Two zebrafish Keap1-paralogs are equally adept at electrophile-sensing but manifest divergent and co-regulatory electrophile-signaling behaviors.

Single-cell data analysis must be guided by an underlying model.

The impact of changing gene expression noise on fitness reveals beneficial or deleterious effects in a stable environment depending how close the average expression level is to the fitness optimum.

Transcriptional activation domains achieve rapid, dynamic, specific interaction with Mediator through binding of an unstructured peptide to multiple hydrophobic surfaces without particular amino acid side chain interactions.

Noise in a signaling network comprising thousands of molecules shapes diversity across cell populations and generates giant temporal fluctuations at the single-cell level.

A physics-based, statistically rigorous mathematical model enables automated, objective interpretation of images from single-molecule fluorescence colocalization microscopy experiments.