Peng Wang and
Peng Zhang*
Department of Chemistry, University of Cincinnati, Cincinnati, OH 45221, USA. E-mail: peng.zhang@uc.edu
First published on 23rd October 2014
The most common BRAF mutation, V600E, accounts for a variety of cancers. Here we report a highly specific and sensitive method for the detection of the V600E mutation. The detection scheme is based on luminescence resonance energy transfer (LRET) between upconversion nanoparticles (UCNPs) and an intercalating dye, SYBR Green I. Target DNA serves as the template for two DNA probes, one of them covalently attached to UCNPs, to be ligated into a hairpin-forming DNA strand, which brings SYBR Green I close to the upconversion nanoparticles. The number of the resulting DNA strand is amplified through thermal cycling. The degree of LRET is correlated to the amount of the initial DNA targets. Factors affecting the detection specificity and sensitivity, including ligation temperature, amount of ligase, and number of thermal cycles, have been investigated to optimize the performance of the detection method. The method can easily differentiate the V600E mutation from the wild-type sequence with a mutant-to-wild-type ratio of 1:
1000. A detection limit of 1 femtomole BRAF V600E mutation is achieved.
In recent studies, there have been growing interests in developing luminescence resonance energy transfer (LRET) based detection schemes,15–19 a process of energy transfer between a donor (typically nanoparticles) and an acceptor (quenchers or dyes).20 Upconversion nanoparticles (UCNPs) can emit higher-energy visible photons after absorbing lower-energy infrared photons. Compared to the commonly used down-conversion fluorophores or quantum dots, UCNPs possess some unique features, including sharp emission bands, long luminescence lifetimes, superior photostability, the near-absence of autofluorescence resulting in a high signal-to-background ratio, and the deep tissue penetration by near-IR excitation. There have been a number of reports on detection methods based on UCNPs with good specificity and sensitivity.17,19,21,22 Yet few of them involved targets directly associated with actual diseases. We have previously reported a proof-of-concept study that integrates the DNA ligation into a UCNP-based detection method.23 Herein we build upon that study to demonstrate a highly specific and sensitive method for the detection of BRAF V600E mutation. Several factors affecting the detection specificity and sensitivity have been considered and investigated to optimize the performance and feasibility of the detection scheme for use in clinical applications. To our knowledge, this is the first report on detecting BRAF V600E mutation using UCNPs and ligation reaction.
All sequences of DNA probes and targets used in this study are listed in Table 1. The DNA targets are DNA_tar (44mer), which is a section of the BRAF V600E containing the A→ T mutation as highlighted in bold red, and DNA_mis (44mer), which is the same section of normal BRAF gene (wild-type). Two single-stranded DNA probes are used: DNA_1 (33mer, amine-modified at the 5′-end) and DNA_2 (22mer, phosphorylated at the 5′-end).
DNA_1 is covalently conjugated to the UCNPs through the widely used EDC/NHS method. The amount of the conjugated DNA_1 to the UCNPs was determined experimentally. SYBR Green I emits weak fluorescence in the presence of single strand DNA, and can be used to quantify the amount of DNA_1 on the UCNP surface. The standardization curve of DNA_1 in 5 μM SYBR Green I solution was obtained with different concentrations of DNA_1 (Fig. 2), showing a linear relationship between the fluorescence intensity of SYBR Green I at 533 nm and the concentration of DNA_1 (in μM). The fluorescence intensity of 5 μM SYBR Green I solution in the presence of 10× diluted DNA_1-conjugated UCNPs was also measured. Based on the standardization curve, we calculated that the concentration of DNA_1 in the working solution of DNA_1-conjugated UCNPs was 0.27 μM, corresponding to a conjugation yield of ∼27% between UCNPs and DNA_1. We did not attempt to optimize the concentration of DNA_1 conjugated to UCNPs in this study.
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Fig. 2 (A) SYBR Green I fluorescence spectra excited at 480 nm with different concentrations of DNA_1. (B) Plot of I533 vs. DNA_1 concentration. |
The detection scheme is illustrated in Fig. 3. The underlying principle is LRET between the UCNPs and the intercalating dye, SYBR Green I. Two single-stranded DNA strands are each complementary to a juxtaposed section of the target DNA. One of the DNA probes is conjugated to the UCNPs. The design of the probe sequences includes a segment in each probe (underlined sections in Table 1) so that, when they are joined into one long DNA strand, a hairpin loop structure will be formed under ambient temperature. In the presence of the target DNA and ligase, ligation takes place between the two probes resulting in the formation of a hairpin-forming DNA strand with the sequence of 3′-
GT AGC TCT AAAGAG ACA TCG ATC TGG TTT TAG T
-5′, where the underlined bases indicate the stem portion of the hairpin structure. The number of the hairpin-forming DNA strands formed on the UCNP surface is amplified through thermal cycling between probe ligation at a lower temperature and DNA dehybridization at a higher temperature. In the presence of the mismatch target, ligation would not occur thus no hairpin-forming strands are formed on the UCNP surface.
The DNA_mis sequence is only one base different from the DNA_tar sequence. In our previous study,24 we found that the difference in signal between the match and mismatch targets was the largest when the mismatched base was at the penultimate 3′-position near the ligation point, leading to the best specificity of detection. Accordingly, DNA_1 probe is so designed that the mismatched base is located at its penultimate 3′-position. The nanoparticles are washed after the thermal cycling, before mixing with the intercalating dye, SYBR Green I. SYBR Green I, which has an excitation band overlapping with the UCNPs emission, are trapped in the stem portion of the hairpin-forming strand. Upon excitation at 980 nm, luminescence resonance energy transfer (LRET) would occur between the UCNPs and the nearby intercalated SYBR Green I. By monitoring the ratio of SYBR Green I emission at ∼533 nm and UCNP emission at ∼477 nm, we can determine whether ligation takes place between the two DNA probes. Since the target DNA serves as a template for the ligation, the ratio of I533/I477 is used to indicate the presence of the target DNA. The ratiometric measurement would self-calibrate the possible variation in the amount of UCNPs used among different runs.
This detection scheme displays the following features: high signal-to-noise ratio and high fidelity. The luminescence measurements are carried out under excitation of a 980 nm laser, which avoids any autofluorescence or cross-excitation. The background signal is essentially the baseline of the instrument. Thus even weak signals can have very high S/N ratios. Any free SYBR Green I in the solution would not affect the detection, as only those intercalated SYBR Green I near the UCNP surface participate in the LRET. The initial target DNA strands serve as template for all ligation steps, maintaining the high fidelity of the ligation, while linearly amplifying the number of hairpin-forming DNA strands on the UCNPs. Accordingly, the detected signal is linearly amplified with the increase in the number of thermal cycles. These features should lead to high specificity and sensitivity of the detection. As shown in Fig. 4, in the presence of DNA_tar, the 477 nm band decreases markedly while the 533 nm band increases slightly due to the LRET between the UCNPs and SYBR Green I. Yet with DNA_mis as target, the spectrum is essentially the same as that of control, indicating very little ligation occurs in the presence of DNA_mis.
We further optimize several factors that affect the performance of this detection scheme. In principle, ligation temperature should affect specificity, while the number of thermal cycles and, possibly, the amount of ligase affect the sensitivity. As shown in Fig. 4, the increase of the amount of Taqligase added does not appear to increase the I533/I477 ratio, indicating that 10 units of ligase is sufficient for the ligation reaction under the experimental conditions. Thus, we opted to use 10 units of ligase in later runs.
Ligation temperature is expected to have a major impact on the performance of the detection. On one hand, if the ligation temperature is low, hybridization between the target and probes is more efficient, leading to higher ligation efficiency with the same number of cycles and thus higher sensitivity. However, both DNA_tar and DNA_mis would hybridize with the two probes, reducing the specificity. On the other hand, higher ligation temperature improves the specificity, as only the matched target would be able to hybridize with the probes and allow the ligation to occur. Yet if the ligation temperature is set too high, only small amounts of DNA_tar would hybridize with the probes, which would lead to low sensitivity. Therefore it is important to select a sufficiently low ligation temperature while simultaneously achieving high differentiation between the two targets. The melting point of DNA_1 under the experimental conditions is 57 °C. Therefore three different ligation temperatures, 54, 57, and 60 °C, were tested, with results shown in Fig. 5. Notice the similarity between runs of control and mismatch sample at higher ligation temperature. Since ligation at 60 °C does not seem to further improve the detection specificity as compared with ligation at 57 °C, we opted to set the ligation temperature of 57 °C in the later experiments to determine the detection sensitivity of DNA_tar.
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Fig. 5 Emission spectra of UCNPs after 40 thermal cycles with 2 pmol DNA targets and 10 units of Taqligase at different ligation temperatures (A) 54 °C, (B) 57 °C, (C) 60 °C. |
The number of thermal cycles is expected to affect the number of hairpin-forming DNA strands on the UCNP surface, and subsequently the detection sensitivity. As shown in Fig. 6A, we have tested different numbers of thermal cycles, ranging from 10 to 160. The I533/I477 ratio is plotted vs. the number of cycles in Fig. 6B. The curve appears to approach a plateau, suggesting that, while it is possible to improve the detection sensitivity by increasing the number of thermal cycles, the effectiveness in improving the sensitivity decreases as the cycle number increases. Based on the consideration of sensitivity and total operation time, we decided to use 80 cycles in most measurements.
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Fig. 6 (A) Emission spectra of UCNPs after different cycles in the presence of 1 pmol DNA targets and 10 units of Taqligase at ligation temperature of 57 °C. (B) I533/I477 vs. number of cycles. |
These results combine to support the notion that the detection sensitivity is determined largely by the number of thermal cycles and to a small extent by the amount of ligases used. Under the condition of 10 units Taqligase and 80 cycles, we carried out a series of experiments with different amounts of DNA_tar. The results in Fig. 7 show that 1 femtomole of DNA_tar can be readily detected. The linear range from 0.1 to 2.0 pmol can be used to quantify the DNA_tar concentration. Also notice the gap between 0 and 1 femtomole DNA_tar in the inset of Fig. 7B, which implies that the sensitivity can be further improved.
In clinical settings, the mutated DNA strand is most likely present with a large amount of the wild-type strands. Thus it is important to check out whether the scheme can detect DNA_tar in the presence of DNA_mis. Fig. 8 shows the results when mixture of different ratios of DNA_tar and DNA_mis was used as targets. The difference in the emission spectra from the control is significant for mixtures of DNA_tar/DNA_mis ratio down to 0.1% as confirmed statistically by the t-test. By plotting I533/I477 vs. DNA_tar/DNA_mis, a mutant-to-wild-type ratio of 1:
1000 can be achieved for the detection. This indicates great potential of the detection scheme for clinical use.
This journal is © The Royal Society of Chemistry 2014 |