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

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Last updated on 2024-09-17T19:19:38+00:00 by LN Anderson

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

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) and processed for RNA sequencing (RNA-Seq) expression analysis.

Accessible Digital Data Downloads (pending)*

Processed datasets are openly accessible from the download button and contain secondary processed RNA sequencing results files and supporting metadata materials. Processed data downloads include a sample naming key, infection titer metadata, normalized counts, and relevant computational source code information supporting data transparency and reuse.

*Corresponding primary publication pending.

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 [GSE], corresponding to BioProject [PRJNA], and have been linked to corresponding Multi-omics 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

CC BY 4.0 (dataset DOI downloads), CC0 1.0 (PNNL DataHub policy default)

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