Melting Curve Analysis Automation for Polymorphism Detection
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Solution Overview
Problem
Conventional melting curve analysis methods require specialized knowledge and are prone to variability between individuals, making it difficult to easily determine polymorphisms and are not suitable for general analysis or simultaneous analysis of multiple specimens.
Innovation Solution
An automatable method that analyzes the presence of peaks in specific temperature ranges by searching for signal differential values and determining their corresponding temperatures, allowing for automated analysis and reduced variability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual observation of melting curves is used to determine polymorphisms, then specialized knowledge can identify mutations, but the method becomes difficult to operate and requires expert judgment
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between the melting curve data and the final polymorphism determination. The system includes a computer that automatically analyzes melting curves by detecting peak positions and comparing them with reference values, eliminating the need for specialized visual observation skills while maintaining high accuracy in polymorphism detection.
Solution Approach 2:
The patent replaces the manual visual observation mechanism with an automated computer-based analysis system. The mechanical process of visually inspecting melting curves is substituted with electronic data processing that automatically identifies peak positions, calculates temperature differences, and determines polymorphisms based on predetermined criteria, making the operation simple and accessible to non-experts.
2Extent of automation
If automated analysis methods are implemented, then ease of operation improves and multiple specimens can be analyzed simultaneously, but the complexity of the analysis system increases
Solution Approach 1:
The patent designs the automated analysis system to perform multiple functions: it can analyze melting curves from different specimens simultaneously, compare peak positions with reference values, determine polymorphisms, and generate reports. This multi-functionality consolidates what would otherwise require multiple separate operations into a single unified system, achieving high automation without proportionally increasing complexity.
Solution Approach 2:
The patent simplifies the analysis by changing the approach from visual pattern recognition to quantitative parameter comparison. The system measures specific parameters (peak positions, temperature differences) and compares them against predetermined reference values, transforming a complex qualitative assessment into a simple quantitative evaluation that is easier to automate.
3Reliability
If individual visual assessment is used, then specialized knowledge ensures accurate determination, but variability between individuals increases and consistency decreases
Solution Approach 1:
The patent implements a feedback mechanism where the automated system continuously compares measured peak positions with reference values and adjusts its analysis accordingly. This feedback loop ensures that the same objective criteria are applied to all specimens, eliminating inter-observer variability while maintaining high reliability in polymorphism determination.
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 easy and automated analysis of melting curves, facilitating the analysis of multiple specimens and expanding the application of gene analysis into general diagnostics.
Implementation Method 1
The absorbance at 260 nm increases as a solution containing a double-stranded DNA is heated. This increase is caused by the fact that the hydrogen bond between both the strands in a double-stranded DNA is released by heating, and the double-stranded DNA is dissociated into single-stranded DNAs (melting of DNA).
Data Source
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AI summary
The present invention provides a melting curve analyzing method that can automatically analyze whether or not a peak is present in at least one of two temperature ranges. A signal differential value (A) having a maximum absolute value is searched for among signal differential values at respective temperatures. When a temperature (t1) indicating (A) is included in a temperature range (T1) that is either one of a predetermined temperature range TH and a predetermined temperature range TL, it is determined that (A) is a first peak. Further, a signal differential value (C) that is a first signal differential value after the absolute value changed from decreasing to increasing and a signal differential value (D) having an absolute value that is greatest next to the absolute value of (A) are searched for. When X = (A - C)/(D - C) satisfies a condition [X < predetermined threshold value] and a temperature (t2) indicating (D) is included in a temperature range (T2), it is determined that the signal differential value (D) is a second peak. When X satisfies a condition [X ≥ predetermined threshold value], Y = Y1/Y2 is calculated from an integral value (Y1) of signal differential values in the temperature range (T1) and an integral value (Y2) of signal differential values in the temperature range (T2). When Y satisfies a condition [1 ≤ Y ≤ predetermined threshold value], it is determined that (D) is the second peak.