Abstract
Polymerase chain reaction (PCR) optimization and troubleshooting can consume considerable energy and resources because of the finicky and often unpredictable nature of the reactions. Small variations in any of the many variables in a given reaction can have a pronounced effect on the resultant amplicon profile. Reactions that are too stringent yield negligible product, and reactions that are not stringent enough yield artifactual amplicons. Variables include concentrations of Mg2+, H+, dNTPs, primers, and template, as well as cycling parameters. Regarding the latter, the value selected for the annealing temperature is most critical. Unfortunately, even with the most sophisticated algorithms (i.e., OLIGO) it is often difficult to predict the amplification optima a priori leaving no other choice but to employ empirical determination.
Keywords
- Polymerase Chain Reaction
- Lower Annealing Temperature
- Conventional Polymerase Chain Reaction
- Polymerase Chain Reaction Protocol
- Standard Polymerase Chain Reaction
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2002 Humana Press Inc.
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Roux, K.H. (2002). Single-Step PCR Optimization Using Touchdown and Stepdown PCR Programming. In: Chen, BY., Janes, H.W. (eds) PCR Cloning Protocols. Methods in Molecular Biology™, vol 192. Humana Press. https://doi.org/10.1385/1-59259-177-9:031
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DOI: https://doi.org/10.1385/1-59259-177-9:031
Publisher Name: Humana Press
Print ISBN: 978-0-89603-969-8
Online ISBN: 978-1-59259-177-0
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