PXD021702

PXD021702 is an original dataset announced via ProteomeXchange.

Dataset Summary

Title	Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach
Description	The COVID-19 pandemic is an unprecedented threat to humanity that has provoked global health concerns. Since the etiopathogenesis of this illness is not fully characterized, the prognostic factors enabling treatment decisions have not been well documented. Accurately predicting the progression of the disease would aid in appropriate patient categorization and thus help determine the best treatment option. Here, we have introduced a proteomic approach utilizing data-independent acquisition mass spectrometry (DIA-MS) to identify the serum proteins that are closely associated with COVID-19 prognosis. Twenty-seven proteins were differentially expressed between severely ill COVID-19 patients with an adverse or favorable prognosis.
HostingRepository	jPOST
AnnounceDate	2021-11-02
AnnouncementXML	Submission_2022-09-18_03:03:54.891.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yayoi Kimura
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	unknown modification; alpha-amino acetylated residue; L-methionine sulfoxide; S-carboxamidomethyl-L-cysteine; alpha-aminocarbamoylated residue
Instrument	Q Exactive

Dataset History

Revision	Datetime	Status	ChangeLog Entry
0	2020-09-28 01:04:15	ID requested
1	2021-11-02 02:19:51	announced
⏵ 2	2022-09-18 03:03:55	announced	2022-09-18: Updated FTP location.

Publication List

Kimura Y, Nakai Y, Shin J, Hara M, Takeda Y, Kubo S, Jeremiah SS, Ino Y, Akiyama T, Moriyama K, Sakai K, Saji R, Nishii M, Kitamura H, Murohashi K, Yamamoto K, Kaneko T, Takeuchi I, Hagiwara E, Ogura T, Hasegawa H, Tamura T, Yamanaka T, Ryo A, Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach. Sci Rep, 11(1):20638(2021) [pubmed]

Kimura Y, Nakai Y, Shin J, Hara M, Takeda Y, Kubo S, Jeremiah SS, Ino Y, Akiyama T, Moriyama K, Sakai K, Saji R, Nishii M, Kitamura H, Murohashi K, Yamamoto K, Kaneko T, Takeuchi I, Hagiwara E, Ogura T, Hasegawa H, Tamura T, Yamanaka T, Ryo A, Identification of serum prognostic biomarkers of severe COVID-19 using a quantitative proteomic approach. Sci Rep, 11(1):20638(2021) [pubmed]

Keyword List

submitter keyword: COVID-19, Proteomics, Biomarker, Prognosis, Diagnosis

submitter keyword: COVID-19, Proteomics, Biomarker, Prognosis, Diagnosis

Contact List

Yayoi Kimura
lab head
Yayoi Kimura
contact affiliation	Yokohama City University
dataset submitter

Full Dataset Link List

jPOST dataset URI
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.jpostdb.org/JPST000972/

jPOST dataset URI

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.jpostdb.org/JPST000972/