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The Spatial Atlas of Human Anatomy (SAHA): A Multimodal Subcellular-Resolution Reference Across Human Organs.

Jiwoon Park1,2, Roberto De Gregorio1,3, Erika Hissong1,4

  • 1Weill Cornell Medicine, New York, NY, USA.

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|July 4, 2025
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Summary
This summary is machine-generated.

The Spatial Atlas of Human Anatomy (SAHA) is a new resource mapping human tissues at subcellular resolution. This atlas reveals cellular niches and interactions, aiding disease research and precision medicine.

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Area of Science:

  • Human anatomy
  • Spatial biology
  • Genomics

Background:

  • Understanding human tissue organization is crucial for disease research.
  • Existing atlases lack multimodal, subcellular resolution data.
  • Spatial relationships between cells and tissues are key to biological function.

Purpose of the Study:

  • To create the first multimodal, subcellular-resolution reference atlas of healthy adult human tissues.
  • To map conserved and organ-specific cellular niches across multiple organ systems.
  • To provide a foundational framework for spatial diagnostics and precision medicine.

Main Methods:

  • Integration of spatial transcriptomics, proteomics, and histology across >15 million cells from >100 donors.
  • High-resolution profiling using CosMx SMI, 10x Xenium, RNAscope, GeoMx DSP, and single-nucleus RNA-seq.
  • Comparative analyses with colorectal cancer and inflammatory bowel disease datasets.

Main Results:

  • Detailed mapping of cellular niches in gastrointestinal and immune tissues.
  • Identification of spatially organized cell states and rare adaptive immune populations.
  • Detection of disease-associated spatial disruptions, including crypt dedifferentiation and immune remodeling.

Conclusions:

  • The Spatial Atlas of Human Anatomy (SAHA) provides an unprecedented resource for studying human tissue organization.
  • SAHA enables the detection of spatial disruptions linked to diseases like cancer and IBD.
  • Openly accessible data supports exploration, benchmarking, and machine learning for advancing precision medicine.