TCR validation toward gene therapy for cancer.


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 speed of T cell receptor (TCR) discovery has been revolutionized by barcode-based TCR sequencing approaches that allow the reconstitution of a T cell's paired alpha and beta TCR chain, and the process of TCR discovery promises to become ever faster and cheaper with the continuing development single cell analysis techniques. This technological progress has generated an urgent need to develop efficient TCR validation platforms for the rapid and safe clinical translation of TCRs into therapeutic agents. Whereas much attention has in the past focused on CD8-positive cytotoxic T cells recognizing MHC class I presented epitopes, the increasing demand to validate TCRs expressed on neoepitope-reactive CD4 T cells requires the implementation of large-scale T cell activation-based readout assays to complement existing multimer and cytotoxicity-based assays. Here, we present commonly used TCR validation assays, and include detailed guidance on TCR synthesis, delivery, and appropriate experimental control TCRs. We also comment on upcoming methods that hold promise for further speeding the process of TCR validation, hastening the translation of TCRs from the laboratory into the clinic.

Identifiants

pubmed: 31727252
pii: S0076-6879(19)30412-4
doi: 10.1016/bs.mie.2019.10.010
pii:
doi:

Substances chimiques

Antigens, Neoplasm 0
Epitopes, T-Lymphocyte 0
NFATC Transcription Factors 0
Receptors, Antigen, T-Cell 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

419-441

Informations de copyright

© 2019 Elsevier Inc. All rights reserved.

Auteurs

Edward W Green (EW)

German Cancer Research Center, DKFZ, Heidelberg, Germany.

Lukas Bunse (L)

German Cancer Research Center, DKFZ, Heidelberg, Germany; University Hospital Mannheim, Mannheim, Germany; University Hospital Heidelberg, Heidelberg, Germany.

Matthias Bozza (M)

German Cancer Research Center, DKFZ, Heidelberg, Germany.

Khwab Sanghvi (K)

German Cancer Research Center, DKFZ, Heidelberg, Germany.

Michael Platten (M)

German Cancer Research Center, DKFZ, Heidelberg, Germany; University Hospital Mannheim, Mannheim, Germany; University Hospital Heidelberg, Heidelberg, Germany. Electronic address: m.platten@dkfz.de.

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Classifications MeSH