Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.

Enhancing activity of a specific component of neurons’ “NMDA” receptors normalized protein synthesis, neural activity, and seizure susceptibility in the hippocampus of fragile X lab mice.

New methods light up lipid membranes and let researchers see sets of proteins inside cells with high resolution.

The programmable proteins are compact, modular, and can be directed to modify DNA in human cells.

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Tissue processing advance can label proteins at the level of individual cells across large samples just as fast and uniformly as in dissociated single cells.

Chronic diseases like diabetes are prevalent, costly, and challenging to treat. A common denominator driving them may be a promising new therapeutic target.

A new gene-silencing tool shows promise as a future therapy against prion diseases and paves the way for new approaches to treating disease.