The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
Real‐Time Polymerase Chain Reaction
Abstract
Real‐time PCR is the state‐of‐the‐art technique to quantify nucleic acids for mutation detection, genotyping and chimerism analysis. Since its development in the 1990s, many different assay formats have been developed and the number of real‐time PCR machines of different design is continuously increasing. This review provides a survey of the instruments and assay formats available and discusses the pros and cons of each. The principles of quantitative real‐time PCR and melting curve analysis are explained. The quantification algorithms with internal and external standardization are derived mathematically, and potential pitfalls for the data analysis are discussed. Finally, examples of applications of this extremely versatile technique are given that demonstrate the enormous impact of real‐time PCR on life sciences and molecular medicine.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
A new mathematical model for relative quantification in real-time RT-PCR
Pfaffl, M. W. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.9.e45 · Cited by 34,610
Zwischenmolekulare Energiewanderung und Fluoreszenz
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Molecular Beacons: Probes that Fluoresce upon Hybridization
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Bustin, S. (2000) · Journal of Molecular Endocrinology · doi:10.1677/jme.0.0250169 · Cited by 3,872
Holland, P. M., Abramson, R. D., Watson, R., & Gelfand, D. H. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.16.7276 · Cited by 2,693
Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems
Bustin, S. (2002) · Journal of Molecular Endocrinology · doi:10.1677/jme.0.0290023 · Cited by 2,546
Kinetic PCR Analysis: Real-time Monitoring of DNA Amplification Reactions
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A novel method for real time quantitative RT-PCR.
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Cited by
Diffusion maps for high-dimensional single-cell analysis of differentiation data
Haghverdi, L., Buettner, F., & Theis, F. J. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv325 · Cited by 649
Carmichael, S. T., Archibeque, I., Luke, L., Nolan, T., Momiy, J., & Li, S. (2005) · Experimental Neurology · doi:10.1016/j.expneurol.2005.01.004 · Cited by 421
Lee, E.-S., Son, D.-S., Kim, S.-H., Lee, J., Jo, J., Han, J., Kim, H., Lee, H. J., Choi, H. Y., Jung, Y., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-4937 · Cited by 265
Kreysing, M., Keil, L., Lanzmich, S., & Braun, D. (2015) · Nature Chemistry · doi:10.1038/nchem.2155 · Cited by 169
Wall, T., Båth, K., Britton, R. A., Jonsson, H., Versalovic, J., & Roos, S. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.01502-06 · Cited by 131
Metadata
- Authors
- Wilhelm, J., & Pingoud, A.
- Venue
- ChemBioChem
- Publisher
- Wiley
- Published
- 2003-11-03
- Volume
- 4
- Issue
- 11
- Pages
- 1120-1128
- ISSN
- 1439-4227 (ISSN-L)
- 1439-7633
- OpenAlex
- W2163216014
- Cited by
- 396
- References
- 84
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.