PXD045427
PXD045427 is an original dataset announced via ProteomeXchange.
Dataset Summary
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 |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
---|---|---|---|
0 | 2023-09-17 20:20:18 | ID requested | |
⏵ 1 | 2023-09-17 20:20:55 | announced |
Publication List
Dataset with its publication pending |
Keyword List
submitter keyword: proteomics, COVID-19, TMT |
Contact List
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 |
Full Dataset Link List
iProX dataset URI |