DNA Methylation Analysis via Restriction Enzyme Digestion and Ligation
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Solution Overview
Problem
Conventional DNA methylation analysis methods are limited by high costs, low utilization of sequence information, and restricted flexibility in analyzing methylation patterns, particularly in plant genomes, due to the rarity of restriction enzyme combinations that can detect cytosine methylation in CpNpG sequences, leading to incomplete epigenomic analysis.
Innovation Solution
A method involving digestion of DNA with methylation-sensitive restriction enzymes, followed by ligation and sequencing to determine methylation states at specific recognition sites, allowing for the use of multiple enzymes in combination and eliminating the need for specific adapter design, thereby enhancing analytical resolution and flexibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bisulfite treatment is used for genome-wide methylation analysis, then methylation detection capability is improved, but sequence complexity decreases and approximately one-third of fragment information is discarded as unmappable
Solution Approach 1:
The invention extracts only the necessary information for methylation analysis by using restriction enzyme digestion to target specific recognition sites. Instead of processing entire genomes with bisulfite treatment, the method isolates and analyzes only the relevant DNA fragments containing methylation sites, thereby avoiding the loss of mappability information while maintaining methylation detection capability
Solution Approach 2:
The invention applies local quality by focusing analysis on specific local regions (restriction enzyme recognition sites) rather than treating the entire genome uniformly. By using methylation-sensitive restriction enzymes that specifically recognize and cut at methylated cytosine sites, the method achieves high-resolution methylation detection at targeted locations without the need for genome-wide bisulfite conversion that causes information loss
2Measurement precision
If combination of two restriction enzymes with same recognition sequence is used for quantitative methylation analysis, then quantitative analysis capability is improved, but assayable region is limited to recognition sites
Solution Approach 1:
The invention applies universality by using a single restriction enzyme that can recognize and cut multiple different DNA sequences containing methylated cytosines. The enzyme HpaII, for example, recognizes the sequence CCGG and can detect methylation at any cytosine position within this pattern throughout the genome, making the method universally applicable to all CpG sites that match the recognition pattern, not limited to specific predetermined regions
Solution Approach 2:
The invention changes the analytical parameter from requiring specific enzyme pairs with identical recognition sequences to using a single enzyme's cutting pattern. By analyzing the presence or absence of restriction sites and the sizes of resulting fragments, the method quantifies methylation levels across diverse genomic regions, transforming the limitation of single-enzyme specificity into an advantage for broad genomic coverage
3Measurement precision
If conventional DNA methylation analysis methods are used, then analysis capability is achieved, but assay cost is high and sequence information is not fully utilized
Solution Approach 1:
The invention segments the genome into manageable restriction enzyme fragments and analyzes methylation patterns by examining the sizes and compositions of these fragments. By digesting DNA with restriction enzymes and separating the resulting fragments through gel electrophoresis or size-based sequencing, the method efficiently analyzes methylation across the entire genome using relatively simple and cost-effective techniques compared to genome-wide bisulfite sequencing
Solution Approach 2:
The invention uses PCR amplification to copy and amplify specific DNA fragments containing restriction sites before analysis. This allows multiple copies of the same genomic region to be generated from limited starting material, enabling repeated analysis and quantification without requiring large amounts of original DNA, thereby reducing overall assay costs while maintaining analytical precision
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 improves the efficiency and resolution of DNA methylation analysis, enabling the analysis of plant genomes and reducing assay costs, while allowing for the identification of methylation patterns in specific recognition sites, which is crucial for medical applications such as cancer diagnosis and tissue origin prediction.
Implementation Method 1
digesting the DNA to be analyzed with a restriction enzyme whose recognition site includes methylated cytosine or cytosine to be methylated and is affected by methylation
Implementation Method 2
ligating a mixture of DNA fragments obtained in step (1) with a ligase
Data Source
AI summary
This invention provides technology of DNA methylation analysis including: (1) a step of digesting DNA to be analyzed with a restriction enzyme(s) containing methylated cytosine or possibly methylated cytosine in a recognition sequence(s), wherein the recognition site is affected by the methylation; (2) a step of treating the mixture of DNA fragments obtained in the step (1) with ligase to ligate them; (3) a step of determining the base sequence of each DNA constructs included in the mixture of DNA constructs obtained in the step (2); and (4) a step of comparing the base sequence information of each recognition sites and its surrounding sequences, obtained in the step (3), to a known genome sequence; determining whether said each recognition site is not cleaved with said restriction enzyme or cleaved with said restriction enzyme then regenerated by ligation with said ligase; and finally, determining each methylation states of each recognition sites.


