![]() At the core of this Atlas is a common coordinate framework (CCF) that supports spatially and semantically explicit human tissue registration and exploration. HuBMAP, in close collaboration with 17 other international consortia and projects, is systematically constructing a Human Reference Atlas (HRA) 2. Integrating and harmonizing the data derived from these samples and “mapping” them into a common three-dimensional (3D) space is a major challenge. The National Institutes of Health’s (NIH) Human Biomolecular Atlas Program (HuBMAP) aims to create a comprehensive high-resolution atlas of all cells in the healthy human body using data from multiple laboratories across the US and Europe 1. ![]() MATRICS-A provides a framework for analysis of 3D spatial cell relationships in healthy and aging organs and could be further extended to diseased organs. Distances of p53, DDB2 and Ki67 positive cells to the skin surface were consistent across all ages/sun exposure and largely localized to the lower stratum basale layer of the epidermis. We also show 10–70% more T cells (total) within 30 µm of a neighboring T helper cell in 3D vs 2D. Comparing the 3D reconstructed cellular data with the 2D data, we show significantly shorter distances between immune cells and vascular endothelial cells (56 µm in 3D vs 108 µm in 2D). We demonstrate MATRICS-A in 26 serial sections of fixed skin (stained with 18 biomarkers) from 12 donors aged between 32–72 years. Here we show a workflow for 3D reconstruction of multiplexed sequential tissue sections: MATRICS-A ( Multiplexed Im age Three-D Reconstruction and Integrated Cell Spatial - Analysis). 2D spatial cell analysis in a single tissue section may be limited by cell numbers and histology. Mapping the human body at single cell resolution in three dimensions (3D) is important for understanding cellular interactions in context of tissue and organ organization.
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