A near-complete flux balance analysis model of a minimal cell demonstrates the high essentiality of its metabolic genes, agrees well with experimental essentiality data and suggests some further gene removals.

Pooled CRISPR knockout screening in Drosophila cells enables high-resolution, genome-wide functional genomic comparisons in cell-lines across vast evolutionary distance.

Heterochromatic sequences evolve rapidly, as do ZAD-ZNF genes-encoding proteins involved in heterochromatin functions, explaining why evolutionarily dynamic ZAD-ZNF genes are more likely to be essential in Drosophila.

Extending the period of remission for cancer patients requires new knowledge of dormant, residual disease and Netrin signaling contributes to the survival of dormant cells in ovarian cancer.

The mechanistic impact of genetic variants can be combined with previous knowledge on gene function to deliver conditional growth predictions and pave the way for personalized genetic interventions.

Systematic CRISPR-based editing of tRNA genes revealed that different human cells that span a range of growth rates and different modes of proliferation states require diverse tRNA sets.

shinyDepMap helps users explore the essentiality, selectivity, and function of the genes across hundreds of cancer cell lines and identify cancer drug targets.

Cancer metastasis modulator MEMO1 binds iron and is involved in regulating iron homeostasis in cancer cells.

Modeling all the chemical reactions that take place in a minimal cell will help us to understand the fundamental interactions that power life.

Experimental evolution reveals how adaptation by increased expression of a gene depends on a combination of simple genetic properties of the gene's neighbors on the DNA.