2021
DOI: 10.1002/advs.202102593
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Targeting RNA with Next‐ and Third‐Generation Sequencing Improves Pathogen Identification in Clinical Samples

Abstract: Fast and accurate identification of microbial pathogens is critical for the proper treatment of infections. Traditional culture-based diagnosis in clinics is increasingly supplemented by metagenomic next-generation-sequencing (mNGS). Here, RNA/cDNA-targeted sequencing (meta-transcriptomics using NGS (mtNGS)) is established to reduce the host nucleotide percentage in clinic samples and by combining with Oxford Nanopore Technology (ONT) platforms (meta-transcriptomics using third-generation sequencing, mtTGS) to… Show more

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Cited by 40 publications
(22 citation statements)
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“…This was probably because of the development of diagnostic techniques such as pathogenic metagenomic technology in recent years [15]. However, these techniques have limitations in clinical application due to various factors, such as cost [16].…”
Section: Discussionmentioning
confidence: 99%
“…This was probably because of the development of diagnostic techniques such as pathogenic metagenomic technology in recent years [15]. However, these techniques have limitations in clinical application due to various factors, such as cost [16].…”
Section: Discussionmentioning
confidence: 99%
“…In this study, we show that a tNGS-based kit, RPIP, can be used for pathogen microbial and ARG detection in BALF specimens from children. tNGS is a new workflow that uses nucleic acid probes to enrich for specific pathogens and other genes of interest [30]. RPIP is a commercial kit that applies this technology to identify respiratory pathogens and ARGs.…”
Section: Discussionmentioning
confidence: 99%
“…The length of DNA fragments from the samples is an important factor affecting the enrichment effect of adaptive sequencing, and libraries with longer fragment lengths showed better enrichment performance ( Zhao et al, 2021 ; Martin et al, 2022 ). In this study, the RPNAS workflow, which generated a longer length of library fragments, also showed better enrichment performance than that of the LNAS workflow.…”
Section: Discussionmentioning
confidence: 99%