T-Cell Repertoire Characterization.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2022
Historique:
entrez: 10 9 2022
pubmed: 11 9 2022
medline: 14 9 2022
Statut: ppublish

Résumé

T-cell repertoire characterization is a methodology that enables the identification of T-cell receptor (TCR) gene sequences in a T-cell population. TCR genes are composed of modular gene segments V (D) J that undergo somatic recombination, resulting in unique and unpredictable sequences that can be utilized to identify each T-cell clone. The analysis of the TCR composition in a T-cell population can give information on the biological phenomenon such as antigen-driven expansion and heterogeneity of T-cell responses. Bulk TCR analysis can give useful information on the clonality and can help track a specific clonotype over time or in different compartments, although the information about pairing cannot be provided. Single-cell TCR sequencing, on the other hand, can provide pairing information that are necessary to reconstruct the TCR and confirm antigen specificity.Here we describe common methods to characterize T-cell repertoires based on both bulk and single-cell next-generation sequencing.

Identifiants

pubmed: 36087203
doi: 10.1007/978-1-0716-2712-9_9
doi:

Substances chimiques

Antigens 0
Receptors, Antigen, T-Cell 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

209-219

Informations de copyright

© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Références

Turner SJ et al (2006) Structural determinants of T-cell receptor bias in immunity. Nat Rev Immunol 6(12):883–894
doi: 10.1038/nri1977
Pasetto A, Lu YC (2021) Single-cell TCR and transcriptome analysis: an indispensable tool for studying T-cell biology and cancer immunotherapy. Front Immunol 12:689091
doi: 10.3389/fimmu.2021.689091
Kim SM et al (2012) Analysis of the paired TCR alpha- and beta-chains of single human T cells. PLoS One 7(5):e37338
doi: 10.1371/journal.pone.0037338
Pasetto A et al (2016) Tumor- and neoantigen-reactive T-cell receptors can be identified based on their frequency in fresh tumor. Cancer Immunol Res 4(9):734–743
doi: 10.1158/2326-6066.CIR-16-0001
Paria BC et al (2021) Rapid identification and evaluation of neoantigen-reactive T-cell receptors from single cells. J Immunother 44(1):1–8
doi: 10.1097/CJI.0000000000000342
Dziubianau M et al (2013) TCR repertoire analysis by next generation sequencing allows complex differential diagnosis of T cell-related pathology. Am J Transplant 13(11):2842–2854
doi: 10.1111/ajt.12431
Tumeh PC et al (2014) PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature 515(7528):568–571
doi: 10.1038/nature13954
Han A et al (2014) Linking T-cell receptor sequence to functional phenotype at the single-cell level. Nat Biotechnol 32(7):684–692
doi: 10.1038/nbt.2938
Gros A et al (2014) PD-1 identifies the patient-specific CD8(+) tumor-reactive repertoire infiltrating human tumors. J Clin Invest 124(5):2246–2259
doi: 10.1172/JCI73639
Price DA et al (2005) Avidity for antigen shapes clonal dominance in CD8+ T cell populations specific for persistent DNA viruses. J Exp Med 202(10):1349–1361
doi: 10.1084/jem.20051357

Auteurs

Anna Pasetto (A)

Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden. anna.pasetto@ki.se.

Marcus Buggert (M)

Department of Medicine Huddinge, Center for Infectious Medicine (CIM), Karolinska Institutet, Stockholm, Sweden. marcus.buggert@ki.se.

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Classifications MeSH