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

Ping HanMaybelle K GoJeng Yeong ChowBo XueYan Ping LimMichael A CroneMarko StorchPaul S FreemontWen Shan Yew
Published in: Scientific reports (2021)
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.
Keyphrases
  • high throughput
  • sars cov
  • nucleic acid
  • single cell
  • machine learning
  • quality improvement
  • label free