Migratory cells are known to adapt to environments that contain wide-ranging levels of chemoattractant. While biochemical models of adaptation have been previously proposed, here we discuss a different mechanism based on mechanosensing, where the interaction between biochemical signaling and cell tension facilitates adaptation. In this talk, we develop and analyze a model of mechanochemical-based adaptation consisting of a mechanics-based physical model coupled with the wave-pinning reaction-diffusion model for Rac GTPase activity. We use Local Perturbation Analysis to predict how cells adapt signaling parameters via feedback from mechanics to maintain polarity in response to chemoattractant levels. To confirm this prediction, we simulate the mechanochemical model in moving cells, demonstrating how mechanosensing results in persistent cell polarity when cells are stimulated with wide-ranging levels of chemoattractant in silico. These results demonstrate how mechanosensing may help cells adapt to maintain polarity in variable environments.
Wednesday, June 16 at 07:45pm (PDT)Thursday, June 17 at 03:45am (BST)Thursday, June 17 11:45am (KST)
MS16-CDEV: Mechanisms Underlying Cell Polarization and Its Role in Cell Development
Organized by: Weitao Chen (University of California, Riverside, United States), Michael Trogdon (Salk Institute for Biological Studies, United States), Roya Zandi (University of California, Riverside, United States)
- Cole Zmurchok (Vanderbilt University, United States) "Mechanosensing can enhance adaptation to maintain polarity of migrating cells"
- Nan Hao (University of California, San Diego, United States) "Modeling the landscape of divergent aging in yeast"
- Kevin Tsai (University of California, Riverside, United States) "Yeast budding: linking shape generation with biochemical-mechanical feedback"
- Wing Cheong Lo (City University of Hong Kong, P. R. China) "Deterministic and stochastic analysis for the spontaneous emergence of cell polarity in budding yeast"
MS16-DDMB: Image Analysis and Machine Learning for Bio-Medical Applications
Organized by: Amit Roy-Chowdhury (University of California, Riverside), G. Venugopala Reddy (University of California, Riverside) Note: this minisymposia has multiple sessions. The second session is MS16-DDMB.
- B. S. Manjunath (University of California, Santa Barbara) "3D cell/nuclei segmentation and tracking using deep networks"
- Michelle Digman (University of California, Irvine) "Quantifying Spatio-temporal dynamics and Metabolic Alterations of protein upon DNA Damage"
- Cory Braker Scott (University of California, Irvine) "Morphological Analysis of Biological Images Using Spectral Graph Theory and Graph Neural Networks"
- Kevin Rodriguez (University of California, Riverside) "Interplay between layer specific chemical signals and mechanical properties maintain the structure and shape of the shoot apical meristem in Arabidopsis"
MS16-EVOP: Collective Behavior and Social Evolution
Organized by: Daniel Cooney (University of Pennsylvania, USA) & Olivia Chu (Princeton University, USA) Note: this minisymposia has multiple sessions. The second session is MS18-EVOP.
- Heather Zinn Brooks (Harvey Mudd College) "Rounding out the corners: Smooth approximations for bounded-confidence models of opinion dynamics"
- Vandana Venkateswaran (University of Illinois) "Modeling the interplay between life-history, sexual, and social traits"
- Taylor Kessinger (University of Pennsylvania) "Models of institution formation and breakdown under indirect reciprocity"
- Sara Loo (University of New South Wales) "The evolution of learned behaviour and strategy: with applications to reproduction and disease emergence"
MS16-MEPI: Models of COVID-19 Vaccination, Non-Pharmaceutical Interventions, and Relaxation
Organized by: Jane Heffernan (York University, Canada), Miranda Teboh Ewungkem (Lehigh University, USA), Zhilan Feng (Purdue University, USA), John Glasser (Centres for Disease Control, USA) Note: this minisymposia has multiple sessions. The second session is MS11-MEPI. The third session is MS20-MEPI.
- Jeff Shaman (Columbia University, USA) "Overall Burden and Characteristics of COVID-19 in the US"
- David Dick (York University, Canada) "A Model of COVID-19 Vaccination and Waning Immunity in Canada"
- Toby Brett (University of Georgia, USA) "How mathematical modeling reveals the impracticality of COVID-19 herd immunity strategies"
- Daniel Larremore (University of Colorado, USA) "Vaccine prioritization strategies with age, serostatus, and immunosenescence"
MS16-MMPB: Models and Computations for Studying Biofluid Applications
Organized by: Zhiliang Xu (Univeristy of Notre Dame, USA), Giordano Tierra (University of North Texas, USA), Shixin Xu (Duke Kunshan University) Note: this minisymposia has multiple sessions. The second session is MS10-MMPB.
- Rolf Ryham (Fordham University, USA) "Collective hydrodynamics of amphiphilic particles assembled as small unilamellar vesicles"
- Wenrui Hao (Penn State University, USA) "Computational models of cardiovascular disease"
- Yiwei Wang (Illinois Institute of Technology, USA) "An energetic variational approach for wormlike micelle solutions: Coarse graining and dynamic stability"
- Giordano Tierra (University of North Texas, USA) "Energy-stable numerical schemes for fluid vesicles with internal nematic order"