Description
Dataset Description
The purpose of this experiment was to evaluate the human host cellular response to wild type human coronavirus strain 229E (HCoV-229E) infection, specifically how histones are modified following infection. Sample data was obtained from mock-infected and HCoV-229E-infected immortalized human lung fibroblasts (MRC-5) (MOI 3). Whole cell lysates were collected at 24 hours post infection and histones from all samples were enriched and were processed for proteoform identification analysis.
Data Download Reference Citation:
Zhang, Tong; & Waters, Katrina M (2025). Human Lung Fibroblast Response to HCoV-229E Infection, Top-down Proteomics of Histones (ACS-TZ-DP7)
Accessible Digital Data Downloads
The repository contains the following folders and files:
- ACS-TZ-DP7_SampleMetadata.xlsx: Contains sample metadata information including descriptors, experimental conditions, and viral titers
- ACS-TZ-DP7_histone protein data.xlsx: Contains normalized, statistics and feature data for the histone proteoform analysis of the MRC5 cell line
Total Download Size: 216 KB, zipped
Linked Publication
Ives AN, SM Thibert, MR Berger, MJ Gaffrey, HD Mitchell, SM Williams, M Zhou, K Waters, AC Sims, and T Zhang. 2026. “Human coronavirus 229E infection alters histone proteoforms.” Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.5c01015
Linked Primary Data
Primary mass spectrometry data can be found in MassIVE: MSV000099293
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