Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ https://doi.org/10.2...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://doi.org/10.21203/rs.3....
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Unified metagenomic method for rapid detection of bacteria, fungi and viruses in clinical samples

Authors: Adela Alcolea-Medina; Christopher Alder; Luke Snell; Themoula Charalampous; Alp Aydin; Gaia Nebbia; Tom Williams; +8 Authors

Unified metagenomic method for rapid detection of bacteria, fungi and viruses in clinical samples

Abstract

Abstract Clinical metagenomic sequencing can detect microorganisms causing infection directly from clinical samples. Depletion of host DNA is key to increasing sensitivity and reducing turnaround time (TAT). Several human DNA depletion methods have been previously published for detecting microorganisms with DNA and RNA genomes in clinical samples using metagenomics techniques, however, these methodologies only allow for the detection of either DNA or RNA microbes, but not both simultaneously. Thus, we have developed a mechanical-based human DNA depletion method that allows simultaneous detection of RNA and DNA microorganisms, including viruses, bacteria and fungi, directly from clinical samples using Oxford Nanopore Technology. The method is technically easy and rapid to perform and successfully removes human DNA from the samples, decreasing human DNA detection with a media of eight Ct values. Workflow detects a broad range of organisms: RNA & DNA viruses, bacteria (Gram-negative and Gram-positive and atypical respiratory pathogens (legionella, chlamydia, mycoplasma) and fungi (Candida, Pneumocystis, Aspergillus)​ 2-hour reports have > 90% sensitivity for bacterial and viral detection compared with routine laboratory results. Positive results are first reportable after 30 min sequencing in a 7h end-to-end workflow.​ The whole genome sequence was achieved in 42% of the viruses detected.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid