Cargando…
Force Estimation during Cell Migration Using Mathematical Modelling
Cell migration is essential for physiological, pathological and biomedical processes such as, in embryogenesis, wound healing, immune response, cancer metastasis, tumour invasion and inflammation. In light of this, quantifying mechanical properties during the process of cell migration is of great in...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320649/ https://www.ncbi.nlm.nih.gov/pubmed/35877643 http://dx.doi.org/10.3390/jimaging8070199 |
_version_ | 1784755843488546816 |
---|---|
author | Yang, Fengwei Venkataraman, Chandrasekhar Gu, Sai Styles, Vanessa Madzvamuse, Anotida |
author_facet | Yang, Fengwei Venkataraman, Chandrasekhar Gu, Sai Styles, Vanessa Madzvamuse, Anotida |
author_sort | Yang, Fengwei |
collection | PubMed |
description | Cell migration is essential for physiological, pathological and biomedical processes such as, in embryogenesis, wound healing, immune response, cancer metastasis, tumour invasion and inflammation. In light of this, quantifying mechanical properties during the process of cell migration is of great interest in experimental sciences, yet few theoretical approaches in this direction have been studied. In this work, we propose a theoretical and computational approach based on the optimal control of geometric partial differential equations to estimate cell membrane forces associated with cell polarisation during migration. Specifically, cell membrane forces are inferred or estimated by fitting a mathematical model to a sequence of images, allowing us to capture dynamics of the cell migration. Our approach offers a robust and accurate framework to compute geometric mechanical membrane forces associated with cell polarisation during migration and also yields geometric information of independent interest, we illustrate one such example that involves quantifying cell proliferation levels which are associated with cell division, cell fusion or cell death. |
format | Online Article Text |
id | pubmed-9320649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93206492022-07-27 Force Estimation during Cell Migration Using Mathematical Modelling Yang, Fengwei Venkataraman, Chandrasekhar Gu, Sai Styles, Vanessa Madzvamuse, Anotida J Imaging Article Cell migration is essential for physiological, pathological and biomedical processes such as, in embryogenesis, wound healing, immune response, cancer metastasis, tumour invasion and inflammation. In light of this, quantifying mechanical properties during the process of cell migration is of great interest in experimental sciences, yet few theoretical approaches in this direction have been studied. In this work, we propose a theoretical and computational approach based on the optimal control of geometric partial differential equations to estimate cell membrane forces associated with cell polarisation during migration. Specifically, cell membrane forces are inferred or estimated by fitting a mathematical model to a sequence of images, allowing us to capture dynamics of the cell migration. Our approach offers a robust and accurate framework to compute geometric mechanical membrane forces associated with cell polarisation during migration and also yields geometric information of independent interest, we illustrate one such example that involves quantifying cell proliferation levels which are associated with cell division, cell fusion or cell death. MDPI 2022-07-15 /pmc/articles/PMC9320649/ /pubmed/35877643 http://dx.doi.org/10.3390/jimaging8070199 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Fengwei Venkataraman, Chandrasekhar Gu, Sai Styles, Vanessa Madzvamuse, Anotida Force Estimation during Cell Migration Using Mathematical Modelling |
title | Force Estimation during Cell Migration Using Mathematical Modelling |
title_full | Force Estimation during Cell Migration Using Mathematical Modelling |
title_fullStr | Force Estimation during Cell Migration Using Mathematical Modelling |
title_full_unstemmed | Force Estimation during Cell Migration Using Mathematical Modelling |
title_short | Force Estimation during Cell Migration Using Mathematical Modelling |
title_sort | force estimation during cell migration using mathematical modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320649/ https://www.ncbi.nlm.nih.gov/pubmed/35877643 http://dx.doi.org/10.3390/jimaging8070199 |
work_keys_str_mv | AT yangfengwei forceestimationduringcellmigrationusingmathematicalmodelling AT venkataramanchandrasekhar forceestimationduringcellmigrationusingmathematicalmodelling AT gusai forceestimationduringcellmigrationusingmathematicalmodelling AT stylesvanessa forceestimationduringcellmigrationusingmathematicalmodelling AT madzvamuseanotida forceestimationduringcellmigrationusingmathematicalmodelling |