The specification of a very small number of progenitor cells with competence to adapt their neurogenic output to different probabilistic rules underlies the generation of distinct cortical cytoarchitectures.

Early IFN-I response dynamics are initiated in only fractions of cells, of which their epigenetic profile is transiently heritable and subject to the effects of quorum sensing.

The timing and outcome of mammalian cell lineage decisions can be controlled by slow, stochastic events on individual regulatory gene loci.

Clonal tracing in vivo and quantitative modeling in silico reveal a unique mode of tissue growth and structural remodeling of the biliary system, providing an insight into the cellular basis for robust liver regeneration.

Heterogeneous distances between vesicles and Ca²⁺-channels make synapses prone to short-term depression, however, Ca²⁺-dependent increases in the number of release-ready vesicles supports facilitation even with broadly distributed vesicle:Ca²⁺-channel distances.

A mathematical model that combines stochasticity and spatial structure describes the dynamics of the viral population during an infection cycle, and fitting the model to RNA and virus abundances over time shows that poliovirus follows a geometric replication mode.

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.

A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.

Fluctuations in the availability of particles for binding can completely jeopardize yield in heterogeneous self-assembly.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.