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Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory
BACKGROUND: Cell cooperation is a critical event during tissue development. We present the first precise metrics to quantify the interaction between mesenchymal stem cells (MSCs) and extra cellular matrix (ECM). In particular, we describe cooperative collagen alignment process with respect to the sp...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948014/ https://www.ncbi.nlm.nih.gov/pubmed/20927339 http://dx.doi.org/10.1371/journal.pone.0012783 |
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author | Bilgin, Cemal Cagatay Lund, Amanda W. Can, Ali Plopper, George E. Yener, Bülent |
author_facet | Bilgin, Cemal Cagatay Lund, Amanda W. Can, Ali Plopper, George E. Yener, Bülent |
author_sort | Bilgin, Cemal Cagatay |
collection | PubMed |
description | BACKGROUND: Cell cooperation is a critical event during tissue development. We present the first precise metrics to quantify the interaction between mesenchymal stem cells (MSCs) and extra cellular matrix (ECM). In particular, we describe cooperative collagen alignment process with respect to the spatio-temporal organization and function of mesenchymal stem cells in three dimensions. METHODOLOGY/PRINCIPAL FINDINGS: We defined two precise metrics: Collagen Alignment Index and Cell Dissatisfaction Level, for quantitatively tracking type I collagen and fibrillogenesis remodeling by mesenchymal stem cells over time. Computation of these metrics was based on graph theory and vector calculus. The cells and their three dimensional type I collagen microenvironment were modeled by three dimensional cell-graphs and collagen fiber organization was calculated from gradient vectors. With the enhancement of mesenchymal stem cell differentiation, acceleration through different phases was quantitatively demonstrated. The phases were clustered in a statistically significant manner based on collagen organization, with late phases of remodeling by untreated cells clustering strongly with early phases of remodeling by differentiating cells. The experiments were repeated three times to conclude that the metrics could successfully identify critical phases of collagen remodeling that were dependent upon cooperativity within the cell population. CONCLUSIONS/SIGNIFICANCE: Definition of early metrics that are able to predict long-term functionality by linking engineered tissue structure to function is an important step toward optimizing biomaterials for the purposes of regenerative medicine. |
format | Text |
id | pubmed-2948014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29480142010-10-06 Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory Bilgin, Cemal Cagatay Lund, Amanda W. Can, Ali Plopper, George E. Yener, Bülent PLoS One Research Article BACKGROUND: Cell cooperation is a critical event during tissue development. We present the first precise metrics to quantify the interaction between mesenchymal stem cells (MSCs) and extra cellular matrix (ECM). In particular, we describe cooperative collagen alignment process with respect to the spatio-temporal organization and function of mesenchymal stem cells in three dimensions. METHODOLOGY/PRINCIPAL FINDINGS: We defined two precise metrics: Collagen Alignment Index and Cell Dissatisfaction Level, for quantitatively tracking type I collagen and fibrillogenesis remodeling by mesenchymal stem cells over time. Computation of these metrics was based on graph theory and vector calculus. The cells and their three dimensional type I collagen microenvironment were modeled by three dimensional cell-graphs and collagen fiber organization was calculated from gradient vectors. With the enhancement of mesenchymal stem cell differentiation, acceleration through different phases was quantitatively demonstrated. The phases were clustered in a statistically significant manner based on collagen organization, with late phases of remodeling by untreated cells clustering strongly with early phases of remodeling by differentiating cells. The experiments were repeated three times to conclude that the metrics could successfully identify critical phases of collagen remodeling that were dependent upon cooperativity within the cell population. CONCLUSIONS/SIGNIFICANCE: Definition of early metrics that are able to predict long-term functionality by linking engineered tissue structure to function is an important step toward optimizing biomaterials for the purposes of regenerative medicine. Public Library of Science 2010-09-30 /pmc/articles/PMC2948014/ /pubmed/20927339 http://dx.doi.org/10.1371/journal.pone.0012783 Text en Bilgin et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bilgin, Cemal Cagatay Lund, Amanda W. Can, Ali Plopper, George E. Yener, Bülent Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title | Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title_full | Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title_fullStr | Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title_full_unstemmed | Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title_short | Quantification of Three-Dimensional Cell-Mediated Collagen Remodeling Using Graph Theory |
title_sort | quantification of three-dimensional cell-mediated collagen remodeling using graph theory |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948014/ https://www.ncbi.nlm.nih.gov/pubmed/20927339 http://dx.doi.org/10.1371/journal.pone.0012783 |
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