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Spatially_resolved_host_pathogen_interactions_across_the_cystic_fibrosis_lung. Spatially_resolved_host_pathogen_interactions_across_the_cystic_fibrosis_lung

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NIAID Data Ecosystem2026-05-02 收录
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My aim is to adapt existing spatial transcriptomic methods to capture both host and bacterial transcripts in parallel in order to identify host-pathogen interactions across the lungs of cystic fibrosis patients. AIMS 1. Spatial diversity in pathogen virulence gene expression and subclonal composition across the lung 2. Spatial transcriptomics approach using bacterial virulence panel from FFPE tissue blocks collected from CF explanted lungs 3. Overlay host spatial transcriptomics of lung tissues from cystic fibrosis to uncover host-pathogen interactions This study is for the pathogen genomic sequencing carried out on FFPE tissue and clinical isolates. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

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2024-08-23
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