PXD045427

PXD045427 is an original dataset announced via ProteomeXchange.

Title	Proteomic study of lung tissues from COVID-19
Description	Purpose: The molecular pathology of lung injury in patients with COVID-19 is still unclear. In this study, we performed a proteomic study of lung tissues from seven patients with COVID-19, and eight controls. Experimental design: Lung parenchymal tissue in COVID-19 was obtained from autopsy samples. Control tissue was obtained from cancer resection samples. Protein was extracted from tissue by phenol extraction. A tandem mass tag-based quantitative proteomic approach combined with bioinformatics analysis was used to detect proteomic changes in the SARS-CoV-2-infected lung tissues. Results: A total of 6602, and 6549 proteins were identified in replicate 1 and 2, respectively. Of which 6332 and 6248 were creditable proteins with Score Sequest HT > 0, unique peptide ≥ 1, and TMT quantifying information. Of them, the differentially expressed proteins were 297, and XXX, respectively. These proteins are enriched in 241 pathways. The upregulated proteins are mainly included neutrophil extracellular trap formation (n = 17), lysosome (n = 12), and phagosome (n = 12). The down-regulated proteins are involved in Tight junction (n = 6), Focal adhesion (n = 6), and Lipid and atherosclerosis (n = 5). Our results systematically outlined the molecular pathological features in terms of the lung response to SARS-CoV-2 infection, and provided the scientific basis for the therapeutic target that is urgently needed to control the COVID-19 pandemic. Our foundational dataset elucidates the biological impact of severe SARS-CoV-2 infection across the body, a key step towards new treatments. Overall, we emphasize the importance of histopathological patient stratifcation when interpreting molecular COVID-19 data.
HostingRepository	iProX
AnnounceDate	2023-09-18
AnnouncementXML	Submission_2023-09-17_20:20:55.617.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Lijun Zhang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2023-09-17 20:20:18	ID requested
⏵ 1	2023-09-17 20:20:55	announced

Dataset with its publication pending

submitter keyword: proteomics, COVID-19, TMT

Lijun Zhang
contact affiliation	Shanghai Public Health Clinical Center
contact email	Zhanglijun5028@dingtalk.com
lab head
Lijun Zhang
contact affiliation	Shanghai Public Health Clinical Center
contact email	Zhanglijun5028@dingtalk.com
dataset submitter

iProX dataset URI