A Synthetic Signaling Network Imitating the Action of Immune Cells in Response to Bacterial Metabolism
© 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.
Veröffentlicht in: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 35(2023), 33 vom: 13. Aug., Seite e2301562 |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | Advanced materials (Deerfield Beach, Fla.) |
Schlagworte: | Journal Article DNA nanotechnology antimicrobials netosis synthetic cells synthetic immunity Anti-Bacterial Agents Anti-Infective Agents |
Zusammenfassung: | © 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH. State-of-the-art bottom-up synthetic biology allows to replicate many basic biological functions in artificial-cell-like devices. To mimic more complex behaviors, however, artificial cells would need to perform many of these functions in a synergistic and coordinated fashion, which remains elusive. Here, a sophisticated biological response is considered, namely the capture and deactivation of pathogens by neutrophil immune cells, through the process of netosis. A consortium consisting of two synthetic agents is designed-responsive DNA-based particles and antibiotic-loaded lipid vesicles-whose coordinated action mimics the sought immune-like response when triggered by bacterial metabolism. The artificial netosis-like response emerges from a series of interlinked sensing and communication pathways between the live and synthetic agents, and translates into both physical and chemical antimicrobial actions, namely bacteria immobilization and exposure to antibiotics. The results demonstrate how advanced life-like responses can be prescribed with a relatively small number of synthetic molecular components, and outlines a new strategy for artificial-cell-based antimicrobial solutions |
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Beschreibung: | Date Completed 18.08.2023 Date Revised 18.10.2024 published: Print-Electronic Citation Status MEDLINE |
ISSN: | 1521-4095 |
DOI: | 10.1002/adma.202301562 |