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Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson MERS-CoV Experiment MCL002 The purpose of this experiment was to evaluate the human host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (MERS-CoV) and mutants icMERS-RFP, icMERS-DNSP16, and icMERS-d4B virus infection...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson MERS-CoV Experiment MCL001 The purpose of this experiment was to evaluate the human host response to wild-type Middle Eastern Respiratory Syndrome coronavirus (MERS-CoV), and mutants icMERS-CoV-RFP, icMERS-CoV-dNSP16, icMERS-CoV-d4B, and...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNaHUH001 The purpose of this experiment was to evaluate the human host cellular response to treatment with and without interferon alpha/beta (IFNα/β) treatment. Sample time course data was obtained from human hepatoma...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNMVE001 The purpose of this experiment was to evaluate the human host interferon-stimulated cellular response to interferon alpha/beta (IFNαβ) or gamma (INFγ) treatment. Sample data was obtained from primary lung...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNFB001 The purpose of this experiment was to evaluate the human host cellular response to interferon alpha/beta (IFNα/β) or interferon gamma (IFNγ) treatment. Sample data was obtained from primary human lung fibroblast...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNaIHH001 The purpose of this experiment was to evaluate the host interferon-stimulated cellular response to interferon alpha (IFNα) treatment. Sample data was obtained from human immortalized human hepatocyte cells (IHH...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Interferon Experiment IFNaCL001 The purpose of this experiment was to evaluate the host interferon-stimulated cellular response to interferon alpha (IFNα) treatment. Sample data was obtained from human lung adenocarcinoma cells (Calu-3)...

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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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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Human infections caused by viral pathogens trigger a complex gamut of host responses that limit disease, resolve infection, generate immunity, and contribute to severe disease or death. Here, we present experimental methods and multi-omics data capture approaches representing the global host...

The Sequel II System Sequencer is a high-throughput DNA sequencer machine developed and manufactured by PacBio , and is designed for high throughput, production-scale sequencing laboratories. Originally released in 2015, the Sequel system provides Single Molecule, Real-Time (SMRT) sequencing core...

Biography Bobbie-Jo Webb-Robertson has 20 years of experience in the statistics and data science fields. She currently serves as the chief scientist of computational biology in the Biological Sciences Division at PNNL. Her research portfolio is largely related to the biomedical field and primarily...

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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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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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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