Probabilistic Voxel-Fe model for single cell motility in 3D
Background: Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, p...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer
2014
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| Online Access: | http://hdl.handle.net/1721.1/91588 https://orcid.org/0000-0003-2728-0746 https://orcid.org/0000-0002-7232-304X |
| _version_ | 1826217597878665216 |
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| author | Borau, Carlos Polacheck, William J. Kamm, Roger Dale Garcia-Aznar, Jose Manuel |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Borau, Carlos Polacheck, William J. Kamm, Roger Dale Garcia-Aznar, Jose Manuel |
| author_sort | Borau, Carlos |
| collection | MIT |
| description | Background:
Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, permitting researches to run complex scenarios saving time and resources. Usually these models focus on specific features of cell migration, making them only suitable to study restricted phenomena.
Methods:
Here we present a versatile finite element (FE) cell-scale 3D migration model based on probabilities depending in turn on ECM mechanical properties, chemical, fluid and boundary conditions.
Results:
With this approach we are able to capture important outcomes of cell migration such as: velocities, trajectories, cell shape and aspect ratio, cell stress or ECM displacements.
Conclusions:
The modular form of the model will allow us to constantly update and redefine it as advancements are made in clarifying how cellular events take place. |
| first_indexed | 2024-09-23T17:06:13Z |
| format | Article |
| id | mit-1721.1/91588 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T17:06:13Z |
| publishDate | 2014 |
| publisher | Springer |
| record_format | dspace |
| spelling | mit-1721.1/915882022-10-03T10:24:13Z Probabilistic Voxel-Fe model for single cell motility in 3D Borau, Carlos Polacheck, William J. Kamm, Roger Dale Garcia-Aznar, Jose Manuel Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Mechanical Engineering Polacheck, William J. Kamm, Roger Dale Background: Cells respond to a variety of external stimuli regulated by the environment conditions. Mechanical, chemical and biological factors are of great interest and have been deeply studied. Furthermore, mathematical and computational models have been rapidly growing over the past few years, permitting researches to run complex scenarios saving time and resources. Usually these models focus on specific features of cell migration, making them only suitable to study restricted phenomena. Methods: Here we present a versatile finite element (FE) cell-scale 3D migration model based on probabilities depending in turn on ECM mechanical properties, chemical, fluid and boundary conditions. Results: With this approach we are able to capture important outcomes of cell migration such as: velocities, trajectories, cell shape and aspect ratio, cell stress or ECM displacements. Conclusions: The modular form of the model will allow us to constantly update and redefine it as advancements are made in clarifying how cellular events take place. European Research Council (Project ERC-2012-StG 306751) Spain. Ministerio de Economia y Competividad (DPI2012-38090-C03-01) Spain. Ministerio de Economia y Competividad (FPI Grant BES-2010-029927) Singapore-MIT Alliance for Research and Technology 2014-11-17T16:52:16Z 2014-11-17T16:52:16Z 2014-10 2013-11 2014-10-23T03:05:20Z Article http://purl.org/eprint/type/JournalArticle 2196-050X http://hdl.handle.net/1721.1/91588 Borau, Carlos, William J. Polacheck, Roger D. Kamm, and Jose Garcia-Aznar. "Probabilistic Voxel-Fe model for single cell motility in 3D." In Silico Cell and Tissue Science. 2014 Oct 23;1(1):2. https://orcid.org/0000-0003-2728-0746 https://orcid.org/0000-0002-7232-304X en http://dx.doi.org/10.1186/2196-050X-1-2 In Silico Cell and Tissue Science http://creativecommons.org/licenses/by/2.0 Carlos Borau et al.; licensee BioMed Central Ltd. application/pdf Springer |
| spellingShingle | Borau, Carlos Polacheck, William J. Kamm, Roger Dale Garcia-Aznar, Jose Manuel Probabilistic Voxel-Fe model for single cell motility in 3D |
| title | Probabilistic Voxel-Fe model for single cell motility in 3D |
| title_full | Probabilistic Voxel-Fe model for single cell motility in 3D |
| title_fullStr | Probabilistic Voxel-Fe model for single cell motility in 3D |
| title_full_unstemmed | Probabilistic Voxel-Fe model for single cell motility in 3D |
| title_short | Probabilistic Voxel-Fe model for single cell motility in 3D |
| title_sort | probabilistic voxel fe model for single cell motility in 3d |
| url | http://hdl.handle.net/1721.1/91588 https://orcid.org/0000-0003-2728-0746 https://orcid.org/0000-0002-7232-304X |
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