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Implementing L-DNA analogs as mirrors of PCR reactant hybridization state: theoretical and practical guidelines for
Nicholas Spurlock1, William E Gabella2, Dalton J Nelson1
1Department of Biomedical Engineering, Vanderbilt University, PMB 351631, Nashville, TN, USA. rick.haselton@vanderbilt.edu.
Analytical Methods : Advancing Methods and Applications
|April 3, 2024
Summary
This study optimizes L-DNA control for PCR by determining optimal L-DNA concentrations and ratios to accurately mimic D-DNA hybridization. The L-DNA algorithm successfully prevents delays in PCR cycle quantification (Cq) caused by sample backgrounds.
Area of Science:
- Molecular Biology
- Biochemistry
- Analytical Chemistry
Background:
- Previous PCR cycle control methods used optically labeled L-DNA enantiomers to determine thermal cycling switch points.
- These methods assume L-DNA hybridization accurately reflects D-DNA primer and target hybridization kinetics.
- Factors affecting hybridization kinetics can impact PCR accuracy and lead to delayed or failed amplification.
Purpose of the Study:
- To determine the optimal L-DNA concentration and strand ratios for accurate mirroring of D-DNA hybridization using the Van't Hoff equation.
- To evaluate the performance of an L-DNA control algorithm in compensating for hybridization errors in real-world PCR applications, such as SARS-CoV-2 detection.
- To assess the L-DNA control algorithm's ability to prevent false negatives and delays in PCR cycle quantification (Cq) under challenging sample conditions.
Main Methods:
- Applied the Van't Hoff equation to analyze simultaneous fluorescence and temperature measurements during L-DNA controlled cycling.
- Compared optical and thermal switch points as a function of varying total L-DNA concentration and strand ratios.
- Tested the L-DNA control algorithm on the SARS-CoV-2 N2 reaction using simulated 'unextracted' samples with nasopharyngeal and high salt backgrounds.
Main Results:
- Optimal L-DNA concentration equals the initial D-DNA primer concentration; excess of one L-DNA strand over the other best mimics D-DNA behavior.
- The L-DNA control algorithm prevented significant Cq delays in simulated unextracted SARS-CoV-2 samples, unlike preset cycling conditions.
- Preset cycling conditions showed significantly increased Cq values in the presence of nasopharyngeal or high salt backgrounds.
Conclusions:
- The L-DNA control algorithm effectively adapts PCR cycling conditions to compensate for hybridization errors.
- This adaptive control minimizes the impact of sample matrices and inhibitors, preventing false negatives and delayed Cq values.
- L-DNA based control offers a robust solution for improving PCR reliability, particularly in diagnostic applications without prior nucleic acid extraction.
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