Human Host Cellular Response to HCoV-229E Infection Proteomics (ACS-JM-DP2) (in EN)
Abstract
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 immortalized human lung epithelial cells (A549) (MOI 5) nuclear extracts, immortalized human lung fibroblasts cells (MRC5) (MOI5) nuclear extracts, and primary human airway epithelial (HAE) (MOI 3) cells from lung tissue and processed for proteome analysis. Processed datasets are openly accessible from the download button and contain secondary processed proteomic results files and supporting metadata materials. Experimental proteomics samples were prepared using Limited Proteolysis (LiP) methods for Label-free quantification (LFQ) and global proteomic evaluation. Sample data was acquired using a Q-Exactive HF-X mass spectrometer and was processed and compiled using MaxQuant software (v.1.6.17.0). Processed proteomic data downloads include a sample naming key, processed MaxQuant results/parameters, and protein annotated relative abundance files. See corresponding primary data accessions below and Viral Experiment LiP Analysis source code supporting data transparency and reuse. Experimental transcriptomics samples were collected in parallel and processed for RNA sequencing (RNA-Seq) as summarized under ACS-DP1 (https://data.pnnl.gov/group/nodes/dataset/34069).
- Publication Date:
- Other Number(s):
- PNNL-SA-204366
34073
- DOE Contract Number:
- AC05-76RL01830
- Research Org.:
- Pacific Northwest National Laboratory 2; PNNL
- Sponsoring Org.:
- SC
- Collaborations:
- Predictive Phenomics Initiative, Pacific Northwest National Laboratory
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Predictive Phenomics, Limited Proteolysis, Tandem Mass Tag 16-Plex Proteomics, Label-free Quantitation, HCoV-299E, Host-Pathogen Infection, A549 cells, MRC5 cells, primary human lung tissue
- OSTI Identifier:
- 2475744
- DOI:
- https://doi.org/10.25584/PPI/2475744
Citation Formats
Human Host Cellular Response to HCoV-229E Infection Proteomics (ACS-JM-DP2). United States: N. p., 2024.
Web. doi:10.25584/PPI/2475744.
Human Host Cellular Response to HCoV-229E Infection Proteomics (ACS-JM-DP2). United States. doi:https://doi.org/10.25584/PPI/2475744
2024.
"Human Host Cellular Response to HCoV-229E Infection Proteomics (ACS-JM-DP2)". United States. doi:https://doi.org/10.25584/PPI/2475744. https://www.osti.gov/servlets/purl/2475744. Pub date:Fri Nov 01 00:00:00 UTC 2024
@article{osti_2475744,
title = {Human Host Cellular Response to HCoV-229E Infection Proteomics (ACS-JM-DP2)},
abstractNote = {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 immortalized human lung epithelial cells (A549) (MOI 5) nuclear extracts, immortalized human lung fibroblasts cells (MRC5) (MOI5) nuclear extracts, and primary human airway epithelial (HAE) (MOI 3) cells from lung tissue and processed for proteome analysis. Processed datasets are openly accessible from the download button and contain secondary processed proteomic results files and supporting metadata materials. Experimental proteomics samples were prepared using Limited Proteolysis (LiP) methods for Label-free quantification (LFQ) and global proteomic evaluation. Sample data was acquired using a Q-Exactive HF-X mass spectrometer and was processed and compiled using MaxQuant software (v.1.6.17.0). Processed proteomic data downloads include a sample naming key, processed MaxQuant results/parameters, and protein annotated relative abundance files. See corresponding primary data accessions below and Viral Experiment LiP Analysis source code supporting data transparency and reuse. Experimental transcriptomics samples were collected in parallel and processed for RNA sequencing (RNA-Seq) as summarized under ACS-DP1 (https://data.pnnl.gov/group/nodes/dataset/34069).},
doi = {10.25584/PPI/2475744},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Nov 01 00:00:00 UTC 2024},
month = {Fri Nov 01 00:00:00 UTC 2024}
}
