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Data from: Cutting through the complexity of cell collectives

UID: 10848

Author(s): Nadell, Carey D., Bucci, Vanni*, Drescher, Knut, Levin, Simon A., Bassler, Bonnie L., Xavier, Joao B.* * MSK affiliated

Publisher(s): Dryad

Description
Summary from Dryad:

"Abstract:
Via strength in numbers, groups of cells can influence their environments in ways that individual cells cannot. Large-scale structural patterns and collective functions underpinning virulence, tumour growth and bacterial biofilm formation are emergent properties of coupled physical and biological processes within cell groups. Owing to the abundance of factors influencing cell group behaviour, deriving general principles about them is a daunting challenge. We argue that combining mechanistic theory with theoretical ecology and evolution provides a key strategy for clarifying how cell groups form, how they change in composition over time, and how they interact with their environments. Here, we review concepts that are critical for dissecting the complexity of cell collectives, including dimensionless parameter groups, individual-based modelling and evolutionary theory. We then use this hybrid modelling approach to provide an example analysis of the evolution of cooperative enzyme secretion in bacterial biofilms.

Usage notes:
Simulation Results - Raw result files from biofilm simulations used to generate Figures 4 and 5 in the main text (simulationResults.zip)"
Subject(s)
Access Restrictions
Free to All
Access Instructions
Download from Dryad to access
DOI
10.5061/dryad.5947m
Associated Publications
Dataset Format(s)
TXT, INC, POV
Dataset Size
304,001 KB (compressed)
Data Catalog Record Updated
2023-09-27