Stochastic tuning of gene expression could be a common mechanism through which eukaryotic cells adapt to challenging external environments, potentially including survival of infectious organisms within the host and adaptation of cancer cells to chemotherapy.

How gene expression noise is regulated is critical for cell fate and tissue patterning.

A new high-throughput method for single-cell RNA-seq in yeast cells shows how stochastic expression of glucose-repressed genes contributes to cell-to-cell differences during adaptation to an environmental change.

The timing and outcome of mammalian cell lineage decisions can be controlled by slow, stochastic events on individual regulatory gene loci.

A combined experimental and modeling approach provides insight into potential biases when inferring transcription rates from static mRNA distributions, and shows that correcting for cell-cycle phase and post-transcriptional noise provides rates that agree with live-cell transcription measurements.

Stochastic cell migration modulates exposure to signals that regulate commitment in the nephron progenitor niche.

Quorum sensing enables heterogeneous production of autoinducers in microbial populations, suggesting an alternative mechanism to stochastic gene expression in bistable gene-regulatory circuits to control phenotypic heterogeneity.

Network architecture and physiological features of the cell dictate asymmetric gene regulation between a negative autoregulatory TF gene and its target gene.

Mathematical and experimental characterization of DUX4 expression dynamics in facioscapulohumeral muscular dystrophy muscle fibers, provides insights into pathology and open-source tools for in silico investigation of anti-DUX4 therapy.

Quantitative statistical modelling reveals local coordination of stochastic gene transcription dynamics in pituitary tissue, which is relevant for integrated tissue responses to physiological stimuli.