Multiscale Models of Cell Motility

Abstract

The major goal of this work is to develop multiscale models of cell motility and stability analysis of multiscale signaling models. We have focused on developing the framework for actin-membrane interactions using continuum modeling in the current review period. We developed a multiscale model for cell shape and force interactions. Cell shapes and connectivities evolve over time as the colony changes shape or embryos develop. Shapes of intercellular interfaces are closely coupled with the forces resulting from actomyosin interactions, membrane tension, or cell-cell adhesions. Although it is possible to computationally infer cell-cell forces from a mechanical model of collective cell behavior, doing so for temporally evolving forces in a manner robust to digitization difficulties is challenging. Here, we introduce a method for dynamic local intercellular tension estimation (DLITE) that infers such evolution in temporal force with less sensitivity to digitization ambiguities or errors. This method builds upon previous work on single time points (cellular force-inference toolkit). We validate our method using synthetic geometries. DLITEs inferred cell colony tension evolutions correlate better with ground truth for these synthetic geometries as compared to tension values inferred from methods that consider each time point in isolation. We introduce cell connectivity errors, angle estimate errors, connection mislocalization, and connection topological changes to synthetic data and show that DLITE has reduced sensitivity to these conditions. Finally, we apply DLITE to time series of human-induced pluripotent stem cell colonies withendogenously expressed GFP-tagged zonulae occludentes-1. We show that DLITE offers improved stability in the inference of cell-cell tensions and supports a correlation between the dynamics of cell-cell forces and colony rearrangement

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Nov 21, 2019
Accession Number
AD1110910

Entities

People

  • Padmini Rangamani

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cell Membrane Structures
  • Cell Movement
  • Cell Physiological Processes
  • Cell Shape
  • Cells
  • Computational Science
  • Computer Programs
  • Computer Vision
  • Cytoskeleton
  • Geometry
  • Intercellular Junctions
  • Materials
  • Mathematical Models
  • Military Research
  • Stem Cells
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Materials Science and Engineering.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology