Modeling actin-microtubule crosstalk in migrating cells
Actin-microtubule crosstalk regulates the polarity and morphology of migrating cells and encompasses mechanical interactions, mediated by cross-linkers, molecular motors, and cytoskeletal regulators. Recent experiments indicate that local microtubule depolymerization promotes local actomyosin retraction, whereas local microtubule polymerization promotes local actin polymerization. Based on these observations, we develop a computational whole-cell model involving dynamic microtubules interacting mechanically and chemically with an active cell boundary. Specifically, the tips of microtubules send signals for local expansion or contraction to the active cell boundary, depending on whether they are in the growth or shrink phase. A rich, self-organized, dynamic behavior emerges, characterized by the repositioning of the microtubule-organizing center relative to the nucleus and the direction of migration. This also includes a variety of migration patterns, cell morphologies, and complex responses to obstacles in microfluidic and obstacle park environments. We demonstrate that microtubule length and numbers have a significant impact on these features, highlighting the need for new experimental investigations. Thus, the model provides a unified framework that explains a wide range of experimental observations and setups where actin-microtubule crosstalk plays a crucial role.
Authors
- Pinaki Nayak (ORCID: https://orcid.org/0009-0009-3260-3176)
- Raja Paul (ORCID: https://orcid.org/0000-0001-7045-8584)
- Heiko Rieger (ORCID: https://orcid.org/0000-0003-0205-3678)
- Anil Kumar Dasanna (ORCID: https://orcid.org/0000-0001-5960-4579)
Institutions
- Indian Institute of Science Education and Research Mohali (IN)
- Indian Association for the Cultivation of Science (IN)
- Saarland University (DE)
Publication Details
- Journal
- Biophysical Journal
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.bpj.2025.09.029
- Citations
- 1
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 1.37