yalla

yalla simulates morphogenesis of mesenchymal and epithelial tissues using a GPU-accelerated parallel agent-based spheroid model to analyze cellular interactions, tissue polarity, protrusions, and migration.


Key Features:

  • Agent-Based Modeling: yalla implements a parallel agent-based model to simulate individual cell behaviors and interactions within tissues.
  • Spheroid Model Extension: Extends spheroid models with spin-like polarities to represent epithelial sheet polarity and directional properties.
  • Pairwise Interactions: Uses pairwise interactions between agents to model cell adhesion, repulsion, and communication.
  • GPU Implementation: Implemented in CUDA/C++ for GPU acceleration to enable large-scale, high-performance simulations.
  • Protrusions and Migration Models: Includes models for cellular protrusions and migration to simulate dynamic cell movement and morphological change.

Scientific Applications:

  • Tissue Polarity: Investigating establishment and maintenance of cell polarity in epithelial and mesenchymal contexts.
  • Morphogenetic Movements: Modeling mechanisms of cell movement and organization during tissue morphogenesis.
  • Cellular Interactions: Studying effects of cell adhesion, repulsion, and communication on tissue formation and function.

Methodology:

Parallel agent-based modeling with pairwise agent interactions; spheroid model augmented with spin-like polarities; CUDA/C++ GPU implementation; incorporation of protrusion and migration models.

Topics

Collections

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux
Programming Languages:
Python
Added:
4/28/2022
Last Updated:
11/24/2024

Operations

Publications

Germann P, Marin-Riera M, Sharpe J. ya||a: GPU-Powered Spheroid Models for Mesenchyme and Epithelium. Cell Systems. 2019;8(3):261-266.e3. doi:10.1016/j.cels.2019.02.007. PMID:30904379.

PMID: 30904379
Funding: - European Research Council: 670555 - Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung: CR23I3_156234, CRSII3_141918

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