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
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

284-295

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Johanna Chiffelle (J)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Raphael Genolet (R)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Marta As Perez (MA)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne (UNIL), Lausanne, Switzerland; Molecular Modelling Group, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

George Coukos (G)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.

Vincent Zoete (V)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne (UNIL), Lausanne, Switzerland; Molecular Modelling Group, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Alexandre Harari (A)

Department of Oncology, Ludwig Institute for Cancer Research Lausanne, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland. Electronic address: alexandre.harari@chuv.ch.

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Classifications MeSH