PXD036590

PXD036590 is an original dataset announced via ProteomeXchange.

Title	Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection
Description	The majority of those infected by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) during the first wave did not require hospitalisation. Most had a short-lived mild or asymptomatic infection, while others had symptoms that persisted for weeks or months. We performed a longitudinal targeted analysis of the plasma proteome of 156 healthcare workers (HCW) with and without lab confirmed SARS-CoV-2 infection. We hypothesized that the plasma proteome would reflect differences in the inflammatory response that linked to symptom severity and duration. We showed that perturbation of the proteome persisted for over six weeks, tracking symptom severity and antibody responses. Additionally, we identified a prognostic signature at the time of seroconversion that identified individuals likely to suffer from persistent symptoms related to SARS-CoV-2 infection.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:40:04.339.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Gaby Captur
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	6410 Triple Quadrupole LC/MS

Revision	Datetime	Status	ChangeLog Entry
0	2022-09-08 07:10:14	ID requested
1	2022-10-11 08:48:03	announced
2	2023-01-25 13:13:55	announced	2023-01-25: Updated project metadata.
3	2023-11-14 08:28:03	announced	2023-11-14: Updated project metadata.
⏵ 4	2024-10-22 05:40:05	announced	2024-10-22: Updated project metadata.

10.1016/j.ebiom.2022.104293;

Captur G, Moon JC, Topriceanu CC, Joy G, Swadling L, Hallqvist J, Doykov I, Patel N, Spiewak J, Baldwin T, Hamblin M, Menacho K, Fontana M, Treibel TA, Manisty C, O'Brien B, Gibbons JM, Pade C, Brooks T, Altmann DM, Boyton RJ, McKnight Á, Maini MK, Noursadeghi M, Mills K, Heywood WE, Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection. EBioMedicine, 85():104293(2022) [pubmed]

ProteomeXchange project tag: Sars-cov-2, Covid-19

submitter keyword: COVID-19, LC-MSMS, long-COVID, Plasma

Dr Kevin Mills
contact affiliation	UCL Biological Mass Spectrometry Lab Head GOSH University College London London Tel +44(0)7809621264
contact email	Kevin.mills@ucl.ac.uk
lab head
Gaby Captur
contact affiliation	UCL
contact email	gabriella.captur.11@ucl.ac.uk
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2022/10/PXD036590

PRIDE project URI

• PRIDE
  1. PXD036590
     1. Label: PRIDE project
     2. Name: Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection