Enhancing comparative T cell receptor repertoire analysis in small biological samples through pooling homologous cell samples from multiple mice.
CP: Immunology
CP: Systems biology
T cell receptor
adaptive immune receptor repertoire sequencing
diversity
mouse
next-generation sequencing
repertoire coverage
reproducibility
sampling
statistical modeling
Journal
Cell reports methods
ISSN: 2667-2375
Titre abrégé: Cell Rep Methods
Pays: United States
ID NLM: 9918227360606676
Informations de publication
Date de publication:
05 Apr 2024
05 Apr 2024
Historique:
received:
06
01
2023
revised:
28
01
2024
accepted:
19
03
2024
medline:
14
4
2024
pubmed:
14
4
2024
entrez:
13
4
2024
Statut:
aheadofprint
Résumé
Accurate characterization and comparison of T cell receptor (TCR) repertoires from small biological samples present significant challenges. The main challenge is the low material input, which compromises the quality of bulk sequencing and hinders the recovery of sufficient TCR sequences for robust analyses. We aimed to address this limitation by implementing a strategic approach to pool homologous biological samples. Our findings demonstrate that such pooling indeed enhances the TCR repertoire coverage, particularly for cell subsets of constrained sizes, and enables accurate comparisons of TCR repertoires at different levels of complexity across T cell subsets with different sizes. This methodology holds promise for advancing our understanding of T cell repertoires in scenarios where sample size constraints are a prevailing concern.
Identifiants
pubmed: 38614088
pii: S2667-2375(24)00083-3
doi: 10.1016/j.crmeth.2024.100753
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
100753Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.