A self-catalytic UCNP-based nanomachine activated by duplex DNA for highly sensitive detection of CTCs

IF 10.7 1区生物学 Q1 BIOPHYSICS

Biosensors and Bioelectronics Pub Date : 2025-04-16 DOI:10.1016/j.bios.2025.117483

Kemeng Zhang , Jiajun Li , Ye Li , Wen Zhang , Guohai Liang , Tao Zhang

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引用次数: 0

Abstract

Detection of circulating tumor cells (CTCs) has proven to be a crucial approach for early diagnosis, prognosis, and monitoring of cancer treatment. However, due to the low abundance of CTCs in blood, achieving accurate detection in the presence of a large number of blood cells remains challenging. In this study, we present a novel self-catalytic nanomachine for quantitative detection of CTCs, which includes a dual aptamer-triggered Catalytic Hairpin Assembly (CHA) reaction and subsequent UCNP-DNA-based biosensing. The dual-aptamer recognition, the two-step CHA reaction and the UCNP ratiometric sensing luminescence provide the assay with high specificity and sensitivity. Using MDA-MB-231 cells as model targets, the proposed detection system affords a wide linear detection range and a detection limit as low as 3 cells. Our system offers sensitive detection of CTCs without the need for enzymatic involvement, indicating its substantial potential for early cancer diagnosis and treatment based on CTCs.

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一种由双链DNA激活的自催化ucnp纳米机器，用于高灵敏度检测ctc

循环肿瘤细胞（CTCs）的检测已被证明是早期诊断、预后和监测癌症治疗的重要方法。然而，由于血液中ctc的丰度较低，在大量血细胞存在的情况下实现准确检测仍然具有挑战性。在这项研究中，我们提出了一种用于ctc定量检测的新型自催化纳米机器，该机器包括双适体触发的催化发夹组装（CHA）反应和随后的基于ucnp - dna的生物传感。双适体识别、两步CHA反应和UCNP比例感应发光使该方法具有较高的特异性和灵敏度。该检测系统以MDA-MB-231细胞为模型靶标，具有较宽的线性检测范围和低至3个细胞的检测限。我们的系统提供了不需要酶参与的ctc的敏感检测，表明其基于ctc的早期癌症诊断和治疗的巨大潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biosensors and Bioelectronics 工程技术-电化学

CiteScore

20.80

自引率

7.10%

发文量

1006

审稿时长

29 days

期刊介绍： Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.