A high-throughput pipeline for scalable kit-free RNA extraction

被引：0

作者：

Ping Han

Maybelle K. Go

Jeng Yeong Chow

Bo Xue

Yan Ping Lim

Michael A. Crone

Marko Storch

Paul S. Freemont

Wen Shan Yew

机构：

[1] National University of Singapore,Synthetic Biology for Clinical and Technological Innovation

[2] Yong Loo Lin School of Medicine,Synthetic Biology Translational Research Programme

[3] National University of Singapore,Department of Biochemistry

[4] Yong Loo Lin School of Medicine,Section of Structural and Synthetic Biology, Department of Infectious Disease, Faculty of Medicine

[5] National University of Singapore,London Biofoundry, Translation and Innovation Hub

[6] Imperial College London,undefined

[7] Imperial College White City Campus,undefined

[8] UK Dementia Research Institute Centre for Care Research and Technology,undefined

[9] Based at Imperial College London and the,undefined

[10] University of Surrey,undefined

来源：

Scientific Reports | / 11卷

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摘要：

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.

引用

共 27 条

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