| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
Articles |
1
Department of Pathology, School of Medicine, 50 North Medical Dr., University of Utah, Salt Lake City, UT 84132.
2
ARUP Institute for Clinical and Experimental Pathology,
500 Chipeta Way, Salt Lake City, UT 84108.
3
Department of Pathology and Feist-Weiller Cancer Center,
Louisiana State University Health Sciences Center, 1501 Kings Hwy.,
Shreveport, LA 71130.
4
Idaho Technology, 390 Wakara Way, Salt Lake City, UT
84108.
aAddress correspondence to this author at: ARUP Laboratories, 500 Chipeta Way, Salt Lake City, UT 84108. Fax 801-584-5207; e-mail lyone{at}aruplab.com.
 |
Abstract |
|---|
 Top Abstract IntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
Methods: Increasing twofold concentrations of competitor were coamplified with DNA from cell lines with various HER2/neu copy numbers at the HER2/neu locus. Competitor DNA was distinguished from the HER2/neu sequence by a fluorescent hybridization probe and melting curve analysis on a fluorescence-monitoring thermal cycler. The percentages of competitor to target peak areas on derivative fluorescence vs temperature curves were used to calculate copy number.
Results: Real-time monitoring of the PCR reaction showed comparable relative areas throughout the log phase and during the PCR plateau, indicating that only end-point detection is necessary. The dynamic range was over two logs (2000–250 000 competitor copies) with CVs <20%. Three cell lines (MRC-5, T-47D, and SK-BR-3) were determined to have gene doses of 1, 3, and 11, respectively. Gene amplification was detected in 3 of 13 tumor samples and was correlated with conventional real-time PCR and FISH analysis.
Conclusion: Use of relative peak areas allows gene copy numbers to be quantified against an internal competitive control in <1 h.
|
Introduction |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
Because of its prognostic significance and potential in therapeutic
decisions, HER2/neu gene quantification is becoming
increasingly important. Currently, HER2/neu amplification is
most commonly detected by protein expression (immunohistochemical
detection). Molecular methods for HER2/neu have also been
developed. The Food and Drug Administration has recently approved a
fluorescence in situ hybridization (FISH) technique
(10)(11). Several PCR techniques use a
competitor as an internal control. The competitor is designed to be
nearly identical to the target sequence, while still being
distinguishable from the target. Reported competitors differ from the
target sequence by 
20 bp (12)(13)(14) or by restriction site
sequence alterations (15)(16)(17). The target and competitor are
amplified together using the same PCR primer sets, then distinguished
and visualized by gel electrophoresis. Differing band intensities
corresponding to the amount of competitor are used to determine the
copy number of the sample.
Fluorescent hybridization probes can be used to detect a single base change, discriminating between alleles by probe melting temperature (Tm) using rapid-cycle PCR (18)(19). When the sample is heated slowly, the probe melts at a characteristic temperature. As the probe melts from the PCR product, a decrease in the resonance energy transfer is seen. A single base alteration within the region complementary to the probe decreases the probe’s stability and lowers its Tm. Derivative melting curve plots can easily distinguish different alleles by differences in Tm (20)(21)(22)(23). Peak areas can also be used to quantify gene dose (24)(25).
Fluorescent probes are also used to monitor product accumulation during PCR for real-time quantification. As product accumulates, fluorescence increases and the cycle at which the product is detected above background can be used for quantification (19)(26). Real-time quantitative PCR usually uses external standards with or without reference genes. However, several assumptions are made with these methods. External standards assume equal efficiencies between the samples and the standards (27). Methods that use a reference gene also usually assume equal efficiency between the target and the reference. These techniques require that all relevant PCR efficiencies are constant up to the fluorescent threshold for accurate quantification. In contrast, competitive PCR does not make these assumptions.
We have used melting curve analyses and peak area determinations to develop competitive PCR for HER2/neu quantification in the LightCycler®. To eliminate PCR efficiency differences, the competitor was designed to be as similar to the wild-type sequence as possible with a single base alteration. The competitor was amplified by the same primers as the target and was distinguished from the target by melting curve analysis. The peak areas of target to known copy numbers of competitor DNA allowed quantification of the target without any assumption about PCR efficiency of different targets and samples.
|
Materials and Methods |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
11 copies)
(12)(28), and T-47D (ATCC no. HTB-133), a ductal
carcinoma cell line with an increased, but lower HER2/neu
copy number (4 copies) (12)(29). The
single-copy control was DNA from MRC-5 (ATCC no. CCL-171), a fetal lung
cell line with a normal copy number of HER2/neu. DNA was
prepared from cell lines using phenol-chloroform extraction and ethanol
precipitation (30). DNA samples from fresh and frozen
tissues were obtained under a research protocol from Penrose Hospital
(Colorado Springs, CO) and Louisiana State University Medical Center
(Shreveport, LA). The DNA concentration was 50 mg/L (as determined by
spectroscopy) in 10 mmol/L Tris (pH 8.0) containing 0.1 mmol/L EDTA.
All samples were boiled for 10 min to denature the DNA before the
template was added to the reaction. HER2/neu FISH
testing was performed by Penrose Hospital or Louisiana State University
(31).
primers and probes
Primer synthesis and labeling were performed as described
previously (19)(20)(32). The
HER2/neu assay used a fluorescently labeled primer and a
probe that hybridized to the region of the amplicon with the competitor
base alteration (Fig. 1
). The forward primer for HER2/neu was
5'-CCTCTGACGTCCATCGTCTC-3'. For fluorescent detection, this sequence
was labeled 4 bp from the 3' end with Cy5 (Amersham). The reverse
primer sequence was 5'-CGGATCTTCTGCTGCCGTCG-3' (12). The
probe for HER2/neu was 5'-ACCAGCAGAATGCCAACCACCGC-3', with
the 3' end conjugated to fluorescein (Biogenix).
|
For conventional real-time PCR, portions of the ß-globin (33) and HER2/neu genes were amplified and detected by two adjacent hybridization probe sets. The probe sequences for ß-globin were 5'-CAAACAGACACCATGGTGCACCTGACTCCTGAGGA-3', with the 3' end labeled with fluorescein, and 5'-TCTGCCGTTACTGCCCTGTGGGGCA-3', with the 5' end labeled with LCRed 705 (Roche Biochemicals) and the 3' end blocked with a phosphate group. The probes for HER2/neu were 5'-CTTGATGAGGATCCCAAAGACCACCCCCAAGACCAC-3', with a 3' fluorescein label, and 5'-ACCAGCAGAATGCCAACCA-3', with a 5' LCRed 640 label and a 3' phosphate.
competitor preparation
The competitor was constructed by introducing the desired base
alteration into a 44-bp oligonucleotide primer; its sequence was
5'-CCTCTGACGTCCATCGTCTCTGCGGTGGTTAGCATTCTGCTGGT-3'. This primer was
used to amplify genomic DNA to incorporate this alteration. The PCR
product for the competitor template was amplified by rapid-cycle PCR
(18). PCR was performed with 0.5 µM each primer, 200 µM
each dNTP, 3.0 mM MgCl2, 50 mM Tris (pH 8.3), 500
mg/L bovine serum albumin, 0.4 U of Taq polymerase (Boehringer
Mannheim), and 250 ng of DNA per 50-µL total reaction volume in a
thin-walled microcentrifuge tube. PCR conditions were 94 °C for
30 s, 50 °C for 30 s, and 75 °C for 30 s for 30
cycles on a rapid air thermocycler (Rapid
CyclerTM; Idaho Technology, Salt Lake City, UT).
The transition rate between 50 °C and 72 °C was 1.0 °C/s. The
PCR product was visualized as a single band by agarose gel
electrophoresis, purified by phenol-chloroform extraction, and
precipitated with ethanol (30). Primers were removed from
PCR products by microconcentrators (MicroCon 50; Millipore)
and 5 min of centrifugation at 10 000g. Competitor
concentrations were determined by spectroscopy. PCR product (40 ng) was
sequenced in each direction by dye-terminator chemistry using an ABI
377 sequencer (Applied Biosystems) to confirm the base alteration in
the competitor.
pcr amplification
Serial twofold dilutions of the competitor from 500 000 to 500
copies were coamplified with 50 ng of genomic HER2/neu from
cell lines. DNA from breast tumor tissue was amplified with 15 000
copies of competitor. PCR reagents were as described above except that
0.25 µM Cy5-labeled forward primer, 0.1 µM reverse primer, and 0.1
mM fluorescein-labeled probe were used for HER2/neu. For
ß-globin, the forward primer concentration was 0.2 µM, with a
reverse primer concentration of 0.5 µM. The fluorescein-labeled
probes for real-time PCR were used at a concentration of 0.1 µM, and
the LCRed 640 or 705 was used at 0.5 µM. Klentaq polymerase (4 U/10
µL; AB Peptides) and TaqStart antibody (0.16–0.32 µg/10 µL;
Clontech) were used for amplification. PCR conditions were 94 °C for
0 s, 53 °C for 10 s, and 72 °C for 0 s for 40
cycles. The programmed transition rates were 20 °C/s from
denaturation to annealing, 1 °C/s from annealing to extension, and
20 °C/s from extension to denaturation. Rapid cycling technology
allows "0 s" temperature spikes at denaturation (94 °C) and
annealing (53 °C) as described previously (18).
Fluorescence was detected once per cycle at the end of the annealing
stage.
After 30–40 cycles of amplification, the samples were denatured at 94 °C for 3 s, cooled to 65 °C, and held for 10 s, followed by 55 °C for 10 s and 45 °C for 3 min with transition rates of 20 °C/s. Samples were heated from 45 °C to 85 °C at 0.2 °C/s. Fluorescence was monitored each 0.2 °C. Fluorescence vs temperature plots were converted into derivative fluorescent curves with respect to temperature (-dF/dT) for easy visualization of "melting peaks" and the Tm of the competitor and wild-type PCR products. The derivative curve was fit to the sum of two gaussian curves by nonlinear least-squares regression analysis, and the area of each gaussian curve was used as the area of each component (LightCycler Data Analysis software, Ver. 2.1.36).
Results from the internal competitor system were compared with conventional real-time PCR results using external standards. A portion of a single-copy gene (ß-globin) was coamplified with HER2/neu in the same tube and analyzed by real-time PCR (19)(26). Monitoring of the reaction at each cycle detected the accumulation of PCR product as seen by fluorescent increase above background. Twofold serial dilutions of calibrators (prepared as described for competitor templates) ranging from 106 to 103 copies were used as a calibration curve (19).
analysis
Assay variation was established by coamplifying the MRC-5 cell
line with nine different competitor concentrations ranging from
250 000 to 500 copies (10 replicates each). The areas of the
competitor and target peaks were determined at each competitor
concentration, and a percentage of the competitor area to target area
(AC/AT)
was calculated. The log of the peak area percentages
[log(AC/AT)]
for each competitor concentration was plotted against the log of the
competitor copy number (log[C]). A third-order polynomial
(y = ax3 +
bx2 + cx + d)
was used to fit the competitor concentrations analyzed. When the MRC-5
cell line was analyzed with equal copy numbers of the competitor and
target, the
log(AC/AT)
was 0.53. The copy numbers of unknown samples were determined by
setting y = 0.53 (copy number equivalence) and solving
for x. A two-point linear interpolation of the copy number
was also obtained by choosing the nearest data point on each side of
the equivalence line. Finally, a single-point estimate of the copy
number was obtained by vertical translation of the third-order
polynomial. Given the data point y =
log(AC/AT)
and x = log[C], and the best fit values
for a, b, and c of the nearest
calibration curve, the vertical offset of the translated curve
(d') was calculated and 0.53 =
ax3 +
bx2 + cx + d'
solved for x.
The HER2/neu copies for each tumor and cell line were compared with HER2/neu copies of the MRC cell line (single-copy control) to obtain the degree of amplification or gene dose. The gene dose was then compared with reported values for the cell lines (12)(28)(29). A gene dose >2.5 was considered amplified for HER2/neu. Gene doses of tumor samples were compared with conventional kinetic PCR with external standards and FISH.
|
Results |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
). The wild-type Tm was
70 °C, whereas the competitor Tm
was 62 °C, a difference of 8 °C. As the amount of added
competitor increased, the relative area of the competitor peak to the
target peak
(AC/AT)
also increased.
|
To determine whether melting curve analysis is best done during the
exponential or plateau phases of PCR, melting curves were acquired each
cycle after the fluorescence significantly exceeded baseline (cycle 33)
and until the reaction reached the plateau phase (cycle 36). The
results are shown in Fig. 3
. At 15 000 competitor copies, the competitor peak area from
cycle 33 to cycle 36 was 74.1% ± 2.3% of the total area. The
expected percentage with equal target and competitor copies would be
50%. This discrepancy indicated that equal concentrations of target
and competitor do not necessarily produce equal peak areas. However,
the relative areas remained constant during amplification, although
total peak areas increased with increasing cycles (as expected).
Because competitive melting curve analysis did not strongly depend on
the acquisition cycle, all subsequent experiments were performed in the
plateau phase when the fluorescence signal was maximal. Real-time
analysis of the PCR was not necessary.
|
Assay variation and dynamic range were established for replicates in
different analytical runs using the MRC cell line and various
competitor concentrations. The
log(AC/AT)
mean and standard deviation at each competitor concentration are shown
in Fig. 4A
. A third-order polynomial, a second-order polynomial, and a
line were fit to the average
log(AC/AT)
values of each competitor concentration. The best fit was a third-order
polynomial (R2 = 0.9978) with a
dynamic range of over two logs with CVs <20% (Fig. 4B
). Higher order
polynomials only slightly improved the fit
(R2 = 0.9982 for a fifth-order
polynomial). The linear portion of the curve covered more than one log.
The best estimate of the relative peak areas observed with equal copy
numbers of target and competitor was
AC/AT
= 3.4 or
log(AC/AT)
= 0.53.
|
Using the established equivalence of peak areas,
[log(AC/AT)]
= 0.53, we determined the HER2/neu copy numbers of three
cell lines by fitting to third-order polynomials (Fig. 5
and Table 1
). Gene doses relative to the MRC-5 cell line are also shown. In
addition to a third-order polynomial fit, two other analytical methods
were used to estimate HER2/neu copy numbers. One method used
two competitor concentrations per sample, with points above and below
the equivalence line. The other method used a single competitor
concentration of 15 000 copies. This concentration was chosen so that
AC >
AT for MRC-5 cells. For
HER2/neu-amplified samples, the relative area of the
competitor peak decreased, allowing relative HER2/neu
quantification in the range of clinically relevant samples. The copy
number was calculated using a vertical displacement of the known
third-order polynomial curve closest to the single point. The results
of all three methods are shown in Table 1
. Although there was a
decrease in the apparent gene dose with the single-point estimate,
amplification was still apparent in the abnormal (T-47D and SK-BR-3)
cell lines.
|
|
To test the potential clinical utility of the method, DNA samples from
20 frozen breast tumors, 2 cultures of healthy breast cells, and 8
white blood cell samples were amplified using a single competitor
concentration. For the 10 nonpathological samples tested with a
single-point estimate, the mean gene dose and SD was 0.85 ± 0.10. The
tumor samples appeared to segregate into two populations, with a gene
dose of 2.5 discriminating between them (Fig. 6
). One hundred percent correlation between real-time and
competitive PCR methods was seen when tumors were scored as amplified
or nonamplified with a gene dose cutoff of 2.5. Eighteen of the 20
samples also correlated with FISH results. Of the two discrepancies,
one was a tetraploid tumor scored negative by FISH using a chromosome
17 centromeric reference probe. The other was scored amplified by FISH,
but not amplified with both molecular methods.
|
|
Discussion |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
4 h) and washings, a fluorescent microscope, and significant
technical time to count amplification in individual cells.
Quantitative PCR techniques have several advantages over FISH for
assessing HER2/neu amplification. The speed and ease of
PCR-based testing makes it more conducive to screening multiple samples
at the same time. Furthermore, fluorescent PCR monitoring offers
advantages over existing PCR methods for quantification. PCR
amplification and quantification are performed in the same reaction
tube to eliminate manual manipulation of the PCR product after
amplification. This reduces the chance of PCR product contamination and
simplifies sample tracking. It also eliminates the use of gels and
mutagenic DNA dyes such as ethidium bromide for visualization.
Rapid-cycle PCR also reduces amplification time and increases
specificity over traditional PCR (18). A 40-cycle PCR and
subsequent melting curve analysis can be completed in 45 min. The
use of sequence-specific probes ensures that nonspecific PCR products
will not interfere with the analysis.
Fluorescent real-time HER2/neu detection has previously been described using an exonuclease system (26). In this method, the cycle in which target amplicon is detected above background is compared with a series of external standards. When external standards are used, real-time detection of product as it accumulates is more accurate than end-point analysis. Although this procedure has advantages over conventional methods, external standards do not control for standard-to-sample or sample-to-sample variation in PCR efficiency.
The use of internal competitors for quantitative PCR has several advantages over other quantification methods. Internal competitors control for amplification efficiency differences between samples and allow end-point analysis because the percentage of competitor relative to the target area is independent of cycle number (13). The use of a reference gene in quantification, amplified in either the same or a different reaction tube, also assumes equal amplification efficiencies between reference and target PCRs. Additionally, the use of a reference gene becomes problematic with tumor samples because many tumors have unstable chromosomes. Duplications or deletions of a chromosome or chromosome region containing the reference gene will distort the true HER2/neu gene dose.
HER2/neu amplification has been linked with DNA aneuploidy (34)(35), and therefore low gene amplification may be attributable to aneuploidy (duplication) of chromosome 17 rather than gene amplification on the same chromosome. In FISH analysis, the use of a reference gene near the centromere of chromosome 17 can differentiate between gene amplification and polysomy of chromosome 17 (10)(31). However, reports differ on the significance of chromosome 17 polysomy and the resulting HER2/neu overexpression (10)(31)(34).
Equal copy numbers of competitor and template did not produce equal peak areas on derivative melting curve plots. One explanation may be variations in the amounts of genomic DNA and/or competitor DNA in the reaction. The use of fluorescent DNA dyes such as Picogreen (Molecular Probes) or limiting dilutions (36) is an alternative to ultraviolet spectroscopy in determining DNA concentrations. However, in our hands, simple absorbance measurements were the most consistent. A second explanation may be that probes hybridize preferentially to one PCR product over the other, particularly if probe concentrations are limiting. Additionally, peak areas at lower temperatures are expected to be larger than at higher temperatures because of the temperature effect on fluorescence (19). Unequal peak areas for equal concentrations of DNA were also reported in a study detecting gene deletion and duplication by peak area using the LightCycler (24). In this study, peak areas for heterozygotes were not the predicted one-to-one ratio, and a known control was used to calculate a correction factor.
Testing each sample at multiple competitor concentrations and fitting all data points to a third-order polynomial should give the most accurate results and the widest dynamic range. However, good quantitative results can be obtained with only two competitor concentrations, using a linear fit to determine copy number. Repeat testing may be required to ensure competitor concentrations that flank the equivalence point. A single amplification at one competitor concentration can also be used to distinguish between amplified and nonamplified samples after the representative polynomial curves are known.
HER2/neu amplification status by competitive PCR correlated to conventional real-time PCR in 20 of 20 tumors. Eighteen of the 20 tumors correlated with FISH results. Of the two discrepant samples, one had a tetraploid DNA content. FISH analysis uses a chromosome 17 probe as a reference control and would not consider a tetraploid tumor amplified, a difference that is detected with PCR techniques. The second discrepant sample was amplified by FISH but not amplified by both PCR methods. A possible explanation is that the HER2/neu amplified genes were diluted in a background of nontumor cells. For this reason, samples containing a high percentage of tumor cells or microdissected samples are necessary for molecular analysis.
In evaluating this method, several sources of errors should be considered. One possible error is in calculating peak areas. A Tm difference of 8 °C does not produce complete baseline separation between melting peaks. However, fitting a curve from the sum of two gaussian curves incorporates the minor melting curve overlap present into the calculation. Even the most stable mismatch can be resolved with melting curve analysis of hybridization probes (21). However, less stable mismatches improve Tm separation, reduce the overlap of melting curves, and may increase the precision of relative area calculations. In choosing an appropriate base alteration for the competitor, all possible mismatches at the selected site were examined using nearest-neighbor thermodynamic estimates of DNA stability (37)(38)(39)(40). These estimates are useful in predicting the Tm for melting curve analysis (41)(42). C-A, C-T, and C-C mismatches gave similar predicted Tms of 63.2–63.3 °C. Other mismatches (G-G, G-T, G-A) were predicted to be more stable, with Tms of 64.4–65.5 °C.
A second potential error may exist in samples with low gene amplification. Quantitative PCR is estimated to be accurate only within fourfold (43). This may explain the lower gene dose for the T-47D cell line than is reported in the literature. An alternative explanation may be that genetic alterations occurred through additional cell passages. FISH analysis of the T-47D cell line confirmed an average gene dose of 2.6, less than the reported value. In the clinical samples studied, a gene dose of 2.5 appeared to discriminate between amplified and nonamplified samples. This was confirmed using DNA from sources without HER2/neu gene amplification. Repeat analysis of gene doses between two and four may be useful to confirm low amplification.
In conclusion, this report describes a novel quantitative, competitive PCR application using fluorescent hybridization probes and melting curve analysis. Quantification by melting peak area using fluorescent hybridization probes provides a sensitive and practical PCR method for gene quantification. This method controls for sample to sample efficiency differences, without the need of external standards or an independent reference gene.
|
Acknowledgments |
|---|
|
References |
|---|
|
TopAbstractIntroductionMaterials and MethodsResultsDiscussionReferences |
|---|
A, CC, GG, TT mismatches. Biochemistry 1999;12:3468-3477.
T mismatches in DNA. Nucleic Acids Res 1998;11:2694-2701.
The following articles in journals at HighWire Press have cited this article:
|
|
 |
|
  E. Lyon and C. T. Wittwer LightCycler Technology in Molecular Diagnostics J. Mol. Diagn., March 1, 2009; 11(2): 93 - 101. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. D'Addario, Y. Ming, S.-O. Ogren, and L. Terenius The role of acetaldehyde in mediating effects of alcohol on expression of endogenous opioid system genes in a neuroblastoma cell line FASEB J, March 1, 2008; 22(3): 662 - 670. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 S. Rauser, R. Weis, H. Braselmann, M. Feith, H. J. Stein, R. Langer, P. Hutzler, M. Hausmann, S. Lassmann, J. R. Siewert, et al. Significance of HER2 Low-Level Copy Gain in Barrett's Cancer: Implications for Fluorescence In situ Hybridization Testing in Tissues Clin. Cancer Res., September 1, 2007; 13(17): 5115 - 5123. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. M. Flowers and R. S. Burton Ribosomal RNA Gene Silencing in Interpopulation Hybrids of Tigriopus californicus: Nucleolar Dominance in the Absence of Intergenic Spacer Subrepeats Genetics, July 1, 2006; 173(3): 1479 - 1486. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
K. A. Warner, E. L. Crawford, A. Zaher, R. J. Coombs, H. Elsamaloty, S. L. Roshong-Denk, I. Sharief, G. V. Amurao, Y. Yoon, A. Y. Al-Astal, et al. The c-myc x E2F-1/p21 Interactive Gene Expression Index Augments Cytomorphologic Diagnosis of Lung Cancer in Fine-Needle Aspirate Specimens J. Mol. Diagn., August 1, 2003; 5(3): 176 - 183. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
A. Millson, A. Suli, L. Hartung, S. Kunitake, A. Bennett, M. C. L. Nordberg, W. Hanna, C. T. Wittwer, A. Seth, and E. Lyon Comparison of Two Quantitative Polymerase Chain Reaction Methods for Detecting HER2/neu Amplification J. Mol. Diagn., August 1, 2003; 5(3): 184 - 190. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 G. Pont-Kingdon and E. Lyon Rapid Detection of Aneuploidy (Trisomy 21) by Allele Quantification Combined with Melting Curves Analysis of Single-Nucleotide Polymorphism Loci Clin. Chem., July 1, 2003; 49(7): 1087 - 1094. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Konigshoff, J. Wilhelm, R. M. Bohle, A. Pingoud, and M. Hahn HER-2/neu Gene Copy Number Quantified by Real-Time PCR: Comparison of Gene Amplification, Heterozygosity, and Immunohistochemical Status in Breast Cancer Tissue Clin. Chem., February 1, 2003; 49(2): 219 - 229. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 M. Stocher and J. Berg Normalized Quantification of Human Cytomegalovirus DNA by Competitive Real-Time PCR on the LightCycler Instrument J. Clin. Microbiol., December 1, 2002; 40(12): 4547 - 4553. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
N. Wedemeyer, T. Potter, S. Wetzlich, and W. Gohde Flow Cytometric Quantification of Competitive Reverse Transcription-PCR Products Clin. Chem., September 1, 2002; 48(9): 1398 - 1405. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
S. M. Williams, C. A. Meadows, and E. Lyon Automated DNA Extraction for Real-Time PCR Clin. Chem., September 1, 2002; 48(9): 1629 - 1630. [Full Text] [PDF]
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
) are shown for each
competitor concentration.
), y =
-0.07x3 +
0.66x2 - 0.99x -
1.6 (R2 = 0.9994); T-47D (
),
y = -0.07x3 +
0.79x2 - 2.3x + 0.71
(R2 = 0.9988); SK-BR-3 (
),
y = -0.20x3 +
3.1x2 - 15x + 23
(R2 = 0.9994). Bars, SD.
· · · ·, equivalent competitor and target copy numbers
(C = T).