Spectral Flow Cytometry Panel for MDSC Identification
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Solution Overview
Problem
Current flow cytometry technologies face limitations in performing high-throughput, in-depth analysis of immune cells, particularly in identifying human myeloid-derived suppressive cells, due to challenges in distinguishing between similar fluorophores and limited sample availability.
Innovation Solution
A full spectrum flow cytometry system with multiple lasers and detectors is used to generate specific spectral fingerprints, enabling the combination of 30 or more fluorescently labeled antibodies and the development of optimized multicolor panels, which allows for precise identification of immune cell subpopulations by mathematically distinguishing between fluorophores and reducing sample complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional flow cytometry is used to analyze immune cells, then the analysis can be performed with standard equipment, but the ability to distinguish between similar fluorophores and identify rare cell subpopulations is limited
Solution Approach 1:
The patent transitions from traditional peak-channel-based detection to full-spectrum detection across multiple wavelengths, adding spectral dimensionality to the analysis. By measuring fluorescence intensity across the entire emission spectrum rather than at discrete channels, the system creates a spectral fingerprint for each fluorophore, enabling precise discrimination even when peak emissions overlap.
Solution Approach 2:
The invention changes the detection parameter from discrete channel intensities to continuous spectral profiles. By capturing the complete emission spectrum and using mathematical algorithms to analyze spectral shapes, the system transforms the detection approach to achieve superior fluorophore resolution without proportionally increasing hardware complexity.
2Adaptability or versatility
If more fluorochromes are used to increase analysis depth, then more immune cell subpopulations can be identified, but sample complexity increases and requires more sample material
Solution Approach 1:
The patent combines multiple fluorophore detection capabilities into a unified full-spectrum analysis approach. By merging spectral information from all fluorochromes into comprehensive spectral profiles and using multivariate analysis algorithms, the system achieves high multiparametric analysis with improved efficiency, reducing the total sample material needed compared to traditional sequential or parallel staining approaches.
Solution Approach 2:
The full-spectrum detection system serves multiple functions simultaneously: it detects all fluorochromes in the panel, resolves spectral overlaps, identifies rare cell populations, and provides quantitative analysis of multiple parameters from a single sample run, replacing what would traditionally require multiple separate experiments.
3Measurement precision
If conventional flow cytometry panels are used, then the assay is simpler to implement, but the identification of human myeloid-derived suppressive cells and other rare subpopulations is less accurate
Solution Approach 1:
The patent introduces mathematical algorithms and spectral unmixing algorithms as intermediaries between the raw spectral data and the final cell identification results. These computational tools process the complex full-spectrum data, resolve fluorophore contributions, and translate spectral profiles into accurate cell type classifications, managing the complexity while enhancing precision.
Solution Approach 2:
The invention replaces traditional mechanical gating approaches and manual analysis methods with automated spectral analysis algorithms. By substituting computational processing for manual interpretation, the system achieves higher accuracy in identifying rare cell subpopulations while managing complexity through software-based solutions rather than additional hardware or manual procedures.
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
This approach enables highly multiparametric analysis, improving the characterization of immune cells and overcoming limitations in sample availability by allowing for the use of more fluorochromes in a single sample, thereby enhancing the understanding of immune responses and therapeutic approaches.
Implementation Method 1
Flow cytometers utilize lasers as light sources to produce both scattered and fluorescent light signals
Implementation Method 2
Flow cytometers utilize lasers as light sources to produce both scattered and fluorescent light signals
Data Source
AI summary
In one embodiment, a method of building an optimized color flow cytometry panel for identifying human myeloid derived suppressive cells (MDSCs) is disclosed using a spectral flow cytometer with at least three excitation lasers and thirty-eight color detectors. In another embodiment, a human MDSC assay kit is disclosed and a graphical user interface generated by a server computer from a fluorochrome database and displayed by a client computer to assist in the selection of a set of fluorochromes for use in the assay to identify MDSCs. The GUI can display spectra graphs to visually show how fluorochromes may overlap and can generate similarity indexes for the paired fluorochrome interference and a complexity index for overall many to many interferences generated by a selected group or set of fluorochromes.