A diode beamstop technology for real time X-ray beam intensity measurement, developed by Diane Bryant and Simon Morton at the Berkeley Center for Structural Biology, was licensed to MiTeGen, which will commercialize a product to enhance X-ray beamlines used for pharma, materials, and biotech research. The Innovation and Partnerships Office managed the licensing process. Read more at IPO.
Berkeley Lab Researchers Develop New Weapon in the Fight Against Breast Cancer
Mina Bissell, Curt Hines, and Irene Kuhn of the Biological Systems & Engineering Division led the development of the first clinically-relevant mouse model of human breast cancer to successfully express functional estrogen receptor positive adenocarcinomas. This model should be a powerful tool for testing therapies for aggressive ER+ breast cancers and for studying luminal cancers. Read more at the Berkeley Lab News Center.
BCSB Helps Shed Light on Why Brain Responds to Dopamine and Serotonin
Scientists working at the Berkeley Center for Structural Biology in the Advanced Light Source (ALS) recently solved the crystallographic structures of several amine transporters in an effort to better understand why the human brain responds to chemicals like dopamine and serotonin. Their findings will help design drugs to treat neurological diseases and may also lead to a better understanding of how drug addiction can be managed. The work was led by HHMI Investigator Eric Gouaux of the Oregon Health & Science University. Read the ALS Science Highlight.
Computational Researchers Test Advanced Machine Learning Tools for HPC
Deep learning is not a new concept in academic circles or behind the scenes at “Big Data” companies like Google and Facebook, where algorithms for automated pattern recognition are a fundamental part of the infrastructure. A collaborative effort at Berkeley Lab is working to apply deep learning software tools developed for high performance computing environments to a number of “grand challenge” science problems running computations at the National Energy Research Scientific Computing Center (NERSC) and other supercomputing facilities. Researchers in Berkeley Lab’s Biological Systems and Engineering Division, including Kris Bouchard, are using a deep learning library to analyze recordings of the human brain during speech production. More information about deep learning at NERSC.
Maxon Testifies Before House Subcommittee on Research & Technology
The Dec. 8 U.S. House of Representatives Subcommittee hearing looked at “The Future of Biotechnology: Solutions for Energy, Agriculture and Manufacturing.” Witnesses, including Biosciences Principal Deputy Mary Maxon, provided an overview of new and emerging technologies, their current and potential applications, and the role of the federal government in funding and regulation. This is a Subcommittee of the House Committee on Space, Science, and Technology, which is chaired by Lamar Smith (R- Texas). Watch the testimony in the Subcommittee archives.
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