A high-throughput pipeline for scalable kit-free RNA extraction
Abstract An overreliance on commercial, kit-based RNA extraction in the molecular diagnoses of infectious disease presents a challenge in the event of supply chain disruptions and can potentially hinder testing capacity in times of need. In this study, we adapted a well-established, robust TRIzol-ba...
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Nature Portfolio
2021
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oai:doaj.org-article:adbe31d6d62648fcadffb1dafb644a272021-12-05T12:13:58ZA high-throughput pipeline for scalable kit-free RNA extraction10.1038/s41598-021-02742-w2045-2322https://doaj.org/article/adbe31d6d62648fcadffb1dafb644a272021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02742-whttps://doaj.org/toc/2045-2322Abstract An overreliance on commercial, kit-based RNA extraction in the molecular diagnoses of infectious disease presents a challenge in the event of supply chain disruptions and can potentially hinder testing capacity in times of need. In this study, we adapted a well-established, robust TRIzol-based RNA extraction protocol into a high-throughput format through miniaturization and automation. The workflow was validated by RT-qPCR assay for SARS-CoV-2 detection to illustrate its scalability without interference to downstream diagnostic sensitivity and accuracy. This semi-automated, kit-free approach offers a versatile alternative to prevailing integrated solid-phase RNA extraction proprietary systems, with the added advantage of improved cost-effectiveness for high volume acquisition of quality RNA whether for use in clinical diagnoses or for diverse molecular applications.Ping HanMaybelle K. GoJeng Yeong ChowBo XueYan Ping LimMichael A. CroneMarko StorchPaul S. FreemontWen Shan YewNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q |
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Medicine R Science Q Ping Han Maybelle K. Go Jeng Yeong Chow Bo Xue Yan Ping Lim Michael A. Crone Marko Storch Paul S. Freemont Wen Shan Yew A high-throughput pipeline for scalable kit-free RNA extraction |
description |
Abstract An overreliance on commercial, kit-based RNA extraction in the molecular diagnoses of infectious disease presents a challenge in the event of supply chain disruptions and can potentially hinder testing capacity in times of need. In this study, we adapted a well-established, robust TRIzol-based RNA extraction protocol into a high-throughput format through miniaturization and automation. The workflow was validated by RT-qPCR assay for SARS-CoV-2 detection to illustrate its scalability without interference to downstream diagnostic sensitivity and accuracy. This semi-automated, kit-free approach offers a versatile alternative to prevailing integrated solid-phase RNA extraction proprietary systems, with the added advantage of improved cost-effectiveness for high volume acquisition of quality RNA whether for use in clinical diagnoses or for diverse molecular applications. |
format |
article |
author |
Ping Han Maybelle K. Go Jeng Yeong Chow Bo Xue Yan Ping Lim Michael A. Crone Marko Storch Paul S. Freemont Wen Shan Yew |
author_facet |
Ping Han Maybelle K. Go Jeng Yeong Chow Bo Xue Yan Ping Lim Michael A. Crone Marko Storch Paul S. Freemont Wen Shan Yew |
author_sort |
Ping Han |
title |
A high-throughput pipeline for scalable kit-free RNA extraction |
title_short |
A high-throughput pipeline for scalable kit-free RNA extraction |
title_full |
A high-throughput pipeline for scalable kit-free RNA extraction |
title_fullStr |
A high-throughput pipeline for scalable kit-free RNA extraction |
title_full_unstemmed |
A high-throughput pipeline for scalable kit-free RNA extraction |
title_sort |
high-throughput pipeline for scalable kit-free rna extraction |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/adbe31d6d62648fcadffb1dafb644a27 |
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