Self-activating Aurora B kinase, opposed by an inhibitory phosphatase, forms spatial phosphorylation patterns during cell division.

An ecological trade-off between growth and death enables microbes with different dispersal strategies to coexist on particulate matter in the oceans.

Laboratory experiments using a microbial community and mathematical modeling reveal how environmental disturbances can predictably alter the diversity and composition of an ecosystem.

Opposite neurons in multisensory areas compute the cue disparity information essential for information segregation.

Quantitative live imaging assays reveal that multiple enhancers often fail to work in an additive fashion in the patterning of the Drosophila embryo, and sometimes even interfere with one another.

A synthetic quadrastable gene network provides a synthetic biology framework to study cell fate determination.

Data-driven mathematical modeling suggests that leading neural crest cells in a moving stream can robustly communicate with trailing cells by remodeling their extracellular matrix, thereby enabling long-distance collective migration.

Applying deep learning tools to pinpoint predictive gaps in behavioral cognitive modeling.

New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.

Preimplantation screening of embryos using polygenic risk scores may substantially reduce risk for a given complex disease, but this effect depends on several quantifiable factors and raises significant ethical issues.