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Airway microbial communities, smoking and asthma in a general population sample

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TLDR
This article investigated airway bacterial communities in a general population sample of 529 Australian adults and found that the healthy airway microbiota in this population were contained within a highly structured ecosystem, suggesting balanced relationships between the microbiome and human host factors.
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This article is published in EBioMedicine.The article was published on 2021-09-01 and is currently open access. It has received 14 citations till now. The article focuses on the topics: Population & Microbiome.

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A Pandemic Lesson for Global Lung Diseases: Exacerbations Are Preventable

TL;DR: In this paper , a global reduction in the incidence of common seasonal respiratory viral infections has resulted from measures to limit the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the pandemic.
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Gut–lung Microbiota Interactions in Chronic Obstructive Pulmonary Disease (COPD): Potential Mechanisms Driving Progression to COPD and Epidemiological Data

TL;DR: There is a need for further clinical studies to characterize the pulmonary microbiota and to obtain new information about the pathogenesis of lung disease to improve knowledge and treatment strategies and identify new therapeutic targets.
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The respiratory tract microbiome: moving from correlation to causation

TL;DR: Insight is provided into a previously unrecognised role for the airway commensal Rothia mucilaginosa in attenuating proinflammatory responses to P. aeruginosa, an effect demonstrated consistently across a range of experimental models.
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Respiratory dysbiosis in cats with spontaneous allergic asthma

TL;DR: A significant difference in airway microbiota composition was documented between spontaneously asthmatic pet cats and healthy research cats mirroring the finding of dysbiosis in asthitic humans.
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A clinicians’ review of the respiratory microbiome

TL;DR: This review aims to outline how the microbiome is investigated, the healthy respiratory microbiome and its role in respiratory disease, and to describe future directions for microbiome research.
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

TL;DR: This work presents DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates, which enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression.
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The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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WGCNA: an R package for weighted correlation network analysis.

TL;DR: The WGCNA R software package is a comprehensive collection of R functions for performing various aspects of weighted correlation network analysis that includes functions for network construction, module detection, gene selection, calculations of topological properties, data simulation, visualization, and interfacing with external software.
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