Nucleic Acid Variant Detection via Growth Curve Linearity Deviation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for detecting nucleic acid sequence variants through amplification reactions are prone to errors, especially when analyzing small sequence variations in large populations, leading to inaccurate identification and quantification of starting materials.
Innovation Solution
A method and system that amplify nucleic acid sequence variants to produce amplification products, analyze the relative deviation from linearity of growth curves using a processor, and compare these deviations to a threshold matrix to accurately identify sequence variants, employing deltaB calculations and log10 transformation for enhanced sensitivity and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to detect nucleic acid sequence variants through amplification reactions, then the detection process is simple and straightforward, but the identification and quantification are prone to errors and inaccuracies
Solution Approach 1:
The patent applies preliminary action by calculating deviation from linearity metrics during the amplification process itself, rather than after completion. The system continuously monitors growth curves and computes deviation metrics in real-time, allowing early detection of sequence variants before the amplification reaction concludes. This preliminary analysis enables more accurate identification while maintaining a manageable workflow.
Solution Approach 2:
The patent implements feedback by using the calculated deviation from linearity values to iteratively improve sequence variant identification. The system compares observed growth curve deviations against expected patterns, and this feedback loop enables the system to distinguish true sequence variants from amplification artifacts. The feedback mechanism continuously refines the identification accuracy by learning from each measurement cycle.
2Measurement precision
If conventional amplification analysis methods are used, then the process is fast and efficient, but the results are inaccurate when analyzing small sequence variations in large populations
Solution Approach 1:
The system performs preliminary calculations of deviation from linearity during the amplification process itself, rather than requiring separate post-amplification analysis steps. By computing these metrics in real-time as the amplification progresses, the system achieves accurate sequence variant identification without adding significant time to the overall workflow. The preliminary action principle allows the system to detect variants during the amplification phase rather than requiring additional validation steps.
3Reliability
If standard growth curve analysis is used, then the method is simple to implement, but it is sensitive to inhibiting components and produces inconsistent results
Solution Approach 1:
The patent introduces deviation from linearity metrics as an intermediary between the raw amplification data and the final sequence variant identification. Instead of directly interpreting raw growth curves, the system uses these intermediate deviation metrics as a buffer that filters out the effects of inhibiting components. This intermediary layer translates complex, inhibitor-sensitive raw data into more robust deviation values that are less affected by experimental variations and inhibitors.
Solution Approach 2:
The system applies parameter changes by transforming the standard growth curve parameters into deviation from linearity metrics. Instead of relying on absolute fluorescence values or standard curve fitting parameters that are sensitive to inhibitors, the system changes the parameter space to use relative deviation measurements. This parameter transformation makes the analysis more robust against inhibiting components while maintaining computational feasibility.
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
The approach provides consistent and accurate identification of sequence variants, improving robustness in the presence of inhibiting components and reducing errors, thereby enhancing the reliability of nucleic acid analysis.
Implementation Method 1
An art recognized method of analyzing nucleic acid sequences employs a polymerase chain reaction (PCR), an in vitro method for enzymatically synthesizing or amplifying defined nucleic acid sequences
Implementation Method 2
Fluorescent probes or markers are typically used in the process to facilitate detection and quantification of the amplification process
Data Source
Figure 1
Figure 2(a)
Figure 2(b)
AI summary
Systems, methods, and apparatuses are provided for detecting nucleic acid sequence variants. Other embodiments are directed to systems and computer readable media associated with methods described herein.