Spatial Multiomic Analysis for Single-Cell Tissue Profiling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current genomic and molecular technologies lack the capability to provide a high-resolution view of DNA, RNA, and proteins in individual cells and their spatial arrangement, hindering understanding of cell co-localization and disease progression, such as cancer, and limiting their integration into routine clinical practice.
Innovation Solution
A device and methods for multiomic analysis that enable in situ single-cell and tissue analysis, providing RNA transcription and protein expression analysis, capable of measuring sequence-specific information directly in cells and tissues, integrating cell morphology with marker-based assessment for improved disease detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current sequencing technologies are used, then genomic analysis can be performed, but high-resolution view of DNA, RNA, and proteins in individual cells with spatial arrangement cannot be obtained
Solution Approach 1:
The patent combines multiple omics layers (genomics, transcriptomics, proteomics, epigenomics) into a single integrated platform that performs multiomic analysis simultaneously. This merging of previously separate analyses enables high-resolution molecular viewing while managing complexity through unified processing architecture.
Solution Approach 2:
The sequencing platform is designed with universal capabilities to handle multiple types of molecular analyses (DNA sequencing, RNA sequencing, protein analysis, epigenetic modifications) through a single device system. This multi-functionality achieves high-resolution molecular views across different biomolecule types without requiring separate specialized instruments for each analysis.
2Measurement precision
If single-cell technologies are used, then cellular heterogeneity can be profiled, but spatial arrangement and cell co-localization information are lost
Solution Approach 1:
The patent adds spatial dimensionality to single-cell analysis by preserving and analyzing the physical location and spatial arrangement of cells and molecular structures. This dimensional extension enables simultaneous profiling of cellular heterogeneity and spatial relationships, preventing loss of location information while maintaining single-cell resolution.
Solution Approach 2:
The analysis platform implements nested processing where molecular profiling at single-cell resolution is combined with tissue-level spatial context. Individual cell data is nested within the broader tissue architecture, allowing concurrent analysis of cellular heterogeneity and spatial arrangement without information loss.
3Adaptability or versatility
If multiomics approach is implemented, then comprehensive biological analysis is achieved, but integration into routine clinical practice is limited
Solution Approach 1:
The multiomic analysis system is segmented into modular components that can be independently optimized and deployed. This segmentation enables comprehensive biological analysis while facilitating gradual integration into clinical practice through phased implementation and selective application of different analytical modules based on clinical needs.
Solution Approach 2:
The platform enables flexible adjustment of analysis parameters and omics layers based on specific clinical applications. This adaptability allows comprehensive biological analysis when needed while simplifying the approach for routine clinical practice by adjusting the scope and depth of multiomic analysis to match clinical requirements.
Data Source
AI summary
Disclosed herein, inter alia, are devices, compositions, kits, and methods for interrogating biological samples.