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- W4226108735 abstract "Nucleic acid amplification technique (NAAT)-assisted detection is the primary intervention for pathogen molecular diagnostics. However, NAATs such as quantitative real-time polymerase chain reaction (qPCR) require prior purification or extraction of target nucleic acid from the sample of interest since the latter often contains polymerase inhibitors. Similarly, genetic disease screening is also reliant on the successful extraction of pure patient genomic DNA from the clinical sample. However, such extraction techniques traditionally utilize spin-column techniques that in turn require centralized high-speed centrifuges. This hinders any potential deployment of qPCR- or PCR-like NAAT methods in resource-constrained settings. The development of instrument-free nucleic acid extraction methods, especially those utilizing readily available materials would be of great interest and benefit to NAAT-mediated molecular diagnosis workflows in resource-constrained settings. In this report, we screened medical-grade cotton, a readily available over-the-counter biomaterial to extract E. coli genomic DNA (gDNA) spiked in 30%, 45%, and 60% serum. The extraction was carried out in a completely instrument-free manner using cotton and a sterilized toothpick and was completed in 30 min (with using chaotropic salt) or 10 min (without using chaotropic salt). The quality of the extracted DNA was then probed using PCR followed by agarose gel analysis, qPCR, and sequencing. Our method demonstrated that the high-quality DNA extraction could be performed both with or without using a chaotropic salt, albeit with a difference in the quality of the extracted DNA." @default.
- W4226108735 created "2022-05-05" @default.
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- W4226108735 date "2022-04-07" @default.
- W4226108735 modified "2023-09-28" @default.
- W4226108735 title "Nucleic acid extraction from complex biofluid using toothpick-actuated over-the-counter medical-grade cotton" @default.
- W4226108735 doi "https://doi.org/10.26434/chemrxiv-2022-v7rmw" @default.
- W4226108735 hasPublicationYear "2022" @default.
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