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DOI 10.1021/acs.analchem.5c00217

Медицинская библиотека · Analytical chemistry · 2025

New Rolling Circle Transcription Based on Allosteric Transcription Factors (aTFs) for Trace Detection of Water Contaminants.

Zhang Xi, Yu Ningkang, Zhang Yongkang, Bi Huaixiu, Xue Bin, Li Chao, Li Chenyu, Wang Shang, Yang Xiaobo, Qiu Zhigang, Zhang Bin, Wang Jingfeng, Zhao Chen, Shen Zhiqiang

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

Antibiotic and heavy metal contamination in water poses a severe global public health risk, yet conventional detection methods remain constrained by reliance on complex laboratory instrumentation. Although cell-free biosensors utilizing allosteric transcription factors (aTFs) offer promising alternatives, their limited sensitivity impedes reliable detection of small-molecule contaminants. To address this limitation, we developed allosteric transcription factors (aTFs)-regulated rolling circle transcription assay (ARCTA) for ultrasensitive detection of water contaminants. The ARCTA system employs a circular DNA template comprising a double-stranded region with a T7 promoter and aTFs binding sequence, alongside a single-stranded domain transcribable into fluorescent RNA. Target-specific recognition by aTFs enables rapid, efficient transcription and amplification of fluorescent RNA, achieving an exceptionally low detection threshold. Applied to tetracycline, oxytetracycline, erythromycin, clarithromycin, Hg2+, Pb2+, Cd2+, and As3+ in water samples, ARCTA demonstrated detection limits of 1.25 nM, 0.93 nM, 0.28 nM, 0.45 nM, 0.034 nM, 0.006 nM, 0.13 nM, and 0.016 nM, respectively, and all had a broad dynamic ranges.Notably, ARCTA by designing distinct circular DNA templates to transcribe wavelength-specific fluorescent RNAs, enabling the simultaneous detection of multiple targets. In addition, the system also exhibited robust performance in real-world applications, underscoring its practicality. These results highlight ARCTA's potential as a transformative tool for ultrasensitive monitoring of diverse small-molecule contaminants.

Для цитирования: Zhang Xi, Yu Ningkang, Zhang Yongkang, Bi Huaixiu, Xue Bin, Li Chao, Li Chenyu, Wang Shang, Yang Xiaobo, Qiu Zhigang, Zhang Bin, Wang Jingfeng, Zhao Chen, Shen Zhiqiang. New Rolling Circle Transcription Based on Allosteric Transcription Factors (aTFs) for Trace Detection of Water Contaminants.. Analytical chemistry. 2025. DOI: 10.1021/acs.analchem.5c00217.

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