Theoretical evidence of osteoblast self-inhibition after activation of the genetic regulatory network controlling mineralization.
Bone
Genetic network
Hill functions
Nonlinear differential equations
Journal
Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342
Informations de publication
Date de publication:
21 03 2022
21 03 2022
Historique:
received:
21
04
2021
revised:
23
12
2021
accepted:
03
01
2022
pubmed:
16
1
2022
medline:
1
4
2022
entrez:
15
1
2022
Statut:
ppublish
Résumé
Bone is a hard-soft biomaterial built through a self-assembly process under genetic regulatory network (GRN) monitoring. This paper aims to capture the behavior of the bone GRN part that controls mineralization by using a mathematical model. Here, we provide an advanced review of empirical evidence about interactions between gene coding (i) transcription factors and (ii) bone proteins. These interactions are modeled with nonlinear differential equations using Michaelis-Menten and Hill functions. Compared to empirical evidence - coming from osteoblasts culture -, the two best systems (among 12
Identifiants
pubmed: 35031309
pii: S0022-5193(22)00003-0
doi: 10.1016/j.jtbi.2022.111005
pii:
doi:
Substances chimiques
Transcription Factors
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
111005Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.