Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.
Up to one-third of the carbon consumed by Prochlorococcus may come from sources other than photosynthesis.
By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.
MIT researchers demonstrate an intracellular antenna that's compatible with 3D biological systems and can operate wirelessly inside a living cell.
A new model that maps developmental pathways to tumor cells may unlock the identity of cancers of unknown primary.
Stacy Springs named executive director; Richard Braatz is associate faculty director.
Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.
Insight into the way the EGF receptor sends signals into cells could help researchers design new cancer drugs that target this protein.
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
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.
Rapid and accurate analytical test method enhances the production of high-quality cell therapy products.