Seattle–(business wire) — NanoString Technologies, Inc. (NASDAQ: NSTG), a leading provider of life science tools for discovery and translational research, has partnered with Weill Cornell Medicine to launch the Spatial Atlas of Human Anatomy (SAHA) initiative. announced to launch Create multicellular, single-cell, and subcellular maps of 30 non-diseased organs from a healthy, diverse adult population.
SAHA is a fundamental effort to map 250 million cells at two spatial scales. Map the entire transcriptome (50 µm to 2 mm in length) of histological features and 1,000 RNAs and 64 proteins at single-cell resolution (50 nm resolution at 1 cm).2). This project establishes best practices in experimental design, data analysis, and data standards for high-content spatial analysis across multiple human organs at the transcriptome and proteome level. The goal is to create a comprehensive, open-source spatial referencing standard that can be accessed by researchers worldwide to advance their knowledge of spatial biology.
“The goal is for SAHA to become the underlying database that serves as a benchmark reference for spatial precision medicine. ,” said Chris Mason, professor of physiology and biophysics at Weill Cornell Medicine. “The research team plans to demonstrate how spatial organ atlases at multiple scales can be used to uncover unique insights into organ development, health and cancer.”
Dr. Mason will present an overview of the SAHA study on Monday, February 6th.th At the Genome Biology and Technological Advances conference in Hollywood, Florida, 6:10 p.m. ET.
The GeoMx® Digital Spatial Profiler (DSP) measures transcriptome-wide expression matching precise geometries of functional and structural histological organ features. In addition, 1,000-plex RNA profiles and 64-plex protein profiles collected by the CosMx™ Spatial Molecular Imager (SMI) provide the highest-ever subcellular resolution of cell type, lineage status, metabolic capacity, and cell proximity to single cells. map becomes possible. , intracellular movements of organelles, and novel spatially resolved ligand–receptor interactions are also detailed.
NanoString’s SVP and CSO, Joseph Beechem, said: “This atlas will transform our understanding of how healthy tissues are organized and function, providing the foundation of understanding needed for both treatment and diagnosis of disease states.”
Variability is an important aspect of biological research. The samples selected to advance medical research capture variability across gender and ancestry (European, African, Latino, East Asian, South Asian). All results, including raw and processed data, will be made available to the scientific community through the SAHA Data Portal.
SAHA is a collaboration between the Department of Pathology and Laboratory Medicine at Weill Cornell Medicine, the Englander Institute for Precision Medicine, and the WorldQuant Initiative for Quantitative Prediction. It is led by Dr. Executed Chris Mason, Robert E. Schwartz, and Shauna L. Houlihan, and over the next three years he was executed in two stages. This study explores how NanoString’s spatial platform can synergize for unprecedented biological insight.
Dr. Mason is a member of the Scientific Advisory Board and a paid consultant to NanoString.
About Nanostring Technologies
NanoString Technologies, leader in Spatial biologyprovides an ecosystem of innovative discovery and translational research solutions, enabling customers to map the biological universe. Cited in over 190 peer-reviewed publications, the GeoMx® Digital Spatial Profiler is a flexible and versatile tool that combines the power of whole-tissue imaging with whole-spatial transcriptomics and proteomics gene expression and protein data from a single FFPE slide. A consistent solution. The CosMx™ Spatial Molecular Imager (SMI) is an FFPE compatible Single cell imaging A platform powered by spatial multi-omics enables researchers to map single cells in their native environment to derive deep biological insights and new discoveries from a single experiment. AtoMx™ Spatial Informatics Platform (SIP) is a cloud-based informatics solution with advanced analytics and global collaboration capabilities to enable powerful spatial biology insights anytime, anywhere. The cornerstone of our research tools is the nCounter® analysis system, cited in over 6,500 peer-reviewed publications. This system provides a safe way to easily profile the expression of hundreds of genes, proteins, miRNAs or copy number variations. sensitivity and precision.
For more information, see: www.nanostring.com.
