Study
Genomic and ecologic characteristics of the airway microbial-mucosal complex
Study ID | Alternative Stable ID | Type |
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EGAS00001006689 | Other |
Study Description
Lung diseases due to infection and dysbiosis affect hundreds of millions of people world-wide. Microbial communities at the airway mucosal barrier are conserved and highly ordered, reflecting symbiosis and co-evolution with human host factors. We show here the results of the first systematic culture and whole-genome sequencing of the principal airway bacterial species. We match the gene content of bacterial isolates to human transcripts and metabolites expressed late in airway epithelial differentiation, identifying pathways that can sustain host interactions with the microbiota. Our results provide a systematic basis for decrypting interactions between commensals, pathogens, and mucosal immunity in lung diseases of global significance.
Study Datasets 1 dataset.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00010002377 |
Gene transcript data from ALI-cultured airway cells, acquired using microarrays.
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Affymetrix Genetitan | 19 |
Who archives the data?
