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 …

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 …

A central challenge in computational modeling of dynamic biological systems is parameter
inference from experimental time course measurements. However, one would not only like …

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 …

Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers
measured using smFISH (single molecule fluorescence in situ hybridization) with the …

The standard model describing the fluctuations of mRNA numbers in single cells is the
telegraph model which includes synthesis and degradation of mRNA, and switching of the …

Over the last few years, experimental data on the fluctuations in gene activity between
individual cells and within the same cell over time have confirmed that gene expression is a …

A general dynamic description of protein synthesis was employed to quantify different
sources of gene expression noise in cellular systems. To test our approach, we use time …

Gene expression is stochastic and displays variation (“noise”) both within and between cells.
Intracellular (intrinsic) variance can be distinguished from extracellular (extrinsic) variance …

Two-state models (telegraph-like models) have a successful history of predicting
distributions of cellular and nascent mRNA numbers that can well fit experimental data …