Understanding Intracellular Biology to Improve mRNA Delivery by Lipid Nanoparticles

Abstract: Poor understanding of intracellular delivery and targeting hinders development of nucleic acid‐based therapeutics transported by nanoparticles. Utilizing a siRNA‐targeting and small molecule profiling approach with advanced imaging and machine learning biological insights is generated into the mechanism of lipid nanoparticle (MC3‐LNP) delivery of mRNA. This workflow is termed Advanced Cellular and Endocytic profiling for Intracellular Delivery (ACE‐ID). A cell‐based imaging assay and perturbation of 178 targets relevant to intracellular trafficking is used to identify corresponding effects on functional mRNA delivery. Targets improving delivery are analyzed by extracting data‐rich phenotypic fingerprints from images using advanced image analysis algorithms. Machine learning is used to determine key features correlating with enhanced delivery, identifying fluid‐phase endocytosis as a productive cellular entry route. With this new knowledge, MC3‐LNP is re‐engineered to target macropinocytosis, and this significantly improves mRNA delivery in vitro and in vivo. The ACE‐ID approach can be broadly applicable for optimizing nanomedicine‐based intracellular delivery systems and has the potential to accelerate the development of delivery systems for nucleic acid‐based therapeutics.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Understanding Intracellular Biology to Improve mRNA Delivery by Lipid Nanoparticles ; day:14 ; month:06 ; year:2023 ; extent:13 ; Small Methods ; (14.06.2023) (gesamt 13)

Beteiligte, Orts- und Zeitangaben

• Urheber: Hunter, Morag Rose ; Cui, Lili ; Porebski, Benjamin Thomas ; Pereira, Sara ; Sonzini, Silvia ; Odunze, Uchechukwu ; Iyer, Preeti ; Engkvist, Ola ; Lloyd, Rebecca Louise ; Peel, Samantha ; Sabirsh, Alan ; Ross‐Thriepland, Douglas ; Jones, Arwyn Tomos ; Desai, Arpan Shailesh

Weitere Informationen

• DOI: 10.1002/smtd.202201695
• URN: urn:nbn:de:101:1-2023061515231986536021
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:53 MESZ