Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Ebola Virus Experiment EIHH001 This experiment evaluated Immortalized Human Hepatocyte ( IHH ) cell line host response to wild-type Ebola viruses Zaire Ebola (ZEBOV '76) and Reston Ebola (REBOV '08) viral infection. Processed Transcriptome...
Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Ebola Virus Experiment EIHH002 This experiment evaluated Immortalized Human Hepatocyte ( IHH ) cell line host response to response to genetically-reconstructed Zaire Ebola virus infection. Processed Transcriptome Data Unavailable
MERS-CoV Experiment MDC001 Processed Omics Data Unavailable This experiment evaluated primary human dendritic cells infected with a wild type MERS-CoV (icMERS) virus. Related Experimental Data BioProject: PRJNA315103 GEO: GSE79172 (mRNA transcriptome response) Acknowledgment of Federal Funding The...
Influenza A Experiment IM104 Processed Omics Data Unavailable This Influenza experiment evaluated mouse lung expression after etoposide treatment and infection with a pandemic H1N1 influenza strain. Related Experimental Data BioProject: PRJNA382278 GEO: GSE97555 (mRNA transcriptome response)...
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from KPBS field site in Manhattan, KS. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from COBS field site in Boone County, IA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from IAREC field site in Prosser, WA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
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...
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...
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...
Please cite as : Anderson L.N., W.C. Nelson, J.E. McDermott, R. Wu, S.J. Fansler, Y. Farris, and J.K. Jansson, et al. 2020. WA-TmG.1.0 (Metagenome, WA). [Data Set] PNNL DataHub. https://doi.org/10.25584/WATmG1/1635002 To enable a comprehensive survey of the metabolic potential of complex soil...
