Spatial Transcriptome Mapping for Cell Therapy Distribution Analysis
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Solution Overview
Problem
Existing methods for evaluating cell therapy efficacy lack the resolution and accuracy necessary to provide comprehensive insights into the distribution and molecular changes of administered cells within tissues, limiting the understanding of their therapeutic potential.
Innovation Solution
A method and apparatus utilizing spatially analyzed transcriptome information to explore the distribution, efficacy, and physiological activity of genome-containing materials within tissues, employing an integrated reference transcriptome library to classify and map genome-derived and tissue-derived transcriptome information for accurate positional and therapeutic mechanism analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods like PCR are used to evaluate cell therapy efficacy, then the evaluation can be performed on dissected organs, but the resolution and accuracy for identifying microscopic characteristics and cell distribution within tissues is insufficient
Solution Approach 1:
The patent transitions from traditional bulk tissue analysis to spatially resolved transcriptome analysis, adding the spatial dimension to the evaluation. By mapping gene expression data to specific tissue locations and integrating with histological images, the method achieves microscopic resolution of cell distribution while maintaining systematic analysis capabilities.
Solution Approach 2:
The patent combines multiple data types including spatial transcriptome data, histological images, and reference transcriptome libraries into an integrated analysis system. This merging of diverse information sources enables comprehensive evaluation of cell therapy efficacy with high resolution without requiring overly complex separate procedures.
2Reliability
If fluorescently labeled cells are used to image administered cells, then cell tracking is enabled, but the tracer is readily detached from the cells, limiting cell tracking capability
Solution Approach 1:
The patent replaces the mechanical/chemical labeling approach (fluorescent tracers attached to cells) with a molecular biology-based approach (spatial transcriptome analysis). By detecting gene expression patterns specific to administered cells at their spatial locations, the method achieves reliable cell tracking without physical tracers that can detach.
Solution Approach 2:
The patent uses gene expression profiles as an intermediary to identify and track administered cells. Instead of directly labeling cells with tracers, the method detects the presence and distribution of administered cells through their unique transcriptomic signatures in spatial context, providing indirect but reliable tracking.
3Loss of information
If conventional evaluation methods are used, then the assessment of cell therapy can be performed, but comprehensive understanding of detailed molecular changes and interactions between administered cells and host cells is not provided
Solution Approach 1:
The patent segments the tissue into spatial units (e.g., regions or spots) and analyzes gene expression in each segment. This segmentation enables detection of localized molecular changes and cell-cell interactions throughout the tissue, providing comprehensive information without requiring analysis of the entire tissue as a single unit.
Solution Approach 2:
The patent creates a multi-functional evaluation system that simultaneously provides information on cell distribution, gene expression changes, cell interactions, and therapeutic efficacy. By integrating multiple analysis capabilities into a single spatial transcriptome framework, the method reduces information loss while maintaining evaluation efficiency.
Data Source
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AI summary
The present disclosure relates to a method and apparatus for exploring distribution, efficacy, action, or physiological activity of a genome-containing material in a tissue of interest.