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

Autor: Ho NRY; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore., Lim GS; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore., Sundah NR; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore., Lim D; Department of Pathology, National University Hospital, Singapore, 119074, Singapore., Loh TP; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore.; Department of Laboratory Medicine, National University Hospital, Singapore, 117599, Singapore., Shao H; Biomedical Institute for Global Health Research and Technology, National University of Singapore, Singapore, 117599, Singapore. huilin.shao@nus.edu.sg.; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore. huilin.shao@nus.edu.sg.; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore. huilin.shao@nus.edu.sg.; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore. huilin.shao@nus.edu.sg.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2018 Aug 13; Vol. 9 (1), pp. 3238. Date of Electronic Publication: 2018 Aug 13.
DOI: 10.1038/s41467-018-05733-0
Abstrakt: 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 smartphones. 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.
Databáze: MEDLINE