The idea that gene activity can be discontinuous will not surprise many biologists–many
genes are restricted in when and where they can be expressed. Yet during the past 15 …

INTRODUCTION Fluctuations have long been known to dynamically shape microstate
distributions in physical systems. Throughout engineering,“dithering” approaches that …

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 …

Many cellular processes are governed by stochastic reaction events. These events do not
necessarily occur in single steps of individual molecules, and, conversely, each birth or …

Many models of gene expression do not explicitly incorporate a cell cycle description. Here,
we derive a theory describing how messenger RNA (mRNA) fluctuations for constitutive and …

Gene expression has inherent stochasticity resulting from transcription's burst manners.
Single-cell snapshot data can be exploited to rigorously infer transcriptional burst kinetics …

Classical gene expression models assume exponential switching time distributions between
the active and inactive promoter states. However, recent experiments have shown that many …

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 …

Revealing how transcriptional bursting kinetics are genomically encoded is challenging
because genome structures are stochastic at the organization level and are suggestively …

Gene-expression bimodality, as a potential mechanism generating phenotypic cell diversity,
can enhance the survival of cells in a fluctuating environment. Previous studies have shown …