Latest News

November 11, 2013
UCSF scientists were able to arrest, and even reverse, tissue scarring of the liver, kidneys and lungs in mice. The scarring, also known as fibrosis, is a major factor in nearly half of all deaths in developed countries.
November 07, 2013
When it comes to genes, a UCSF scientist wants to turn conventional wisdom about human and bacterial evolution on its head.
October 14, 2013
Through support from the Catalyst Awards, UCSF researcher Aditi Bhargava is working to develop a method for delivering small-molecules to a specific target group of cells for treatment of pain.
October 11, 2013
The way cells divide to form new cells – to support growth, to repair damaged tissues, or simply to maintain our healthy adult functioning – is controlled in previously unsuspected ways, UCSF researchers have discovered.
October 01, 2013
UCSF researchers received six of 78 awards announced this week by the National Institutes of Health for innovative, high-risk, high-reward research.
September 17, 2013
One of UC San Francisco’s newest faculty members is receiving the National Science Foundation’s Expeditions in Computing award as part of a multi-investigator team working to establish solid foundations for molecular programming.
September 15, 2013
A new link between meal times and daily changes in the immune system has been identified by UCSF researchers, and has led them to question assumptions about the roles of specific immune cells in infection and allergy.
August 19, 2013
UCSF scientists working in the lab used a chemical found in an anti-wrinkle cream to prevent the death of nerve cells damaged by mutations that cause an inherited form of Parkinson’s disease.
August 12, 2013
Researchers have probed deep into the cell’s genome to begin learning the “grammar” that helps determine whether or not a gene gets switched on to make the protein it encodes, advancing efforts to use gene and cell-based therapies to treat disease.
August 08, 2013
A team of investigators led by UCSF and the Gladstone Institutes has found a way to map an enzyme’s underlying molecular machinery, revealing patterns that could allow them to predict how an enzyme behaves – and what happens when this process disrupted.

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