Development and Optimization of Metagenomic Next-Generation Sequencing Methods for Cerebrospinal Fluid Diagnostics-Reference-Cited by-同舟云学术

Development and Optimization of Metagenomic Next-Generation Sequencing Methods for Cerebrospinal Fluid Diagnostics

Published:2018-09 Issue:9 Volume:56 Page:
ISSN:0095-1137
Container-title:Journal of Clinical Microbiology
language:en
Short-container-title:J Clin Microbiol

Author:

Simner Patricia J.¹,Miller Heather B.¹,Breitwieser Florian P.²,Pinilla Monsalve Gabriel³,Pardo Carlos A.¹³,Salzberg Steven L.²⁴,Sears Cynthia L.⁵,Thomas David L.⁵,Eberhart Charles G.¹⁶,Carroll Karen C.¹

Affiliation:

1. Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

2. Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA

3. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

4. Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, Maryland, USA

5. Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

6. Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA

Abstract

The purpose of this study was to develop and optimize different processing, extraction, amplification, and sequencing methods for metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) specimens. We applied mNGS to 10 CSF samples with known standard-of-care testing (SoC) results (8 positive and 2 negative).

Funder

Johns Hopkins Discovery Award

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Link

https://journals.asm.org/doi/pdf/10.1128/JCM.00472-18

Reference26 articles.

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