Spatial Biology Multiomic Imaging and Analysis Services Powered by our Patented Miralys^™ Technology

Spatial biology is a field of biological research that focuses on understanding the organization of cells and how they interact with each other at a molecular level in their natural tissue environments. Unlike traditional molecular biology techniques that analyze cells and biomolecules in bulk (losing spatial context), spatial biology preserves the spatial organization of cells, enabling researchers to study how location and interactions influence cellular function and disease progression.

Nature Methods recently highlighted Spatially Resolved Multiomics as one of its “Methods to Watch.”⁽¹⁾AmberGen is a leader in Spatially Resolved Multiomics and our MaxOmic™ lab is capable of imaging and analyzing the following Omics all on the same sample, and on a single instrument:

• Spatial Proteomics
• Spatial Transcriptomics
• Spatial Lipidomics
• Spatial Metabolomics
• Spatial Glycomics
• Spatial PharmaOmics (imaging of drug spatial drug distribution)

In addition to an unprecedented level of  Multiomics, our patented Miralys™  imaging and analysis technology  is remarkably high plex. In a typical experiment, we are capable of mapping the spatial distribution all on a single sample, of the following:

• 300 or more lipids / Metabolites (unbiased, untargeted)
• 100 or more targeted proteins
• Up to 12 targeted transcripts
• Small molecule drugs (unlabeled, untargeted)
• Antibody-based drugs (targeted, using secondary antibodies)
• Oligo-based drugs such as ASO’s (targeted)

All data layers are collected on the same sample on the same imaging instrument. This imaging has the following advantages:

• No cross-platform co-registration challenges
• Immune from autofluorescence
• No adjacent tissue sections – all on the same section

Spatially Resolved Multiomic Correlative Analysis

Our projects include analysis conducted using proprietary MaxOmic software and the results are communicated in a detailed project report.

The default analysis package includes:

• Descriptive statistics for Regions of Interest (ROIs) reported in box and whiskers plots and spreadsheets
• Pairwise colocalization analysis for all analyte pairs reported in heatmaps and spreadsheets
• Clustering analysis for all analytes (or a subset) using a k-means algorithm reported in heatmaps, cluster distribution spatial maps, stacked bar charts, and spreadsheets
• Thumbnail grid images for visualizing the spatial distribution of each analyte
• MiralysVUE™ image files containing aligned data, high-resolution images (including co-registered optical images where applicable), and spreadsheets are provided to customers as supplementary material
• Note that co-registered optical images (where applicable) will typically be provided without further analysis (cell segmentation can be done as an option)
• Custom curated data analysis may be provided at additional cost upon request after a feasibility meeting

Please Contact Us to learn more.