ArticleBiophysical journal2018
Agent-Based Modeling Reveals Possible Mechanisms for Observed Aggregation Cell Behaviors.
Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- ABCD of IA: A multi-scale agent-based model of T cell activation in inflammatory arthritis.Biomaterials science · 2024Article
- Formation, collective motion, and merging of macroscopic bacterial aggregates.PLoS computational biology · 2022Article
- Agent-Based Modeling of T Cell Receptor Cooperativity.International journal of molecular sciences · 2020Article
- Data-Driven Models Reveal Mutant Cell Behaviors Important for Myxobacterial Aggregation.mSystems · 2020Article
- Interplay of mesoscale physics and agent-like behaviors in the parallel evolution of aggregative multicellularity.EvoDevo · 2020Review
- Massive computational acceleration by using neural networks to emulate mechanism-based biological models.Nature communications · 2019Article
- Shared behavioral mechanisms underlieeLife · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Myxococcus xanthus is a soil bacterium that serves as a model system for biological self-organization. Cells form distinct, dynamic patterns depending on environmental conditions. An agent-based model was used to understand how M. xanthus cells aggregate into multicellular mounds in response to starvation. In this model, each cell is modeled as an agent represented by a point particle and characterized by its position and moving direction. At low agent density, the model recapitulates the dynamic patterns observed by experiments and a previous biophysical model. To study aggregation at high cell density, we extended the model based on the recent experimental observation that cells exhibit biased movement toward aggregates. We tested two possible mechanisms for this biased movement and demonstrate that a chemotaxis model with adaptation can reproduce the observed experimental results leading to the formation of stable aggregates. Furthermore, our model reproduces the experimentally observed patterns of cell alignment around aggregates.
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Registered trials
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