Dual-Responsive Carbon Quantum Dots for the Simultaneous Detection of Cytosine and 5-Methylcytosine Interpreted by a Machine Learning-Assisted Smartphone

DNA甲基化 荧光 表观遗传学 甲基化 材料科学 猝灭(荧光) 胞嘧啶 5-甲基胞嘧啶 量子点 光化学 分析化学(期刊) DNA 化学 色谱法 纳米技术 生物化学 基因 基因表达 物理 光学
作者
Janpen Thonghlueng,Sawinee Ngernpimai,Adulvit Chuaephon,Witthawat Phanchai,Theanchai Wiwasuku,Yupaporn Wanna,Kannika Wiratchawa,Thanapong Intharah,Raynoo Thanan,Chadamas Sakonsinsiri,Theerapong Puangmali
出处
期刊:ACS Applied Materials & Interfaces [American Chemical Society]
卷期号:15 (34): 40141-40152 被引量:12
标识
DOI:10.1021/acsami.3c00785
摘要

DNA methylation is an epigenetic alteration that results in 5-methylcytosine (5-mC) through the addition of a methyl group to the fifth carbon of a cytosine (C) residue. The methylation level, the ratio of 5-mC to C, in urine might be related to the whole-body epigenetic status and the occurrence of common cancers. To date, never before have any nanomaterials been developed to simultaneously determine C and 5-mC in urine samples. Herein, a dual-responsive fluorescent sensor for the urinary detection of C and 5-mC has been developed. This assay relied on changes in the optical properties of nitrogen-doped carbon quantum dots (CQDs) prepared by microwave-assisted pyrolysis. In the presence of C, the blue-shifted fluorescence intensity of the CQDs increased. However, fluorescence quenching was observed upon the addition of 5-mC. This was primarily due to photoinduced electron transfer as confirmed by the density functional theory calculation. In urine samples, our sensitive fluorescent sensor had detection limits for C and 5-mC of 43.4 and 74.4 μM, respectively, and achieved satisfactory recoveries ranging from 103.5 to 115.8%. The simultaneous detection of C and 5-mC leads to effective methylation level detection, achieving recoveries in the range of 104.6-109.5%. Besides, a machine learning-enabled smartphone was also developed, which can be effectively applied to the determination of methylation levels (0-100%). These results demonstrate a simple but very effective approach for detecting the methylation level in urine, which could have significant implications for predicting the clinical prognosis.
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