Skip to main content

Advertisement

Log in

Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formula

  • Review
  • Published:
Journal of Molecular Medicine Aims and scope Submit manuscript

Abstract

For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative C T (ΔΔC T ) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression’s C T Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Higuchi R, Dollinger G, Walsh PS, Griffith R (1992) Simultaneous amplification and detection of specific DNA sequences. Biotechnology (NY) 10:413–417

    Article  CAS  Google Scholar 

  2. Higuchi R, Fockler C, Dollinger G, Watson R (1993) Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnology (NY) 11:1026–1030

    Article  CAS  Google Scholar 

  3. Heid CA, Stevens J, Livak KJ, Williams PM (1996) Real time quantitative PCR. Genome Res 6:986–994

    PubMed  CAS  Google Scholar 

  4. Wittwer CT, Herrmann MG, Moss AA, Rasmussen RP (1997) Continuous fluorescence monitoring of rapid cycle DNA amplification. Biotechniques 22:130–138

    PubMed  CAS  Google Scholar 

  5. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods 25:402–408

    Article  PubMed  CAS  Google Scholar 

  6. Morrison TB, Weis JJ, Wittwer CT (1998) Quantification of low-copy transcripts by continuous SYBR Green I monitoring during amplification. Biotechniques 24:954–962

    PubMed  CAS  Google Scholar 

  7. Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29:e45

    Article  PubMed  CAS  Google Scholar 

  8. Peirson SN, Butler JN, Foster RG (2003) Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis. Nucleic Acids Res 31:e73

    Article  PubMed  CAS  Google Scholar 

  9. Ramakers C, Ruijter JM, Deprez RH, Moorman AF (2003) Assumption-free analysis of quantitative real-time polymerase chain reaction (PCR) data. Neurosci Lett 339:62–66

    Article  PubMed  CAS  Google Scholar 

  10. Wong ML, Medrano JF (2005) Real-time PCR for mRNA quantitation. Biotechniques 39:75–85

    PubMed  CAS  Google Scholar 

  11. Murphy LD, Herzog CE, Rudick JB, Fojo AT, Bates SE (1990) Use of the polymerase chain reaction in the quantitation of mdr-1 gene expression. Biochemistry 29:10351–10356

    Article  PubMed  CAS  Google Scholar 

  12. Becker-Andre M, Hahlbrock K (1989) Absolute mRNA quantification using the polymerase chain reaction (PCR). A novel approach by a PCR aided transcript titration assay (PATTY). Nucleic Acids Res 17:9437–9446

    PubMed  CAS  Google Scholar 

  13. Liu W, Saint DA (2002) Validation of a quantitative method for real time PCR kinetics. Biochem Biophys Res Commun 294:347–353

    Article  PubMed  CAS  Google Scholar 

  14. Becker-Andre M, Hahlbrock K (1989) Absolute mRNA quantification using the polymerase chain reaction (PCR). A novel approach by a PCR aided transcript titration assay (PATTY). Nucleic Acids Res 17:9437–9446

    PubMed  CAS  Google Scholar 

  15. Ding C, Cantor CR (2004) Quantitative analysis of nucleic acids—the last few years of progress. J Biochem Mol Biol 37:1–10

    PubMed  CAS  Google Scholar 

  16. Freeman WM, Walker SJ, Vrana KE (1999) Quantitative RT-PCR: pitfalls and potential. Biotechniques 26:112–125

    PubMed  CAS  Google Scholar 

  17. Wilhelm J, Pingoud A (2003) Real-time polymerase chain reaction. Chembiochem 4:1120–1128

    Article  PubMed  CAS  Google Scholar 

  18. Monod J (1949) The growth of bacterial cultures. Annu Rev Microbiol 3:371–394

    Article  CAS  Google Scholar 

  19. Pannetier C, Delassus S, Darche S, Saucier C, Kourilsky P (1993) Quantitative titration of nucleic acids by enzymatic amplification reactions run to saturation. Nucleic Acids Res 21:577–583

    PubMed  CAS  Google Scholar 

  20. Luu-The V, Paquet N, Calvo E, Cumps J (2005) Improved real-time RT-PCR method for high-throughput measurements using second derivative calculation and double correction. Biotechniques 38:287–293

    Article  PubMed  CAS  Google Scholar 

  21. Tichopad A, Dilger M, Schwarz G, Pfaffl MW (2003) Standardized determination of real-time PCR efficiency from a single reaction set-up. Nucleic Acids Res 31:e122

    Article  PubMed  CAS  Google Scholar 

  22. Suslov O, Steindler DA (2005) PCR inhibition by reverse transcriptase leads to an overestimation of amplification efficiency. Nucleic Acids Res 33:e181

    Article  PubMed  CAS  Google Scholar 

  23. Bustin SA, Nolan T (2004) Pitfalls of quantitative real-time reverse-transcription polymerase chain reaction. J Biomol Tech 15:155–166

    PubMed  Google Scholar 

  24. Livak KJ (2001) User Bulletin #2, ABI PRISM 7700 Sequence detection system. PE applied biosystems. [http://www.docs.appliedbiosystems.com/pebiodocs/04303859.pdf]

  25. Liu W, Saint DA (2002) A new quantitative method of real time reverse transcription polymerase chain reaction assay based on simulation of polymerase chain reaction kinetics. Anal Biochem 302:52–59

    Article  PubMed  CAS  Google Scholar 

  26. Tichopad A, Didier A, Pfaffl MW (2004) Inhibition of real-time RT-PCR quantification due to tissue-specific contaminants. Mol Cell Probes 18:45–50

    Article  PubMed  CAS  Google Scholar 

  27. Tichopad A, Dzidic A, Pfaffl MW (2002) Improving quantitative real-time RT-PCR reproducibility by boosting primer-linked amplification efficiency. Biotechnol Lett 24:2053–2056

    Article  CAS  Google Scholar 

  28. Bar T, Stahlberg A, Muszta A, Kubista M (2003) Kinetic Outlier Detection (KOD) in real-time PCR. Nucleic Acids Res 31:e105

    Article  PubMed  CAS  Google Scholar 

  29. Mohey R, Jorgensen LB, Moller BK, Black FT, Kjems J, Obel N (2005) Detection and quantification of proviral HIV-1 184 M/V in circulating CD4(+) T cells of patients on HAART with a viremia less than 1,000 copies/ml. J Clin Virol 34:257–267

    Article  PubMed  CAS  Google Scholar 

  30. Stahlberg A, Aman P, Ridell B, Mostad P, Kubista M (2003) Quantitative real-time PCR method for detection of B-lymphocyte monoclonality by comparison of kappa and lambda immunoglobulin light chain expression. Clin Chem 49:51–59

    Article  PubMed  CAS  Google Scholar 

  31. Ivell R (1998) A question of faith—or the philosophy of RNA controls. J Endocrinol 159:197–200

    Article  PubMed  CAS  Google Scholar 

  32. Bustin SA (2002) Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. J Mol Endocrinol 29:23–39

    Article  PubMed  CAS  Google Scholar 

  33. Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, Speleman F (2002) Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 3:Research 1–11

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Dave Hancock and Justin Cross for critically reading the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Heiko Funke-Kaiser.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schefe, J.H., Lehmann, K.E., Buschmann, I.R. et al. Quantitative real-time RT-PCR data analysis: current concepts and the novel “gene expression’s C T difference” formula. J Mol Med 84, 901–910 (2006). https://doi.org/10.1007/s00109-006-0097-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00109-006-0097-6

Keywords

Navigation