Microfluidic Cartridge for Spatial Single-Cell Encoding
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Solution Overview
Problem
Current methods for preparing single-cell suspensions and libraries from solid tissues are manual, labor-intensive, and lack process integration, leading to variability in quality and scalability issues for single-cell sequencing applications.
Innovation Solution
A novel high-throughput spatial system that automates the sample preparation of cells or nuclei from tissue using a disposable cartridge with microvalves, enabling the collection and encoding of single cells or nuclei with spatial barcodes for NGS and MS analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual methods are used to prepare single-cell suspensions from solid tissues, then flexibility and adaptability are maintained, but labor intensity increases and process integration is lacking
Solution Approach 1:
The system divides the tissue processing into discrete microregion units that can be independently handled by microvalves and microfluidic channels. Each microregion represents a separatable segment of tissue that can be processed individually, enabling automated handling while maintaining modularity in the system design.
Solution Approach 2:
The processing system integrates multiple functions including tissue dissociation, single-cell suspension generation, spatial barcode encoding, and library preparation into a single unified platform. The microvalve array and microfluidic network serve multiple purposes: controlling fluid flow, isolating microregions, and enabling combinatorial encoding operations.
2Productivity
If manual processing is used, then device complexity remains low, but processing time increases and productivity decreases
Solution Approach 1:
The system enables continuous processing of multiple tissue microregions through the automated microvalve control system. Rather than manual batch processing, the microfluidic platform continuously flows reagents through defined microregion paths, maintaining continuous useful action throughout the sample preparation process.
Solution Approach 2:
The system performs preliminary spatial encoding of microregions with combinatorial barcodes during the initial processing stages. This preliminary action of encoding spatial information before downstream analysis eliminates the need for subsequent manual mapping and significantly reduces total processing time.
3Reliability
If manual methods are employed, then equipment requirements are minimal, but variability in quality increases and consistency decreases
Solution Approach 1:
The system incorporates feedback mechanisms through the microvalve array that monitors and adjusts fluid flow, pressure, and timing parameters during processing. This closed-loop control ensures consistent dissociation conditions and uniform spatial encoding across all microregions, eliminating manual variability.
Solution Approach 2:
The automated system precisely controls critical parameters including microregion size, dissociation time, reagent concentration, and flow rates. By maintaining these parameters within defined ranges through automated regulation, the system produces consistent quality output across multiple samples and processing runs.
4Productivity
If traditional processing is used, then scalability is limited, but the system remains simple and manageable
Solution Approach 1:
The system adds the dimension of spatial encoding through combinatorial barcodes that encode three-dimensional microregion coordinates. This dimensional encoding capability enables scalable processing of large tissue volumes while maintaining the ability to track and analyze individual microregion origins through computational decoding.
Solution Approach 2:
The system introduces spatial barcodes as an intermediary layer between physical tissue microregions and downstream sequencing analysis. These barcodes mediate the connection between spatial position and genetic data, enabling scalable processing while simplifying operational workflow through automated barcode assignment and tracking.
Data Source
AI summary
Provided herein is a spatial sampling system that encodes samples with spatial barcodes that identify original spatial position of a microsample within a biological specimen or from different voxels from a biological sample. The method provides cell/nuclei-level resolution of cells and nuclei within microsamples. The method can comprise tagging cells and or nuclei in each microsample or voxel with a first barcode that encodes the original spatial position of the microsample in the biological specimen or the different voxel in the biological sample; pooling tagged microsamples; dividing the pooled sample into a plurality of subsamples, such that a plurality of subsamples comprise cells and/or nuclei from different original microsamples or voxels.