期刊
ACS SENSORS
卷 6, 期 9, 页码 3234-3241出版社
AMER CHEMICAL SOC
DOI: 10.1021/acssensors.1c00890
关键词
exosome; SERS; modularized labeling; biosensor; postoperative recurrence surveillance
资金
- National Key R&D Program of China [2020YFA0210800]
- National Natural Science Foundation of China [21874092, 31671003, 81901792]
- Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, Innovative Research Team of HighLevel Local Universities in Shanghai, Science and Technology Commission of Shanghai Municipality [19ZR1428800]
- Shanghai Super Postdoctoral Incentive Program
The study developed a modularized surface-enhanced Raman spectroscopy (SERS) labeling strategy for ultrasensitive exosome detection, enabling successful tumor monitoring and differentiation between cancer patients and healthy subjects.
Exosome-based liquid biopsy holds great potential in monitoring tumor progression. Current exosome detection biosensors rely on signal amplification strategies to improve sensitivity; however, these strategies pay little attention to manipulating the number of signal reporters, limiting the rational optimization of the biosensors. Here, we have developed a modularized surface-enhanced Raman spectroscopy (SERS) labeling strategy, where each Raman reporter is coupled with lysine as a signal-lysine module, and thus the number of Raman reporters can be precisely controlled by the modularized solid-phase peptide synthesis. Using this strategy, we screened out an optimum Raman biosensor for ultrasensitive exosome detection, with the limit of detection of 2.4 particles per microliter. This biosensor enables a successful detection of the tumor with an average diameter of approximately 3.55 mm, and thus enables successful surveillance of the postoperative tumor recurrence in mice models and distinguishing cancer patients from healthy subjects. Our work provides a de novo strategy to precisely amplify signals toward a myriad of biosensor-related medical applications.
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