Understanding lipid composition of ant fungal gardens provides new knowledge on interkingdom communications band and also advances toward the development of microbial systems that can produce valuable compounds from plant biomass.
PNNL highlights four researchers whose joint appointments are creating new and diverse opportunities for expanding knowledge and scientific impact across institutions.
The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.
Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.
Twelve researchers from PNNL presented at the 2020 Metabolomics Association of North America virtual conference in mid-September. Their presentations included a plenary talk, keynote talks, oral presentations, posters, and a lightning talk.
Pacific Northwest National Laboratory (PNNL) is part of a continuing National Science Foundation (NSF) team investigating the environmental impact of nanoparticles at the molecular level.
Researchers from PNNL have helped colleagues at OHSU identify lipid molecules required for Zika infection in human cells. The specific lipids involved could also be a clue to why the virus primarily infects brain tissue.
Researchers from 25 institutions around the country, including PNNL, are working to find out how exercise changes the molecular makeup of our cells to generate health benefits.
After 50 years in science and on the eve of retirement, Laboratory Fellow Karin Rodland, a cancer cell biologist at PNNL, is working on experiments she has dreamed about for decades.
Accurate identification of metabolites, and other small chemicals, in biological and environmental samples has historically fallen short when using traditional methods.
A new study using proteogenomics to compare cancerous tissue with normal fallopian tube samples advances insights about the molecular machinery that underlies ovarian cancer.
