Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Tracking antigen-specific TCR clonotypes in SARS-CoV-2 infection reveals distinct severity trajectories

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Ik Soo-
dc.contributor.authorKang, Chang Kyung-
dc.contributor.authorLee, Seung Jae-
dc.contributor.authorLee, Chang-Han-
dc.contributor.authorKim, Minji-
dc.contributor.authorSeo, Chaehwa-
dc.contributor.authorKim, Gwanghun-
dc.contributor.authorLee, Soojin-
dc.contributor.authorPark, Kyoung Sun-
dc.contributor.authorChang, Euijin-
dc.contributor.authorJung, Jongtak-
dc.contributor.authorSong, Kyoung-Ho-
dc.contributor.authorChoe, Pyoeng Gyun-
dc.contributor.authorPark, Wan Beom-
dc.contributor.authorKim, Eu Suk-
dc.contributor.authorKim, Hong Bin-
dc.contributor.authorKim, Nam Joong-
dc.contributor.authorOh, Myoung-don-
dc.contributor.authorLee, Jong-Eun-
dc.contributor.authorShin, Hyun Mu-
dc.contributor.authorKim, Hang-Rae-
dc.date.accessioned2024-02-10T02:00:18Z-
dc.date.available2024-02-10T02:00:18Z-
dc.date.issued2023-11-
dc.identifier.issn0146-6615-
dc.identifier.issn1096-9071-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90365-
dc.description.abstractDespite the importance of antigen-specific T cells in infectious disease, characterizing and tracking clonally amplified T cells during the progression of a patient's symptoms remain unclear. Here, we performed a longitudinal, in-depth single-cell multiomics analysis of samples from asymptomatic, mild, usual severe, and delayed severe patients of SARS-CoV-2 infection. Our in-depth analysis revealed that hyperactive or improper T-cell responses were more aggressive in delayed severe patients. Interestingly, tracking of antigen-specific T-cell receptor (TCR) clonotypes along the developmental trajectory indicated an attenuation in functional T cells upon severity. In addition, increased glycolysis and interleukin-6 signaling in the cytotoxic T cells were markedly distinct in delayed severe patients compared to usual severe patients, particularly in the middle and late stages of infection. Tracking B-cell receptor clonotypes also revealed distinct transitions and somatic hypermutations within B cells across different levels of disease severity. Our results suggest that single-cell TCR clonotype tracking can distinguish the severity of patients through immunological hallmarks, leading to a better understanding of the severity differences in and improving the management of infectious diseases by analyzing the dynamics of immune responses over time. © 2023 Wiley Periodicals LLC.-
dc.language영어-
dc.language.isoENG-
dc.publisherWiley-
dc.titleTracking antigen-specific TCR clonotypes in SARS-CoV-2 infection reveals distinct severity trajectories-
dc.typeArticle-
dc.identifier.wosid001124416600006-
dc.identifier.doi10.1002/jmv.29199-
dc.identifier.bibliographicCitationJournal of Medical Virology, v.95, no.11-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85175770415-
dc.citation.titleJournal of Medical Virology-
dc.citation.volume95-
dc.citation.number11-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorBCR tracking-
dc.subject.keywordAuthorSARS-CoV-2-
dc.subject.keywordAuthorsingle-cell multiomics-
dc.subject.keywordAuthorTCR tracking-
dc.subject.keywordPlusT-CELL-
dc.subject.keywordPlusMULTI-OMICS-
dc.subject.keywordPlusCYTOKINE STORM-
dc.subject.keywordPlusCOVID-19-
dc.subject.keywordPlusIMMUNE-
dc.subject.keywordPlusMETABOLISM-
dc.subject.keywordPlusRESPONSES-
dc.subject.keywordPlusFEATURES-
dc.subject.keywordPlusSUBSETS-
dc.relation.journalResearchAreaVirology-
dc.relation.journalWebOfScienceCategoryVirology-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Ik Soo photo

Kim, Ik Soo
College of Medicine (Premedical Course)
Read more

Altmetrics

Total Views & Downloads

BROWSE