M. A. (2015). Modeling cell decisions in bone formation. En Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013 (Vol. 121, pp. 235-245). Springer New York LLC. https://doi.org/10.1007/978-3-319-12583-1_16
Assar, Rodrigo ; Maass, Alejandro ; Fernández, Joaquín ; Kofman, Ernesto ; Montecino, Martín A. / Modeling cell decisions in bone formation. Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013. Vol. 121 Springer New York LLC, 2015. pp. 235-245
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Assar, R, Maass, A, Fernández, J, Kofman, E & Montecino, MA 2015, Modeling cell decisions in bone formation. En Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013. vol. 121, Springer New York LLC, pp. 235-245, 2nd International Conference on Applied Mathematics and Informatics, ICAMI 2013, San Andres Island, United States, 24/11/13. https://doi.org/10.1007/978-3-319-12583-1_16

Modeling cell decisions in bone formation. / Assar, Rodrigo; Maass, Alejandro; Fernández, Joaquín; Kofman, Ernesto; Montecino, Martín A.

Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013. Vol. 121 Springer New York LLC, 2015. p. 235-245.

Resultado de la investigación: Conference contribution

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AU - Kofman, Ernesto

AU - Montecino, Martín A.

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AB - The process of bone formation involves several mechanisms, which can manifest dysfunctions such as osteoporosis in case of imbalances between them. In basic terms, osteo-adipo progenitors derive from the bone marrow, and depending on multiple stimulus signals, can stay in their progenitor state (preosteoblast) or can differentiate to form bone and fat tissue [3].We point to model the dynamics of the cell decisions to differentiate from preosteoblasts to osteoblasts, considering stimulatory signals, and the important role of epigenetics. Given a cell, the presence of specific epigenetic marks favors the expression of biomarker genes and the posterior differentiation into osteoblasts. Starting with a group of marked cells, we model in silico the proliferation of such cells and the epigenetic inheritance. We consider a hybrid system [2, 8] in which each cell grows continuously over time until being ready to divide, and the success in division and epigenetic inheritance includes randomness. Stimulating the proliferation of marked cells, the model predicts the dynamics to increase the number of osteoblasts helping in testing medical treatments and production in vitro.

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Assar R, Maass A, Fernández J, Kofman E, Montecino MA. Modeling cell decisions in bone formation. En Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013. Vol. 121. Springer New York LLC. 2015. p. 235-245 https://doi.org/10.1007/978-3-319-12583-1_16