The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Coupling actin flow, adhesion, and morphology in a computational cell motility model
Open accessAbstract
Cell migration is a pervasive process in many biology systems and involves protrusive forces generated by actin polymerization, myosin dependent contractile forces, and force transmission between the cell and the substrate through adhesion sites. Here we develop a computational model for cell motion that uses the phase-field method to solve for the moving boundary with physical membrane properties. It includes a reaction-diffusion model for the actin-myosin machinery and discrete adhesion sites which can be in a “gripping” or “slipping” mode and integrates the adhesion dynamics with the dynamics of the actin filaments, modeled as a viscous network. To test this model, we apply it to fish keratocytes, fast moving cells that maintain their morphology, and show that we are able to reproduce recent experimental results on actin flow and stress patterns. Furthermore, we explore the phase diagram of cell motility by varying myosin II activity and adhesion strength. Our model suggests that the pattern of the actin flow inside the cell, the cell velocity, and the cell morphology are determined by the integration of actin polymerization, myosin contraction, adhesion forces, and membrane forces.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cellular Motility Driven by Assembly and Disassembly of Actin Filaments
Pollard, T. D., & Borisy, G. G. (2003) · Cell · doi:10.1016/s0092-8674(03)00120-x · Cited by 4,195
Quantitative phase-field modeling of dendritic growth in two and three dimensions
Karma, A., & Rappel, W. (1998) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.57.4323 · Cited by 1,494
Self-citationMechanical Integration of Actin and Adhesion Dynamics in Cell Migration
Gardel, M. L., Schneider, I. C., Aratyn-Schaus, & Waterman, C. M. (2010) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.011209.122036 · Cited by 981
Traction Dynamics of Filopodia on Compliant Substrates
Chan, C. E., & Odde, D. J. (2008) · Science · doi:10.1126/science.1163595 · Cited by 936
Cytoskeletal dynamics and nerve growth
Mitchison, T., & Kirschner, M. (1988) · Neuron · doi:10.1016/0896-6273(88)90124-9 · Cited by 871
Choi, C. K., Vicente-Manzanares, M., Zareno, J., Whitmore, L. A., Mogilner, A., & Horwitz, A. R. (2008) · Nature Cell Biology · doi:10.1038/ncb1763 · Cited by 797
Phase-Field Model of Mode III Dynamic Fracture
Karma, A., Kessler, D. A., & Levine, H. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.045501 · Cited by 669
Self-citationSelf-polarization and directional motility of cytoplasm
Verkhovsky, A. B., Svitkina, T. M., & Borisy, G. G. (1999) · Current Biology · doi:10.1016/s0960-9822(99)80042-6 · Cited by 500
The Molecular Architecture of Focal Adhesions
Jockusch, B. M., Bubeck, P., Giehl, K., Kroemker, M., Moschner, J., Rothkegel, M., Rudiger, M., Schluter, K., Stanke, G., & Winkler, J. (1995) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cb.11.110195.002115 · Cited by 481
Wave-Pinning and Cell Polarity from a Bistable Reaction-Diffusion System
Mori, Y., Jilkine, A., & Edelstein-Keshet, L. (2008) · Biophysical Journal · doi:10.1529/biophysj.107.120824 · Cited by 407
Cited by
Nonequilibrium physics in biology
Fang, X., Kruse, K., Lu, T., & Wang, J. (2019) · Reviews of Modern Physics · doi:10.1103/revmodphys.91.045004 · Cited by 258
LIU, Z., YANG, X., CHEN, C., LIU, B., REN, B., WANG, L., ZHAO, K., YU, S., & MING, H. (2013) · Oncology Reports · doi:10.3892/or.2013.2669 · Cited by 59
Metadata
- Authors
- Shao, D., Levine, H., & Rappel, W.-J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-04-09
- Volume
- 109
- Issue
- 18
- Pages
- 6851-6856
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2041040218
- Cited by
- 253
- References
- 34
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Coupling actin flow, adhesion, and morphology in a computational cell motility model. https://app.cochat.ai/papers/10.1073/pnas.1203252109
- The paper
- Shao, D., Levine, H., & Rappel, W.-J. (2012). Coupling actin flow, adhesion, and morphology in a computational cell motility model. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1203252109
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
