On April 29, 2021, Berkeley Lab hosted a second workshop to identify the most pressing barriers to wider adoption of single-cell sequencing and omics technologies, and to discuss solutions to remedy those barriers in order to drive discovery. The workshop report is now available for download.
The JGI’s Ben Cole is one of five Berkeley Lab scientists selected by the U.S. Department of Energy’s Office of Science to receive funding through the Early Career Research Program (ECRP). Under the program, researchers based at DOE national laboratories will receive $500,000 per year, for five years, to cover salary and research expenses.
His award is for a project that will employ sequencing and molecular profiling techniques to examine the genes and gene-regulating processes underlying how individual cells in two prominent bioenergy crops – sorghum and switchgrass – respond to drought and nutrient limitation.
On January 23, 2020, Berkeley Lab hosted a workshop on opportunities afforded by single-cell technologies for energy and environmental science, as well as conceptual and technological grand challenges that must be tackled to apply these powerful approaches to plants, fungi and algae. This event, which was spearheaded by Diane Dickel in the Environmental Genomics and Systems Biology Division, brought together a diverse group of leaders in functional genomics technologies from academia, the National Laboratories, and local research institutions.
The projects of 15 Biosciences Area scientists and engineers received funding through the FY21 Laboratory Directed Research and Development (LDRD) program.
Researchers led by Diane Dickel have successfully adapted an open-source RNA analysis platform to study gene expression in individual plant cells. The method, called Drop-seq, was developed at Harvard Medical School in 2015 and had previously been used only in animal cells. Dickel and her colleagues at the DOE Joint Genome Institute (JGI) teamed up with researchers from UC Davis who had perfected a protoplasting technique for root tissue from Arabidopsis thaliana (mouse-ear cress). After preparing samples of more than 12,000 Arabidopsis root cells, the group was thrilled when the Drop-seq process went smoother than expected. Their results were published in Cell Reports.