Robert Langer wins BBVA Foundation Frontiers of Knowledge Award
Institute Professor honored for groundbreaking work in nucleic acid delivery and nanoparticles.
Institute Professor honored for groundbreaking work in nucleic acid delivery and nanoparticles.
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.
MIT neuroscientists expand CRISPR toolkit with new, compact Cas7-11 enzyme.
Following the successful development of vaccines against Covid-19, scientists hope to deploy mRNA-based therapies to combat many other diseases.
Competitive seed grants launch yearlong investigations of novel hypotheses about potential causes, biomarkers, treatments of Alzheimer’s and ALS.
Postdoc Digbijay Mahat became a cancer researcher to improve health care in Nepal, but the Covid-19 pandemic exposed additional resource disparities.
The technique can help predict a cell’s path over time, such as what type of cell it will become.
A pill that releases RNA in the stomach could offer a new way to administer vaccines, or to deliver therapies for gastrointestinal disease.
Using a new robotic platform, researchers can simultaneously track hundreds of microbial populations as they evolve new proteins or other molecules.
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
A new RNA-based control switch could be used to trigger production of therapeutic proteins to treat cancer or other diseases.
Exploring diversity among bacterial immune systems, McGovern Institute scientists uncovere a programmable system for precisely targeting and modifying RNA.
Researchers find RNA-guided enzymes are more diverse and widespread than previously believed.
Made of components found in the human body, the programmable system is a step toward safer, targeted delivery of gene editing and other molecular therapeutics.
Four times faster than conventional PCR methods, new RADICA approach is highly specific, sensitive, and resistant to inhibitors.