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Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms.
Koh, Winston Lian Chye; Poh, Si En; Lee, Chun Kiat; Chan, Tim Hon Man; Yan, Gabriel; Kong, Kiat Whye; Lau, Lalita; Lee, Wai Yip Thomas; Cheng, Clark; Hoon, Shawn; Seow, Yiqi.
Affiliation
  • Koh WLC; Bioinformatic Institute, A*STAR (Agency for Science, Technology and Research), Singapore 138632, Singapore.
  • Poh SE; Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore.
  • Lee CK; Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore.
  • Chan THM; Department of Laboratory Medicine, National University Hospital, Singapore 119228, Singapore.
  • Yan G; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
  • Kong KW; Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore 119228, Singapore.
  • Lau L; Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore.
  • Lee WYT; Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore.
  • Cheng C; Paths Diagnostics Pte Limited, Singapore 349317, Singapore.
  • Hoon S; Paths Diagnostics Pte Limited, Singapore 349317, Singapore.
  • Seow Y; Institute of Molecular and Cell Biology, A*STAR (Agency for Science, Technology and Research), Singapore 138673, Singapore.
Bioengineering (Basel) ; 10(5)2023 Apr 25.
Article in En | MEDLINE | ID: mdl-37237590
ABSTRACT
Unbiased metagenomic sequencing is conceptually well-suited for first-line diagnosis as all known and unknown infectious entities can be detected, but costs, turnaround time and human background reads in complex biofluids, such as plasma, hinder widespread deployment. Separate preparations of DNA and RNA also increases costs. In this study, we developed a rapid unbiased metagenomics next-generation sequencing (mNGS) workflow with a human background depletion method (HostEL) and a combined DNA/RNA library preparation kit (AmpRE) to address this issue. We enriched and detected bacterial and fungal standards spiked in plasma at physiological levels with low-depth sequencing (<1 million reads) for analytical validation. Clinical validation also showed 93% of plasma samples agreed with the clinical diagnostic test results when the diagnostic qPCR had a Ct < 33. The effect of different sequencing times was evaluated with the 19 h iSeq 100 paired end run, a more clinically palatable simulated iSeq 100 truncated run and the rapid 7 h MiniSeq platform. Our results demonstrate the ability to detect both DNA and RNA pathogens with low-depth sequencing and that iSeq 100 and MiniSeq platforms are compatible with unbiased low-depth metagenomics identification with the HostEL and AmpRE workflow.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Bioengineering (Basel) Year: 2023 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Bioengineering (Basel) Year: 2023 Document type: Article Affiliation country: