Skip to main content
Medline Book to support NIHPA logoLink to Medline Book to support NIHPA
. 2022;2453:379–421. doi: 10.1007/978-1-0716-2115-8_20

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

Nidhi Gupta, Ida Lindeman, Susanne Reinhardt, Encarnita Mariotti-Ferrandiz, Kevin Mujangi-Ebeka, Kristen Martins-Taylor, Anne Eugster
PMCID: PMC9761503  PMID: 35622336

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.


Full text of this article can be found in Bookshelf.

References

  1. Kantor AB, Merrill CE, Herzenberg LA, Hillson JL (1997) An unbiased analysis of V(H)-D-J(H) sequences from B-1a, B-1b, and conventional B cells. J Immunol 158:1175–1186 [PubMed]
  2. Brezinschek HP, Brezinschek RI, Lipsky PE (1995) Analysis of the heavy chain repertoire of human peripheral B cells using single-cell polymerase chain reaction. J Immunol 155:190–202 [PubMed]
  3. de Simone M, Rossetti G, Pagani M (2018) Single cell T cell receptor sequencing: techniques and future challenges. Front Immunol 9:1638 doi: 10.3389/fimmu.2018.01638. [DOI] [PMC free article] [PubMed]
  4. Wardemann H, Busse CE (2017) Novel approaches to analyze immunoglobulin repertoires. Trends Immunol 38:471–482 doi: 10.1016/j.it.2017.05.003. [DOI] [PubMed]
  5. Fuchs YF, Sharma V, Eugster A, Kraus G, Morgenstern R, Dahl A, Reinhardt S, Petzold A, Lindner A, Löbel D, Bonifacio E (2019) Gene expression-based identification of antigen-responsive CD8+ T Cells on a single-cell level. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2019.02568 doi: 10.3389/fimmu.2019.02568. [DOI] [PMC free article] [PubMed]
  6. Stubbington MJT, Lönnberg T, Proserpio V, Clare S, Speak AO, Dougan G et al (2016) T cell fate and clonality inference from single-cell transcriptomes. Nat Methods 13:329–332 doi: 10.1038/nmeth.3800. [DOI] [PMC free article] [PubMed]
  7. Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10
  8. Lindeman I, Stubbington MJT (2019) Antigen receptor sequence reconstruction and clonality inference from scRNA-seq data. Methods Mol Biol 1935:223–249 doi: 10.1007/978-1-4939-9057-3_15. [DOI] [PubMed]
  9. Schuldt NJ, Binstadt BA (2019) Dual TCR T Cells: Identity Crisis or Multitaskers? J Immunol 202:637–644 doi: 10.4049/jimmunol.1800904. [DOI] [PMC free article] [PubMed]
  10. Satija R, Farrell JA, Gennert D, Schier AF, Regev A (2015) Spatial reconstruction of single-cell gene expression data. Nat Biotechnol 33:495–502 doi: 10.1038/nbt.3192. [DOI] [PMC free article] [PubMed]
  11. Borcherding N, Bormann NL, Kraus G (2020) scRepertoire: an R-based toolkit for single-cell immune receptor analysis. F1000Res 9:47 doi: 10.12688/f1000research.22139.1. [DOI] [PMC free article] [PubMed]
  12. Sturm G, Szabo T, Fotakis G, Haider M, Rieder D, Trajanoski Z (2020) Scirpy: a Scanpy extension for analyzing single-cell T-cell receptor-sequencing data. Bioinformatics 36:4817–4818 doi: 10.1093/bioinformatics/btaa611. [DOI] [PMC free article] [PubMed]
  13. Samir J, Rizzetto S, Gupta M, Luciani F (2020) Exploring and analysing single cell multi-omics data with VDJView. BMC Med Genomics 13:29 doi: 10.1186/s12920-020-0696-z. [DOI] [PMC free article] [PubMed]

RESOURCES