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

Springer Science and Business Media LLC - Tập 84 - Trang 901-910 - 2006
Jan H. Schefe1, Kerstin E. Lehmann2, Ivo R. Buschmann2, Thomas Unger1, Heiko Funke-Kaiser1
1Center for Cardiovascular Research (CCR)/Institute of Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, Berlin, Germany
2Center for Cardiovascular Research (CCR), Department of Cardiology, Experimental and Clinical Arteriogenesis, Charité, Universitätsmedizin Berlin, Berlin, Germany

Tóm tắt

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.

Tài liệu tham khảo

Higuchi R, Dollinger G, Walsh PS, Griffith R (1992) Simultaneous amplification and detection of specific DNA sequences. Biotechnology (NY) 10:413–417 Higuchi R, Fockler C, Dollinger G, Watson R (1993) Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnology (NY) 11:1026–1030 Heid CA, Stevens J, Livak KJ, Williams PM (1996) Real time quantitative PCR. Genome Res 6:986–994 Wittwer CT, Herrmann MG, Moss AA, Rasmussen RP (1997) Continuous fluorescence monitoring of rapid cycle DNA amplification. Biotechniques 22:130–138 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 Morrison TB, Weis JJ, Wittwer CT (1998) Quantification of low-copy transcripts by continuous SYBR Green I monitoring during amplification. Biotechniques 24:954–962 Pfaffl MW (2001) A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res 29:e45 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 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 Wong ML, Medrano JF (2005) Real-time PCR for mRNA quantitation. Biotechniques 39:75–85 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 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 Liu W, Saint DA (2002) Validation of a quantitative method for real time PCR kinetics. Biochem Biophys Res Commun 294:347–353 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 Ding C, Cantor CR (2004) Quantitative analysis of nucleic acids—the last few years of progress. J Biochem Mol Biol 37:1–10 Freeman WM, Walker SJ, Vrana KE (1999) Quantitative RT-PCR: pitfalls and potential. Biotechniques 26:112–125 Wilhelm J, Pingoud A (2003) Real-time polymerase chain reaction. Chembiochem 4:1120–1128 Monod J (1949) The growth of bacterial cultures. Annu Rev Microbiol 3:371–394 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 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 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 Suslov O, Steindler DA (2005) PCR inhibition by reverse transcriptase leads to an overestimation of amplification efficiency. Nucleic Acids Res 33:e181 Bustin SA, Nolan T (2004) Pitfalls of quantitative real-time reverse-transcription polymerase chain reaction. J Biomol Tech 15:155–166 Livak KJ (2001) User Bulletin #2, ABI PRISM 7700 Sequence detection system. PE applied biosystems. [http://www.docs.appliedbiosystems.com/pebiodocs/04303859.pdf] 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 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 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 Bar T, Stahlberg A, Muszta A, Kubista M (2003) Kinetic Outlier Detection (KOD) in real-time PCR. Nucleic Acids Res 31:e105 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 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 Ivell R (1998) A question of faith—or the philosophy of RNA controls. J Endocrinol 159:197–200 Bustin SA (2002) Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. J Mol Endocrinol 29:23–39 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