DNA Methylation Analysis for Leukocyte Distribution Quantification
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Solution Overview
Problem
Current methods for determining leukocyte distribution in disease conditions are limited by the need for fresh samples, expensive technology, and inability to quantify leukocyte distributions in archived samples, making them impractical for retrospective studies and rare diseases.
Innovation Solution
A method using DNA methylation signatures, specifically measuring demethylation of CpG dinucleotides in genes like CD3Z and FOXP3, to assess CD3+ T lymphocyte and FOXP3+ T regulatory cell numbers in both fresh and archival samples, allowing for quantitative estimation of leukocyte distributions without requiring fresh cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flow cytometry is used to determine leukocyte distribution, then quantitative measurement of cell distribution is improved, but the requirement for fresh samples and expensive equipment increases
Solution Approach 1:
The patent replaces the mechanical/physical system of flow cytometry (requiring fresh cells, fluorescent antibodies, and expensive flow cytometers) with a biochemical method based on DNA methylation analysis. The method uses bisulfite treatment to convert unmethylated cytosines to uracils, followed by PCR amplification and sequencing to quantify leukocyte distributions from archival DNA samples, eliminating the need for fresh samples and expensive equipment.
Solution Approach 2:
The patent creates a molecular copy or surrogate of cell distribution information by measuring DNA methylation patterns. Instead of directly measuring physical cell properties with flow cytometry, the method uses DNA methylation signatures as a surrogate that can be extracted and analyzed from archival samples, preserving the quantitative information about leukocyte distributions without requiring the original fresh cells.
2Measurement precision
If fresh samples are used for leukocyte analysis, then accurate cell distribution measurement is improved, but the applicability to retrospective studies and rare diseases deteriorates
Solution Approach 1:
The patent performs preliminary action by preserving DNA in archival samples (such as frozen tissue or blood spots) before the need for analysis arises. The DNA methylation patterns are stable over time in these archived materials, allowing retrospective analysis without requiring the original fresh samples to be available at the time of study, thus enabling both accurate measurement and retrospective application.
Solution Approach 2:
The patent introduces DNA methylation analysis as an intermediary that bridges the gap between archival samples and leukocyte distribution measurement. The methylation patterns serve as a stable intermediary marker that can be extracted from archived DNA and used to infer cell distributions, mediating between the limited archival material and the desired quantitative information.
3Adaptability or versatility
If DNA methylation analysis is used to estimate leukocyte distribution, then the ability to use archival samples is improved, but the measurement complexity increases
Solution Approach 1:
The patent segments the complex task of leukocyte distribution measurement into separate analysis of DNA methylation patterns at specific CpG sites. By focusing on a limited number of informative methylation markers rather than attempting to measure all cell properties directly, the method simplifies the overall measurement process while maintaining the ability to use archival samples.
Solution Approach 2:
The patent changes the measurement parameter from direct physical cell properties (requiring fresh cells and flow cytometry) to biochemical DNA methylation status. This parameter change allows the use of archival DNA samples while the complexity is managed through standardized bisulfite treatment and PCR protocols that have become routine in molecular biology laboratories.
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 accurate diagnosis, prognosis, and monitoring of disease conditions, including cancer, using archival samples, reducing costs and logistical challenges associated with fresh sample requirements.
Implementation Method 1
measuring a CD3Z positive T lymphocyte cell number in a sample from the subject by analyzing methylation in the sample of at least one CpG dinucleotide (CpG) in gene CD3Z
Data Source
AI summary
Methods using DNA Methylation arrays are provided for identifying a cell or mixture of cells and for quantification of alterations in distribution of cells in blood or in tissues, and for diagnosing, prognosing and treating disease conditions, particularly cancer. The methods use fresh and archival samples.