Single-Cell Analysis and Tracking of Antigen-Specific T Cells: Integrating Paired Chain AIRR-Seq and Transcriptome Sequencing: A Method by the AIRR Community
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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
Original language | English |
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Pages (from-to) | 379-421 |
Number of pages | 43 |
Journal | Methods in Molecular Biology |
Volume | 2022 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
External IDs
PubMed | 35622336 |
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Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
ASJC Scopus subject areas
Keywords
- 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