Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Interferon-Stimulated Response to Virus Infection Background The human host Interferon ( IFN ) alpha, beta, and gamma participate in the body's natural immune response to lethal virus infection and disease. The...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to MERS-CoV Virus Infection Background Middle East Respiratory Syndrome coronavirus ( MERS-CoV ), part of the Coronaviridae family, is classified as a Category C priority pathogen by the National Institute...
The Environmental Determinants of Diabetes in the Young (TEDDY) study is searching for factors influencing the development of type 1 diabetes (T1D) in children. Research has shown that there are certain genes that correlate to higher risk of developing T1D, but not all children with these genes...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson PNNL DataHub NIAID Program Project: Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collection Background The National Institute of Allergy and Infectious Diseases (NIAID) "Modeling Host...
PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...
Predictive Phenomics is addressing the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems .
The Diabetes Autoimmunity Study in the Young (DAISY) seeks to find environmental factors that can trigger the development of type 1 diabetes (T1D) in children. DAISY follows children with high-risk of developing T1D based on family history or genetic markers. Genes, diets, infections, and...
Machine learning is a core technology that is rapidly advancing within type 1 diabetes (T1D) research. Our Human Islet Research Network (HIRN) grant is studying early cellular response initiating β cell stress in T1D through the generation of heterogenous low- and high-throughput molecular...
Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to West Nile Virus Infection Background West Nile virus ( WNV ) belongs to the mosquito-borne Flaviviridae family and is classified as a Category A priority pathogen by the National Institute of Allergy and...
Biography Kristin Burnum-Johnson is a senior scientist and team lead of the Biomolecular Pathways team at PNNL. Burnum-Johnson earned her PhD in Biochemistry from Vanderbilt University with Professor Richard M. Caprioli and then completed a postdoctoral fellowship at PNNL with Dr. Richard D. Smith...
Biography Young-Mo Kim is a senior bioanalytical chemist at PNNL. He received his PhD from Pohang University of Science and Technology in the School of Environmental Science and Engineering, studying analysis of metabolites during the bacterial and fungal degradation of xenobiotic substrates using...
Biography Carrie Nicora is a senior research scientist (chemist III) at PNNL, specializing in high-throughput scientific research sample management using modular automation techniques for processing a wide range of biological specimens for proteomic, metabolomic, and lipidomic analysis. She is an...
Biography Ernesto Nakayasu is a senior research scientist focused on understanding molecular mechanisms of diseases. Nakayasu has been applying systems biology and mass spectrometry-based omics measurements to study how pathogens and metabolic alterations cause human diseases; the goal is to...
Last updated on 2024-03-21T18:47:20+00:00 by LN Anderson MPLEx Method Protocol for Integrative Single-Sample Processing for Subsequent Proteomic, Metabolomic, and Lipidomic Analyses Method Source Contributions LN Anderson , Data Curation The Metabolite, Protein and Lipid Extraction (MPLEx) method...
