Clonify: unseeded antibody lineage assignment from next-generation sequencing data

被引:37
作者
Briney, Bryan [1 ,2 ,3 ]
Le, Khoa [1 ,2 ,3 ]
Zhu, Jiang [1 ,2 ,3 ]
Burton, Dennis R. [1 ,2 ,3 ,4 ]
机构
[1] Scripps Res Inst, Dept Immunol & Microbial Sci, La Jolla, CA 92037 USA
[2] Scripps Res Inst, Int AIDS Vaccine Initiat Neutralizing Antibody Ct, La Jolla, CA 92037 USA
[3] Scripps Res Inst, Ctr HIV AIDS Vaccine Immunol & Immunogen Discover, La Jolla, CA 92037 USA
[4] Ragon Inst Massachusetts Gen Hosp Massachusetts I, Cambridge, MA 02142 USA
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
关键词
B-CELL REPERTOIRE; HIV-1-NEUTRALIZING ANTIBODIES; NEUTRALIZING ANTIBODIES; HIV-ANTIBODIES; GENE SEGMENT; POTENT; BROAD; INSERTIONS; RESPONSES; ALIGNMENT;
D O I
10.1038/srep23901
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Defining the dynamics and maturation processes of antibody clonal lineages is crucial to understanding the humoral response to infection and immunization. Although individual antibody lineages have been previously analyzed in isolation, these studies provide only a narrow view of the total antibody response. Comprehensive study of antibody lineages has been limited by the lack of an accurate clonal lineage assignment algorithm capable of operating on next-generation sequencing datasets. To address this shortcoming, we developed Clonify, which is able to perform unseeded lineage assignment on very large sets of antibody sequences. Application of Clonify to IgG+ memory repertoires from healthy individuals revealed a surprising lack of influence of large extended lineages on the overall repertoire composition, indicating that this composition is driven less by the order and frequency of pathogen encounters than previously thought. Clonify is freely available at www.github.com/briney/clonify-python.
引用
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页数:10
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