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PXD036193

PXD036193 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleTemporal proteomic characterization of COVID-19 infected mouse lungs
DescriptionWe performed time-course proteomic profiling of lung tissues obtained from K18-hACE2 transgenic mice with TMT-based quantification using LC-MS/MS. The Proteome Discoverer analysis identified 10,844 protein groups, 8,279 of which were quantifiable. As a result of the comparison between our proteome data and the previously reported proteomes of COVID-19 infected lung tissues generated using LC-MS/MS analysis, we demonstrated the high comprehensiveness of our temporal proteome of COVID-19 infected lung tissues. To assess the correlation between our proteome and the proteins involved in COVID-19 pathophysiology, we examined the cellular processes of our proteome by performing the enrichment analysis of Gene Ontology biological processes (GOBP) and ConsensusPathDB software. In addition, we detailed temporal transitions of perturbed molecular networks activated along with COVID-19 infection by conducting clustering analysis that identifies early, middle, and late-responsive proteins. Also, we identified two key pathways, neutrophil extracellular trap formation (NETosis) and ciliogenesis, which can induce the severity-associated transition of the disease.
HostingRepositoryPRIDE
AnnounceDate2026-07-03
AnnouncementXMLSubmission_2026-07-03_06:37:25.562.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterDongyoon Shin
SpeciesList scientific name: Mus musculus (Mouse); NCBI TaxID: NEWT:10090;
ModificationListTMT6plex-126 reporter+balance reagent acylated residue
InstrumentQ Exactive
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-08-21 03:58:45ID requested
12026-07-03 06:37:26announced
Publication List
10.1016/J.MCPRO.2026.101618;
Keyword List
submitter keyword: COVID-19, tissue, proteomics, Tandem mass tag, LC-MS/MS
Contact List
Youngsoo Kim
contact affiliationDeparment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea1Deparment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
contact emailbiolab@snu.ac.kr
lab head
Dongyoon Shin
contact affiliationSeoul National University
contact emailsdymath777@naver.com
dataset submitter
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Dataset FTP location
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PRIDE project URI
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