Data from: Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions

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.