Reusing and composing models of cell fate regulation of human bone precursor cells.

Rodrigo Assar; Andrea V Leisewitz; Alice Garcia; Nibaldo C Inestrosa; Martín A Montecino; David James Sherman

hal-00681022, version 1

Reusing and composing models of cell fate regulation of human bone precursor cells.

Rodrigo Assar ( Auteur à contacter de préférence ) ^1, 2, Andrea V Leisewitz ³, Alice Garcia ¹, Nibaldo C Inestrosa ⁴, Martín A Montecino ^2, 5, David James Sherman () ¹

BioSystems 108, 1-3 (2012) 63-72

Résumé : In order to treat osteoporosis and other bone mass disorders it is necessary to understand the regulatory processes that control the cell fate decisions responsible for going from bone precursor cells to bone tissue. Many processes interact to regulate cell division, differentiation and apoptosis. There are models for these basic processes, but not for their interactions. In this work we use the theory of switched systems, reuse and composition of validated models to describe the cell fate decisions leading to bone and fat formation. We describe the differentiation of osteo-adipo progenitor cells by composing its model with differentiation stimuli. We use the activation of the Wnt pathway as stimulus to osteoblast lineage, including regulation of cell division and apoptosis. This model is our first step to simulate physiological responses in silico to treatments for bone mass disorders.

1 : Magnome (INRIA Bordeaux - Sud-Ouest)
CNRS : UMR5800 – INRIA – Université Sciences et Technologies - Bordeaux I – École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)
2 : FONDAP 15090007 Center for Genome Regulation (CGR)
Universidad de Chile
3 : Hematology-Oncology Department School of Medicine
Pontificia Universidad Católica de Chile
4 : Centro de Regulación Celular y Patología Joaquín V. Luco, Departamento de Biología Celular y Molecular (CRCP)
Pontificia Universidad Católica de Chile
5 : Centro de Investigaciones Biomédicas, Facultad de Ciencias Biológicas and Facultad de Medicina
Universidad Andrés Bello

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Contributeur : Rodrigo Assar <>
Soumis le : Mardi 20 Mars 2012, 15:50:32
Dernière modification le : Samedi 12 Mai 2012, 10:12:27

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PubMed : 22309764

DOI : 10.1016/j.biosystems.2012.01.008

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%% hal-00681022, version 1
%% http://hal.inria.fr/hal-00681022
@article{assar:hal-00681022,
    hal_id = {hal-00681022},
    url = {http://hal.inria.fr/hal-00681022},
    title = {{Reusing and composing models of cell fate regulation of human bone precursor cells.}},
    author = {Assar, Rodrigo and Leisewitz, Andrea V and Garcia, Alice and Inestrosa, Nibaldo C and Montecino, Mart{\'\i}n A and Sherman, David James},
    abstract = {{In order to treat osteoporosis and other bone mass disorders it is necessary to understand the regulatory processes that control the cell fate decisions responsible for going from bone precursor cells to bone tissue. Many processes interact to regulate cell division, differentiation and apoptosis. There are models for these basic processes, but not for their interactions. In this work we use the theory of switched systems, reuse and composition of validated models to describe the cell fate decisions leading to bone and fat formation. We describe the differentiation of osteo-adipo progenitor cells by composing its model with differentiation stimuli. We use the activation of the Wnt pathway as stimulus to osteoblast lineage, including regulation of cell division and apoptosis. This model is our first step to simulate physiological responses in silico to treatments for bone mass disorders.}},
    keywords = {Bone formation; Differentiation; Wnt pathway},
    language = {Anglais},
    affiliation = {Magnome - INRIA Bordeaux - Sud-Ouest , FONDAP 15090007 Center for Genome Regulation - CGR , Hematology-Oncology Department School of Medicine , Centro de Regulaci{\'o}n Celular y Patolog{\'\i}a Joaqu{\'\i}n V. Luco, Departamento de Biolog{\'\i}a Celular y Molecular - CRCP , Centro de Investigaciones Biom{\'e}dicas, Facultad de Ciencias Biol{\'o}gicas and Facultad de Medicina},
    publisher = {Elsevier},
    pages = {63-72},
    journal = {BioSystems},
    volume = {108},
    number = {1-3 },
    audience = {internationale },
    doi = {10.1016/j.biosystems.2012.01.008 },
    year = {2012},
    month = Apr,
}

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