Human A549 and MRC5 Cell Response to HCoV-229E Infection Transcriptomics (ACS-DP1)

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Description

Human A549 and MRC5 Cell Response to HCoV-229E Infection Transcriptomics 

The purpose of this experiment was to evaluate the human host cellular response to wild-type Human coronavirus strain 229E (HCoV-229E) infection. Sample data was obtained for mock and infected (MOI 5) immortalized human lung epithelial cells (A549) and immortalized human lung fibroblasts cells (MRC5). Sample data was acquired using a Illumina HiSeq 2000 sequencer system and processed for RNA sequencing (RNA-Seq) expression analysis.

Accessible Digital Data Downloads

The repository contains the following folders and files:

  • Experimental_Metadata: Folder with additional information to understand the experimental data

    • GSE279271_MD5_Checksums.xlsx - the list of raw and processed file names
    • GSE279271_RNA-seq_Metadata.xlsx - library, cell line, species, etc. information for each of the samples
    • Viral_Infection_Titers_A549_MRC5_RNA-Seq_DP1.xlsx - contains sample counts and time course information
  • Processed Counts: Folder with 1 file containing the sequence counts across all samples
  • Legal: Additional files with legal information

Total Download Size: 3.8 MB, zipped

Linked Primary Data

Primary RNA-Seq raw measurement data are openly accessible for download at the Gene Expression Omnibus (GEO) community repository under the accession GSE279271 and have been linked to corresponding primary experimental datasets where applicable.

Funding Acknowledgments

The research data described here was funded in whole or in part by the Predictive Phenomics Initiative (PPI) at Pacific Northwest National Laboratory (PNNL). This work was conducted under the Laboratory Directed Research and Development Program at PNNL. PNNL is a multiprogram national laboratory operated by Battelle for the DOE under Contract No. DE-AC05-76RL01830.

Citation Policy

In efforts to enable discovery, reproducibility, and reuse of PPI-funded project dataset citations in accordance with best practices (as outlined by the FORCE11 Data Citation Principles), we ask that all reuse of project data and metadata download materials acknowledge all primary and secondary dataset citations and corresponding journal articles where applicable.

Data Licensing

Creative Commons Attribution 4.0 International (CC BY 4.0)

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