Uncovering how cells control their protein output
Gene-Wei Li investigates the rules that cells use to maintain the correct ratio of the proteins they need to survive.
Gene-Wei Li investigates the rules that cells use to maintain the correct ratio of the proteins they need to survive.
Those selected for these positions receive additional support to pursue their research and develop their careers.
Known as PASTE, the technique holds potential for treating a variety of diseases caused by faulty genes.
Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.
With NEET, Sherry Nyeo is discovering MIT’s undergraduate research community at the intersection of computer science and biological engineering.
Study indicates ailing neurons may instigate an inflammatory response from the brain’s microglia immune cells.
A computational analysis reveals that many repetitive sequences are shared across proteins and are similar in species from bacteria to humans.
Assistant Professor Ariel Furst and her colleagues are looking to DNA to help guide the process.
Johannes Kalliauer of MIT CSHub uses civil engineering principles to shed new light on molecular dynamics, concrete hinges, and flooding.
Alex Shalek’s technologies for single-cell RNA profiling can help dissect the cellular bases of complex diseases around the globe.
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.
Study finds genome loops don’t last long in cells; theories of how loops control gene expression may need to be revised.
The MIT biologist’s research has shed light on the immortality of germline cells and the function of “junk DNA.”
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.