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 Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
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
Originalsprache | Englisch |
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Seiten (von - bis) | 379-421 |
Seitenumfang | 43 |
Fachzeitschrift | Methods in Molecular Biology |
Jahrgang | 2022 |
Publikationsstatus | Veröffentlicht - 2022 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 35622336 |
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Schlagworte
Forschungsprofillinien der TU Dresden
DFG-Fachsystematik nach Fachkollegium
ASJC Scopus Sachgebiete
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