Recent experimental developments in genome-wide RNA quantification hold considerable
promise for systems biology. However, rigorously probing the biology of living cells requires …

Stochastic models of gene expression are typically formulated using the chemical master
equation, which can be solved exactly or approximately using a repertoire of analytical …

The question of how cell-to-cell differences in transcription rate affect RNA count
distributions is fundamental for understanding biological processes underlying transcription …

Gene expression in individual cells is highly variable and sporadic, often resulting in the
synthesis of mRNAs and proteins in bursts. Such bursting has important consequences for …

Metabarcoding is a powerful molecular tool for simultaneously surveying hundreds to
thousands of species from a single sample, underpinning microbiome and environmental …

The chemical master equation and the Gillespie algorithm are widely used to model the
reaction kinetics inside living cells. It is thereby assumed that cell growth and division can be …

Genetically identical cell populations exhibit considerable intercellular variation in the level
of a given protein or mRNA. Both intrinsic and extrinsic sources of noise drive this variability …

Homogeneous cell populations can exhibit considerable cell-to-cell variability in protein
levels arising from the stochastic nature of the gene-expression process. In particular …

Recent experimental results indicate that, in single Escherichia coli cells, the fluctuations in
mRNA level are uncorrelated with those of protein. However, a basic two-stage model for …

Multimodal, single-cell genomics technologies enable simultaneous measurement of
multiple facets of DNA and RNA processing in the cell. This creates opportunities for …