dc.contributor.author | Borau, Carlos | |
dc.contributor.author | Polacheck, William J. | |
dc.contributor.author | Kamm, Roger Dale | |
dc.contributor.author | Garcia-Aznar, Jose Manuel | |
dc.date.accessioned | 2014-11-17T16:52:16Z | |
dc.date.available | 2014-11-17T16:52:16Z | |
dc.date.issued | 2014-10 | |
dc.date.submitted | 2013-11 | |
dc.identifier.issn | 2196-050X | |
dc.identifier.uri | http://hdl.handle.net/1721.1/91588 | |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | European Research Council (Project ERC-2012-StG 306751) | en_US |
dc.description.sponsorship | Spain. Ministerio de Economia y Competividad (DPI2012-38090-C03-01) | en_US |
dc.description.sponsorship | Spain. Ministerio de Economia y Competividad (FPI Grant BES-2010-029927) | en_US |
dc.description.sponsorship | Singapore-MIT Alliance for Research and Technology | en_US |
dc.publisher | Springer | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1186/2196-050X-1-2 | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/2.0 | en_US |
dc.title | Probabilistic Voxel-Fe model for single cell motility in 3D | en_US |
dc.type | Article | en_US |
dc.identifier.citation | 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. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Biological Engineering | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
dc.contributor.mitauthor | Polacheck, William J. | en_US |
dc.contributor.mitauthor | Kamm, Roger Dale | en_US |
dc.relation.journal | In Silico Cell and Tissue Science | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2014-10-23T03:05:20Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Carlos Borau et al.; licensee BioMed Central Ltd. | |
dspace.orderedauthors | Borau, Carlos; Polacheck, William J; Kamm, Roger D; Garcia-Aznar, Jose | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-2728-0746 | |
dc.identifier.orcid | https://orcid.org/0000-0002-7232-304X | |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |