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单细胞分析和抗原特异性 T 细胞跟踪:整合配对链 AIRR-Seq 和转录组测序:AIRR 社区的一种方法。

Single-Cell Analysis and Tracking of Antigen-Specific T Cells: Integrating Paired Chain AIRR-Seq and Transcriptome Sequencing: A Method by the AIRR Community.

机构信息

Takara Bio, San Jose, CA, USA.

Department of Immunology, Oslo University Hospital and K.G. Jebsen Coeliac Disease Research Centre, University of Oslo, Oslo, Norway.

出版信息

Methods Mol Biol. 2022;2453:379-421. doi: 10.1007/978-1-0716-2115-8_20.

DOI:10.1007/978-1-0716-2115-8_20
PMID:35622336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9761503/
Abstract

Single-cell adaptive immune receptor repertoire sequencing (scAIRR-seq) offers the possibility to access the nucleotide sequences of paired receptor chains from T-cell receptors (TCR) or B-cell receptors (BCR ). Here we describe two protocols and the downstream bioinformatic approaches that facilitate the integrated analysis of paired T-cell receptor (TR ) alpha/beta (TRA /TRB ) AIRR-seq, RNA sequencing (RNAseq), immunophenotyping, and antigen-binding information. To illustrate the methodologies with a use case, we describe how to identify, characterize, and track SARS-CoV-2-specific T cells over multiple time points following infection with the virus. The first method allows the analysis of pools of memory CD8 cells, identifying expansions and contractions of clones of interest. The second method allows the study of rare or antigen-specific cells and allows studying their changes over time.

摘要

单细胞适应性免疫受体库测序(scAIRR-seq)提供了从 T 细胞受体(TCR)或 B 细胞受体(BCR)获取配对受体链核苷酸序列的可能性。在这里,我们描述了两种方案和下游生物信息学方法,这些方法有助于整合分析配对 T 细胞受体(TR)α/β(TRA/TRB)AIRR-seq、RNA 测序(RNAseq)、免疫表型和抗原结合信息。为了通过一个用例来说明这些方法,我们描述了如何在感染病毒后多个时间点识别、表征和跟踪 SARS-CoV-2 特异性 T 细胞。第一种方法允许分析记忆 CD8 细胞的池,鉴定感兴趣的克隆的扩增和收缩。第二种方法允许研究稀有或抗原特异性细胞,并允许随时间研究它们的变化。

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本文引用的文献

1
scRepertoire: An R-based toolkit for single-cell immune receptor analysis.scRepertoire:一个用于单细胞免疫受体分析的基于R语言的工具包。
F1000Res. 2020 Jan 27;9:47. doi: 10.12688/f1000research.22139.2. eCollection 2020.
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Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data.Scirpy:一个用于分析单细胞 T 细胞受体测序数据的 Scanpy 扩展。
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Exploring and analysing single cell multi-omics data with VDJView.使用VDJView探索和分析单细胞多组学数据。
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Gene Expression-Based Identification of Antigen-Responsive CD8 T Cells on a Single-Cell Level.基于基因表达的单细胞水平鉴定抗原反应性 CD8 T 细胞。
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Antigen Receptor Sequence Reconstruction and Clonality Inference from scRNA-Seq Data.从单细胞RNA测序数据中进行抗原受体序列重建和克隆性推断
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Single Cell T Cell Receptor Sequencing: Techniques and Future Challenges.单细胞T细胞受体测序:技术与未来挑战
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T cell fate and clonality inference from single-cell transcriptomes.从单细胞转录组推断T细胞命运和克隆性
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