Data from: 3-D deconvolution of human skin immune architecture with Multiplex Annotated Tissue Imaging System (MANTIS)

Routine clinical assays, such as conventional immunohistochemistry, often
fail to resolve the regional heterogeneity of complex inflammatory skin
conditions. Here we introduce MANTIS (Multiplexed Annotated Tissue Imaging
System), a flexible analytic pipeline compatible with routine practice,
specifically designed for spatially-resolved immune phenotyping of the
skin in experimental or clinical samples. Based on phenotype attribution
matrices coupled to alpha-shape algorithms, MANTIS projects a
representative digital immune landscape, while enabling automated
detection of major inflammatory clusters and concomitant single-cell data
quantification of biomarkers. We observed that severe pathological lesions
from systemic lupus erythematosus, Kawasaki syndrome, or
COVID-19-associated skin manifestations share common quantitative immune
features, while displaying a non-random distribution of cells with the
formation of disease-specific dermal immune structures. Given its accuracy
and flexibility, MANTIS is designed to solve the spatial organization of
complex immune environments to better apprehend the pathophysiology of
skin manifestations.