In-lab evolution of synthetic promoters has revealed a novel general mechanism for de novo evolution of gene regulation, and highlights the crucial role of expression noise in this process.

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.

Direct measurements of retinoic acid using fluorescence lifetime imaging reveal a new role for cellular retinoic acid binding proteins in noise attenuation that is critical to sharpen hindbrain rhombomere boundaries.

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.

Time-lapse recording and theoretical analysis of individual cells isolated from the zebrafish segmentation clock reveal that they behave as self-sustained, autonomous oscillators with distinctive noisy dynamics.

The ability of cells to transmit information encoded in signaling dynamics is fundamentally limited by the gene decoding step.

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

Gene duplication is a useful strategy to reduce intrinsic noise in gene expression, which can provide a selective advantage in scenarios of cost-benefit analysis of expression.

Analysis of data on drug-gene interactions suggests that decentralized collaboration will increase the robustness of scientific findings in biomedical research.

Combining integrative genomics and systems biology approaches has revealed new and conserved features in the genome of human herpesvirus 6.