Visual and modular detection of pathogen nucleic acids with enzyme-DNA molecular complexes

被引:79
作者
Ho, Nicholas R. Y. [1 ,2 ]
Lim, Geok Soon [1 ,2 ]
Sundah, Noah R. [1 ,3 ]
Lim, Diana [4 ]
Loh, Tze Ping [1 ,5 ]
Shao, Huilin [1 ,2 ,3 ,6 ]
机构
[1] Natl Univ Singapore, Biomed Inst Global Hlth Res & Technol, Singapore 117599, Singapore
[2] Agcy Sci Technol & Res, Inst Mol & Cell Biol, Singapore 138673, Singapore
[3] Natl Univ Singapore, Dept Biomed Engn, Fac Engn, Singapore 117583, Singapore
[4] Natl Univ Singapore Hosp, Dept Pathol, Singapore 119074, Singapore
[5] Natl Univ Singapore Hosp, Dept Lab Med, Singapore 117599, Singapore
[6] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Surg, Singapore 119228, Singapore
关键词
CARCINOMA CELL-LINES; HUMAN-PAPILLOMAVIRUS; ISOTHERMAL AMPLIFICATION; CERVICAL-CANCER; ZIKA VIRUS; SEQUENCES; POINT; PCR;
D O I
10.1038/s41467-018-05733-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Rapid, visual detection of pathogen nucleic acids has broad applications in infection management. Here we present a modular detection platform, termed enzyme-assisted nanocomplexes for visual identification of nucleic acids (enVision). The system consists of an integrated circuit of enzyme-DNA nanostructures, which function as independent recognition and signaling elements, for direct and versatile detection of pathogen nucleic acids from infected cells. The built-in enzymatic cascades produce a rapid color readout for the naked eye; the assay is thus fast (<2 h), sensitive (<10 amol), and readily quantified with smart-phones. When implemented on a configurable microfluidic platform, the technology demonstrates superior programmability to perform versatile computations, for detecting diverse pathogen targets and their virus-host genome integration loci. We further design the enVision platform for molecular-typing of infections in patient endocervical samples. The technology not only improves the clinical inter-subtype differentiation, but also expands the intra-subtype coverage to identify previously undetectable infections.
引用
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页数:11
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