Genetically Engineered Liposome‐like Nanovesicles as Active Targeted Transport Platform
Abstract: Ligand‐targeted delivery of drug molecules to various types of tumor cells remains a major challenge in precision medicine. Inspired by the secretion process and natural cargo delivery functions of natural exosomes, biomimetic synthetic strategies are exploited to prepare biofunctionalized liposome‐like nanovesicles (BLNs) that can artificially display a wide variety of targeting protein/peptide ligands and directly encapsulate medical agents for enhanced drug delivery. Here, as a proof of concept, genetically engineered BLNs, which display human epidermal growth factor (hEGF) or anti‐HER2 Affibody as targeting moieties, are developed to, respectively, target two types of tumor cells. Notably, in comparison to synthetic liposomes covalently coupled with hEGF, it is demonstrated in this work that biosynthetically displayed hEGF ligands on BLNs possess higher biological activities and targeting capabilities. Additionally, treatments with doxorubicin‐loaded BLNs displaying Affibody ligands exhibit much better antitumor therapeutic outcomes than clinically approved liposomal doxorubicin (Doxil) in HER2‐overexpressing BT474 tumor xenograft models. These data suggest that BLN is suitable as a potent surrogate for conventional proteoliposomes or immunoliposomes as a result of excellent targeting capacities and facile production of BLNs.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Genetically Engineered Liposome‐like Nanovesicles as Active Targeted Transport Platform ; volume:30 ; number:7 ; year:2018 ; extent:9
Advanced materials ; 30, Heft 7 (2018) (gesamt 9)
- Urheber
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Zhang, Pengfei
Zhang, Long
Qin, Zainen
Hua, Suhang
Guo, Zhide
Chu, Chengchao
Lin, Huirong
Zhang, Yang
Li, Wengang
Zhang, Xianzhong
Chen, Xiaoyuan
Liu, Gang
- DOI
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10.1002/adma.201705350
- URN
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urn:nbn:de:101:1-2022091019164973659199
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:25 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zhang, Pengfei
- Zhang, Long
- Qin, Zainen
- Hua, Suhang
- Guo, Zhide
- Chu, Chengchao
- Lin, Huirong
- Zhang, Yang
- Li, Wengang
- Zhang, Xianzhong
- Chen, Xiaoyuan
- Liu, Gang
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