An efficient method to identify virus-specific TCRs for TCR-T cell immunotherapy against virus-associated malignancies.


Journal

BMC immunology
ISSN: 1471-2172
Titre abrégé: BMC Immunol
Pays: England
ID NLM: 100966980

Informations de publication

Date de publication:
28 09 2021
Historique:
received: 24 05 2021
accepted: 14 09 2021
entrez: 29 9 2021
pubmed: 30 9 2021
medline: 29 1 2022
Statut: epublish

Résumé

Adoptive transfer of T cells genetically engineered with a T cell receptor (TCR) is a promising cancer treatment modality that requires the identification of TCRs with good characteristics. Most T cell cloning methods involve a stringent singularization process, which necessitates either tedious hands-on operations or high cost. We present an efficient and nonstringent cloning approach based on existing techniques. We hypothesize that after elimination of most nonspecific T cells, a clonotype with high quality could outcompete other clonotypes and finally form a predominant population. This TCR identification method can be used to clone virus-specific TCRs efficiently from cancer patients and is easily adoptable by any laboratory.

Identifiants

pubmed: 34583647
doi: 10.1186/s12865-021-00455-3
pii: 10.1186/s12865-021-00455-3
pmc: PMC8480097
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

65

Informations de copyright

© 2021. The Author(s).

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Auteurs

Lei Chen (L)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Lianhua Dong (L)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Yipeng Ma (Y)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Juntao Wang (J)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Dongjuan Qiao (D)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China.

Geng Tian (G)

Department of Oncology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.

Mingjun Wang (M)

Department of Research and Development, Shenzhen Institute for Innovation and Translational Medicine, Shenzhen International Biological Valley-Life Science Industrial Park, Dapeng New District, Shenzhen, China. mingjunw@szinno.com.

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Classifications MeSH