The U.S. Department of Energy (DOE) Bioenergy Technologies Office (BETO) announced the selection of three external collaborations totaling $1 million to conduct research and development needed to accelerate the U.S. biomanufacturing sector. Investigators at minority serving institutions (MSI) will receive funding to conduct research at their parent institutions. This research will support the advancement of their technologies and position awardees to more fully leverage the BETO-funded Agile BioFoundry (ABF) consortium’s technical capabilities in future projects.
Genetic Background Influences Cancer Risk of Thirdhand Smoke Exposure
A new study investigating the effect of thirdhand smoke (THS) in a mouse model system specially designed to mimic the genetic diversity of human populations has shed new light on how genetic predispositions contribute to an individual’s cancer risk. This work is an instrumental step towards building a more realistic understanding of how tobacco smoke residue could impact cancer risk in people.
Multi-lab Separations Consortium Aims to Decarbonize Biofuels
The Bioprocessing Separations Consortium, originally established in 2016 by the U.S. Department of Energy’s (DOE) Bioenergy Technologies Office (BETO) and led by Argonne National Laboratory, recently received a three year funding renewal to continue advancing separations technologies critical to converting biomass to low-carbon biofuel. The Biosciences Area’s Advanced Biofuels and Bioproducts Process Development Unit (ABPDU) represents Berkeley Lab as a partner in the consortium.
Helping to Build the Bioeconomy of California’s Northern San Joaquin Valley
As part of a newly established collaborative, Lawrence Berkeley National Laboratory (Berkeley Lab) will co-lead an effort to establish a bioindustrial manufacturing capability in California’s Northern San Joaquin Valley.
Machine Learning Helps Link Chemical Exposure and Obesity
Scientists at Berkeley Lab and their collaborators developed a machine learning technique to discover obesity-related mixed chemical exposure patterns associated with environmental health risk in the general U.S. population. To assess this, they used indicators like body mass index and waist circumference.
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