Characterization and Monitoring of Antigen-Responsive T Cell Clones Using T Cell Receptor Gene Expression Analysis.
T cell responses
T-cell receptor
adaptive immune receptor repertoire
bioinformatics
immunoinformatics
next generation sequencing
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2020
2020
Historique:
received:
23
09
2020
accepted:
21
12
2020
entrez:
8
3
2021
pubmed:
9
3
2021
medline:
24
6
2021
Statut:
epublish
Résumé
High-throughput T-cell receptor repertoire sequencing constitutes a powerful tool to study T cell responses at the clonal level. However, it does not give information on the functional phenotype of the responding clones and lacks a statistical framework for quantitative evaluation. To overcome this, we combined datasets from different experiments, all starting from the same blood samples. We used a novel, sensitive, UMI-based protocol to perform repertoire analysis on experimental replicates. Applying established bioinformatic routines for transcriptomic expression analysis we explored the dynamics of antigen-induced clonal expansion after
Identifiants
pubmed: 33679697
doi: 10.3389/fimmu.2020.609624
pmc: PMC7932994
doi:
Substances chimiques
Antigens
0
Receptors, Antigen, T-Cell
0
Interleukin-4
207137-56-2
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
609624Informations de copyright
Copyright © 2021 Pollastro, de Bourayne, Balzaretti, Jongejan, van Schaik, Niewold, van Kampen, Maillère and de Vries.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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