In certain species of bacteria, the answer lies in shielding RNA transcripts from a quality-control factor called Rho. Understanding the requirements for expressible sequences is critical for expression engineering of therapeutic agents.
Neural interaction with bacteria has important effects on animal brains. A new study investigates how neurons sense bacteria by revealing, in nematodes, the bacterial signals that a key neuron detects.
SNIPE, a newly characterized biological defense system, directly protects bacteria by chopping up invading viral DNA.
Study finds a common bacterium can suppress the body’s early warning system in wounds, causing infections to persist and create an environment that allows other bacteria to take hold.
The method allows researchers to observe biomolecular complexes in a quick, accurate, and budget-friendly way, providing new insights into bacterial protein synthesis.
MIT researchers uncovered the roles of bacterial species from the environment as they consume biodegradable plastic.
The technology could enable fast, point-of-care diagnoses for pneumonia and other lung conditions.
A new study finds hitchhiking bacteria dissolve essential ballast in ubiquitous “snow” particles, which could counteract the ocean’s ability to sequester carbon.
While some N2O is produced naturally at the plant root, agricultural practices can increase its levels, to the detriment of some microbes that support plant growth.
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
By analyzing how Myobacterium tuberculosis interacts with the immune system, the associate professor hopes to find new vaccine targets to help eliminate the disease.
Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.
Using these antigens, researchers plan to develop vaccine candidates that they hope would stimulate a strong immune response against the world’s deadliest pathogen.
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.