Single-cell immune repertoire analysis

被引：21

作者：

Irac, Sergio E. ^{[1
]}

Soon, Megan Sioe Fei ^{[2
]}

Borcherding, Nicholas ^{[3
,4
]}

Tuong, Zewen Kelvin ^{[2
,5
]}

机构：

[1] QIMR Berghofer Med Res Inst, Canc Immunoregulat & Immunotherapy, Brisbane, Qld, Australia

[2] Univ Queensland, Fac Med, Ian Frazer Ctr Childrens Immunotherapy Res, Child Hlth Res Ctr, Brisbane, Qld, Australia

[3] Washington Univ, Sch Med, Dept Pathol & Immunol, St Louis, MO USA

[4] Omniscope, Palo Alto, CA USA

[5] Univ Queensland, Frazer Inst, Fac Med, Brisbane, Qld, Australia

来源：

NATURE METHODS | 2024年 / 21卷 / 05期

关键词：

RECEPTOR REPERTOIRES; CLONALITY INFERENCE; TOOLKIT;

D O I：

10.1038/s41592-024-02243-4

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Single-cell T cell and B cell antigen receptor-sequencing data analysis can potentially perform in-depth assessments of adaptive immune cells that inform on understanding immune cell development to tracking clonal expansion in disease and therapy. However, it has been extremely challenging to analyze and interpret T cells and B cells and their adaptive immune receptor repertoires at the single-cell level due to not only the complexity of the data but also the underlying biology. In this Review, we delve into the computational breakthroughs that have transformed the analysis of single-cell T cell and B cell antigen receptor-sequencing data. This Review provides an overview of bioinformatic approaches that enable immune repertoire analyses at the single-cell level.

引用

页码：777 / 792

页数：16

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