Global characterization of B cell receptor repertoire in COVID-19 patients by single-cell V(D)J sequencing

Author:

Jin Xiyun1,Zhou Wenyang1,Luo Meng1,Wang Pingping1,Xu Zhaochun1,Ma Kexin1,Cao Huimin1,Xu Chang1,Huang Yan1,Cheng Rui2,Xiao Lixing1,Lin Xiaoyu2,Pang Fenglan2,Li Yiqun2,Nie Huan1,Jiang Qinghua1

Affiliation:

1. School of Life Science and Technology at the Harbin Institute of Technology, China

2. Harbin Institute of Technology, China

Abstract

Abstract The world is facing a pandemic of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Adaptive immune responses are essential for SARS-CoV-2 virus clearance. Although a large body of studies have been conducted to investigate the immune mechanism in COVID-19 patients, we still lack a comprehensive understanding of the BCR repertoire in patients. In this study, we used the single-cell V(D)J sequencing to characterize the BCR repertoire across convalescent COVID-19 patients. We observed that the BCR diversity was significantly reduced in disease compared with healthy controls. And BCRs tend to skew toward different V gene segments in COVID-19 and healthy controls. The CDR3 sequences of heavy chain in clonal BCRs in patients were more convergent than that in healthy controls. In addition, we discovered increased IgG and IgA isotypes in the disease, including IgG1, IgG3 and IgA1. In all clonal BCRs, IgG isotypes had the most frequent class switch recombination events and the highest somatic hypermutation rate, especially IgG3. Moreover, we found that an IgG3 cluster from different clonal groups had the same IGHV, IGHJ and CDR3 sequences (IGHV4-4-CARLANTNQFYDSSSYLNAMDVW-IGHJ6). Overall, our study provides a comprehensive characterization of the BCR repertoire in COVID-19 patients, which contributes to the understanding of the mechanism for the immune response to SARS-CoV-2 infection.

Funder

National Natural Science Foundation of China

Harbin Institute of Technology

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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