The International Federation of Horseracing Authorities (https://www.ifhaonline.org/) has
updated the International Agreement on Breeding, Racing, and Wagering to prohibit gene doping
[18]. Gene doping in horseracing is classified as the
administration of gene doping substances to postnatal animals or the generation of genetically
modified racehorses by editing of zygotes. One method in the former category involves the
administration of an exogenous gene, known as a ‘transgene’, to postnatal horses [21].Polymerase chain reaction (PCR)-based detection methods have been developed to detect
transgenes in human and equine sports [3, 7, 16, 19]. Quantitative PCR methods using a hydrolysis probe can
specifically detect administered transgenes cloned into plasmids or adeno-associated virus
vectors [9, 21].
Recently, the World Anti-Doping Agency published laboratory guidelines for PCR-based detection
of transgenes for gene doping control in human sports [25]. A necessary step in developing a gene doping test is method validation [5, 8, 11], for which a reference material (RM) and/or positive
template control (PTC) are required [4, 26]. RM is defined as a material that is sufficiently
homogeneous and stable with respect to one or more specified properties and has been
established to be suitable for its intended use in a measurement process, whereas a PTC is a
substance diluted from the RM.In a gene doping test, a PTC constructed from a diluted RM should be used. When detecting a
single transgene, the full gene sequence should be cloned into a plasmid vector to establish
an RM, which should then be diluted for use as a PTC [21]. However, when targeting multiple transgenes simultaneously, preparing an RM or
PTC individually is complicated. We recently developed a simultaneous detection method for 12
transgenes (24 assays in total) using microfluidic quantitative PCR (MFQPCR) as a gene doping
test for use in horseracing [19]. However, a novel RM
is required for simultaneous analysis of multiple targets.An advantage of PCR-based detection methods is their high sensitivity [16]. Analysis of the PTC is necessary for confirmatory detection of gene
doping [25]. However, PCR-based detection methods have
a potential risk of false positives due to PTC contamination [14, 17], as PCR theoretically enables the
amplification of a single copy. In this study, we developed an RM for MFQPCR-based gene doping
tests that simultaneously detects multiple target genes. We also examined the contamination
risk associated with the developed RM and its long-term storage stability.
Materials and Methods
Ethical considerations
Blood samples were collected from Thoroughbreds at the Miho and Ritto Training Centers
and Equine Research Institute of the Japan Racing Association after obtaining approval
from the Animal Care Committee of the Laboratory of Racing Chemistry (Utsunomiya, Tochigi,
Japan, approval number 20-4).
Blood collection and DNA extraction
Blood was collected from 264 Thoroughbreds into BD Vacutainer spray-coated
K2EDTA tubes (BD Biosciences, Franklin Lakes, NJ, U.S.A.). Plasma was separated
by centrifugation at 1,500 × g for 10 min. The separated plasma samples
were stored at −30°C. The separated plasma samples from the 264 horses were used for
MFQPCR detection. Among these samples, two plasma samples (1.5 ml) were
spiked with either 150 or 1,500 copies of Control_A_MSTN as positive detection models
(Table 1), and two samples were spiked with either 150 or 1,500 copies of
Control_C_SET1 as contamination models of PTCs (Table
1). DNA was extracted from the 1.5 ml plasma samples using a
Custom NEXTprep cfDNA Auto Kit (1.5 ml; PerkinElmer, Waltham, MA, U.S.A.)
with a chemagic 360 instrument (PerkinElmer). The extract was dissolved in Milli-Q water
to a final volume of 50 µl.
Table 1.
Preparation of spiked samples for microfluidic quantitative PCR
detection
Spiked sample
Content of plasma (ml)
Content of spiked control
Sample 1
1.5
150 copies of Control_A_MSTN
Sample 2
1.5
1,500 copies of Control_A_MSTN
Sample 3
1.5
150 copies of Control_C_SET1
Sample 4
1.5
1,500 copies of Control_C_SET1
Samples 5–264
1.5
None
Samples 1 and 2: positive detection models of single transgene. Samples 3 and 4:
contamination models of positive template controls.
Samples 1 and 2: positive detection models of single transgene. Samples 3 and 4:
contamination models of positive template controls.
Target genes
The following 12 equine genes were selected as targets: creatine kinase, muscle
(CKM), erythropoietin (EPO), fibroblast growth factor
2 (FGF2), follistatin (FST), growth hormone 1
(GH1), insulin-like growth factor 1 (IGF1), myostatin
(MSTN), phosphoenolpyruvate carboxykinase 1 (PCK1),
pyruvate dehydrogenase kinase 4 (PDK4), peroxisome proliferator activated
receptor delta (PPARD), vascular endothelial growth factor
(VEGF), and zinc finger and AT-hook domain containing
(ZFAT). These genes were the same as those used in our previous study
[19].
Design of primers and probes for transgene detection
We used the pre-amplification primers and quantitative PCR primers and probes designed in
our previous study, with minor modifications [19].
As shown in Fig. 1A, each gene had two primer/probe sets, SET1 and SET2. Forward and reverse primers
targeting different exons and TaqMan-MGB probes targeting exon/exon junctions were
designed and synthesised. Finally, 12 primer-probe sets for SET1 detections and 12
primer-probe sets for SET2 detections were prepared and used for the 12 transgenes. The
SET1 assay for the MSTN transgene was labelled as MSTN_SET1; this
labelling system was used for each gene. The designed probes and primers have not been
listed, as this may prevent their use in actual gene-doping tests. Sequence information of
the probes and primers will be provided through a confidentiality agreement with the
corresponding author.
Fig. 1.
Design of reference materials for gene doping tests. Each gene had two detection
sites, SET1 and SET2. Primers for pre-amplification (green arrows), primers for
quantitative detection (blue arrows), and a hydrolysis probe (blue bar) were
designed (A). Reference materials were constructed for 12 transgenes, and SET1 and
SET2 were designed separately. The detection sites for each transgene were connected
into one sequence and then cloned into a plasmid. The detection sites included an
additional 10-bp sequence (B).
Design of reference materials for gene doping tests. Each gene had two detection
sites, SET1 and SET2. Primers for pre-amplification (green arrows), primers for
quantitative detection (blue arrows), and a hydrolysis probe (blue bar) were
designed (A). Reference materials were constructed for 12 transgenes, and SET1 and
SET2 were designed separately. The detection sites for each transgene were connected
into one sequence and then cloned into a plasmid. The detection sites included an
additional 10-bp sequence (B).
Design of reference materials
RM Control_A, with an open reading frame (DNA sequence with exons aligned without gaps)
and untranslated region, was prepared as described in our previous study [19] for each of the 12 transgenes. The RM for the
MSTN transgene was labelled as Control_A_MSTN; this labelling system
was used for each gene.Control_C_SET1 and Control_C_SET2 were novel RMs designed in this study. They contained
only the detection site of each transgene between the forward and reverse primers used for
pre-amplification. Additional 10-bp sequences were inserted into the region between the
qPCR probe and primer sites (Fig. 1B). Sequences
designed to enable the individual detection of each gene were then connected. These
sequences were synthesised by Fasmac (Atsugi, Japan) and cloned into pUCFa
(r-Amp+, ColE1_ori+). The cloned plasmid was transformed into
JM109 competent cells (Takara Bio, Kusatsu, Japan) and cultured in LB medium
(Amp+). The plasmids were extracted from the transformed JM109 cells,
purified using a Wizard Plus SV Minipreps DNA Purification System (Promega, Madison, WI,
U.S.A.), and dissolved in Milli-Q water. The cloned sequences were confirmed by Sanger
sequencing.
Storage and dilution of positive template controls
Purified Control_C_SET1 and Control_C_SET2 were diluted to 5, 10, 30, 100, 1,000, and
10,000 copies in 2.75 µl of Milli-Q water with 10 ng/µl
of equine genomic DNA. The copy concentration was measured and adjusted using digital PCR,
as described below. These samples were used as PTCs for MFQPCR detection.In addition, 10, 100, 1,000, and 10,000 copies/µl of the PTCs in Milli-Q
water with or without 10 ng/µl of equine genomic DNA were prepared and
stored at 4°C for 1 year and used for storage stability experiments using digital PCR, as
described below.
MFQPCR detection
MFQPCR detection was performed under previously described conditions with minor
modifications [19]. Pre-amplification was conducted
using 2.75 µl of sample solution (6 diluted PTCs and extracts from 86
unspiked plasmas and 2 plasmas spiked with Control_A in Fig. 2A; 6 diluted PTCs and extracts from 88 unspiked plasmas in Fig. 2B; and 6 diluted PTCs and extracts from 86 unspiked plasmas
and 2 plasmas spiked with Control_C in Fig. 2C)
with pre-amplification primer pools for SET1 and SET2. The PCR conditions for
pre-amplification were the same as those used in our previous study, except for the number
of PCR cycles, which was 14 in this study. MFQPCR was performed under the conditions
described in a previous study [19], except with a
different sample volume, using a 192.24 Dynamic Array IFC for Gene Expression (Fluidigm,
South San Francisco, CA, U.S.A.). In this study, undiluted pre-amplified PCR products were
used as samples for MFQPCR detection. All qPCR operations and data analyses were conducted
using the Biomark Data Collection software and Real-Time PCR Analysis software (Fluidigm),
respectively. Two NTCs (no template controls) were prepared for quality control.
Fig. 2.
MFQPCR SET1 assay using the newly designed Control_C_SET1 for simultaneous
transgene detection. The vertical axes in each section (A–C) represent SET1 assays
of CKM, EPO, FGF2,
FST, GH1, IGF1,
MSTN, PCK1, PDK4,
PPARD, VEGF, and ZFAT. The
horizontal axes represent the equine plasma samples (88 samples each) and Positive
template controls (PTCs). The right side of the horizontal axes represents PTCs
(10,000, 1,000, 100, 30, 10, and 5 copies). Orange indicates a low cycle threshold
(Ct) value (high copy concentrations). Dark purple indicates a high Ct value (low
copy concentrations). Black indicates non-amplification. Two plasma samples were
spiked with Control_A_MSTN as positive detection models of a single transgene (red
circles, samples 1 and 2 in Table 1),
which was detected by microfluidic quantitative PCR (A). Delivery errors of PTC
(1,000 copies) and FGF2 assay solution are shown as green rectangles (A and B). Two
plasma samples were spiked with Control_C_SET1 (green rectangles, samples 3 and 4 in
Table 1) as models of PTC sample
contamination (C). Blue circles represent non-specific amplification (A–C).
MFQPCR SET1 assay using the newly designed Control_C_SET1 for simultaneous
transgene detection. The vertical axes in each section (A–C) represent SET1 assays
of CKM, EPO, FGF2,
FST, GH1, IGF1,
MSTN, PCK1, PDK4,
PPARD, VEGF, and ZFAT. The
horizontal axes represent the equine plasma samples (88 samples each) and Positive
template controls (PTCs). The right side of the horizontal axes represents PTCs
(10,000, 1,000, 100, 30, 10, and 5 copies). Orange indicates a low cycle threshold
(Ct) value (high copy concentrations). Dark purple indicates a high Ct value (low
copy concentrations). Black indicates non-amplification. Two plasma samples were
spiked with Control_A_MSTN as positive detection models of a single transgene (red
circles, samples 1 and 2 in Table 1),
which was detected by microfluidic quantitative PCR (A). Delivery errors of PTC
(1,000 copies) and FGF2 assay solution are shown as green rectangles (A and B). Two
plasma samples were spiked with Control_C_SET1 (green rectangles, samples 3 and 4 in
Table 1) as models of PTC sample
contamination (C). Blue circles represent non-specific amplification (A–C).
Fragment analyses
A 15 µl reaction sample containing 2.5 µl of diluted
Control_A and Control_C, 1.5 µl of 10X PCR buffer (Mg2+-free;
Takara Bio), 0.9 µl of 25 mM MgCl2 solution (Takara Bio), 1.2
µl of 2.5 mM dNTP (Takara Bio), and 0.075 µl of TaKaRa
Taq (5 U/µl, Takara Bio) was amplified using GeneAmp PCR System 9700
(Thermo Fisher Scientific, Waltham, MA, U.S.A.). Enzyme activation was performed at 95°C
for 3 min, followed by 30 cycles of denaturation at 95°C for 30 sec, annealing at 60°C for
30 sec, and extension at 72°C for 1 min. After a final extension at 72°C for 10 min, the
amplicons were stored at 4°C until analysis.Fragment patterns were determined using a DNA 1K Reagent Kit assay with the DNA Extended
Range LabChip of LabChip GX Touch 24 (PerkinElmer) in accordance with the manufacturer’s
recommended procedure. Each marker was measured 6 times, and then means and standard
deviations were calculated. An NTC was prepared for quality control.
Digital PCR analysis
Digital PCR analysis was performed according to the conditions described in our previous
study [21]. A 22-µl reaction
sample was prepared that contained 2.2 µl of sample solution (Control_C
diluted to 10,000, 1,000, 100, and 10 copies), 11 µl of 2X digital PCR
Supermix (no dUTP; Bio-Rad, Hercules, CA, U.S.A.), 0.2 µl of 100
µM forward primer, 0.2 µl of 100 µM
reverse primer, and 0.6 µl of 10 µM TaqMan-MGB probe. A
20-µl droplet was created using an automated droplet generator
(Bio-Rad) and then PCR amplified using a T100 thermal cycler (Bio-Rad). Enzyme activation
was conducted at 95°C for 10 min, followed by 40 cycles of denaturation at 94°C for 30 sec
and annealing/extension at 60°C for 1 min. The amplicons were stored at 12°C after 10 min
of enzyme deactivation at 98°C. DNA concentrations were measured in the samples using a
QX200 droplet reader (Bio-Rad). An NTC was prepared for quality control. The linearity of
diluted Control_C (10,000, 1,000, 100, and 10 copies) was calculated using the
least-squares method.
Results
Detection of RMs via MFQPCR analysis
MFQPCR analysis indicated that 5, 10, 30, 100, 1,000, and 10,000 copies of Control_C_SET1
and Control_C_SET2 as PTCs were effectively amplified and detected in the 24 assays (12
genes × 2 assays [SET1 and SET2]), whereas extracts from unspiked plasma were not
amplified.In addition, amplification signals in samples spiked with Control_A_MSTN (150 or 1,500
copies in 1.5 ml plasma) were detected in both the MSTN_SET1 and
MSTN_SET2 assays. The red circles in Fig. 2A
indicate the signals detected in the MSTN_SET1 assay, whereas the blue circles in Fig. 2 indicate the three weak signals observed in
the SET1 assay. No amplification signals were observed in the same samples via the SET2
assay, suggesting that the weak amplification signals were non-specific signals.Among the large number of MFQPCR analyses performed, several errors in liquid transfer
were observed in the integrated fluidic circuits (IFCs; Fig. 2A, 2B). When an IFC liquid transfer error occurs, no chambers in the same
row produce signals. As shown in Fig. 2A (green
rectangle), Control_C_SET1 at 1,000 copies failed to produce an amplification signal in
any of the SET1 assays. As shown in Fig. 2B
(green rectangle), no PTCs produced amplification signals in any of the FGF2_SET1 assays.
In contrast, as shown in Fig. 2C (green
rectangle), all SET1 assays of samples spiked with 150 or 1,500 copies of Control_C_SET1
produced positive results, indicating contamination.
Discrimination between true-positive samples and RMs
Using forward and reverse primers for MFQPCR analysis, the sizes of the PCR products
amplified from the Control_A and Control_C templates were compared using a LabChip GX
Touch 24. PCR products from Control_A and Control_C were differentiated by the insertion
sequence of 10 bp for all markers (Fig. 3, Table 2). The assays distinguished between the amplification product lengths of
Control_A as gene-doping substances and Control_C.
Fig. 3.
Electrophoretic images of Control_A and Control_C amplified by PCR via a LabChip GX
Touch 24. CKM was amplified using quantitative polymerase chain
reaction (PCR) primers. The upper and lower charts present the results for SET1 and
SET2, respectively. Blue represents Control_A, and red represents Control_C.
Table 2.
Size discrimination between Control_A and Control_C by LabChip24
SET1
SET2
Control_A
Control_C
Control_A
Control_C
Mean
SD
Mean
SD
Mean
SD
Mean
SD
CKM
148.1
0.31
158.1
0.35
69.8
0.73
78.2
0.41
EPO
115.2
0.25
127.2
0.44
126.9
0.29
136.1
0.26
FGF2
87.2
0.20
95.8
0.13
83.9
0.27
91.4
0.13
FST
72.3
0.08
81.6
0.16
109.3
0.38
120.0
0.45
GH1
107.5
0.50
116.7
0.32
110.6
1.49
116.5
1.85
IGF1
126.9
0.50
139.9
0.87
83.3
1.91
92.8
0.26
MSTN
75.2
0.16
85.8
0.82
78.9
0.13
88.5
0.11
PCK1
82.5
0.31
93.0
0.34
98.8
0.13
108.7
0.13
PDK4
77.3
0.34
85.7
0.39
77.7
0.30
86.2
0.15
PPARD
94.7
0.16
104.3
0.26
89.3
0.10
99.5
0.22
VEGF
72.0
0.26
82.2
0.12
82.8
0.57
90.8
0.35
ZFAT
82.5
0.29
93.6
0.59
118.9
0.21
130.3
0.60
Unit: base pairs (bp). SD: standard deviation.
Electrophoretic images of Control_A and Control_C amplified by PCR via a LabChip GX
Touch 24. CKM was amplified using quantitative polymerase chain
reaction (PCR) primers. The upper and lower charts present the results for SET1 and
SET2, respectively. Blue represents Control_A, and red represents Control_C.Unit: base pairs (bp). SD: standard deviation.
PTC stability
The concentrations of Control_C_SET1 and Control_C_SET2 were adjusted to 10,000, 1,000,
100, and 10 copies/µl and refrigerated for 1 year. Concentration was
measured by digital PCR using SET1 and SET2 assays for CKM,
FST, MSTN, and PPARD. The mean of
four measurements was considered as the concentration value.Control_C_SET1 and Control_C_SET2 diluted with 10 ng/µl genomic DNA were
stably detected for 1 year. However, the quantitative values of Control_SET1 and
Control_SET2 diluted with Milli-Q water tended to decrease after 6 months in samples
diluted to 1,000, 100, and 10 copies/µl (Fig. 4).
Fig. 4.
Quantitative values of Control_C over the course of 1 year. Positive template
control (PTC) solutions of 10,000 (A), 1,000 (B), 100 (C), and 10 (D) copies were
quantified over the course of 1 year. Blue, Control_C_SET1 diluted in genomic DNA;
orange, Control_C_SET2 diluted in genomic DNA; grey, Control_C_SET1 diluted in
Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q water.
Quantitative values of Control_C over the course of 1 year. Positive template
control (PTC) solutions of 10,000 (A), 1,000 (B), 100 (C), and 10 (D) copies were
quantified over the course of 1 year. Blue, Control_C_SET1 diluted in genomic DNA;
orange, Control_C_SET2 diluted in genomic DNA; grey, Control_C_SET1 diluted in
Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q water.The coefficient of variation (CV) of each sample at each time point was calculated for
each of the four concentrations (Fig. 5). The CVs of 10,000, 1,000, and 100 copies/µl reached
approximately 20%, whereas that of 10 copies/µl reached 36%, suggesting
that quantification of low copy numbers was difficult (Fig. 5). In addition, at 10 copies/µl, the CV of Control_C
diluted in genomic DNA solution ranged from 8.5% to 25%, whereas that of Control_C diluted
in Milli-Q water ranged from 5.8% to 36%. Notably, the CVs at the last two measured time
points were large, indicating that variation gradually increased over time for Control_C
diluted in Milli-Q water (Fig. 5).
Fig. 5.
Coefficients of variation (CVs) of samples containing Control_C over the course of
1 year. Positive template control (PTC) solutions of 10,000 (A), 1,000 (B), 100 (C),
and 10 (D) copies were quantified over the course of 1 year. Blue, Control_C_SET1
diluted in genomic DNA; orange, Control_C_SET2 diluted in genomic DNA; grey,
Control_C_SET1 diluted in Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q
water.
Coefficients of variation (CVs) of samples containing Control_C over the course of
1 year. Positive template control (PTC) solutions of 10,000 (A), 1,000 (B), 100 (C),
and 10 (D) copies were quantified over the course of 1 year. Blue, Control_C_SET1
diluted in genomic DNA; orange, Control_C_SET2 diluted in genomic DNA; grey,
Control_C_SET1 diluted in Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q
water.The linearity of diluted Control_C was calculated immediately after sample preparation
and at 1, 3, 6, and 12 months (Fig. 6). The linearity of all Control_C samples was generally maintained (R2:
0.999–1.0000), excluding Control_C_SET2 diluted in Milli-Q water (R2=0.9983 at
3 months, R2=0.9962 at 6 months, and R2=0.9949 at 12 months).
Fig. 6.
Linearity of diluted positive template controls (PTCs). Linearity was calculated
immediately (A) and after 3 (B), 6 (C), and 12 (D) months. Blue, Control_C_SET1
diluted in genomic DNA; orange, Control_C_SET2 diluted in genomic DNA; grey,
Control_C_SET1 diluted in Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q
water.
Linearity of diluted positive template controls (PTCs). Linearity was calculated
immediately (A) and after 3 (B), 6 (C), and 12 (D) months. Blue, Control_C_SET1
diluted in genomic DNA; orange, Control_C_SET2 diluted in genomic DNA; grey,
Control_C_SET1 diluted in Milli-Q water; yellow, Control_C_SET2 diluted in Milli-Q
water.
Discussion
In quantitative PCR-based gene doping tests, a PTC and NTC are required for positive
determination [25]. In addition, to determine the
limit of detection for method validation of a gene doping test, it is necessary to prepare
low concentrations and/or serial dilutions of the PTC [14]. As we had previously developed a simultaneous detection method for 12
transgenes using MFQPCR [19], in this study, we aimed
to develop an RM for multiple targets.When a single gene is targeted in a gene doping test, an RM can be prepared as a single
target [21]. However, when multiple genes are
targeted, the preparation of RMs becomes complicated. In one procedure, an RM for each gene
is cloned into a plasmid vector and individually quantified so that equal contents of each
RM are present [19]. However, it is difficult to mix
individually prepared RMs with the same number of copies, particularly those with low copy
numbers (10 copies or less). This leads to variations in the PTC copy numbers, resulting in
uncertain identification and quantification of gene doping substances. In fact, in a
previous study, we mixed and diluted individually prepared PTCs, but the detection of mixed
PTCs in the low copy number region was unstable [19].
Although not necessarily problematic when positive results are obtained by amplification and
non-amplification, detection instability in the low copy number region is an issue when the
limit of detection has been established. We concluded that the Control_C template designed
in this study was suitable as an RM for simultaneous detection using MFQPCR because it had
multiple detection sites in the single plasmid vector, rendering individually quantified and
mixed PTCs unnecessary.Although RMs are traditionally constructed from RNA extracted from equine tissues, we
prepared RMs via artificial synthesis. The whole-genome sequence of horses, excluding the Y
chromosome, has been determined, and the reference sequence, EquCab3.0, is currently
available [13, 24]. A variant database of 101 Thoroughbreds is now available [20]. Therefore, RMs can be easily designed using genomic
information and artificially synthesised. For example, in our study, Control_C comprised the
quantitative PCR detection sites of 12 target genes.One advantage of Control_C was that it could be quantified by multiple assays (12 assays
maximum). Quantitative bias caused by assay differences, such as amplification efficiency
differences, can be suppressed to a low level. In this study, we found that a more accurate
PTC copy number could be quantified using the mean of four assays. These quantification
procedures may be suitable for RM quantification [4,
26]. As digital PCR enables absolute quantification
of target templates [10, 23], quantification of Control_C via multiple assays is an effective
method for validating gene doping tests.An advantage of MFQPCR analysis is the ability to analyze multiple markers simultaneously
[12, 15];
however, the device used for it is very sensitive, making it necessary to monitor errors
originating from the analytical instrument. Particular attention should be paid to IFC
liquid delivery errors, and Control_C may be useful for identifying such errors. In one
assay, no amplification signals were detected, whereas PTCs were detected in the other
assays. Here, errors in the delivery of primer/probe mixtures were suspected rather than
errors in the delivery of control substances.PTCs are necessary for gene doping tests and PCR-based detection of viruses, such as
COVID-19 [6, 22]. However, the use of PTCs comes with the potential risk of sample contamination.
Because PCR theoretically enables amplification of a single copy, positive controls are
needed to determine whether the detected signals originate from the sample or from
contamination. An advantage of Control_C is that its PCR product size differs from that of
the original gene. In addition, because it is unlikely that all tested genes will have been
doped simultaneously, detected signals are more likely to have arisen from contamination
than from a positive sample if Control_C is detected in all assays. The number of
false-positive results can be reduced by using these procedures.In real-time PCR, controls must be prepared from the RM for each gene doping test [25], either by diluting high-concentration RMs for each
test or by preparing diluted controls for long-term storage. The former method is generally
used for quantitative operations requiring strict dilutions because a high concentration is
more stable than a low concentration [1]. The latter
method is easier to perform, but the stability of PTCs with low copy numbers is a concern.
Although it has been reported that PTCs with high copy numbers were stably stored for over 1
year [2], in this study, we demonstrated that even
PTCs with low copy numbers could be stably stored for approximately 1 year by dissolving
them in genomic DNA. This enables diluted controls to be prepared for long-term storage
prior to gene doping tests.The high CV observed at a concentration of 10 copies/µl was attributed in
part to the process of dispensing the sample stock into the well of the PCR plate.
Theoretically, a signal can be detected from one copy; however, because it is difficult to
dispense exactly one copy, approximately five copies may be the detection limit. In
addition, particularly in Milli-Q water, adsorption to the storage container may lead to
variation.In conclusion, we determined that even at 10 copies/µl, the newly designed
PTC could be stored under refrigeration for up to 1 year when dissolved in a solution
containing the genome. In addition, by absolute quantification via digital PCR, we
determined that the prepared PTC can be used as an RM. The results indicate that our RM
design concept is suitable for use in MFQPCR-based gene doping tests and their developmental
validation.
Conflict of Interest
There are no competing interests, including patents, products in development, or marketed
products, to declare in relation to this work.
Authors: Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer Journal: Clin Chem Date: 2009-02-26 Impact factor: 8.327
Authors: E W I Neuberger; I Perez; C Le Guiner; D Moser; T Ehlert; M Allais; P Moullier; P Simon; R O Snyder Journal: Gene Ther Date: 2016-01-11 Impact factor: 5.250
Authors: Benjamin J Hindson; Kevin D Ness; Donald A Masquelier; Phillip Belgrader; Nicholas J Heredia; Anthony J Makarewicz; Isaac J Bright; Michael Y Lucero; Amy L Hiddessen; Tina C Legler; Tyler K Kitano; Michael R Hodel; Jonathan F Petersen; Paul W Wyatt; Erin R Steenblock; Pallavi H Shah; Luc J Bousse; Camille B Troup; Jeffrey C Mellen; Dean K Wittmann; Nicholas G Erndt; Thomas H Cauley; Ryan T Koehler; Austin P So; Simant Dube; Klint A Rose; Luz Montesclaros; Shenglong Wang; David P Stumbo; Shawn P Hodges; Steven Romine; Fred P Milanovich; Helen E White; John F Regan; George A Karlin-Neumann; Christopher M Hindson; Serge Saxonov; Bill W Colston Journal: Anal Chem Date: 2011-10-28 Impact factor: 6.986