Programming Receptor Clustering with DNA Probabilistic Circuits for Enhanced Natural Killer Cell Recognition.
Cell Recognition
Cell Surface Engineering
Cell-Based Immunotherapy
DNA Probabilistic Circuits
Receptor Clustering
Journal
Angewandte Chemie (International ed. in English)
ISSN: 1521-3773
Titre abrégé: Angew Chem Int Ed Engl
Pays: Germany
ID NLM: 0370543
Informations de publication
Date de publication:
11 07 2022
11 07 2022
Historique:
received:
14
03
2022
pubmed:
7
5
2022
medline:
8
7
2022
entrez:
6
5
2022
Statut:
ppublish
Résumé
Developing strategies to enhance the recognition ability of immune cells is important to the success of cell-based cancer immunotherapy. Herein, we report programming receptor clustering on membrane with DNA probabilistic circuits for enhanced immune cell recognition. By designing the circuit output to activate receptors for binding to adjacent receptors, we can engineer DNA probabilistic circuits for programmable regulation of receptor clustering. The generated receptor clusters show higher binding affinity to target cancer cells and improved membrane-anchoring stability compared with monomers. We demonstrate that programming receptor clustering could allow to modulate the recognition capability of natural killer cells and control natural killer cell-cancer cell interactions to promote efficient cancer cell killing. This work provides insights for precise control over cellular recognition and opens new opportunities for the development of cell-based immunotherapy.
Identifiants
pubmed: 35523723
doi: 10.1002/anie.202203800
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e202203800Informations de copyright
© 2022 Wiley-VCH GmbH.
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