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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...
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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...
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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...
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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 .
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The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
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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...
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Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Q Exactive™ Plus Mass Spectrometer benchtop LC-MS/MS system combines quadruple precursor ion selection with high-resolution, accurate-mass (HRAM) Orbitrap detection to deliver exceptional performance and versatility...
The Thermo Scientific™ Q Exactive™ GC hybrid quadrupole Orbitrap Mass Spectrometer provides an unmatched combination of sensitivity, mass-accuracy and resolving power in a single analysis for the highest confidence in compound discovery, identification, and quantitation. With best-in-class...
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Last updated on 2023-04-24T18:38:03+00:00 by LN Anderson Instrument Data Source Profile Instrument Name: Agilent DNA Microarray Scanner Model: G25025C Data Type: Microarray hybridisation data (mRNA, miRNA) Method Taxon: Expression profiling by array, Non-coding RNA profiling by array Topic Areas...
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...
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Biography Dr. Smith's research interests span the development of advanced analytical methods and instrumentation, with particular emphasis on high-resolution separations and mass spectrometry, and their applications in biological and biomedical research. This has included creating and applying new...
David Degnan is a biological data scientist who develops bioinformatic and statistical pipelines for multi-omics data, specifically the fields of proteomics, metabolomics, and multi-omics (phenotypic) data integration. He has experience with top-down & bottom-up proteomics analysis, genomics &...
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...