Related Experiment Video
Updated: May 25, 2026

08:26
Analyzing the Interaction of Fluorescent-Labeled Proteins with Artificial Phospholipid Microvesicles using Quantitative Flow Cytometry
Published on: April 6, 2022
Label-free quantitative analysis for studying the interactions between nanoparticles and plasma proteins
Anna Laura Capriotti1, Giulio Caracciolo, Giuseppe Caruso
1Dipartimento di Chimica, Sapienza Università di Roma, Roma, Italia. annalaura.capriotti@uniroma1.it
Analytical and Bioanalytical Chemistry
|January 26, 2012
Summary
Researchers compared protein binding on cationic liposomes, DNA-cationic lipid complexes (lipoplexes), and lipid-polycation-DNA (LPD) complexes. Lipoplexes and LPD complexes showed richer protein variety and significant differences, aiding gene-delivery system design.
Area of Science:
- Biomaterials Science
- Proteomics
- Gene Therapy Delivery
Background:
- Understanding protein interactions with nanomaterials is crucial for developing effective gene-delivery systems.
- The protein corona influences the in vivo behavior and efficacy of nanocarriers.
Purpose of the Study:
- To compare the protein binding capabilities of cationic liposomes, lipoplexes, and lipid-polycation-DNA (LPD) complexes.
- To characterize and quantify the protein corona formed on these different gene-delivery systems.
Main Methods:
- Shotgun proteomics approach using nano-high-performance liquid chromatography and LTQ Orbitrap XL mass spectrometry.
- Label-free quantification via spectral counting and area under curve methods.
Main Results:
- Significant qualitative and quantitative differences in protein binding were observed across the three systems.
- Lipoplexes and LPD complexes exhibited a richer variety of bound proteins compared to cationic liposomes.
- Substantial variations in the quantity of bound proteins were detected.
Conclusions:
- The distinct protein corona profiles suggest differential interactions with biological systems.
- Selective protein binding can be leveraged to engineer gene-delivery systems with improved biodistribution and therapeutic outcomes.
- These findings provide insights for optimizing nanocarrier design for enhanced gene therapy efficacy.

