TY - GEN
T1 - Modeling cell decisions in bone formation
AU - Assar, Rodrigo
AU - Maass, Alejandro
AU - Fernández, Joaquín
AU - Kofman, Ernesto
AU - Montecino, Martín A.
PY - 2015
Y1 - 2015
N2 - 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.
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.
KW - Bone formation
KW - Cell decisions
KW - Hybrid systems
UR - http://www.scopus.com/inward/record.url?scp=84943423060&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12583-1_16
DO - 10.1007/978-3-319-12583-1_16
M3 - Conference contribution
AN - SCOPUS:84943423060
SN - 9783319125824
T3 - Springer Proceedings in Mathematics and Statistics
SP - 235
EP - 245
BT - Analysis, Modelling, Optimization, and Numerical Techniques, ICAMI 2013
A2 - Tost, Gerard Olivar
A2 - Vasilieva, Olga
PB - Springer New York LLC
T2 - 2nd International Conference on Applied Mathematics and Informatics, ICAMI 2013
Y2 - 24 November 2013 through 29 November 2013
ER -