Single Cell Analysis via Droplet Segmentation and Molecular Barcoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods struggle to effectively analyze the complex cellular heterogeneity in multicellular masses, such as tissues and tumors, which is crucial for developing therapeutic regimens against diseases with multiple resistance genotypes.
Innovation Solution
A method involving the labeling of polynucleotide molecules from different cells with unique molecular labels, followed by sequencing and analysis to identify specific molecules associated with diseases or conditions, using solid supports like beads with oligonucleotides and molecular labels, and performing these analyses in emulsions or microwells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional bulk analysis methods are used, then the analysis process is simple, but the ability to resolve single cell variability and cellular heterogeneity is lost
Solution Approach 1:
The patent segments the cellular analysis into single-cell units by encapsulating individual cells in droplets or wells, allowing each cell to be analyzed separately. This segmentation enables the resolution of single cell variability while maintaining a manageable analytical framework through parallel processing of multiple isolated cells.
Solution Approach 2:
The patent implements nested structures where droplets containing single cells are embedded within larger microfluidic channels or arrays. This nesting allows for hierarchical organization of the analysis system, enabling complex single-cell resolution while maintaining overall system simplicity through modular design.
2Measurement precision
If multiple cells are analyzed together in bulk, then the analysis throughput is high, but the specific molecular identification in individual cells is lost
Solution Approach 1:
By dividing the sample into individual cell compartments (droplets or wells), the patent achieves specific molecular identification in each cell while maintaining throughput through parallel processing of many segmented units simultaneously.
Solution Approach 2:
The patent uses molecular barcodes and genetic labels that create unique copies or signatures for each cell's molecular content. These copied identifiers allow specific molecular identification in individual cells while enabling high-throughput analysis through bulk sequencing of the copied barcode information.
3Loss of information
If unique molecular labels are assigned to each cell, then the cellular heterogeneity can be resolved, but the complexity of labeling and data analysis increases
Solution Approach 1:
The patent uses molecular barcodes as information copies that represent each cell's identity and molecular content. These barcode copies simplify the analysis complexity by providing direct readable identifiers that can be sequenced and decoded computationally, reducing the need for complex physical tracking of each cell.
Solution Approach 2:
The patent transforms the complexity of cellular heterogeneity into manageable parameters by converting molecular information into digital barcode sequences. This parameter transformation allows complex biological variability to be represented as discrete, countable, and computationally analyzable data units.
4Measurement precision
If single cell analysis is performed, then the gene expression profiles can be precisely identified, but the sample processing time and complexity increase
Solution Approach 1:
The patent segments cells into individual processing units that can be prepared and analyzed in parallel. This segmentation enables precise single-cell gene expression profiling while reducing total processing time through simultaneous processing of multiple cells rather than sequential analysis.
Solution Approach 2:
The patent performs preliminary actions by pre-encapsulating cells in droplets or pre-plating them in arrays before analysis. This preliminary organization of cells into ready-to-analyze units eliminates time-consuming manual cell-by-cell handling during the actual analysis phase, reducing overall processing time while maintaining single-cell resolution.
Data Source
AI summary
The disclosure provides for methods, compositions, and kits for multiplex nucleic acid analysis of single cells. The methods, compositions and systems may be used for massively parallel single cell sequencing. The methods, compositions and systems may be used to analyze thousands of cells concurrently. The thousands of cells may comprise a mixed population of cells (e.g., cells of different types or subtypes, different sizes).