Polymer-Partitioned Tissue Analysis for Comprehensive Spatial Analyte Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for studying spatial heterogeneity in tissues fail to provide comprehensive data on analyte position and abundance within biological samples, limiting the understanding of cell morphology, differentiation, and interaction dynamics.
Innovation Solution
A method involving embedding tissue sections in a polymer solution to generate partitions, allowing for the detection and determination of analyte abundance and location through imaging and capture probe techniques, including the use of spatial barcodes and analyte capture agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If tissue sections are placed on a slide for processing, then subsequent steps can be performed on the slide, but potential future manipulations for tissue processing are limited
Solution Approach 1:
The tissue sample is divided into multiple separate sections that can be independently processed. Each section can be manipulated, stained, and analyzed separately, allowing for multiple future manipulations without being constrained by a fixed slide mounting. This segmentation enables versatile downstream applications while maintaining processing efficiency.
2Measurement precision
If only a small handful of analytes are analyzed in intact tissue, then spatial context is preserved, but comprehensive analyte data is not obtained
Solution Approach 1:
The tissue is sectioned into multipleč–„ sections that can be processed simultaneously for multiple analytes. This allows comprehensive analyte profiling while maintaining spatial context through the sectioning approach, resolving the contradiction between analytical depth and spatial resolution.
Solution Approach 2:
The tissue sectioning approach serves multiple functions: it enables simultaneous analysis of multiple analytes, preserves spatial information, and allows for various downstream manipulations. This multi-functionality resolves the contradiction by achieving comprehensive data acquisition without sacrificing spatial context.
3Quantity of substance
If single cells are analyzed for analyte data, then comprehensive analyte information is obtained, but position information in the parent biological sample is lost
Solution Approach 1:
By segmenting the tissue into sections and maintaining the spatial arrangement of cells within those sections, the method enables comprehensive single-cell analyte analysis while preserving position information. The segmented sections serve as containers that maintain spatial context throughout the analysis process.
Solution Approach 2:
The approach transitions from analyzing cells in a two-dimensional plane (on a slide) to a three-dimensional section-based system where spatial position is preserved across multiple dimensions. This dimensional change allows simultaneous access to both comprehensive analyte data and spatial information.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the efficiency and resolution of spatial analysis by increasing interactions between capture probes and analytes, providing high-resolution data on analyte interactions and spatial context within biological samples.
Implementation Method 1
embedding a plurality of sections of the biological sample into a polymer solution
Implementation Method 2
increasing interactions between capture probes and analytes
Implementation Method 3
manipulating each section in order to detect the analyte; and determining the abundance and location of the analyte
Data Source
AI summary
This disclosure relates to compositions and methods for analyzing a tissue section from a biological sample.