Abstract
Despite the recent introduction of real-time PCR methods, competitive PCR techniques continue to play an important role in nucleic acid quantification because of the significantly lower cost of equipment and consumables. Here we describe a shifted restriction-site competitive PCR (SRS-cPCR) assay based on a modified type of competitor. The competitor fragments are designed to contain a recognition site for a restriction endonuclease that is also present in the target sequence to be quantified, but in a different position. Upon completion of the PCR, the amplicons are digested in the same tube with a single restriction enzyme, without the need to purify PCR products. The generated competitor- and target-specific restriction fragments display different sizes, and can be readily separated by electrophoresis and quantified by image analysis. Suboptimal digestion affects competitor- and target-derived amplicons to the same extent, thus eliminating the problem of incorrect quantification as a result of incomplete digestion of PCR products. We have established optimized conditions for a panel of 20 common restriction endonucleases permitting efficient digestion in PCR buffer. It is possible, therefore, to find a suitable restriction site for competitive PCR in virtually any sequence of interest. The assay presented is inexpensive, widely applicable, and permits reliable and accurate quantification of nucleic acid targets.
INTRODUCTION
Competitive PCR is a powerful tool for accurate quantification of DNA or RNA. The procedure relies on the co-amplification of the sequence of interest with a serially diluted synthetic DNA fragment of known concentration (competitor) using a single set of primers (1,2). The initial quantity of target molecules in the sample can be calculated from the ratio of competitor- and target-derived amplicons generated during PCR, provided that the target and competitor sequences are amplified with equivalent efficiency (3). The quantity of target DNA (cDNA) can be most conveniently assessed at the so-called equivalence point (EQP), at which the target- and competitor-derived amplification products display the same signal intensity, indicating identical amounts of target and competitor at the beginning of the PCR reaction. To approach the EQP as closely as possible, several PCR reactions covering a range of competitor concentrations must be set up for quantification of individual targets, thus rendering the procedure rather laborious. In principle, it is feasible to use a small number of reactions with competitor concentrations covering the range of interest, and to quantify the target outside of the EQP. For quantification beyond the EQP it is essential that the initial target/competitor ratio is not affected by the amplification process.
As equal amplification efficiency of competitor and target sequences is a necessary prerequisite for quantitative PCR assays, competitors are usually designed to resemble the target sequence as closely as possible. Many investigators have used highly homologous competitors differing only by the presence or absence of a unique restriction enzyme site. The strategies commonly used to separate and quantitate the PCR products include cutting either target or competitor with a single restriction endonuclease (4–7) or digesting both target and competitor with two different enzymes (8,9). The latter strategy may result in false quantification if the restriction enzymes do not cut with equivalent efficiency. In the former approach, in which a restriction site is present in either the competitor or the target fragment, incomplete digestion leads to false quantification because undigested products co-migrate with the fragments lacking the restriction site. In both approaches, digestion-resistant heteroduplexes are generated during PCR (4,10–12) that co-migrate upon electrophoretic separation with the non-digested homoduplex products. This may lead to a change in the ratio between target and competitor fragments, resulting in wrong or inaccurate quantification. To prevent errors in quantification by competitive PCR assays, different measures were taken to minimize or eliminate the formation of heteroduplexes. Some investigators resolved heteroduplexes by adding fresh PCR components prior to the last amplification cycle (11,13), others introduced an additional denaturation–renaturation step after PCR, resulting in a binomial distribution of homo and heteroduplexes (14). Mathematical models have been described to permit quantification outside the EQP despite the generation of heteroduplexes (12,15). However, particularly in situations in which target and competitor differ by a single nucleotide, theoretical predictions based on mathematical models may be problematic (16).
In order to avoid the pitfalls of heteroduplex formation, we have designed non-homologous competitors that display equal size and identical primer binding regions, but contain an internal nucleotide sequence, which is different from the target sequence. It was demonstrated that non-homologous competitor molecules with a size identical to the target fragment are amplified with the same efficiency and prevent the formation of heteroduplexes (11,17,18).
In this report, we present a novel modification of non-homologous competitor molecules permitting precise quantification outside the EQP, which require a single restriction endonuclease digest for distinction between target and competitor. The technique is presented using mRNA quantification of the human multidrug resistance gene MDR1 as a model.
MATERIALS AND METHODS
Generation of DNA and RNA competitors
The non-homologous competitor was designed to contain MDR1-specific primer binding sequences of ∼20 bp at the ends encompassing a bacterial sequence lacking homology to human DNA. It was generated by amplification of the bacterial cloning vector pBluescript (pBS) II KS+ with hybrid primers. The 5′ ends of these primers contained an MDR1-specific sequence, and the 3′ ends were homologous to the pBS sequence: MDRhyb 22a/pBS S 5′-AGT TTG CAG GTA CCA TAC AGT TGC CTA ATG AGT GAG CTA AC-3′, MDRhyb 24a/pBS AS 5′-CTG TAG CTG TCA ATC AAA GGA TGT TCT TTC CTG CGT TAT C-3′ (pBS sequence location 899–918 and 1137–1155, respectively, according to GenBank accession no. X52331). The plasmid sequence was selected to contain a natural recognition site for the same restriction endonuclease as the target, but the position within the competitor molecule was shifted. PCR was performed in 10 mM Tris–HCl, 50 mM KCl, 2 mM MgCl2, 200 µM of each dNTP, 0.1 µM of forward and reverse primers, 5 ng pBS template and 1.25 U AmpliTaq DNA polymerase (Applied Biosystems, Foster City, CA) in a total volume of 50 µl. The amplification profile consisted of 35 cycles of 40 s at 95°C, 30 s at 54°C and 40 s at 72°C. The cycles were preceded by an initial denaturation step at 95°C for 3 min, and followed by a final extension step at 72°C for 7 min. The competitor fragment generated by PCR was cloned into the EcoRV site within the polylinker sequence of Bluescript phagemid according to the manufacturer’s recommendations (USB, Editorial Comments Vol.19. No1. pp 4–6). Identity and orientation of the cloned insert were determined by DNA sequencing using T3/T7 primers.
For the synthesis of DNA competitors, the plasmid was cut with BamHI and HindIII (Roche, Basel, Switzerland), the insert-containing fragments were purified, and the competitor concentration measured by spectrophotometry and by comparison with a DNA Mass Ladder (Life Technologies, Paisley, UK) upon electrophoresis in an agarose gel. Aliquots of the competitor fragments were stored as a stock solution at a final concentration of 109 molecules per 5 µl at –20°C.
For the synthesis of RNA competitors, the plasmid was linearized and transcribed in vitro using the MAXIscript kit (Ambion, Austin, TX). The full length transcripts were purified from prematurely terminated transcription products by separation on polyacrylamide gels (5% acrylamide, 8 M urea), eluted overnight at 45°C in DEPC-treated water, extracted with acid-equilibrated saturated phenol–chloroform (pH 4.5) (Amresco, Solon, OH), and precipitated with 2.5 vol of 100% ethanol. The concentration of the synthesized RNA was measured by spectrophotometry and stored as a stock solution at a final concentration of 109 molecules per 5 µl at –70°C.
cDNA synthesis and PCR template preparation
When using RNA competitors, a semi-logarithmic serial dilution of MDR1 RNA competitor molecules was added covering a range of 3–4 logs, depending on the range of expression of the target transcript. Total cellular RNA (1 µg) was mixed with 1 mM of each of the dNTPs, 25 µM pd(N)6, 4 µl of nuclease-free water and incubated at 72°C for 5 min. The mixture was placed on ice for 1 min before the addition of 4 µl reaction buffer [50 mM Tris–HCl (pH 8.3), 75 mM KCl, 5 mM MgCl2], 10 mM DTT, 1 U/µl RNasin (Promega, Mannheim, Germany), and 5 U/µl Moloney murine leukemia virus reverse transcriptase (Life Technologies). The reaction was incubated at 37°C for 45 min and, finally, the enzymes were inactivated by heating at 98°C for 3 min.
When using DNA competitors, 1 µg of total RNA extracted from the cells of interest was converted to cDNA as described above. Two microliters of the reverse transcription reaction corresponding to 100 ng total RNA were added to a semi-logarithmic serial dilution of the DNA competitor stock solution.
Competitive PCR
The following primers were used for specific amplification of competitor and target: MDR 22a S 5′-AGT TTG CAG GTA CCA TAC AG-3′ (location 100–119, according to GenBank accession no. M29441) and MDR 24a AS 5′-CTG TAG CTG TCA ATC AAA GG-3′ (location 140–159, according to GenBank accession no. M29443). The PCR mixture and the amplification profile were as described in generation of DNA and RNA competitors. An example of MDR1 mRNA expression analysis by competitive PCR is shown in Figure 1A.
To assess the kinetics of amplification, target and competitor cDNA fragments were mixed at different ratios and co-amplified in the presence of 32P-end-labeled primer (106 c.p.m. per reaction) over 12–40 cycles. Aliquots of each sample were separated on a 2% agarose gel, the bands were excised and the radioactivity determined by liquid scintillation counting (Fig. 2).
Restriction endonuclease digestion
All products were designed to show small, yet clearly detectable differences in length following digestion. After the restriction digest, only products <300 bp with a difference in length between 15 and 30 bp were obtained.
The competitor- and target-derived MDR1 amplicons were digested in the PCR buffer using the restriction enzyme PvuII (Roche). To test the applicability of this approach to a broad spectrum of target sequences, we have investigated a number of restriction endonucleases for their ability to cut efficiently in PCR buffer. PCR products of different target genes including the human multidrug resistance gene MDR1, the multidrug resistance associated protein (MRP), the gene for the pi form of glutathione S-transferase (GST-pi) and the thymidylate synthase gene (TS) were tested by a panel of restriction endonucleases. We have identified 20 different enzymes providing adequate results under the conditions indicated in Table 1. Most of the restriction endonucleases revealed excellent enzymatic activity in PCR buffer. Only two of the enzymes (MaeI and MvnI; Roche) required the addition of 50% (v/v) specific enzyme buffer (supplied by the manufacturer) to the PCR reaction to permit efficient digestion of the amplicons.
Table 1. Optimum conditions for digestion of unpurified PCR fragments in PCR reaction buffer.
Enzyme |
Recognition sequence |
Units/time |
Application |
Manufacturer |
AccII | CG/CG | 10 U/1 h | 1× PCR buffer | Amersham Pharmacia Biotech (Uppsala, Sweden) |
CfoI | GCG/C | 5 U/1 h | 1× PCR buffer | Roche |
Csp6I | G/TAC | 5 U/1 h | 1× PCR buffer | MBI Fermentas (Buffalo, NY) |
HpaII | C/CGG | 5 U/1 h | 1× PCR buffer | Roche |
MaeI | C/TAG | 10 U/1 h | 0.5× PCR buffer | Roche |
0.5× Enzyme buffer | ||||
MspI | C/CGG | 5 U/1 h | 1× PCR buffer | Roche |
MvnI | CG/CG | 5 U/1 h | 0.5× PCR buffer | Roche |
0.5× Enzyme buffer | ||||
NdeII | /GATC | 10 U/2 h | 1× PCR buffer | Roche |
RsaI | GT/AC | 5 U/1 h | 1× PCR buffer | Roche |
Sau3A | /GATC | 5 U/1 h | 1× PCR buffer | Roche |
ApaI | GGGCC/C | 10 U/3 h | 1× PCR buffer | Roche |
BamHI | G/GATCC | 10 U/3 h | 1× PCR buffer | Roche |
BglII | A/GATCT | 10 U/1 h | 1× PCR buffer | Roche |
EcoRI | G/AATTC | 5 U/1 h | 1× PCR buffer | Roche |
HindIII | A/AGCTT | 5 U/1 h | 1× PCR buffer | Roche |
KpnI | GGTAC/C | 5 U/1 h | 1× PCR buffer | Roche |
PstI | CTGCA/G | 10 U/1 h | 1× PCR buffer | Roche |
PvuII | CAG/CTG | 10 U/1 h | 1× PCR buffer | Roche |
SmaI | CCC/GGG | 5 U/1 h | 1× PCR buffer | Roche |
XhoI | C/TCGAG | 10 U/1 h | 1× PCR buffer | Roche |
The panel of endonucleases displayed includes 10 enzymes with hexanucleotide and 10 with tetranucleotide recognition sequences. The conditions indicated permit complete digestion of 1 µg PCR product at the appropriate temperature (as recommended for each restriction endonuclease by the respective manufacturer).
Quantitative analysis
Twenty microliters of each PCR mixture were electrophoresed in 2% TBE agarose gels containing ethidium bromide. Gels were photographed and the EQP was determined using a Kodak Digital Science™ DC120 Zoom Digital Camera and the 1D Image Analysis Software (Kodak, Rochester, NY). To account for the fact that ethidium bromide signal intensity obtained under UV light is dependent on the size of the respective DNA fragment, it may be necessary to consider the length of the products when determining the EQP (19,20). Our system, however, did not require the application of a correction factor to compensate for the influence of size on signal intensity, because the effect on the results was negligible. As a result of the small differences in size between target and competitor, application of the correction factor, for example 1.27 for the 100 bp signal for comparison with the 127 bp band, and 1.16 for the 172 bp fragment for comparison with the 199 bp band (19,21), would only result in minor differences not exceeding the intrinsic variability of the methodology used (0.5 log).
Figure 1B shows the quantitation of MDR1 transcripts in a model test system containing a known amount of cloned target (1 × 106 per reaction), and a serial dilution of competitor molecules ranging from 104 to 3 × 107. The result of competitive analysis showed the EQP at the expected position, in the reaction containing 106 competitor molecules (Fig. 1, lane 5). In a parallel competitive PCR experiment (not shown), a control gene transcript of b2-microglobulin (β2-MG) was quantified using the identical amount of template cDNA from the same preparation. In accordance with other publications, the result of quantification was expressed as the ratio between the target and the control gene (22). For the purpose of MDR1 monitoring, the data were expressed as the number of transcripts per 106 transcript molecules of the control gene.
Amplification of β2-MG transcripts is a common approach to controlling factors such as RNA degradation and reverse transcription (RT) efficiency, permitting quantitative comparison between samples (23,24). When using constant starting amounts of RNA, highly consistent β2-MG signal intensities were observed indicating stable RNA quality and low variability of the RT step in our experimental setting. An additional indication of the low RT variability was provided by the analysis of multiple replicates of RNA samples, which revealed high reproducibility of the results.
RESULTS AND DISCUSSION
The competitive PCR approach presented is based on the use of a heterologous competitor, sharing only the primer binding sites with the target sequence. As a result of the low homology between the competing amplicons, this method has the advantage of avoiding the formation of heteroduplexes. This prevents incorrect quantification caused by co-migration of the heteroduplex product with the undigested fragments. Moreover, elimination of heteroduplex formation in competitive PCR assays permits the calculation of target copy numbers without the need to visualize the EQP, thus greatly reducing the number of PCR reactions per assay (Fig. 1C). The linear range of this competitive PCR approach is around 3 logs, for example, 1.5 logs above and below the EQP.
A key to successful and reliable competitive PCR is the identical amplification efficiency of competitor and target fragments. Under ideal conditions, the competitor/target ratio should remain constant throughout the amplification process. The kinetic analysis shown in Figure 2 revealed two identical curves within the exponential phase of PCR, indicating equivalent amplification efficiencies for both fragments co-amplified in the same reaction. The PCR kinetics was not affected by the lack of homology between the nucleotide sequences of the competing fragments. These observations were also made in a number of other quantitative PCR assays using the type of competitor described (not shown).
The use of either RNA or DNA competitors showed that both types permit measurement of changes in the relative amount of a specific target RNA with reasonable accuracy. DNA competitors are more convenient in terms of handling, and are not prone to degradation during storage. A problem associated with the use of DNA competitors is underestimation of the concentration of mRNA target molecules. The error is most likely attributable to incomplete conversion of target RNA molecules to cDNA. This problem can be largely eliminated by using RNA competitors that are reverse transcribed in the same reaction as the target RNA. In our hands, however, the differences in quantitative results depending on the use of RNA or DNA competitors were not significant for a variety of target and competitor combinations including MDR1, MRP and BCR/ABL (data not shown). These observations indicate a low variability of the RT step under well-standardized experimental conditions. If the aim of the quantitative RT–PCR assay is calculation of the absolute number of target molecules, it is advantageous to use RNA competitors. If the assay is performed for detection of relative differences in the number of RNA molecules, for example, changes in RNA expression over time assessed by serial follow-up samples, the use of DNA competitors will be adequate, provided that the RT step has a low variability.
The only requirements for construction of the competitor type described herein are two hybrid primers. They permit generation of a competitor displaying the following features: (i) identical length to the target sequence, (ii) lack of homology to the target sequence, except of the primer binding sites and (iii) a recognition site for a restriction endonuclease which is present at a different position within the target sequence. The application of restriction endonucleases for discrimination between target- and competitor-derived PCR products is greatly facilitated by the finding that many common enzymes cut efficiently in PCR buffer (Table 1). This renders the entire procedure less time- and labor-intensive and permits selection of a suitable restriction endonuclease in virtually any sequence of interest, thus enabling quantitative analysis by the shifted restriction-site competitive PCR (SRS-cPCR) assay in any experimental settings.
The approach described has the advantage of being independent from the efficiency of the restriction enzymes used. Both target and competitor are digested concurrently in the same tube by the same enzyme, but at different positions. If incomplete digestion occurs, it affects both target and competitor to the same extent, and has no impact on the target/competitor ratio. Hence, the origin of molecules within the undigested band is not relevant for quantitative analysis.
In comparison with recently introduced real-time Q-PCR approaches (25–28), competitive PCR analysis is more laborious, but permits equally sensitive detection and precise target quantification at substantially lower cost. Competitive PCR approaches may, therefore, continue to play an important role in PCR-based quantification of DNA and RNA targets as long as the cost of RQ-PCR prevents many researchers from adopting this technique. The use of competitor molecules containing a shifted restriction site contributes to increased reliability and precision of competitive PCR assays.
References
- 1.Gaiger A., Henn,T., Hörth,E., Geissler,K., Mitterbauer,G., Maier-Dobersberger,T., Greinix,H., Mannhalter,C., Haas,O.A., Lechner,K. and Lion,T. (1995) Increase of bcr-abl chimeric mRNA expression in tumor cells of patients with chronic myeloid leukemia precedes disease progression. Blood, 86, 2371–2378. [PubMed] [Google Scholar]
- 2.Lion T., Izraeli,S., Henn,T., Gaiger,A., Mor,W. and Gadner,H. (1992) Monitoring of residual disease in chronic myelogenous leukemia by quantitative polymerase chain reaction. Leukemia, 6, 495–499. [PubMed] [Google Scholar]
- 3.Vu H.L., Troubetzkoy,S., Nguyen,H.H., Russell,M.W. and Mestecky,J. (2000) A method for quantification of absolute amounts of nucleic acids by (RT)–PCR and a new mathematical model for data analysis. Nucleic Acids Res., 28, e18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Apostolakos M.J., Schuermann,W.H., Frampton,M.W., Utell,M.J. and Willey,J.C. (1993) Measurement of gene expression by multiplex competitive polymerase chain reaction. Anal. Biochem., 213, 277–284. [DOI] [PubMed] [Google Scholar]
- 5.Bolton M.C., Dudhia,J. and Bayliss,M.T. (1996) Quantification of aggrecan and link-protein mRNA in human articular cartilage of different ages by competitive reverse transcriptase–PCR. Biochem. J., 319, 489–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Paschen W. and Djuricic,B. (1995) Regional differences in the extent of RNA editing of the glutamate receptor subunits GluR2 and GluR6 in rat brain. J. Neurosci. Methods, 56, 21–29. [DOI] [PubMed] [Google Scholar]
- 7.Wu J., Sullivan,D.E. and Gerber,M.A. (1994) Quantitative polymerase chain reaction for hepatitis B virus DNA. J. Virol. Methods, 49, 331–341. [DOI] [PubMed] [Google Scholar]
- 8.Colle J.H., Falanga,P.B., Singer,M., Hevin,B. and Milon,G. (1997) Quantitation of messenger RNA by competitive RT–PCR: a simplified read out assay. J. Immunol. Methods, 210, 175–184. [DOI] [PubMed] [Google Scholar]
- 9.Fandrey J. and Bunn,H.F. (1993) In vivo and in vitro regulation of erythropoietin mRNA: measurement by competitive polymerase chain reaction. Blood, 81, 617–623. [PubMed] [Google Scholar]
- 10.Henley W.N., Schuebel,K.E. and Nielsen,D.A. (1996) Limitations imposed by heteroduplex formation on quantitative RT–PCR. Biochem. Biophys. Res. Commun., 226, 113–117. [DOI] [PubMed] [Google Scholar]
- 11.McCulloch R.K., Choong,C.S. and Hurley,D.M. (1995) An evaluation of competitor type and size for use in the determination of mRNA by competitive PCR. PCR Methods Appl., 4, 219–226. [DOI] [PubMed] [Google Scholar]
- 12.Serth J., Panitz,F., Herrmann,H. and Alves,J. (1998) Single-tube nested competitive PCR with homologous competitor for quantitation of DNA target sequences: theoretical description of heteroduplex formation, evaluation of sensitivity, precision and linear range of the method. Nucleic Acids Res., 26, 4401–4408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lu Z., Douthitt,M.P., Taffs,R.E., Ran,Y., Norwood,L.P. and Chumakov,K.M. (1993) Quantitative aspects of the mutant analysis by PCR and restriction enzyme cleavage (MAPREC). PCR Methods Appl., 3, 176–180. [DOI] [PubMed] [Google Scholar]
- 14.Borkhardt A., Repp,R., Harbott,J., Kreuder,J. and Lampert,F. (1993) Quantification of leukaemic cells based on heteroduplex formation of tal-1 gene sequences after PCR coamplification. Br. J. Haematol., 83, 39–44. [DOI] [PubMed] [Google Scholar]
- 15.Becker-Andre M. and 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Thielking V., Alves,J., Fliess,A., Maass,G. and Pingoud,A. (1990) Accuracy of the EcoRI restriction endonuclease: binding and cleavage studies with oligodeoxynucleotide substrates containing degenerate recognition sequences. Biochemistry, 29, 4682–4691. [DOI] [PubMed] [Google Scholar]
- 17.Kobayashi H., Takemura,Y., Miyachi,H., Kawabata,M., Mori,S., Kawai,Y., Furihata,K., Sekiguchi,S. and Watanabe,K. (1997) Quantitative analysis of human multidrug resistance 1 (MDR1) gene expression by nonisotopic competitive reverse transcriptase polymerase chain reaction assay. J. Clin. Lab. Anal., 11, 258–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sestini R., Orlando,C., Zentilin,L., Lami,D., Gelmini,S., Pinzani,P., Giacca,M. and Pazzagli,M. (1995) Gene amplification for c-erbB-2, c-myc, epidermal growth factor receptor, int-2, and N-myc measured by quantitative PCR with a multiple competitor template. Clin. Chem., 41, 826–832. [PubMed] [Google Scholar]
- 19.Moravcova J., Lukasova,M., Stary,J. and Haskovec,C. (1998) Simple competitive two-step RT–PCR assay to monitor minimal residual disease in CML patients after bone marrow transplantation. Leukemia, 12, 1303–1312. [DOI] [PubMed] [Google Scholar]
- 20.van Rhee F., Marks,D.I., Lin,F., Szydlo,R.M., Hochhaus,A., Treleaven,J., Delord,C., Cross,N.C. and Goldman,J.M. (1995) Quantification of residual disease in Philadelphia-positive acute lymphoblastic leukemia: comparison of blood and bone marrow. Leukemia, 9, 329–335. [PubMed] [Google Scholar]
- 21.Piatak M., Luk,K.C., Williams,B. and Lifson,J.D. (1993) Quantitative competitive polymerase chain reaction for accurate quantitation of HIV DNA and RNA species. Biotechniques, 14, 70–81. [PubMed] [Google Scholar]
- 22.Hochhaus A., Lin,F., Reiter,A., Skladny,H., Mason,P.J., van Rhee,F., Shepherd,P.C., Allan,N.C., Hehlmann,R., Goldman,J.M. and Cross,N.C. (1996) Quantification of residual disease in chronic myelogenous leukemia patients on interferon-α therapy by competitive polymerase chain reaction. Blood, 87, 1549–1555. [PubMed] [Google Scholar]
- 23.Watzinger F. and Lion,T. (1998) Multiplex PCR for quality control of template RNA/cDNA in RT–PCR assays. Leukemia, 12, 1984–1986. [DOI] [PubMed] [Google Scholar]
- 24.Lion T. (2001) Current recommendations for positive controls in RT–PCR assays. Leukemia, 15, in press. [DOI] [PubMed] [Google Scholar]
- 25.Eckert C., Landt,O., Taube,T., Seeger,K., Beyermann,B., Proba,J. and Henze,G. (2000) Potential of LightCycler technology for quantification of minimal residual disease in childhood acute lymphoblastic leukemia. Leukemia, 14, 316–323. [DOI] [PubMed] [Google Scholar]
- 26.Emig M., Saussele,S., Wittor,H., Weisser,A., Reiter,A., Willer,A., Berger,U., Hehlmann,R., Cross,N.C. and Hochhaus,A. (1999) Accurate and rapid analysis of residual disease in patients with CML using specific fluorescent hybridization probes for real time quantitative RT–PCR. Leukemia, 13, 1825–1832. [DOI] [PubMed] [Google Scholar]
- 27.Nakao M., Janssen,J.W., Flohr,T. and Bartram,C.R. (2000) Rapid and reliable quantification of minimal residual disease in acute lymphoblastic leukemia using rearranged immunoglobulin and T-cell receptor loci by LightCycler technology. Cancer Res., 60, 3281–3289. [PubMed] [Google Scholar]
- 28.Wattjes M.P., Krauter,J., Nagel,S., Heidenreich,O., Ganser,A. and Heil,G. (2000) Comparison of nested competitive RT–PCR and real-time RT–PCR for the detection and quantification of AML1/MTG8 fusion transcripts in t(8,21) positive acute myelogenous leukemia. Leukemia, 14, 329–335. [DOI] [PubMed] [Google Scholar]
- 29.Lion T. (1996) Control genes in reverse transcriptase–poymerase chain reaction assays. Leukemia, 10, 1527–1528. [PubMed] [Google Scholar]