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Multi-omic meta-analysis identifies functional...
Journal article

Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease

Abstract

The interaction between airway microbiome and host in chronic obstructive pulmonary disease (COPD) is poorly understood. Here we used a multi-omic meta-analysis approach to characterize the functional signature of airway microbiome in COPD. We retrieved all public COPD sputum microbiome datasets, totaling 1640 samples from 16S rRNA gene datasets and 26 samples from metagenomic datasets from across the world. We identified microbial taxonomic …

Authors

Wang Z; Yang Y; Yan Z; Liu H; Chen B; Liang Z; Wang F; Miller BE; Tal-Singer R; Yi X

Journal

The ISME Journal: Multidisciplinary Journal of Microbial Ecology, Vol. 14, No. 11, pp. 2748–2765

Publisher

Oxford University Press (OUP)

Publication Date

November 1, 2020

DOI

10.1038/s41396-020-0727-y

ISSN

1751-7362