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PXD047086-2

PXD047086 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	quantitative proteomic analysis of serum samples from OAPS patients and healthy controls
Description	Early identification of potential risk factors and timely intervention, are crucial for reducing the rates of severe illness and mortality. As such, there is a pressing need to focus more on the care of severe patients and reduce the mortality rate associated with SARS-CoV-2. Given that older patients are a vulnerable demographic, comprehensive data is required to enhance their healthcare provision in the context of the COVID-19 pandemic. The unprecedented pandemic from November 2022 to January 2023 provided us with valuable clinical resources on older patients, a demographic that has been underrepresented in past studies. Mass spectrometry (MS)-based proteomics enables the systematic investigation of circulating proteins which sheds light on host responses to SARS-COV-2 infection. Here, we report the characteristic proteome profile of plasma samples from elderly patients with Omicron infection, with a primary focus on features associated with mortality.
HostingRepository	iProX
AnnounceDate	2023-11-20
AnnouncementXML	Submission_2024-05-20_20:11:28.289.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Haohao Tang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	timsTOF Pro

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2023-11-19 23:06:07	ID requested
1	2023-11-19 23:06:23	announced
⏵ 2	2024-05-20 20:11:29	announced	2024-05-21: Update information.

Publication List

Keyword List

submitter keyword: Proteomic, DIA, Obstertric Antiphosphopid syndrome

Contact List

Yang Chen
contact affiliation	Peking University Health Science Center
contact email	chenyang1816185048@bjmu.edu.cn
lab head
Haohao Tang
contact affiliation	Peking University Health Science Center
contact email	Tanghaohao0987@163.com
dataset submitter

Full Dataset Link List

iProX dataset URI