Quantitative analysis of the T cell receptor repertoire.


Journal

Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271

Informations de publication

Date de publication:
2019
Historique:
entrez: 16 11 2019
pubmed: 16 11 2019
medline: 2 6 2020
Statut: ppublish

Résumé

The T cell receptor repertoire provides a window into the cellular adaptive immune response. In the context of cancer, determining the repertoire within a tumor can give important insights into the evolution of the T cell anti-cancer response, and has the potential to identify specific personalized biomarkers for tracking host responses during cancer therapy, including immunotherapy. We describe a protocol for amplifying, sequencing and analyzing T cell receptors which is economical, robust, sensitive and versatile. The key experimental step is the ligation of a single stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. We describe a detailed protocol describing this method to create libraries of T cell receptors from in vitro T cell cultures, blood or tissue samples. We combine this with a computational pipeline, which incorporates sample multiplexing, T cell receptor annotation and error correction to provide accurate counts of individual T cell receptor sequences within samples. The integrated experimental and computational pipeline should be of value to researchers interested in documenting and understanding the T cell immune response to cancer, and in manipulating it for therapeutic purposes.

Identifiants

pubmed: 31727254
pii: S0076-6879(19)30235-6
doi: 10.1016/bs.mie.2019.05.054
pii:
doi:

Substances chimiques

Receptors, Antigen, T-Cell 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

465-492

Informations de copyright

© 2019 Elsevier Inc. All rights reserved.

Auteurs

Imran Uddin (I)

Division of Infection and Immunity, UCL, London, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, UCL, London, United Kingdom.

Annemarie Woolston (A)

Division of Infection and Immunity, UCL, London, United Kingdom.

Thomas Peacock (T)

Division of Infection and Immunity, UCL, London, United Kingdom; CoMPLEX, Department of Computer Science, University College London, London, United Kingdom.

Kroopa Joshi (K)

Cancer Immunology Unit, University College London (UCL) Cancer Institute, London, United Kingdom.

Mazlina Ismail (M)

Division of Infection and Immunity, UCL, London, United Kingdom.

Tahel Ronel (T)

Division of Infection and Immunity, UCL, London, United Kingdom.

Connor Husovsky (C)

Division of Infection and Immunity, UCL, London, United Kingdom.

Benny Chain (B)

Division of Infection and Immunity, UCL, London, United Kingdom; Department of Computer Science, UCL, London, United Kingdom. Electronic address: b.chain@ucl.ac.uk.

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Classifications MeSH