Probe-screened carbon nanotube field-effect transistor biosensor to enhance breast cancer-related gene assay

Pei Liu , Yiwei Liu , Bingjie Cai , Jiahao Li , Guo-Jun Zhang
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Abstract

BRCA1 gene testing is a trump card for liquid biopsy and early diagnosis in breast cancer, which has been limited, however, by the fact that the current mainstream methods such as gene sequencing are expensive, time-consuming and complex. In this study, a semiconductor carbon nanotube (CNT)-based field-effect transistor (FET) DNA sensor, with a floating gate (FG) structure and Y2O3 / HfO2 high κ bilayer gate dielectric, was constructed. A key advance here is that the detection performance of three nucleic acid probes, DNA, phosphorodiamidate morpholino oligos (PMO) and peptide nucleic acid (PNA), was systematically investigated for the first time to define the optimal BRCA1 sensor configuration. The PNA-functionalized FG CNT-FET sensor stood out with an excellent sensitivity (LOD: 1.38 aM) and good specificity. What is more, the developed sensor also exhibited good anti-interference capability in serum BRCA1 testing, owing to the passivation of the bilayer dielectric. Importantly, the breast cancer patients and healthy individuals were successfully distinguished by our method, which is fully consistent with the gene sequencing results. This work represents a desirable analytical platform for the simple, sensitive, and accurate liquid biopsy of breast cancer. And we envision that the developed method will provide ideas for the construction of future DNA sensors and the selection of their recognition elements.

Abstract Image

探针筛选碳纳米管场效应晶体管生物传感器增强乳腺癌相关基因分析
BRCA1基因检测是乳腺癌液体活检和早期诊断的一张王牌,但由于目前基因测序等主流方法昂贵、耗时且复杂,BRCA1基因检测一直受到限制。在本研究中,构建了一种基于半导体碳纳米管(CNT)的场效应晶体管(FET) DNA传感器,该传感器具有浮栅(FG)结构和Y2O3 / HfO2高κ双层栅电介质。本文的一个关键进展是首次系统地研究了DNA、磷酸二酯寡聚物(PMO)和肽核酸(PNA)三种核酸探针的检测性能,以确定最佳的BRCA1传感器配置。pna功能化的FG cnts - fet传感器具有优异的灵敏度(LOD: 1.38 aM)和良好的特异性。此外,由于双层电介质的钝化作用,该传感器在血清BRCA1检测中也表现出良好的抗干扰能力。重要的是,我们的方法成功地区分了乳腺癌患者和健康个体,这与基因测序结果完全一致。本研究为简便、灵敏、准确的乳腺癌液体活检提供了理想的分析平台。该方法将为未来DNA传感器的构建和识别元素的选择提供思路。
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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