New research findings published in Science Advances (November 2022), help explain the progression of Alzheimer-related dementia in each patient. The findings outline a biological classification system that predicts disease severity.
Scientists at the UC San Francisco (UCSF) Quantitative Biosciences Institute (QBI) and the QBI Coronavirus Research Group (QCRG) have been awarded $67.5 million from the National Institute of Allergy and Infectious Diseases (NIAID) to support its mission of pandemic preparedness.
E-cigarette exposure stresses and inflames the lungs of rats, compromising important quality control proteins, according to new research.
Through large-scale profiling of protein changes in response to drug treatments in cancer cell lines, researchers at The University of Texas MD Anderson Cancer Center have generated a valuable resource to aid in predicting drug sensitivity, to understand therapeutic resistance mechanisms and to identify optimal combination treatment strategies.
J. Silvio Gutkind, PhD, has been named chair of the Department of Pharmacology at UC San Diego School of Medicine.
Significance of paperThis paper authored by a group of scientists from the Center for Global Infectious Disease Research at Seattle Children’s Research Institute presents a promising concept for disrupting the life cycle of a virus using synthetic lethality. When viruses infect…
Researchers use a novel integrative approach to examine function and proteins expressed by a highly specialized segment of the kidneys in a new study published ahead of print in the journal Function. Current technology makes it possible to analyze molecules…
Argonne scientists are working around the clock to analyze the virus to find new treatments and cures, predict how it will propagate through the population, and make sure that our supply chains remain intact.
Scientists have taken an unprecedented look at proteins involved in endometrial cancer, commonly known as uterine cancer. The study offers insights about which patients will need aggressive treatment and which won’t, and offers clues about why a common cancer treatment is not effective with some patients.