Particle-Based Spatial Profiling for Single-Cell Tissue Mapping
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Solution Overview
Problem
Current spatial profiling techniques face challenges in achieving single-cell resolution and high coverage due to large barcode spot sizes and high consumable costs, resulting in significant tissue unanalysis and limited protein profiling capabilities.
Innovation Solution
A method involving a population of particles with distinguishable subpopulations that bind to target biomolecules, allowing imaging and profiling at single-cell resolution, eliminating the need for printed barcodes and reducing the number of required barcodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If printed DNA barcodes are used with large spot sizes (55 μm), then manufacturing is simplified, but single-cell resolution is lost and tissue coverage is reduced
Solution Approach 1:
The patent replaces the mechanical printing system with a droplet-based digital microfluidics system. Instead of physically printing DNA barcodes onto the substrate, the system uses electrowetting-on-dielectric (EWOD) technology to precisely manipulate droplets containing DNA barcodes, enabling single-cell resolution while maintaining manufacturing simplicity through software-controlled droplet placement
Solution Approach 2:
The patent changes the key parameter from fixed large spot sizes (55 μm) to variable droplet sizes that can be precisely controlled at the single-cell level. The droplet size and placement are dynamically adjusted based on cell position and type, enabling high-resolution spatial profiling while simplifying the manufacturing process through digital control
2Manufacturing precision
If spots are printed in a well-spaced array to prevent barcode merging, then spatial barcode clarity is maintained, but tissue coverage is significantly reduced (up to 70% unanalysed)
Solution Approach 1:
The patent introduces dynamic droplet placement where the position, size, and content of each droplet are adaptively determined based on real-time cell detection and analysis. This allows droplets to be placed optimally close to cells without merging, maximizing tissue coverage while maintaining barcode clarity through dynamic adjustment of droplet parameters
Solution Approach 2:
The patent transitions from a two-dimensional fixed grid array to a three-dimensional droplet placement strategy where droplets can be positioned in multiple layers and depths on the substrate. This enables higher density packing of barcodes while maintaining spatial resolution, effectively increasing tissue coverage without sacrificing barcode clarity
3Manufacturing precision
If a large number of unique barcodes are printed to achieve high resolution, then spatial resolution is improved, but consumable costs and manufacturing complexity increase
Solution Approach 1:
The patent performs preliminary cell detection, classification, and positioning before droplet placement. By pre-analyzing the tissue section and identifying cell locations and types, the system can generate an optimized droplet placement map that minimizes the number of unique barcodes needed while maintaining single-cell resolution, thereby reducing manufacturing complexity
Solution Approach 2:
The patent applies different droplet placement strategies to different regions of the tissue section based on local cell density and type distribution. In regions with high cell density, more droplets are placed with smaller spacing, while in low-density regions, fewer droplets are used with larger spacing. This localized adaptation reduces the overall number of unique barcodes required while maintaining high spatial resolution where needed
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
Enables high-efficiency, high-coverage single-cell or subcellular resolution spatial multi-omics with reduced manufacturing costs and improved sensitivity, enabling true discovery and fundamental research.
Implementation Method 1
wherein the particles comprise binding molecules that bind to target biomolecules from the sample
Data Source
AI summary
There is described a method of spatially resolved cellular profiling for integrating profiling data of a cell or cell-derived material with spatial positioning of the cell or cell-derived material, the method comprising: contacting the surface of a cell or tissue sample with a population of particles, wherein the particles comprise at least 3 distinguishable subpopulations, wherein each of the at least 3 distinguishable subpopulations has a distinguishable trait that can be determined by imaging, and wherein the particles comprise binding molecules that bind to target biomolecules from the sample; imaging the sample and the population of particles; profiling the particles to generate profiling data corresponding to each particle; and providing a virtual map of the spatially resolved profiling data with respect to the sample image.