A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.

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.

An image-based multiplex autophagosome RNAi screen targeting all Rab GTPases as well as their GAPs and GEFs identifies the Rab GEF SMCR8 as multifaceted autophagy modulator, which regulates kinase activity and gene expression of ULK1.

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.

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.

A chromosome-wide mechanism balances X-linked gene expression between the sexes in C. elegans, but no similar chromosome-wide mechanism balances gene expression between X chromosomes and autosomes.

Multiple replicated examples of epistasis affecting gene expression in humans are identified, some explaining a substantial proportion of the variation in expression.

A widely studied chromatin modification associated with gene promoters is important for proper gene expression across organismal lifetime.

Embryonic gene expression is strongly influenced by maternal genetic variation and by embryonic variation that acts in cis but not in trans.

TGFβ and serotonin signaling in a neural circuit encodes food availability; these signals regulate the dynamic range and variability on the circuit to impact coding accuracy and lifespan responses.