Soil microorganisms play fundamental roles in cycling of soil carbon, nitrogen, and other nutrients, yet we have a poor understanding of how soil microbiomes are shaped by their nutritional and physical environment. In this study, we investigated the successional dynamics of a soil microbiome during...
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The novel fungal strain, Fusarium sp. DS 682, was isolated from the rhizosphere of the perennial grass, Bouteloua gracilis , at the Konza Prairie Biological Station in Kansas. This fungal strain is common across North American grasslands and is resilient to environmental fluctuations. The draft...
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Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots...
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A major challenge in biotechnology and biomanufacturing is the identification of a set of biomarkers for perturbations and metabolites of interest. Here, we develop a data-driven, transcriptome-wide approach to rank perturbation-inducible genes from time-series RNA sequencing data for the discovery...
HDF5 file containing 10,000 hydraulic transmissivity inputs and the corresponding hydraulic pressure field outputs for a two-dimensional saturated flow model of the Hanford Site. The inputs are generated by sampling a 1,000-dimensional Kosambi-Karhunen-Loève (KKL) model of the transmissivity field...
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...
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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...
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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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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)...
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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...
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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...
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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...
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Please cite as : Zegeye E., C.J. Brislawn, Y. Farris, S.J. Fansler, K.S. Hofmockel, J.K. Jansson, and A.T. Wright, et al. 2019. WA-IsoC_NAG.1.0 (Amplicon 16S/ITS, WA). [Data Set] PNNL DataHub. https://dx.doi.org/10.25584/data.2019-02.700/1506698 Investigation of the successional dynamics of a soil...
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