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Evaluating Endosomal Escape of Caspase-3-Containing Nanomaterials Using Split GFP
Biomacromolecules
|February 16, 2021
Summary
Developing effective protein delivery systems requires overcoming endosomal entrapment. This study introduces a novel assay to quantify endosomal escape, revealing that functionalizing nanogels with specific peptides significantly improves cytosolic delivery of proteins.
Area of Science:
- Biotechnology
- Nanomedicine
- Cell Biology
Background:
- Biologics require intracellular delivery for efficacy, often using nanocarriers that enter cells via endocytosis.
- Endosomal escape is a critical bottleneck, limiting therapeutic potential due to inefficient release from endosomes.
- Current methods for assessing cytosolic delivery are often inaccurate, hindering the development of effective delivery systems.
Purpose of the Study:
- To develop and validate a quantitative assay for assessing endosomal escape efficiency.
- To systematically investigate factors influencing nanocarrier endosomal escape, including material properties and surface modifications.
- To guide the development of optimized nanocarrier systems for enhanced intracellular protein delivery.
Main Methods:
- Utilized a split-complementation endosomal escape (SEE) assay to quantify cytosolic caspase-3 levels.
- Evaluated polymer nanogels and mesoporous silica nanoparticles as delivery vehicles.
- Investigated the impact of polymer composition, architecture, hydrophobicity, and surface functionalization on endosomal escape.
Main Results:
- Nanogel functionalization with cationic and pH-sensitive peptides significantly enhanced endosomal escape.
- Functionalized nanogels showed increased nanocarrier accumulation per endosome.
- Polymer structure had minimal impact on endosomal escape efficiency.
Conclusions:
- The SEE assay provides a robust framework for evaluating protein delivery vehicles and assessing endosomal escape.
- Surface functionalization of nanogels is a key strategy for improving cytosolic delivery of therapeutic proteins.
- This approach can be adapted for various protein cargos and delivery systems to optimize intracellular targeting.

