Numerical modeling of cell differentiation and proliferation in force-induced substrates via encapsulated magnetic nanoparticles
Mousavi, Seyed Jamaleddin ; Hamdy Doweidar, Mohamed (Universidad de Zaragoza)
Resumen: Background and objective
Cell migration, differentiation, proliferation and apoptosis are the main processes in tissue regeneration. Mesenchymal Stem Cells have the potential to differentiate into many cell phenotypes such as tissue- or organ-specific cells to perform special functions. Experimental observations illustrate that differentiation and proliferation of these cells can be regulated according to internal forces induced within their Extracellular Matrix. The process of how exactly they interpret and transduce these signals is not well understood.
Methods
A previously developed three-dimensional (3D) computational model is here extended and employed to study how force-free substrates and force-induced substrate control cell differentiation and/or proliferation during the mechanosensing process. Consistent with experimental observations, it is assumed that cell internal deformation (a mechanical signal) in correlation with the cell maturation state directly triggers cell differentiation and/or proliferation. The Extracellular Matrix is modeled as Neo-Hookean hyperelastic material assuming that cells are cultured within 3D nonlinear hydrogels.
Results
In agreement with well-known experimental observations, the findings here indicate that within neurogenic (0.1–1 kPa), chondrogenic (20–25 kPa) and osteogenic (30–45 kPa) substrates, Mesenchymal Stem Cells differentiation and proliferation can be precipitated by inducing the substrate with an internal force. Therefore, cells require a longer time to grow and maturate within force-free substrates than within force-induced substrates. In the instance of Mesenchymal Stem Cells differentiation into a compatible phenotype, the magnitude of the net traction force increases within chondrogenic and osteogenic substrates while it reduces within neurogenic substrates. This is consistent with experimental studies and numerical works recently published by the same authors. However, in all cases the magnitude of the net traction force considerably increases at the instant of cell proliferation because of cell–cell interaction.
Conclusions
The present model provides new perspectives to delineate the role of force-induced substrates in remotely controlling the cell fate during cell–matrix interaction, which open the door for new tissue regeneration methodologies.
Idioma: Inglés
DOI: 10.1016/j.cmpb.2016.03.019
Año: 2016
Publicado en: Computer Methods and Programs in Biomedicine 130 (2016), 106-117
ISSN: 0169-2607
Factor impacto JCR: 2.503 (2016)
Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 21 / 104 = 0.202 (2016) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 8 / 23 = 0.348 (2016) - Q2 - T2
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 26 / 77 = 0.338 (2016) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 32 / 105 = 0.305 (2016) - Q2 - T1
Factor impacto SCIMAGO: 0.639 - Computer Science Applications (Q2) - Software (Q2) - Health Informatics (Q2)
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MAT2013-46467-C4-3-R
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.
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Cell migration, differentiation, proliferation and apoptosis are the main processes in tissue regeneration. Mesenchymal Stem Cells have the potential to differentiate into many cell phenotypes such as tissue- or organ-specific cells to perform special functions. Experimental observations illustrate that differentiation and proliferation of these cells can be regulated according to internal forces induced within their Extracellular Matrix. The process of how exactly they interpret and transduce these signals is not well understood.
Methods
A previously developed three-dimensional (3D) computational model is here extended and employed to study how force-free substrates and force-induced substrate control cell differentiation and/or proliferation during the mechanosensing process. Consistent with experimental observations, it is assumed that cell internal deformation (a mechanical signal) in correlation with the cell maturation state directly triggers cell differentiation and/or proliferation. The Extracellular Matrix is modeled as Neo-Hookean hyperelastic material assuming that cells are cultured within 3D nonlinear hydrogels.
Results
In agreement with well-known experimental observations, the findings here indicate that within neurogenic (0.1–1 kPa), chondrogenic (20–25 kPa) and osteogenic (30–45 kPa) substrates, Mesenchymal Stem Cells differentiation and proliferation can be precipitated by inducing the substrate with an internal force. Therefore, cells require a longer time to grow and maturate within force-free substrates than within force-induced substrates. In the instance of Mesenchymal Stem Cells differentiation into a compatible phenotype, the magnitude of the net traction force increases within chondrogenic and osteogenic substrates while it reduces within neurogenic substrates. This is consistent with experimental studies and numerical works recently published by the same authors. However, in all cases the magnitude of the net traction force considerably increases at the instant of cell proliferation because of cell–cell interaction.
Conclusions
The present model provides new perspectives to delineate the role of force-induced substrates in remotely controlling the cell fate during cell–matrix interaction, which open the door for new tissue regeneration methodologies.
Idioma: Inglés
DOI: 10.1016/j.cmpb.2016.03.019
Año: 2016
Publicado en: Computer Methods and Programs in Biomedicine 130 (2016), 106-117
ISSN: 0169-2607
Factor impacto JCR: 2.503 (2016)
Categ. JCR: COMPUTER SCIENCE, THEORY & METHODS rank: 21 / 104 = 0.202 (2016) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 8 / 23 = 0.348 (2016) - Q2 - T2
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 26 / 77 = 0.338 (2016) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 32 / 105 = 0.305 (2016) - Q2 - T1
Factor impacto SCIMAGO: 0.639 - Computer Science Applications (Q2) - Software (Q2) - Health Informatics (Q2)
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MAT2013-46467-C4-3-R
Tipo y forma: Artículo (PostPrint)
Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)
Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace. No puede utilizar el material para una finalidad comercial. Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado.Exportado de SIDERAL (2020-02-21-13:42:42)
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Registro creado el 2016-04-20, última modificación el 2020-02-21