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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Autores principales: Ping Han, Maybelle K. Go, Jeng Yeong Chow, Bo Xue, Yan Ping Lim, Michael A. Crone, Marko Storch, Paul S. Freemont, Wen Shan Yew
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/adbe31d6d62648fcadffb1dafb644a27
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle 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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