OmicsLHV-IFNαIHH001

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Description

 

Omics-Lethal Human Virus, Interferon Experiment IFNαIHH001

The purpose of this experiment was to evaluate the human host cell response to human interferon α (IFNα) treatment. Sample data was obtained from human IHH (immortalized human hepatocyte) cells for mRNA and miRNA transcriptome data analysis.

Overall Design: Immortalized human hepatocyte (IHH) cells were seeded at 1 x 10^6 cells per well on 6-well plates 3 days prior to infection. Treatments were initiated by replacing culture medium (containing 10% FBS) with fresh medium containing 500 U/ml of human interferon α (PBL Biosciences). Mock-treated cells were given normal culture medium only. Mock and treated cells were incubated at 37°C. Infected samples were collected in triplet; time-matched mocks were collected in triplet in parallel with infected samples. Transcriptome sample collection time points: 6, 12, and 18 hrs post-infection.

IFN Treatment:

  1. Human Interferon α (IFNα) treatment (500 U/ml)

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 Interferon-stimulated response experimental study. 

 

Transcriptomics

Expression profiling by array (mRNA)

Non-coding RNA profiling by array (miRNA)

Related Experimental Data

BioProject: PRJNA291999 (mRNA), PRJNA292000 (miRNA)

GEO Accession: GSE71732 (mRNA transcriptome response), GSE71733 (miRNA transcriptome response)

GEO SuperSeries: GSE65575 (Modeling Host Responses to Understand Severe Human Virus Infections)

English
Projects (2)
Omics-Lethal Human Virus, Interferon-Stimulated Response
NIAID Modeling Host Responses to Understand Severe Human Virus Infections Research Program Processed Data
People (3)

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...

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...

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...