Polyploidy is a key mechanism of genome evolution and speciation, particularly in plants.
Many aspects of polyploidy have been elucidated with the tools that have become available …

Despite longstanding appreciation of gene expression heterogeneity in isogenic bacterial
populations, affordable and scalable technologies for studying single bacterial cells have …

Single‐cell RNA sequencing allows highly detailed profiling of cellular immune responses
from limited‐volume samples, advancing prospects of a new era of systems immunology …

Innate lymphoid cells (ILCs) can quickly switch from a quiescent state to an active state and
rapidly produce effector molecules that provide critical early immune protection. How the …

The stochasticity of gene expression presents significant challenges to the modeling of
genetic networks. A two-state model describing promoter switching, transcription, and …

Single-cell RNA-seq reveals the role of pathogenic cell populations in development and
progression of chronic diseases. In order to expand our knowledge on cellular …

Intracellular reaction rates depend on concentrations and hence their levels are often
regulated. However classical models of stochastic gene expression lack a cell size …

Cell-to-cell heterogeneity prevails in many systems, as exemplified by cell growth, although
the origin and function of such heterogeneity are often unclear. In plants, growth is physically …

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 …

Inside individual cells, protein population counts are subject to molecular noise due to low
copy numbers and the inherent probabilistic nature of biochemical processes. We …