By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.

Study finds the protein MTCH2 is responsible for shuttling various other proteins into the membrane of mitochondria. The finding could have implications for cancer treatments and MTCH2-linked conditions.

A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.

A computational analysis reveals that many repetitive sequences are shared across proteins and are similar in species from bacteria to humans.

A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.

The system rapidly scans the genome of cancer cells, could help researchers find targets for new drugs.

Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.

Family trees of lung cancer cells reveal how cancer evolves from its earliest stages to an aggressive form capable of spreading throughout the body.

A Climate Grand Challenges flagship project aims to reduce agriculture-driven emissions while making food crop plants heartier and more nutritious.

Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.