Peptide-based biosensing approaches for targeting breast cancer-derived exosomes

Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics...

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Veröffentlicht in:Biosensors & bioelectronics 2024-07, Vol.255, p.116211-116211, Article 116211
Hauptverfasser: da Fonseca Alves, Rafael, Pallarès-Rusiñol, Arnau, Rossi, Rosanna, Martí, Merce, Vaz, Emilia Rezende, de Araújo, Thaise Gonçalves, Sotomayor, Maria Del Pilar Taboada, Pividori, Maria Isabel
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Sprache:eng
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Zusammenfassung:Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics. This study explores the use of peptides as cost-effective and stable alternatives to antibodies for exosome binding. To achieve that, phage display technology was employed to select peptides with high specificity for target molecules in exosomes. Specifically, a selected peptide was evaluated for its ability to selectively bind breast cancer-derived exosomes. Proteomic analysis identified 38 protein candidates targeted by the peptide on exosome membranes. The binding of the peptide to breast cancer-derived exosomes was successfully demonstrated by flow cytometry and magneto-actuated immunoassays. Furthermore, an electrochemical biosensor was also tested for breast cancer-derived exosome detection and quantification. The peptide demonstrated effective binding to exosomes from aggressive cancer cell lines, offering promising results in terms of specificity and recovery. This research shows potential for developing rapid, accessible diagnostic tools for breast cancer, especially in low-resource healthcare settings.
ISSN:0956-5663
1873-4235
DOI:10.1016/j.bios.2024.116211