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

人体解剖空间图谱(SAHA):一种涵盖人体器官的多模态亚细胞分辨率参考

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作者:Park Jiwoon, De Gregorio Roberto, Hissong Erika, Ozcelik Elif, Bartelo Nicholas, Dezem Felipe Segato, Zhang Luke, Marção Maycon, Chasteen Hannah, Zheng Yimin, Abila Ernesto, Kim Junbum, Proszynski Jacqueline, Agyemang Akua A, Arikatla Mohith Reddy, Wani Arjumand, Liu Yutian, Metzger Evelyn, Rogers Stefan, Divakar Prajan, Dulai Parambir S, Reeves Jason, Liang Yan, Pan Liuliu, Bhattacharjee Sayani, Patrick Michael, Young Kimberly, Heck Ashley, Korukonda Mithra, McGuire Dan, Wu Lidan, Wardhani Aster, Beechem Joseph, Church George, Lipkin Steven M, Patel Sanjay, Socciarelli Fabio, Chandwani Rohit, Monette Sebastien, Robinson Brian, Loda Massimo, Elemento Olivier, Martelotto Luciano, Plummer Jasmine, Rendeiro André F, Alonso Alicia, Schwartz Robert E, Houlihan Shauna Lee, Mason Christopher E
The Spatial Atlas of Human Anatomy (SAHA) represents the first multimodal, subcellular-resolution reference of healthy adult human tissues across multiple organ systems. Integrating spatial transcriptomics, proteomics, and histological features across over 15 million cells from more than 100 donors, SAHA maps conserved and organ-specific cellular niches in gastrointestinal and immune tissues. High-resolution profiling using CosMx SMI, 10x Xenium, RNAscope, GeoMx DSP, and single-nucleus RNA-seq reveals spatially organized cell states, rare adaptive immune populations, and tissue-specific cell-cell interactions. Comparative analyses with colorectal cancer and inflammatory bowel disease demonstrate the power of SAHA to detect disease-associated spatial disruptions, including crypt dedifferentiation, perineural invasion, and therapy-resistant immune remodeling. All data are openly accessible through a FAIR-compliant interactive portal to support exploration, benchmarking, and machine learning model training. Through SAHA, we provide a foundational framework for spatial diagnostics and next-generation precision medicine grounded in a comprehensive human tissue atlas.

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