Science continues to peel away layers of the skin microbiome to reveal its protective properties. In a study published in Science Advances on February 28, University of California San Diego School of Medicine researchers report a potential new role for some bacteria on the skin: protecting against cancer.
Writing in the February 27 online issue of Science Signaling, researchers at University of California San Diego School of Medicine and Moores Cancer Center describe how a signaling protein that normally suppresses tumors can be manipulated (or re-programmed) by growth factors, turning it into a driver of malignant growth and metastasis.
A new computational resource called Recon3D provides a 3D view of genes, proteins and metabolites involved in human metabolism. Researchers used the tool to map disease-related mutations on proteins and also probed how genes and proteins change in response to certain drugs. The work provides a better understanding of disease-causing mutations and could enable researchers to discover new uses for existing drug treatments.
Led by researchers at University of California San Diego School of Medicine, a diverse team of neuroscientists and surgeons successfully grafted human neural progenitor cells into rhesus monkeys with spinal cord injuries. The grafts not only survived, but grew hundreds of thousands of human axons and synapses, resulting in improved forelimb function in the monkeys.
The University of California San Diego Department of Music is well known for its emphasis on experimental music and sound in composition, performance and scholarship, and brings this to the forefront at a special two-day conference March 2-3. “Sonic Fluidities: An Interdisciplinary Graduate Conference” is the first of its kind at UC San Diego, organized by a committee of current Integrative Studies program students. Through presentations, performances and installations, the inaugural conference uses the metaphor of fluidity to explore the social position of sound and music through time and genre.
Using artificial intelligence and machine learning techniques, researchers at Shiley Eye Institute at UC San Diego Health and University of California San Diego School of Medicine, with colleagues in China, Germany and Texas, have developed a new computational tool to screen patients with common but blinding retinal diseases, potentially speeding diagnoses and treatment.
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