Multiplex Preamplification for Gene Expression Bias Control
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Solution Overview
Problem
Current genomic analysis methods face challenges in efficiently amplifying and analyzing the complex human genome due to the interrelated functions of genes, limiting the development of diagnostics, medicines, and therapies.
Innovation Solution
The use of multiplex preamplification methods, including in vitro transcription (IVT) and polymerase chain reaction (PCR), which involve forming initial mixtures with analyte samples, polymerase, and multiple primer sets to amplify and detect DNA targets, along with the implementation of a gene expression analysis system that utilizes databases for data storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiplex preamplification methods are used to amplify target DNA, then the concentration of target DNA increases, but the complexity of the amplification process increases
Solution Approach 1:
The amplification process is divided into two distinct stages: preamplification using multiple primer sets to generate intermediate products, followed by a second amplification stage. This segmentation allows complex multi-target amplification to be broken down into manageable steps, increasing target DNA concentration while controlling process complexity through structured methodology
Solution Approach 2:
The method performs preliminary amplification of multiple target sequences simultaneously using multiple primer sets before the main analysis step. This preliminary action prepares sufficient target DNA material in advance, ensuring adequate concentration for subsequent detection while establishing a standardized protocol that manages the inherent complexity of the process
2Productivity
If multiple primer sets are used to amplify multiple DNA targets, then the efficiency of genomic analysis improves, but the risk of amplification bias increases
Solution Approach 1:
Different primer sets are designed with specific local optimizations for their respective target sequences, allowing each primer to bind optimally to its specific target. This local quality approach ensures efficient amplification of multiple different targets while maintaining consistency within each amplification reaction, thereby improving overall genomic analysis efficiency while controlling bias through target-specific optimization
Solution Approach 2:
The method employs standardized amplification parameters and conditions across all primer sets and reactions. By maintaining consistent temperature profiles, buffer compositions, and cycling conditions, the system achieves high productivity across multiple targets while minimizing variations that could lead to amplification bias, ensuring measurement precision is preserved
3Adaptability or versatility
If sample quantity is limited, then the scope of gene expression analysis is restricted, but increasing sample amount may not be feasible
Solution Approach 1:
The method combines multiple target amplifications into a single preamplification reaction using multiple primer sets simultaneously. This merging approach allows comprehensive gene expression analysis of multiple genes from limited sample material, expanding the scope of analysis without requiring proportionally larger sample quantities, as all targets are amplified together in one reaction mixture
Solution Approach 2:
The preamplification stage creates multiple copies of target DNA sequences through exponential amplification, generating sufficient material from limited starting samples. This copying process produces abundant target DNA copies that can be used for subsequent detection and analysis steps, enabling extensive gene expression studies without needing large initial sample amounts
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 significantly increases the concentration of target DNA, enabling more extensive analyses and overcoming limitations of sample quantity, while minimizing bias through efficient preamplification and accurate relative quantification, allowing for effective gene expression studies.
Implementation Method 1
polymerase chain reaction (PCR), which involve forming initial mixtures with analyte samples, polymerase, and multiple primer sets to amplify and detect DNA targets
Implementation Method 2
The use of multiplex preamplification methods, including in vitro transcription (IVT) and polymerase chain reaction (PCR)
Implementation Method 3
forming initial mixtures with analyte samples, polymerase, and multiple primer sets to amplify and detect DNA targets
Data Source
AI summary
A method for determining bias across two domains comprising gene expression data. The method can comprise (a) providing a first domain and a second domain; (b) obtaining information indicative of a bias within the first domain; (c) obtaining information indicative of a bias within the second domain; and (d) using the information indicative of the bias within the first domain and the information indicative of the bias within the second domain to produce an indication of bias across the two domains.