分子生物学
IVD分子诊断
细胞培养与分析
蛋白研究
细胞因子
重组蛋白
抗体
高通量测序建库
病原检测UCF系列
生物医药
工具酶
抑制剂激活剂与常用试剂
仪器
耗材

Biolayer interferometry-based detection of engineered extracellular vesicles binding to type I collagen

Yan-Jing Zhang, Yinchan Wang, Xuemei Chen, Shuaishuai Yu, Jingyuan Yang, Lin Cheng, Jing Cui, Sisi Wu

Journal:ANALYTICAL BIOCHEMISTRY

IF:3.1

DOI:10.1016/j.ab.2026.116162

PMID:

Published:2026-05-28

research field:分子成像药物递送生物传感器技术细胞外囊泡研究纳米医学生物物理学

Abstract

A new BLI platform analyzes protein-EV interactions in real time. • Octet RED96 quantifies binding affinity via wavelength shift. • Rapid detection, low sample consumption. Engineered extracellular vesicles (EVs) have garnered significant attention due to their potential serving as both therapeutic agents and drug delivery vehicles. Real-time monitoring of engineered EVs-target interactions constitutes a critical need for advancing EVs-based therapeutics. Here, we present a novel biolayer interferometry (BLI)-based analytical platform for detecting dynamic interactions between collagen-binding domain (CBD)-engineered EVs and type I collagen (Col I). A stable CD63-CBD fusion protein-expressing mouse tendon cell line (designated TT-D6s CBD cells) was initially established using a lentiviral transduction system. Engineered EVs (TT-D6s CBD EVs) were subsequently isolated through optimized differential ultracentrifugation. Col I was covalently immobilized on AR2G biosensors for detecting EVs binding using BLI technology. Quantitative analysis revealed that TT-D6s CBD EVs-treated biosensors demonstrated significantly enhanced BLI signals versus control group (TT-D6s Vec EVs), along with time-dependent signal accumulation. Correlative microscopy validation—including scanning electron microscopy (SEM) and confocal microscopy imaging—confirmed the enhanced EVs binding capacity in the test group compared to controls. This work establishes a paradigmatic methodology for characterizing binding kinetics between engineered EVs and their molecular targets, offering critical technical support for advancing precision EVs-based therapeutics. Download: Download high-res image (242KB) Download: Download full-size image

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