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.

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.

Definition of leukemia gene expression mechanisms reveals general principles of cancer gene control and offers a pharmacologic strategy for its therapeutic reprogramming.

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.

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

microRNA-1 plays an essential role in the development and functioning of the heart by ensuring that genes for striated, rather than smooth, muscle are expressed there.

Similar evolutionary pressures on gene expression between human and chimpanzee populations contribute to the observation that inter-individual gene expression variability is similar across genes in these species.

A novel algorithm, consensus non-negative matrix factorization (cNMF), accurately identifies gene expression programs underlying cell-type identity and cellular activities from single-cell RNA-Seq data.

Global gene expression control mechanisms are modeled using a large dataset consisting of absolute-quantitative proteomics, transcriptomics, and partial metabolomics of Saccharomyces cerevisiae at a wide range of growth conditions.