It is now generally accepted that macromolecules do not act in isolation but “live” in a
crowded environment, that is, an environment populated by numerous different molecules …

Gene regulatory networks drive the specific transcriptional programmes responsible for the
diversification of cell types during the development of multicellular organisms. Although our …

Gene expression models, which are key towards understanding cellular regulatory
response, underlie observations of single-cell transcriptional dynamics. Although RNA …

Identifying the sources of cell-to-cell variability in signaling dynamics is essential to
understand drug response variability and develop effective therapeutics. However, it is …

A challenge in quantitative biology is to predict output patterns of gene expression from
knowledge of input transcription factor patterns and from the arrangement of binding sites for …

Transcription is a dynamic process. To detect the dynamic relationship among protein
clusters of RNA polymerase II and coactivators, gene loci, and transcriptional activity, we …

Cell-to-cell variability within a clonal population, also known as non-genetic heterogeneity,
has created significant challenges for intervening with diseases such as cancer. While non …

We consider a stochastic model where a gene switches between two states, an mRNA
transcript is released in the active state, and subsequently it undergoes an arbitrary number …

How enhancers interpret morphogen gradients to generate gene expression patterns is a
central question in developmental biology. Recent studies have proposed that enhancers …

The RNA polymerase II (Pol II) elongation rate influences poly (A) site selection, with slow
and fast Pol II derivatives causing upstream and downstream shifts, respectively, in poly (A) …