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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

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.

Details

OriginalspracheEnglisch
Seiten (von - bis)379-421
Seitenumfang43
FachzeitschriftMethods in Molecular Biology
Jahrgang2022
PublikationsstatusVeröffentlicht - 2022
Peer-Review-StatusJa

Externe IDs

PubMed 35622336

Schlagworte

Schlagwörter

  • 10x Genomics, IG gene, Multi-omic analysis, Rearrangement, Single-cell sequencing, SMART-seq, TR gene, Transcriptome, Single-Cell Analysis/methods, SARS-CoV-2/genetics, Receptors, Antigen, T-Cell/genetics, Humans, COVID-19, Base Sequence

Bibliotheksschlagworte