Laboratory validation of a clinical metagenomic next-generation sequencing assay for respiratory virus detection and discovery

Autor: Jessica Karielle Tan, Venice Servellita, Doug Stryke, Emily Kelly, Jessica Streithorst, Nanami Sumimoto, Abiodun Foresythe, Hee Jae Huh, Jenny Nguyen, Miriam Oseguera, Noah Brazer, Jack Tang, Danielle Ingebrigtsen, Becky Fung, Helen Reyes, Melissa Hillberg, Alice Chen, Hugo Guevara, Shigeo Yagi, Christina Morales, Debra A. Wadford, Peter M. Mourani, Charles R. Langelier, Mikael de Lorenzi-Tognon, Patrick Benoit, Charles Y. Chiu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-024-51470-y
Popis: Abstract Tools for rapid identification of novel and/or emerging viruses are urgently needed for clinical diagnosis of unexplained infections and pandemic preparedness. Here we developed and clinically validated a largely automated metagenomic next-generation sequencing (mNGS) assay for agnostic detection of respiratory viral pathogens from upper respiratory swab and bronchoalveolar lavage samples in
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