DNA-Engineered iron-based metal-organic framework bio-interface for rapid visual determination of exosomes.
J Colloid Interface Sci
; 612: 424-433, 2022 Apr 15.
Article
en En
| MEDLINE
| ID: mdl-34999547
ABSTRACT
In this study, a rapid, low-cost and facile method for detecting exosomes was developed by engineering DNA ligands on the surface of an iron-based metal-organic framework (Fe-MOF). Aptamers of exosomal transmembrane CD63 protein (CD63-aptamers) were utilized as both the optically active layer and the exosome-specific recognition element to engineer an Fe-MOF bio-interface for high-efficiency regulation of the catalytic behavior of Fe-MOF toward the chromogenic substrate. The effective enhancement of the intrinsic peroxidase-like catalytic activity was confirmed via the self-assembly of CD63-aptamers on the surface of Fe-MOF. The specific binding of exosomes with CD63-aptamers altered the conformation of DNA ligands on the surface of Fe-MOF, contributing to sensitive variation in Fe-MOF catalytic activity. This directly produced a distinct color change and enabled the visual detection of exosomes. Via one-step "mixing-and-detection", the Fe-MOF bio-interface exhibited excellent performance in quantitative analysis of exosomes derived from human breast cancer cell lines ranging from 1.1 × 105 to 2.2 × 107 particles/µL with a detection limit of 5.2 × 104 particles/µL. The expression of exosomal CD63 proteins originated from three types of cancer cell lines, including breast cancer, gastric cancer and lung cancer cell lines, was differentiated within only 17 min. Furthermore, the method was successfully applied to the identification of exosomes in serum samples, suggesting its potential in clinical analysis as a valuable tool for the rapid, convenient and economical testing of exosomes.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Técnicas Biosensibles
/
Aptámeros de Nucleótidos
/
Exosomas
/
Estructuras Metalorgánicas
Límite:
Humans
Idioma:
En
Revista:
J Colloid Interface Sci
Año:
2022
Tipo del documento:
Article
País de afiliación:
China