The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
General concepts for PCR primer design.
Open accessAbstract
PCR is a technology born of the modern molecular biology era.The enzyme used for PCR, Taq DNA polymerase, supplied with the 10x buffer, is purchased as a cloned product, and the nucleoside triphosphates are ultrapure, buffered, and available at a convenient concentration.Yet, with all of these commercially available starting materials, PCR still fails, particularly for the novice.Assuming that all of the reagents have been added in the proper concentrations, two critical PCR components are left to the researcher.The first is the nucleic acid template, which should be of sufficient quality and contain no inhibitors of Taq DNA polymerase (although when it comes to template purity, PCR is more permissive than many other molecular biology techniques).The second is the selection of the oligonucleotide primers.This process is often critical for the overall success of a PCR experiment, for without a functional primer set, there will be no PCR product.Although the selection of a single primer set may be trivial, the construction of primer sets for applications such as multiplex or nested PCR becomes more challenging.The manual selection of optimal PCR oligonucleotide primer sets can be quite tedious and thus lends itself very naturally to computer analysis.The primary factors that affect the function of the oligonucleotides--their melting temperatures as well as possible homology among primers--are welldefined and straightforward tasks that are easily encoded in computer software.Once the computer has provided a small number of candidate primer sets, the task of selection can be (and still is) performed manually.In this approach, the researcher is taking advantage of the raw speed of computer calculations, trying all possible permutations of a primer's placement, length, and relation to the other primers that meet conditions specified by the user.From the thousands of combinations tested by the computer, a software program can present just those that are suitable for the needs of the experiment.Thus, the overall "quality" (as defined by the user in program parameters) of the primers selected is almost guaranteed to be better than the handful chosen and hand-tested by the research without computer assistance.As with any tool, understanding its function will make the end product more useful.A wide range of programs have been written to perform primer selection, varying significantly in selection criteria, comprehensiveness, interactive design, and user-friendliness.(1-1~ There are also commercially available specialty primer design software programs that offer enhanced user interfaces, additional features, and updated selection criteria, (1'2) as well as primer design options that have been added to larger, more general software packages.Although most people would agree that application of analytic computer software to a well-defined problem is a smart thing to do, not all researchers are convinced that PCR primer selection is a nontrivial task, or that the selection rules that make a primer amplify efficiently are even well defined.Even though many of the rules discussed have been fine-tuned by collective empirical wisdom, most are based on firm theoretical ground, if not c o m m o n sense.The purpose of this chapter is to explain basic rules of oligonucleotide primer design.With this understanding of primer selection criteria, the information deduced by primer design software can be rationally interpreted and manipulated to fit your experimental needs.PARAMETERS USED IN BASIC PCR PRIMER DESIGN Primer design is aimed at obtaining a balance between two goals: specificity and efficiency of amplification.Specificity is defined as the frequency with which a mispriming event occurs.Primers with mediocre to poor specificity tend to produce PCR products with extra unrelated and undesirable ampli-$30 PCR Methods and Applications 3:$30-S37 9 by Cold Spring Harbor Laboratory
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Citations
Cites
DNA polymorphisms amplified by arbitrary primers are useful as genetic markers
Williams, J. G. K., Kubelik, A. R., Livak, K. J., Rafalski, J. A., & Tingey, S. V. (1990) · Nucleic Acids Research · doi:10.1093/nar/18.22.6531 · Cited by 13,067
Predicting DNA duplex stability from the base sequence
Breslauer, K. J., Frank, R., Blöcker, H., & Marky, L. A. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.11.3746 · Cited by 1,837
Improved free-energy parameters for predictions of RNA duplex stability.
Freier, S. M., Kierzek, R., Jaeger, J. A., Sugimoto, N., Caruthers, M. H., Neilson, T., & Turner, D. H. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.24.9373 · Cited by 1,470
Sheffield, V. C., Cox, D. R., Lerman, L. S., & Myers, R. M. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.1.232 · Cited by 1,269
Kwok, S., Kellogg, D. E., McKinney, N., Spasic, D., Goda, L., Levenson, C., & Sninsky, J. J. (1990) · Nucleic Acids Research · doi:10.1093/nar/18.4.999 · Cited by 1,036
DNA Amplification for Direct Detection of HIV-1 in DNA of Peripheral Blood Mononuclear Cells
Ou, C.-Y., Kwok, S., Mitchell, S. W., Mack, D. H., Sninsky, J. J., Krebs, J. W., Feorino, P., Warfield, D., & Schochetman, G. (1988) · Science · doi:10.1126/science.3336784 · Cited by 972
Prevention of pre-PCR mis-priming and primer dimerization improves low-copy-number amplifications
Chou, Q., Russell, M., Birch, D. E., Raymond, J., & Bloch, W. (1992) · Nucleic Acids Research · doi:10.1093/nar/20.7.1717 · Cited by 740
Rychlik, W., & Rhoads, R. E. (1989) · Nucleic Acids Research · doi:10.1093/nar/17.21.8543 · Cited by 673
Polymerase Chain Reaction with Single-Sided Specificity: Analysis of T Cell Receptor δ Chain
Loh, E. Y., Elliott, J. F., Cwirla, S., Lanier, L. L., & Davis, M. M. (1989) · Science · doi:10.1126/science.2463672 · Cited by 629
Optimization of the annealing temperature for DNA amplification in vitro;
Rychlik, W., Spencer, W. J., & Rhoads, R. E. (1990) · Nucleic Acids Research · doi:10.1093/nar/18.21.6409 · Cited by 569
Albert, J., & Fenyö, E. M. (1990) · Journal of Clinical Microbiology · doi:10.1128/jcm.28.7.1560-1564.1990 · Cited by 248
Greer, C. E., Lund, J. K., & Manos, M. M. (1991) · Genome Research · doi:10.1101/gr.1.1.46 · Cited by 241
Dveksler, G. S., Dieffenbach, C. W., Cardellichio, C. B., McCuaig, K., Pensiero, M. N., Jiang, G. S., Beauchemin, N., & Holmes, K. V. (1993) · Journal of Virology · doi:10.1128/jvi.67.1.1-8.1993 · Cited by 201
Self-citationA computer program for selection of oligonucleotide primers for polymerase chain reactions
Lowe, T., Sharefkin, J., Yang, S. Q., & Dieffenbach, C. W. (1990) · Nucleic Acids Research · doi:10.1093/nar/18.7.1757 · Cited by 193
Self-citationWU, D. Y., UGOZZOLI, L., PAL, B. K., QIAN, J., & WALLACE, R. B. (1991) · DNA and Cell Biology · doi:10.1089/dna.1991.10.233 · Cited by 192
Mack, D. H., & Sninsky, J. J. (1988) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.85.18.6977 · Cited by 93
K-tuple frequency in the human genome and polymerase chain reaction
Gnffais, R., André, P., & Thibon, M. (1991) · Nucleic Acids Research · doi:10.1093/nar/19.14.3887 · Cited by 80
Whetsell, A., Drew, J. B., Milman, G., Hoff, R., Dragon, E. A., Adler, K. A., Hui, J., Otto, P. A., Gupta, P., & Farzadegan, H. (1992) · Journal of Clinical Microbiology · doi:10.1128/jcm.30.4.845-853.1992 · Cited by 77
Lin, P. K. T., & Brown, D. M. (1992) · Nucleic Acids Research · doi:10.1093/nar/20.19.5149 · Cited by 52
Use of an RNA folding algorithm to choose regions for amplification by the polymerase chain reaction
Pallansch, L. A., Beswick, H. T., Talian, J. C., & Zelenka, P. S. (1990) · Analytical Biochemistry · doi:10.1016/0003-2697(90)90254-7 · Cited by 39
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Vos, P., Hogers, R., Bleeker, M., Reijans, M., Lee, T. V. D., Hornes, M., Friters, A., Pot, J., Paleman, J., Kuiper, M., et al. (1995) · Nucleic Acids Research · doi:10.1093/nar/23.21.4407 · Cited by 12,401
Multiplex PCR: Optimization and Application in Diagnostic Virology
Elnifro, E. M., Ashshi, A. M., Cooper, R. J., & Klapper, P. E. (2000) · Clinical Microbiology Reviews · doi:10.1128/cmr.13.4.559 · Cited by 961
Polymerase chain reaction: basic protocol plus troubleshooting and optimization strategies
Lorenz, T. C. (2012) · Journal of Visualized Experiments · doi:10.3791/3998 · Cited by 493
Multiplex PCR: Optimization and Application in Diagnostic Virology
Elnifro, E. M., Ashshi, A. M., Cooper, R. J., & Klapper, P. E. (2000) · Clinical Microbiology Reviews · doi:10.1128/cmr.13.4.559-570.2000 · Cited by 964
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Zimmermann, K., & Mannhalter, J. W. (1996) · BioTechniques · doi:10.2144/96212rv01 · Cited by 267
Metadata
- Authors
- Dieffenbach, C. W., Lowe, T. M., & Dveksler, G. S.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1993-12-01
- Volume
- 3
- Issue
- 3
- Pages
- S30-S37
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2018255407
- Cited by
- 484
- References
- 20
- Type
- posted content
- Language
- en
- Open access
- bronze
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