Analysis of the global genetic requirements and gene expression changes in E. coli in the presence of a simple microbiome revealed pairwise and higher-order interactions, and underlying molecular mechanisms.
A new computational framework provides a flexible and general approach for single and collective biological motion characterisation and phenotyping ideally suited for high-throughput timelapse screens.
A computational model shows that natural selection can cause populations to evolve a distinctive population-level phenotype: the ability to transition between collective states in response to the environment.
Microtubule streaming driven by molecular motors covers characteristic times that span several orders of magnitude from fast, single-microtubule sliding on molecular scales to slow, collective motion on cellular scales.
A computational model, based on single-cell features like contractility and polarizability, quantitatively describes cellular dynamics from the single cell level up to small cohorts and confluent tissues.