The snapshot distribution of mRNA counts per cell can be measured using single-molecule
fluorescence in situ hybridization or single-cell RNA sequencing. These distributions are …

Stochastic gene expression dynamics can be modelled either discretely or continuously.
Previous studies have shown that the mRNA or protein number distributions of some simple …

The serial nature of reactions involved in the RNA life-cycle motivates the incorporation of
delays in models of transcriptional dynamics. The models couple a transcriptional process to …

The classical three-stage model of stochastic gene expression predicts the statistics of
single cell mRNA and protein number fluctuations as a function of the rates of promoter …

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

Gene expression inherently gives rise to stochastic variation (“noise”) in the production of
gene products. Minimizing noise is crucial for ensuring reliable cellular functions. However …

Classic models of cell size control consider that cells divide when reaching a threshold, eg,
size, age, or size extension. The molecular basis of the threshold involves multiple layers of …

We introduce a biologically detailed, stochastic model of gene expression describing the
multiple rate-limiting steps of transcription, nuclear pre-mRNA processing, nuclear mRNA …

We consider a protein that negatively regulates the rate with which a cell grows. Since less
growth means less protein dilution, this mechanism forms a positive feedback loop on the …

The snapshot distribution of mRNA counts per cell can be readily measured using single
molecule FISH or single-cell RNA sequencing. These distributions are often fit to the steady …