Data from: Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions
Data files
Mar 05, 2019 version files 162.52 GB
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Bottom up.zip
1.26 GB
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FTICR Whole Body.zip
29.47 GB
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ICP 3D Volume.zip
13.70 MB
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ICP Iron Reporter.zip
1.79 MB
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ICP Mn Reporter.zip
1.70 MB
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MALDI 3D Volume.zip
19.91 GB
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MALDI Fe Day 4.zip
19 GB
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MALDI Fe Day 7.zip
23.27 GB
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MALDI Fe_10DPI.zip
25.62 GB
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MALDI Mn_10DPI.zip
21.51 GB
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MALDI Mn_day4.zip
7.56 GB
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MALDI Mn_day7.zip
14.24 GB
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Top Down.zip
657.49 MB
Abstract
All diseases are characterized by distinct changes in tissue molecular distribution. Molecular analysis of intact tissues traditionally requires pre-existing knowledge of, and reagents for, the targets of interest. Conversely, label-free discovery of disease-associated tissue analytes requires destructive processing for downstream identification platforms. Tissue-based analyses therefore sacrifice discovery to gain spatial distribution of known targets, or sacrifice tissue architecture for discovery of unknown targets. To overcome these obstacles, we developed a multi-modality imaging platform for discovery-based molecular histology. We apply this platform to a model of disseminated infection triggered by the important pathogen Staphylococcus aureus, leading to the discovery of infection-associated alterations in the distribution and abundance of proteins and elements in tissue. These data provide an unbiased, three-dimensional analysis of how disease impacts the molecular architecture of complex tissues, enable culture-free diagnosis of infection through imaging-based detection of bacterial and host analytes, and reveal molecular heterogeneity at the host-pathogen interface.