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)...
"Deconstructing the Soil Microbiome into Reduced-Complexity Functional Modules" The soil microbiome represents one of the most complex microbial communities on the planet, encompassing thousands of taxa and metabolic pathways, rendering holistic analyses computationally intensive and difficult. Here...
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...
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...
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...
PerCon SFA, Co-Investigator Vivian Lin earned her PhD in organic chemistry from the University of California, Berkeley with Professor Chris Chang, developing fluorescent probes for imaging redox active small molecules. Afterward, she traveled to Switzerland for a postdoctoral fellowship in the...
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...
