Single cell multi-omic analysis identifies key genes differentially expressed in innate lymphoid cells from COVID-19 patients

被引:4
作者
Kaushik, Abhinav [1 ,10 ]
Chang, Iris [1 ,11 ]
Han, Xiaorui [1 ]
He, Ziyuan [1 ,12 ]
Komlosi, Zsolt I. [2 ,3 ]
Ji, Xuhuai [4 ]
Cao, Shu [1 ]
Akdis, Cezmi A. [3 ,5 ]
Boyd, Scott [1 ,6 ]
Pulendran, Bali [6 ,7 ,8 ]
Maecker, Holden T. [7 ]
Davis, Mark M. [7 ,8 ,9 ]
Chinthrajah, R. Sharon [1 ]
Dekruyff, Rosemarie H. [1 ]
Nadeau, Kari C. [1 ,10 ]
机构
[1] Stanford Univ, Sean N Parker Ctr Allergy & Asthma Res, Dept Pathol, Sch Med, Stanford, CA 94305 USA
[2] Semmelweis Univ, Dept Genet Cell and Immunobiol, Budapest, Hungary
[3] Univ Zurich, Swiss Inst Allergy & Asthma SIAF, Davos, Switzerland
[4] Stanford Univ, Inst Immun Transplantat & Infect, Human Immune Monitoring Ctr, Sch Med, Stanford, CA USA
[5] Christine Kuhne Ctr Allergy Res & Educ, Davos, Switzerland
[6] Stanford Univ, Dept Pathol, Stanford, CA USA
[7] Stanford Univ, Inst Immun Transplantat & Infect, Stanford, CA USA
[8] Stanford Univ, Dept Microbiol & Immunol, Stanford, CA USA
[9] Stanford Univ, Howard Hughes Med Inst, Stanford, CA USA
[10] Harvard TH Chan Sch publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA
[11] Stanford Univ, Sch Med, Dept Pediat, Stanford, CA USA
[12] Allen Inst Immunol, Seattle, WA USA
基金
美国国家卫生研究院; 匈牙利科学研究基金会;
关键词
innate lymphocyte cells (ILCs); SARSCoV-2; COVID-19; single cell RNA analysis; single cell immunology; INFLAMMATION; HOMEOSTASIS; REGULATOR; INFECTION; RESPONSES; IMMUNITY; PROVIDES; IL-4;
D O I
10.3389/fimmu.2024.1374828
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
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页数:13
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