PXD047923

PXD047923 is an original dataset announced via ProteomeXchange.

Title	Deep-proteomic of 52 serum samples from 52 COVID-19 patients and 30 matched healthy controls
Description	Most of COVID-19 patients have a mild disease course, while approximately 20% have moderate to severe disease. T cell-mediated immunity is crucial for protection against severe COVID-19. By investigating a perceived increased rate of indeterminate QuantiFERON-TB Gold Plus results in hospitalized COVID19 patients, we found that a big portion of severely ill COVID-19 patients’ peripheral T cells were unable to produce measurable IFN-g when stimulated with phytohemagglutinin (PHA), a potent IFN-g mitogen, reflected by an indeterminate QuantiFERON-TB Gold Plus result. We further performed the deep-proteomic of 52 serum samples from 52 COVID-19 patients and 30 matched healthy controls. The results indicated several pathways such as hypertrophic cardiomyopathy, dilated cardiomyopathy pathways, complement and coagulation cascade, and T cell differentiation related to IFN-g indeterminate. These data provide evidence that many of these patients demonstrate a focused Th2 immune response with inhibition of IFN-g signaling and, in many cases, significant elevations of IL-6.
HostingRepository	iProX
AnnounceDate	2023-12-11
AnnouncementXML	Submission_2023-12-18_19:24:35.277.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	Q Exactive HF-X; timsTOF Pro

Revision	Datetime	Status	ChangeLog Entry
0	2023-12-18 19:24:15	ID requested
⏵ 1	2023-12-18 19:24:35	announced

Dataset with its publication pending

submitter keyword: COVID-19, QuantiFERONTB, proteomic

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

iProX dataset URI