Dataset - Omics, Proteomics, Transcriptomics, Metabolomics, Lipidomics OmicsLHV-MFB001

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https://doi.org/10.25584/LHVMFB001/1661935
Biology
Human Health
Health
Virus
Virology
Viruses

Omics-LHV, MERS

Experiment MFB001

 

The purpose of this MERS experiment was to obtain samples for omics analysis in primary human fibroblast response infected with wild-type MERS-CoV (icMERS-CoV).

Overall Design: Human primary fibroblasts were infected in a multiplicity of 5 PFU per cell.  Infected samples were collected in quintuplet and time-matched with mocks samples in parallel. Transcriptome and Mass spectrometry sample time points:  0, 12, 24, 36, and 48 hrs post-infection (miRNA: 12, 24, and 36 hrs only).

MERSCOV003.0P references the write up of the experimental procedure.

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 an icMERS experimental study. 

 

Transcriptomics

mRNA

miRNA

Proteomics

Lipidomics

Metabolomics

Related Experimental Data

BioProject:  PRJNA315871, PRJNA315872

GEO: GSE79458 (mRNA transcriptome response), GSE79459 (miRNA transcriptome response)

PRIDE Accession: PXD004100

MassIVE:  MSV000081046 (lipidome response), MSV000079700 (metabolome response), MSV000079701 (proteome response)

English
Projects (2)
Omics Lethal Human Viruses Project Profiling of the Host Response to MERS-CoV Infection, Processed Experimental Dataset Catalog
NIAID Modeling Host Responses to Understand Severe Human Virus Infections, Multi-Omic Viral Dataset Catalog Collections
Publications (2)
Hypergraph models of biological networks to identify genes critical to pathogenic viral response
Unfolded Protein Response Inhibition Reduces Middle East Respiratory Syndrome Coronavirus-Induced Acute Lung Injury
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