Antibody repertoire sequencing (Ig-seq) has been widely used in studying humoral responses, with promising results. However, the promise of Ig-seq has not yet been fully realized, and key features of the antibody repertoire remain elusive or controversial. To clarify these key features, we analyzed 2,152 high-quality heavy chain antibody repertoires, representing 582 donors and a total of 360 million clones. Our study revealed that individuals exhibit very similar gene usage patterns for germline V, D, and J genes and that 53 core V genes contribute to more than 99% of the heavy chain repertoire. We further found that genetic background is sufficient but not necessary to determine usage of V, D, and J genes. Although gene usage pattern is not affected by age, we observed a significant sex preference for 24 V genes, 9 D genes and 5 J genes, but found no positional bias for V-D and D-J recombination. In addition, we found that the number of observed clones that were shared between any two repertoires followed a linear model and noted that the mutability of hot/cold spots and single nucleotides within antibody genes suggested a strand-specific somatic hypermutation mechanism. This population-level analysis resolves some critical characteristics of the antibody repertoire and thus may serve as a reference for research aiming to unravel B cell-related biology or diseases. The metrics revealed here will be of significant value to the large cadre of scientists who study the antibody repertoire.
Large-scale Analysis of 2,152 dataset reveals key features of B cell biology and the antibody repertoire
Zhenhai Zhang,Xiujia Yang,Minhui Wang,Dianchun Shi,Yanfang Zhang,Huikun Zeng,Zhuang Yan,Chunhong Lan,Jiaqi Wu,Yang Deng,Shixin Guo,Lijun Xu,Cuiyu Ma,Yanxia Zhang,R. Wu,Jinxia Ou,Chu-jun Liu,Changqing Chang,Wei Yang,Huijie Zhang,Jun Chen,Lijie Qin,Hong-Wei Zhou,J. Bei,Lai Wei,G. Cao,Xueqing Yu
Published 2019 in bioRxiv
ABSTRACT
PUBLICATION RECORD
- Publication year
2019
- Venue
bioRxiv
- Publication date
2019-10-22
- Fields of study
Biology
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-64 of 64 references · Page 1 of 1
CITED BY
Showing 1-3 of 3 citing papers · Page 1 of 1