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
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

100753

Informations 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.

Auteurs

Vanessa Mhanna (V)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Clinical Investigation Center for Biotherapies (CIC-BTi) and Immunology-Inflammation-Infectiology and Dermatology Department (3iD), Paris, France.

Pierre Barennes (P)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Clinical Investigation Center for Biotherapies (CIC-BTi) and Immunology-Inflammation-Infectiology and Dermatology Department (3iD), Paris, France.

Hélène Vantomme (H)

AP-HP, Hôpital Pitié-Salpêtrière, Clinical Investigation Center for Biotherapies (CIC-BTi) and Immunology-Inflammation-Infectiology and Dermatology Department (3iD), Paris, France.

Gwladys Fourcade (G)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France.

Nicolas Coatnoan (N)

AP-HP, Hôpital Pitié-Salpêtrière, Clinical Investigation Center for Biotherapies (CIC-BTi) and Immunology-Inflammation-Infectiology and Dermatology Department (3iD), Paris, France.

Adrien Six (A)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France.

David Klatzmann (D)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France; AP-HP, Hôpital Pitié-Salpêtrière, Clinical Investigation Center for Biotherapies (CIC-BTi) and Immunology-Inflammation-Infectiology and Dermatology Department (3iD), Paris, France.

Encarnita Mariotti-Ferrandiz (E)

Sorbonne Université, INSERM, Immunology-Immunopathology-Immunotherapy (i3), 75005 Paris, France; Institut Universitaire de France, France. Electronic address: encarnita.mariotti@sorbonne-universite.fr.

Classifications MeSH