| Title |
Dynamic Modeling of Cell Migration and Spreading Behaviors on Fibronectin Coated Planar Substrates and Micropatterned Geometries
|
|---|---|
| Published in |
PLoS Computational Biology, February 2013
|
| DOI | 10.1371/journal.pcbi.1002926 |
| Pubmed ID | |
| Authors |
Min-Cheol Kim, Devin M. Neal, Roger D. Kamm, H. Harry Asada |
| Abstract |
An integrative cell migration model incorporating focal adhesion (FA) dynamics, cytoskeleton and nucleus remodeling, actin motor activity, and lamellipodia protrusion is developed for predicting cell spreading and migration behaviors. This work is motivated by two experimental works: (1) cell migration on 2-D substrates under various fibronectin concentrations and (2) cell spreading on 2-D micropatterned geometries. These works suggest (1) cell migration speed takes a maximum at a particular ligand density (∼1140 molecules/µm(2)) and (2) that strong traction forces at the corners of the patterns may exist due to combined effects exerted by actin stress fibers (SFs). The integrative model of this paper successfully reproduced these experimental results and indicates the mechanism of cell migration and spreading. In this paper, the mechanical structure of the cell is modeled as having two elastic membranes: an outer cell membrane and an inner nuclear membrane. The two elastic membranes are connected by SFs, which are extended from focal adhesions on the cortical surface to the nuclear membrane. In addition, the model also includes ventral SFs bridging two focal adhesions on the cell surface. The cell deforms and gains traction as transmembrane integrins distributed over the outer cell membrane bond to ligands on the ECM surface, activate SFs, and form focal adhesions. The relationship between the cell migration speed and fibronectin concentration agrees with existing experimental data for Chinese hamster ovary (CHO) cell migrations on fibronectin coated surfaces. In addition, the integrated model is validated by showing persistent high stress concentrations at sharp geometrically patterned edges. This model will be used as a predictive model to assist in design and data processing of upcoming microfluidic cell migration assays. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Peru | 1 | 25% |
| Norway | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Spain | 2 | <1% |
| France | 2 | <1% |
| India | 2 | <1% |
| Japan | 2 | <1% |
| Kazakhstan | 1 | <1% |
| Argentina | 1 | <1% |
| Germany | 1 | <1% |
| United Arab Emirates | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 203 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 33% |
| Researcher | 49 | 22% |
| Student > Master | 20 | 9% |
| Professor | 12 | 5% |
| Student > Doctoral Student | 11 | 5% |
| Other | 38 | 17% |
| Unknown | 19 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 57 | 26% |
| Agricultural and Biological Sciences | 55 | 25% |
| Physics and Astronomy | 26 | 12% |
| Biochemistry, Genetics and Molecular Biology | 16 | 7% |
| Medicine and Dentistry | 7 | 3% |
| Other | 27 | 12% |
| Unknown | 34 | 15% |