Drawing from the physics of self-propelled particles, the authors introduce a macroscopic model to describe their experiments on ants’ cooperative transport. They connected this to previous coupled-carrier models, bridging the gap from micro to macro scales.

In this work, authors introduce a dynamic vertex model incorporating strain-induced tension remodeling and mechanical memory dissipation to explain topological transitions commonly observed in epithelial tissues.

Drawing from the physics of self-propelled particles, the authors introduce a macroscopic model to describe their experiments on ants’ cooperative transport. They connected this to previous coupled-carrier models, bridging the gap from micro to macro scales.

This study expands the odd-elastic description of microswimmers to a nonlinear regime and provides a unified framework for studying non-local, non-reciprocal interactions of an elastic material in a viscous fluid, like biological flagellar motion.

In this study, resource foraging is analyzed using the framework of “Semantic Information theory” predicting a sharp transition in the forager’s expected lifetime as correlations with the environment are scrambled.

In this study, the authors introduce an abstract model that describes the origins of multi- and single-state protein allostery, demonstrating how evolution might favor the former.

Molecular interactions at low concentrations transmit information with low capacity; this study explores how universal features of this bottleneck influence the representation of positional information by the gap genes in the fly embryo.

In this work, authors introduce a dynamic vertex model incorporating strain-induced tension remodeling and mechanical memory dissipation to explain topological transitions commonly observed in epithelial tissues.

This study presents a model of cell motility that explains the initiation of cell motion by a symmetry-breaking instability and reveals that complex cell behaviors - from motility to shape selection - are governed by dynamic activities at the cell edge.

This research reveals that living particle aggregates rotate spontaneously due to defect formation and identifies a critical droplet size where order evolves into turbulence, as observed in experiments.

In this study, novel metrics and simulations of experimentally-supported discrete dynamical models of cell processes reveal greater resilience to perturbation than previously observed, challenging the ‘edge of chaos’ theory for biological systems.

Novel analysis tools reveal that stress granules show different affinities to filamentous actin and microtubules, leading to robust stress granule positioning through coupling to actin flow and wetting of microtubules.

In this study, the authors introduce a high-throughput imaging technique to investigate the influence of subtle genetic mutations on the multicellular organization of Myxococcus xanthus under controlled environmental conditions.

In this study, interaction modulation is proposed as a new paradigm for controlling transitions between functional configurations of complex biological systems, in contrast to traditional approaches based on input modulation.

Using the algal Rubisco-EPYC1 system as a model for biomolecular condensates, this study shows that the length of linker regions between interacting domains on phase-separating proteins can dramatically impact entropic costs and the propensity to form condensates.