Dataset - Omics, Transcriptomics Omics-Lethal Human Viruses, West Nile Experiment WGCN002

https://doi.org/10.25584/LHVWGCN002/1661957
Biology
Human Health
Integrative Omics
Virus
Viruses
Virology
Health

Omics-LHV, West Nile

Experiment WGCN002

 

The purpose of this West Nile experiment was to obtain samples for transcriptome analysis in mouse granule cell neurons infected with wild type West Nile virus (WNV-NY99 clone 382, WNVWT) and mutant virus (WNVE218A).

Overall Design: Granule cell neurons from day 6 C57Bl/6J mouse pups were infected with plasmid-derived wild type West Nile virus NY99 clone 382 (WNV-NY99 clone 382, WNVWT) or plasmid-derived West Nile virus NY99 clone 382 isogenic E218A mutant (WNVE218A) virus. Infection were done in triplicate with a multiplicity of infection (MOI) of 250. Time matched mocks were collected in parallel using cell media concentrated through ultracentrifugation and diluted as virus. Time points used were: 1, 8, 12, and 24 hrs post infection (miRNA: 12 hrs only).

See Experiment WGCN003 for corresponding independent biological replicate study. 

Processed Omics Data (available at download button):

Dataset downloads contain one or more statistically processed data file related to a lipidomic, transcriptomic, metabolomic, and/or proteomic dataset collection associated with a West Nile experimental study. 

 

Transcriptomics

mRNA

miRNA

Related Experimental Data

BioProject:  PRJNA282548, PRJNA282547

GEO:  GSE68380 (mRNA transcriptome response), GSE68381 (miRNA transcriptome response)

English
Projects (2)
Omics Lethal Human Viruses Project Profiling of the Host Response to West Nile Virus Infection, Processed Experimental Dataset Catalog
NIAID Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collections
People (3)
Lindsey N. Anderson

Lindsey Anderson’s research has been dedicated to the identification and characterization of novel, targeted and non-targeted, functional metabolic interactions using a high-throughput systems biology and computational biology approach. Her expertise in functional metabolism and multidisciplinary...

Jason McDermott

Dr. Jason McDermott, senior research scientist, has extensive research experience in molecular and structural virology and data resource design, data integration and prediction of biological networks, bridging experimental and computational biology. Currently, his research interests include data...

Katrina Waters

Dr. Katrina Waters is the division director for Biological Sciences at the Pacific Northwest National Laboratory. Waters has a Ph.D. in biochemistry and more than 15 years of experience in microarray and proteomics data analysis. Her research interests are focused on the integration of genomics...

Software (1)
pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data