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Here, we review the basic concepts in bioinformatics and genomic data analysis and illustrate the application of these tools to further our understanding of lung diseases
Our findings suggest that the proportion of degranulated basophils can also be associated with recurrent exacerbations
To complement early allergic sensitization, monitoring NPM composition may enable early detection and intervention in high-risk children
The co-exposure responses in the Th2high BN incorporated type I interferon/Th1, alternative macrophage activation/Th2 and Th17 signatures
We employed a systems biology approach to delineate upper airway gene network patterns underlying asthma exacerbation phenotypes in children.
To introduce a disease prognosis framework enabled by a robust classification scheme derived from patient-specific transcriptomic response to stimulation.
CFTR-dependent imbalance of macrophage phenotypes and functions could contribute to the exaggerated inflammatory response seen in CF lung disease
Asthma exacerbations in children can be divided into IRF7hi versus IRF7lo phenotypes with associated differences in clinical phenotypes
Our findings provide new insight into the molecular mechanisms operative at baseline in the airway mucosa in atopic asthmatic with natural aeroallergen exposure
This study suggests that broad-spectrum protection-of-pregnancy against infection-associated inflammatory stress represents an achievable therapeutic goal