Category
Description
Human Primary Airway Epithelium Response to HCoV-229E Infection Transcriptomics (ACS-DP3)
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 3) primary human airway epithelial cells with and without macrophages and grown in air-liquid interface conditions. Sample data was acquired using a Illumina Hi-Seq 4000 sequencer system and further 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
- MD5_Checksums.xlsx - the list of raw and processed file names
- ACS-DP3_Viral_Titers.xlsx - sample treatments and other sample metadata
- Processed_Data: Data not yet released
- Legal: Additional file with legal information
Total Download Size: To Do
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 GSE280019 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
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