酵田/G鱼残基酶1（G鱼除去脱氧核糖核酸内切酶1）被鉴定为潜在的肿瘤生物标记物，在肿瘤细胞系的发生和进展以及基因组稳定性方面起着至关重要的作用。然而，传统方法通常依赖于抗原和抗体之间的相互作用，限制其在G鱼除去脱氧核糖核酸内切酶1表达定性评估方面的应用价值。在此基础上，我们开发了一种全能酶DNA网络（EDN）测定法，利用催化发夹装配实现了对G鱼除去脱氧核糖核酸内切酶1的无标签和超灵敏检测。在这项工作中，阻断链可通过阻碍互补区域，阻止在没有G鱼除去脱氧核糖核酸内切酶1靶点的情况下，发夹和探针的杂交。而靶点的存在能够解锁引发器，激活催化发夹反应，并增加荧光信号。在最佳条件下，该开发的检测方法能够检测到4.78×10-6 U mL-1的G鱼除去脱氧核糖核酸内切酶1靶点，并拥有从5×10-6 U mL-1到30 U mL-1的广泛线性范围。与酶联免疫吸附测定（ELISA）相比，该策略还成功应用于复杂生物样品的分析，展示了其在生物化学和分子生物学研究以及临床诊断中的潜在应用。总的来说，由于高扩增效率的优势，该策略成功简便地检测到了稀有的G鱼除去脱氧核糖核酸内切酶1，并具有在临床检测应用中的巨大潜力。版权所有 © 2023. Elsevier B.V. 发布。

Apurinic/apyrimidinic endonuclease 1 (APE1), identified as a prospective cancer biomarker, plays a vital role in the occurrence and progression of cancer cell lines and impacts on genome stability. However, conventional approaches typically rely on the interactions between the antigen and antibody, limiting their utility for qualitative assessments of APE1 expression. Herein, an all-in-one enzymatic DNA network (EDN) assay with catalytic hairpin assembly for label-free and ultrasensitive detection of APE1 has been developed. In this work, the blocking strand can inhibit the initiator by obstructing the complementary region, preventing the hairpin from hybridizing in the absence of APE1 targets. While the presence of targets can activate the unlocking of the initiator, which can trigger the catalytic hairpin reaction, and increase the fluorescent signal. Under optimal conditions, the developed sensing method can detect the target APE1 down to 4.78 × 10-6 U mL-1 with a wide linear range from 5 × 10-6 U mL-1 to 30 U mL-1. This strategy has also been successfully applied to the analysis of complicated biological samples compared to ELISA, demonstrating its potential applications in biochemical and molecular biology research as well as clinical diagnostics. Overall, benefiting from the high amplification efficiency, this strategy has successfully and simply detected low-abundance APE1 without additional enzyme isolation steps, presenting great potential for clinical detection applications.Copyright © 2023. Published by Elsevier B.V.