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Single cell multi-omic analysis identifies key genes differentially expressed in innate lymphoid cells from COVID-19 patients
Kaushik, A.
;
Chang, I.
;
Han, X.
;
He, Z.
;
Komlosi, Z.I. [Komlósi, Zsolt (Pulmonológia), author] Department of Genetics, Cell- and Immunology (SU / FM / I)
;
Ji, X.
;
Cao, S.
;
Akdis, C.A.
;
Boyd, S.
;
Pulendran, B.
;
Maecker, H.T.
;
Davis, M.M.
;
Chinthrajah, R.S.
;
DeKruyff, R.H.**
;
Nadeau, K.C. ✉
English Article (Journal Article) Scientific
Published:
FRONTIERS IN IMMUNOLOGY 1664-3224 1664-3224
15
Paper: 1374828
, 13 p.
2024
SJR Scopus - Immunology: Q1
Identifiers
MTMT: 35144721
DOI:
10.3389/fimmu.2024.1374828
WoS:
001270521900001
Scopus:
85198732832
PubMed:
39026668
Fundings:
(135637) Funder: HSRF
Introduction: Innate lymphoid cells (ILCs) are enriched at mucosal surfaces where they respond rapidly to environmental stimuli and contribute to both tissue inflammation and healing. Methods: To gain insight into the role of ILCs in the pathology and recovery from COVID-19 infection, we employed a multi-omics approach consisting of Abseq and targeted mRNA sequencing to respectively probe the surface marker expression, transcriptional profile and heterogeneity of ILCs in peripheral blood of patients with COVID-19 compared with healthy controls. Results: We found that the frequency of ILC1 and ILC2 cells was significantly increased in COVID-19 patients. Moreover, all ILC subsets displayed a significantly higher frequency of CD69-expressing cells, indicating a heightened state of activation. ILC2s from COVID-19 patients had the highest number of significantly differentially expressed (DE) genes. The most notable genes DE in COVID-19 vs healthy participants included a) genes associated with responses to virus infections and b) genes that support ILC self-proliferation, activation and homeostasis. In addition, differential gene regulatory network analysis revealed ILC-specific regulons and their interactions driving the differential gene expression in each ILC. Discussion: Overall, this study provides mechanistic insights into the characteristics of ILC subsets activated during COVID-19 infection. Copyright © 2024 Kaushik, Chang, Han, He, Komlosi, Ji, Cao, Akdis, Boyd, Pulendran, Maecker, Davis, Chinthrajah, DeKruyff and Nadeau.
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2025-04-02 01:45
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