Weill Cornell Medicine and NanoString Collaborate to Create Comprehensive Spatial Atlas of Human Anatomy
NanoString Technologies has launched the Spatial Atlas of Human Anatomy (SAHA) initiative in collaboration with Weill Cornell Medicine. This ambitious project aims to create multicellular and single-cell maps of 30 healthy organs from a diverse adult population, encompassing over 250 million cells. The SAHA will develop a comprehensive database of spatial biology, offering insights into organ development and health.
Key technologies used include the GeoMx Digital Spatial Profiler and CosMx Spatial Molecular Imager, which will facilitate high-resolution analysis. The dataset will be made available publicly, promoting further research in spatial precision medicine.
- Launch of SAHA initiative will create multicellular and single-cell maps of healthy organs.
- Development of a foundational database for spatial biology to support precision medicine.
- Collaboration with Weill Cornell Medicine enhances credibility and research potential.
- Utilization of advanced technologies like GeoMx and CosMx for high-resolution spatial analysis.
- None.
First comprehensive spatial atlas of healthy human tissue from multiple organs, including multi-cell and single cell resolution using both GeoMx and CosMx
SAHA is a foundational effort to map 250 million cells at two spatial scales: whole transcriptome of histological features (50 µm to 2 mm in length) and 1,000 RNAs and 64 proteins at single cell resolution (50 nm resolution across 1 cm2). The project will establish best practices in experimental design, data analysis, and data standards for high-content spatial analysis across multiple human organs at a whole transcriptome and proteome level. The goal is to create a comprehensive open source, spatial reference standard that can be accessed by researchers around the globe to advance our knowledge of spatial biology.
“The goal is for SAHA to be a foundational database that can serve as a benchmark reference for spatial precision medicine. Comparing spatial datasets of various organs from multiple ethnicities can capture the variability in samples that researchers do not currently understand,” stated
The GeoMx® Digital Spatial Profiler (DSP) will measure the expression of whole transcriptomes matched to the exact shape of functional and structural histological organ features. In addition, the 1,000-plex RNA profiles and 64-plex protein profiles collected by the CosMx™ Spatial Molecular Imager (SMI) will enable the highest-ever subcellular resolution single-cell maps of cell types, lineage states, metabolic capacity, cellular neighborhoods, subcellular movements of organelles, while also detailing spatially resolved and novel ligand-receptor interactions.
“The SAHA data set, obtained at multiple spatial scales, analyte classes, and plex-levels, represents the largest data set of its kind ever collected,” said
Variability is an important aspect of biological research. The samples, selected to advance medical research, will capture variability across sexes and ancestries (European, African, Latin American, East Asian, and South Asian). All results will be made available to the scientific community through the SAHA data portal, including raw and processed data.
SAHA is a collaborative effort with Weill Cornell Medicine’s
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