T-cell repertoire analysis and metrics of diversity and clonality.
Journal
Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
received:
01
07
2020
accepted:
22
07
2020
pubmed:
6
9
2020
medline:
2
3
2021
entrez:
5
9
2020
Statut:
ppublish
Résumé
The recent developments of high-throughput bulk and single-cell sequencing technologies accelerated the understanding of the complexity of immune repertoire dynamics combined to transcriptomics. Also, profiling of cellular repertoires in health or disease requires statistical metrics to capture clonal diversity characterized by clones frequency, repertoire richness and convergence. Here we present the common technologies of bulk and single-cell sequencing of T-cell receptors (TCRs), discuss current knowledge regarding computational tools clustering and predicting specificity of TCR repertoires based on shared structural motifs and review main indices for repertoire diversity and convergence analyses. These tools represent potential biomarkers to decipher the fitness of immune repertoires in diseased or treated patients but also the presages and promises of computational approaches to revolutionize personalized immunotherapy.
Identifiants
pubmed: 32889231
pii: S0958-1669(20)30105-1
doi: 10.1016/j.copbio.2020.07.010
pii:
doi:
Substances chimiques
Receptors, Antigen, T-Cell
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
284-295Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.