Single-cell gene expression patterns in the brain, and evidence from follow-up experiments, reveal many shared cellular and molecular similarities that could be targeted for potential treatment.

Researchers also found that a variant of the protein is not as protective against the bacteria and increases susceptibility to the disease.

With the new technique, MIT researchers hope to identify mutations that could be targeted with new cancer therapies.

A new study finds precancerous colon cells turn on a gene called SOX17, which helps them evade detection and develop into more advanced tumors.

MIT researchers can now track a cell’s RNA expression to investigate long-term processes like cancer progression or embryonic development.

MIT study suggests 3D folding of the genome is key to cells’ ability to store and pass on “memories” of which genes they should express.

MIT computer scientists developed a way to calculate polygenic scores that makes them more accurate for people across diverse ancestries.

New research finds RNA-guided enzymes called Fanzors are widespread among eukaryotic organisms.

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

By analyzing epigenomic and gene expression changes that occur in Alzheimer’s disease, researchers identify cellular pathways that could become new drug targets.