Cellular Sample Indexing With Barcode Concatenates for Single-Cell Tracking
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Solution Overview
Problem
Existing methods for analyzing cellular samples face challenges in distinguishing between different cell types and states due to sample complexity and heterogeneity, leading to incomplete or misleading interpretations, particularly in diseases like cancer or neurological disorders, and require sophisticated computational resources for handling large single-cell data sets.
Innovation Solution
A method involving the introduction of nucleic acid barcode elements into cells to generate unique indexing concatenates, anchored to the cells, allowing for unambiguous identification and tracking, followed by optical and sequencing analysis to derive spatial and biological insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bulk analysis techniques are used to analyze cellular samples, then the analysis process is simple and fast, but the resolution is lost and unique contributions of rare or distinct cell populations are obscured
Solution Approach 1:
The invention segments the cellular sample into individual cells by introducing unique nucleic acid barcode elements into each cell. This segmentation allows each cell to be individually identified and analyzed, resolving the contradiction by enabling single-cell resolution while maintaining a manageable analysis framework through the use of molecular barcodes rather than complex imaging or sorting systems.
Solution Approach 2:
The invention uses nucleic acid barcode elements as intermediaries to link individual cells to their identification codes. These barcode elements serve as mediators that carry unique genetic information from each cell, enabling precise cellular identification without requiring direct observation or complex handling of individual cells, thus reducing analysis complexity while improving measurement precision.
2Measurement precision
If single-cell RNA sequencing is performed to achieve high-resolution cellular analysis, then detailed cellular data is obtained, but large amounts of data are generated requiring sophisticated algorithms and significant computational resources
Solution Approach 1:
The invention extracts only the essential identification information by using compact nucleic acid barcode elements as unique cell identifiers. Instead of sequencing entire transcripts to identify cells, the method extracts and analyzes only the small barcode sequences, dramatically reducing data volume while maintaining single-cell resolution. This extraction approach keeps data manageable without sacrificing measurement precision.
Solution Approach 2:
The invention changes the parameter being measured from comprehensive transcriptomic profiles to compact barcode sequences. By shifting from analyzing thousands of genes per cell to analyzing short barcode sequences, the method maintains single-cell identification capability while reducing data volume and computational requirements by orders of magnitude.
3Reliability
If traditional indexing methods are used to track cells, then the process is simple, but secure tracking and unambiguous identification of individual cells is not achieved
Solution Approach 1:
The invention performs preliminary action by introducing unique nucleic acid barcode elements into each cell before the analysis process begins. This pre-indexing ensures that every cell is assigned a unique identification code in advance, enabling secure and unambiguous tracking throughout subsequent experimental steps without requiring complex real-time identification systems.
Solution Approach 2:
The invention uses nucleic acid barcode elements as copyable molecular identifiers that can be amplified and detected through standard molecular biology techniques. Each cell's unique barcode can be copied and detected without disturbing the cell itself, enabling reliable tracking while keeping the indexing system simple and compatible with existing laboratory workflows.
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 secure tracking and detailed analysis of individual cells, improving data accuracy and reproducibility by reducing background noise and facilitating high-resolution imaging and sequencing.
Implementation Method 1
The step of generating the concatenate may comprise ligating together a plurality of nucleic acid barcode elements
Implementation Method 2
Each anchor element is configured to bind to the cellular sample, in particular, each anchor element may be configured to bind specifically to the cellular sample
Data Source
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AI summary
A method is provided for indexing a cellular sample (100) comprising the steps: introducing a plurality of nucleic acid barcode elements (108) into at least one cell (102) of the cellular sample (100), and generating a concatenate (104, 202, 206) of at least some of the nucleic acid barcode elements (108) in the at least one cell (102). In a further aspect, a respective kit for indexing the cellular sample (100) is provided.