NanoString Releases Single Cell Spatial Transcriptomics Dataset Highlighting Data Quality of CosMx Spatial Molecular Imager
New liver tissue dataset highlights high sensitivity and specificity of CosMx system, and the biological power of spatially analyzing 1000 RNA targets
CosMx SMI enables high-resolution imaging of more than 1,000 RNA and over 64 protein analytes within morphologically intact whole tissue sections. The CosMx instrument allows researchers to visualize and quantify gene and protein expression at single cell and subcellular resolutions within both fresh frozen and FFPE tissue samples. Using a multi-modality approach, including protein imaging, CosMx SMI delivers best-in-class cell segmentation. This high-plex in situ analysis also enables researchers to perform cell typing, cell state, functional, and cell-cell interaction analyses in a single experiment generating high-resolution cell atlases.
“The CosMx SMI provides researchers with the ability to profile more genes than any other single cell in situ imager. As this dataset demonstrates, the market-leading plex of CosMx yields high sensitivity and specificity. The AtoMx™ Spatial Informatics Platform (SIP) enables powerful insights into the rich datasets generated by the CosMx,” said
This spatial in situ imaging and molecular data is released in an open-source AtoMx SIP export format, which can be accessed through NanoString’s website (https://nanostring.com/products/cosmx-spatial-molecular-imager/human-liver-rna-ffpe-dataset/). This will allow analyses by the research community and facilitate open-source informatics tools development for the class-leading AtoMx SIP. The AtoMx SIP is a flexible cloud-based informatics platform that provides the secure, scalable storage and analysis that spatial biology researchers need to drive their workflow from study design to peer-reviewed publication. AtoMx SIP is compatible with both the CosMx SMI platform and the GeoMx® Digital Spatial Profiler (DSP). A cloud-based platform obviates the need for laboratories to invest in their own costly informatics infrastructure and reduces spatial biology analysis compute times from days to hours. Users have the flexibility to apply a pre-defined data analysis pipeline, to customize these pipelines using their own code, and to access open-source tools developed by the bio-informatics community.
The CosMx SMI and AtoMx SIP are the newest products in the company's industry-leading spatial analysis portfolio, joining the GeoMx DSP. The GeoMx DSP is a fully-automated spatial profiler allowing multi-cellular analysis of whole transcriptome for both human and mouse applications, and customizable for other species.
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