The Clinical Utility of Two High-Throughput 16S rRNA Gene Sequencing Workflows for Taxonomic Assignment of Unidentifiable Bacterial Pathogens in Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry
Author(s) -
Hiu-Yin Lao,
Timothy Ting-Leung Ng,
Ryan Yik-Lam Wong,
Celia Sze-Ting Wong,
Lam-Kwong Lee,
Denise Wong,
Chloe Toi-Mei Chan,
Stephanie Hoi-Ching Jim,
Jake Siu-Lun Leung,
Hazel Wing-Hei Lo,
Ivan Tak-Fai Wong,
Miranda Chong-Yee Yau,
Jimmy Yiu-Wing Lam,
Alan Wu,
G. G. Siu
Publication year - 2021
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.01769-21
Subject(s) - mass spectrometry , 16s ribosomal rna , biology , computational biology , microbiology and biotechnology , clinical microbiology , ribosomal rna , matrix (chemical analysis) , throughput , bacteria , chromatography , genetics , gene , chemistry , computer science , telecommunications , wireless
Bacterial pathogens that cannot be identified using matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) are occasionally encountered in clinical laboratories. The 16S rRNA gene is often used for sequence-based analysis to identify these bacterial species.
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