Determination of minimal sequence for binding of an aptamer. A comparison of truncation and hybridization inhibition methods

Thao T. Le, Orada Chumphukam and Anthony E. G. Cass*
Department of Chemistry, Imperial College London, UK. E-mail: t.cass@imperial.ac.uk; Tel: +44 (0)20 7594 5195

Received 6th August 2014 , Accepted 18th September 2014

First published on 18th September 2014


Abstract

Nucleic acid aptamers are attracting increasing interest as sensing and therapeutic molecules as a consequence of their high affinity and specificity for their target molecules. Aptamers are selected from large random libraries and where structural data are available it appears that only a small fraction of the sequence is actually involved in direct contact with the target. As there are many advantages to minimizing the size of the aptamer a rapid method that can determine those parts of the sequence critical for the target binding would be very useful. In this paper we describe mapping the effective binding region of an aptamer selected against electric eel acetylcholinesterase. As originally selected this aptamer is 77 nucleotides in length and was shown to bind the target with a high affinity (Kd = 174 ± 27 pM). Truncation to 39 nucleotides enhanced affinity for its target by an order of magnitude (Kd = 14 ± 1 pM). To further probe the relationship between sequence and affinity, we used two approaches: truncation and hybridization inhibition. Binding assays were performed with a number of truncated variants to determine a minimal binding sequence. A similar set of measurements for hybridization inhibition was also performed to allow a comparison of the two approaches. In general hybridization inhibition resulted in comparable conclusions to those found by truncation. The exception to this was where the former resulted in steric clashes between double stranded DNA regions and the target. In this case the effect on affinity was less pronounced than with truncation.


Introduction

In vitro selection of nucleic acid aptamers starts with a random sequence library typically with a length that varies from a couple of dozen to over a hundred nucleotides (the core) flanked by forward and reverse priming regions of further tens of nucleotides in length.1 It is not necessary for every nucleotide of the sequences that emerge from selection to be involved in the target binding. Nucleotides in the priming regions have been shown to occasionally be involved in binding2 but more often they have little or no effect.3 In addition, not all the nucleotides in the core region make a contribution to the aptamer-target interactions. For example, the most investigated DNA aptamer (to human α-thrombin) was selected from a library of 60 nucleotides in the random region flanked by 50 nucleotides in the two priming regions but subsequently was shown to require only 15 nucleotides.4 Another example is the first approved aptamer-based drug, an RNA aptamer against VEGF, was selected from two RNA libraries with 61 and 71 nucleotides in total5 and was trimmed to 27 nucleotides for its use as a drug.6 More recently the single round selection followed by deep sequencing of the selected pool approach described by Hoon et al. found many naturally truncated sequences in the enriched pool.7 It is often desirable to generate minimal length, binding sequences as reagents in binding assays and structural studies and subsequently for sensing or therapeutic uses.8–10 There are a number of advantages in eliminating unnecessary nucleotides to decrease the aptamer size. Firstly it obviously reduces production cost of the aptamers. Secondly it was reported that removing those nucleotides not involved in binding could increase the aptamer affinities and subsequently their performance as therapeutic or analytical reagents.11,12 In addition, structural studies would benefit from reducing the molecules' size.

Initially clues to identify potential binding sequences of selected aptamers could be obtained by sequence analysis to find common motifs, or alternatively identifying G-quadruplex structures and preference-binding motifs that had previously been discovered either in naturally occurring nucleic acids or arise frequently during in vitro selection.13–17 In most cases, where no such clues can be found, the experimental approach of sequence truncation is used. Truncations at either the 5′- or 3′- end of sequences are easily generated and the minimal binding sequences can be identified from the binding constants of differently truncated variants.11,18 The truncated variants are mainly chosen empirically5,19 but it has also been reported that predicted secondary structures can be used as guidance.20,21 However, as aptamers often undergo conformational changes upon binding to their targets, secondary structures in the unbound states can be very different from those in the bound state and therefore truncation using predicted secondary structures of the unbound forms could be misleading.

Typically truncation studies were done by synthesizing new sequences with nucleotides eliminated from the full length sequences, which requires synthesis of a whole new sequence for each truncated variant.5,19,22 Alternatively mapping sequences can also be done through hybridization inhibition using competitive probes, which only requires preparing a short complementary oligo to the sequence being investigated.23,24 As no direct comparison of truncation with hybridization inhibition has been made previously, we assessed both approaches with a high affinity aptamer selected against electric eel acetylcholinesterase (AChE) which has a Kd value of 174 ± 27 pM. Binding assays with both truncated and inhibited variants were performed. When combined with calculation of the binding of competitive probes to the aptamer this offers a free energy-guided design for effective competitive probes for hybridization inhibition in determination of minimal sequence for binding.

Materials and methods

Selection of the aptamer

A DNA library with the central region containing 41 randomized nucleotides and 18 nucleotide priming regions (AAGCA TCCGC TGGTT GAC–N41-GATCT TGGAC CCTGC GAA) was used as the starting pool for the selection. Details of the selection condition are described in.25 After 15 rounds of selection, the enriched pool was cloned and individual colonies were picked for sequencing. One particular sequence (R15C19) was found with high frequency (40%) in the Round 15 pool and used for the subsequent truncation studies.

Hybridization of the probes and the aptamer

Reverse and complementary oligos were used for competitive hybridization experiments. Initial solutions containing 1 μM of biotinylated R15C19 full length and 1.25 μM of a probe in the selection buffer were heated at 95 °C for 5 min and then lowered to 50 °C for 10 min and then cooled at room temperature for 20 min. The solutions of desired concentrations of the aptamer for binding assays were diluted from these initial solutions.

ELONA assays

Kd values were determined using an Enzyme Linked Oligonucleotide Assay (ELONA). In this assay the target (AChE) is adsorbed in the wells of a microtiter plate and titrated with biotinylated aptamer, incubated and then the wells were washed with buffer. The amount of captured aptamer is then determined by adding streptavidin–HRP and suitable substrates and measuring the absorbance.

For immobilization of the target, 100 μL of 10 nM AChE solution in PBS was added to each well of 96 well polystyrene plates and incubated at 4 °C overnight. The AChE solutions in the wells were discarded and the wells were then washed 4 times with 150 μL of PBS supplemented with 0.05% (v/v) Tween 20 (PBST) to remove weakly adsorbed molecules before being blocked with 1% (w/v) BSA. 100 μL of selection buffer (for background) or a solution of the biotinylated aptamer in the selection buffer was then added and incubated at room temperature for 2 h. The unbound DNA was removed by washing 4 times with 150 μL of the selection buffer supplemented with 0.05% (v/v) Tween 20. The bound DNA was determined by adding 100 μL of a streptavidin–HRP solution and incubated at room temperature for 30 min. Streptavidin–HRP is bound to the DNA through biotin incorporated on the aptamer. Excess streptavidin–HRP was removed by washing 4 times with 150 μL of the selection buffer supplemented with 0.05% (v/v) Tween 20 and 0.1% (w/v) BSA. The amount of HRP retained corresponds to the amount of bound aptamer. Quantification of the HRP, hence the bound aptamer, was done by measuring HRP activity using 100 μL of TMB substrate solution. The enzyme reaction was quenched by addition of 100 μL of 2 M H2SO4. Finally the absorbance at 450 nm is measured.

Calculation of the ΔG values

The free energies of formation of the aptamer–AChE complexes were calculated from the experimentally-obtained equilibrium constants. The free energies of hybridization were calculated based on the nearest-neighbor method using the UNAFold.26

Melting temperature measurements

Aptamer solutions of around 15 ng μL−1 were prepared for the melting experiments. The melting temperature measurements were performed using a Perkin-Elmer Lamda 25 with a Peltier for controlling temperature. The temperature was ramped at 0.5 °C per minute and the absorbance was recorded at one minute intervals.

Results and discussion

The aptamer selection against AChE resulted in the following sequence (R15C19); [A with combining low line][A with combining low line][G with combining low line][C with combining low line][A with combining low line][T with combining low line][C with combining low line][C with combining low line][G with combining low line][C with combining low line] [T with combining low line][G with combining low line][G with combining low line][T with combining low line][T with combining low line][G with combining low line][A with combining low line][C with combining low line]TG TAGCTCTGGC AGACGTAGTG TGAAGGTACC AGCTATTGG[G with combining low line] [A with combining low line][T with combining low line][C with combining low line][T with combining low line][T with combining low line][G with combining low line][G with combining low line][A with combining low line][C with combining low line][C with combining low line] [C with combining low line][T with combining low line][G with combining low line][C with combining low line][G with combining low line][A with combining low line][A with combining low line] (primer regions underlined). ELONA binding assays showed R15C19 has a high affinity towards the target, with a Kd value of 174 ± 27 pM (Fig. 1).
image file: c4ra08243e-f1.tif
Fig. 1 Binding data for the full length aptamer is shown by the crosses (Kd = 174 ± 27 pM), the aptamer with the 3′-primer truncation (Δ(3′-primer)) is shown by the squares (Kd = 81 ± 13 pM) and the aptamer with the 5′-primer truncation (Δ(5′-primer)) is shown by the circles. Removing the whole 5′-priming sequence results in a complete loss of affinity The Kd values were calculated by fitting the binding curves to a hyperbolic equation (Langmuir model) using Igor Pro (WaveMetrics).

Truncation of the AChE-binding aptamer

The full length sequence binds AChE with high affinity (Kd = 174 ± 27 pM) as shown in Fig. 1. Truncation of the 3′-priming sequence resulted in no reduction in affinity (Kd = 81 ± 13 pM) whilst removing the 5′-priming sequence caused a complete loss of affinity. This suggests that a part or all of the 5′-priming region is involved in the binding to AChE whilst the 3′-priming region is not. These observations confirmed that a number of nucleotides of the selected aptamer are not required for binding to the target. In order to further refine the sequence, we measured the binding constants of different truncated variants where nucleotides were removed from the 5′- and 3′-ends. The sequences of the truncated variants are listed in the ESI.

As shown in Fig. 2, the affinities of variants with deletion of 18, 26, 27, 29, 35 nucleotides from the 3′-end and 18, 17, 15, 13, 11, 9 nucleotides from 5′-end were determined. The Kd values in Table 1 showed that not only was the entire 3′-priming region not involved in the binding to AChE but also several nucleotides at the 3′-end of the core could also be removed without loss of affinity. Removing 27 nucleotides at the 3′-end, including 9 nucleotides in the core, resulted in no loss of binding affinity suggesting all of these 27 nucleotides do not make any ‘binding contribution’ to the target. However, eliminating a further 3 nucleotides gave a 30-fold loss in affinity whilst removal of an additional 6 nucleotides showed a loss of around 80-fold in affinity indicating that the nucleotides in this region are involved in binding. Truncation studies at the 5′-end showed that removal of up to 15 nucleotides resulted in a complete loss of the binding whilst removal of 13 nucleotides at the 5′-end caused a 3 order of magnitude reduction in binding. Removal of 9 and 11 nucleotides, respectively, resulted in no loss in binding suggesting that 7 nucleotides of the 5′-priming sequence were involved in the binding of the aptamer to the AChE.


image file: c4ra08243e-f2.tif
Fig. 2 Binding curves of the truncated variants to AChE. Truncation (Δ) of a 3′- or a 5′-end and of dual 3′- and 5′-ends. The Kd values were obtained using ELONA. The binding curves were fitted to a hyperbolic equation (Langmuir model) using the Igor Pro.
Table 1 Kd values for different variants of truncation (Δ) and hybridization inhibition (HI). The highlights show the primer regions. The Kd values were obtained using ELONA. The sequences with no detectable binding were indicated as ND whilst the sequences with Kd values that could not be determined by the Langmuir binding model are shown as ND*
Variant Kd (pM)
Truncation (Δ) Hybridization inhibition (HI)
R15C19 (full sequence) 174 ± 27
18at3′ 81 ± 13 186 ± 25
26at3′ 86 ± 8 183 ± 20
27at3′ 102 ± 14 176 ± 20
29at3′ (4.7 ± 0.3) × 103 935 ± 61
35at3′ (12.2 ± 2.4) × 103 (2.3 ± 0.5) × 103
18at5′ ND ND
17at5′ ND ND
15at5′ ND ND*
13at5′ (68.8 ± 4.4) × 103 ND*
11at5′ 285 ± 35 134 ± 11
9at5′ 164 ± 25 164 ± 23
(12at5′) (27at3′) 247 ± 13 178 ± 23
(12at5′) (28at3′) 225 ± 12 302 ± 34
(11at5′) (27at3′) 14 ± 1 187 ± 14
(11at5′) (28at3′) 142 ± 6 219 ± 18
(9at5′)Δ(27at3′) 23 ± 4 172 ± 23


As there were clear differences between the Kd values of truncation of 27 to 29 nucleotides at the 3′-end and 11 to 13 nucleotides at the 5′-end, truncated variants 27, 28 nucleotides at the 3′-end and 11, 12 nucleotides at the 5′-end were then tested to establish the minimal binding sequence.

From the binding data shown in Table 1, it can be seen that the minimal binding sequence comprises 11 nucleotides fewer at the 5′- plus 27 nucleotides fewer at the 3′- ends. This sequence is only just over a half of the length of the sequence that was originally selected (39 nucleotides compared to 77 nucleotides of R15C19) but also has an order of magnitude higher affinity. This will be discussed in more detail later.

Identifying the minimal binding sequence by hybridization inhibition

As previously mentioned identification of the minimal binding sequence has often been achieved through truncation5,19,22 but hybridization inhibition using competitive probes has also been used.23,24 In addition, hybridization inhibition was recently employed for eliminating binding interference of priming regions during SELEX.27 We directly compare, for the first time, the two approaches. Based on the truncation results, a corresponding set of competitive probes for hybridization inhibition were performed to the respective regions of the original aptamer sequence as shown in Fig. 3.
image file: c4ra08243e-f3.tif
Fig. 3 Binding curves of the variants by hybridization inhibition (HI) toward AChE. The complementary probes were used to hybridize with parts of the original aptamer. The Kd values were calculated from binding data obtained using ELONA. The binding curved were fitted to a hyperbolic equation using the Igor Pro.

These probes were designed to hybridize to the 5′-end and the 3′-end. As shown in Table 1, the Kd values for inhibited variants using competitive probes showed a similar pattern in affinities as found with the corresponding truncated variants. Hybridization inhibition using competitive probes for each end as well as both ends of up to 11 nucleotides at the 5′-end and up to 27 nucleotides at the 3′-end yielded Kd values ∼130–190 pM, close to the Kd value (174 pM) of the original sequence, showing these nucleotides do not contribute to the affinity for the target and so allows identification of the minimal binding sequence of the aptamer. This is consistent with the truncation results in indicating those nucleotides are not involved in aptamer-target binding. However truncated sequences generally had higher affinity than hybridisation inhibited sequences in this case. Truncation at both 5′- and 3′- ends shows approximately an order of magnitude higher affinity than the full length aptamer and the hybridized forms. We attribute the higher affinity to the loss of intramolecular hydrogen bonds. That this effect is not seen on the hybridization may be owing to the fact that the 5′- and 3′- ends become much more rigid due to their double stranded nature and that this loss of flexibility leads to increased steric clashes between the ends of the aptamer and the target when the intervening sequence binds to the target. This argument implies that hybridization of inhibitory probes could either increase or decrease affinity depending upon the balance between eliminating unproductive intramolecular hydrogen bonds and increasing steric clashes between the double stranded regions and the target.

Furthermore, with variants where truncation caused loss of binding affinities as in removing of 29 and 35 nucleotides at the 3′-end, hybridization inhibition using the matching competitive probes had Kd values around 5-fold higher. Hybridization inhibition using competitive probes of 18 and 17 nucleotides at the 5′-end showed no binding of the variants to AChE consistent with the truncation results in indicating removal of these nucleotides caused a complete loss in binding affinities. The loss of affinity showed in both truncation and hybridization inhibition indicating the involvement of these nucleotides. The consistency in showing whether or not the nucleotides were involved to the binding of the aptamer and its target by truncation and hybridization inhibition suggests that the latter can also be efficiently used in determining nucleotides that do not contribute to the binding. With competitive probes of 15 and 13 nucleotides at the 5′-end, the data could not be fitted to a simple Langmuir isotherm and therefore no Kd values were obtained.

Effectiveness of the competitive probes for hybridization inhibition

A common design for aptamers used in sensing applications is the so-called aptamer beacon.28–30 In this design the aptamer is incorporated into a stem-loop structure, such that target binding results in disruption of the double stranded stem. Unlike aptamer beacons, in hybridization inhibition, a competitive probe has to have a more stable structure with aptamer than the aptamer-target complex. Thermodynamically, those DNA hybridized complexes should have lower free energy (ΔG) values. Table 2 shows the calculated ΔG values and the derived calculated Kd values of the aptamer-probe complexes. The values were calculated as the hybridization free energy of the probes upon forming double stranded DNA.
Table 2 ΔG values of the probes hybridized with the aptamer regions. The values at 25 °C (298 K) were computed using the UNAFold.26
Competitive probe Sequence Calculated ΔG298,hyb (kcal mol−1) Calculated Kd,hyb (M)
CH(9at5′) AAGCATCCG −11.5 4.2 × 10−9
CH(11at5′) AAGCATCCGCT −15.2 8.4 × 10−12
CH(13at5′) AAGCATCCGCTGG −18.9 1.7 × 10−14
CH(15at5′) AAGCATCCGCTGGTT −21.5 2.2 × 10−16
CH(17at5′) AAGCATCCGCTGGTTGA −24.9 7.2 × 10−19
CH(18at5′) AAGCATCCGCTGGTTGAC −26.3 6.8 × 10−20
CH(18at3′) GATCTTGGACCCTGCGAA −25.6 2.2 × 10−19
CH(23at3′) ATTGGGATCTTGGACCCTGCGAA −33.2 6.4 × 10−25
CH(26at3′) GCTATTGGGATCTTGGACCCTGCGAA −37.9 2.4 × 10−28
CH(29at3′) CCAGCTATTGGGATCTTGGACCCTGCGAA −42.9 5.5 × 10−32
CH(35at3′) AAGGTACCAGCTATTGGGATCTTGGACCCTGCGAA −51.3 4.2 × 10−38


The longer the competitive probe, the more stable the duplex is and therefore the more effective in hybridization inhibition. Hybridization of the original aptamer sequence with the probe of 9 nucleotides at the 5′-end has a calculated Kd value of −4.2 × 10−9 M, which is 25-fold larger than the Kd value of the original aptamer-target binding (174 pM) and therefore should not be effective at inhibiting target binding. Those probes have calculated Kd values for aptamer hybridization significantly lower than the aptamer-target binding's values would be expected to be effective in hybridization inhibition for identifying the minimal binding sequence. As shown in Table 2, hybridization of the 17-nucleotide competitive probe and the full length aptamer has a calculated Kd value of 7.2 × 10−19 M, which is 8 orders of magnitude lower than Kd values of the aptamer-target binding. Our hybridization inhibition results showed binding affinity had a significant reduction with probes of 29 and 35 nucleotides at the 3′-end and a complete loss with probes of 17 and 18 nucleotides at the 5′-end and was consistent with the truncation indicating that they are efficient as the competitive probes.

Finally, with the probes of 13 and 15 nucleotides at the 5′-end where the ELONA data showed evidence of binding whilst the predicted Kd values for hybridization were 2–4 orders of magnitude smaller, we attributed this to uncertainties in the calculation of Kd,hyb. Calculations of the ΔG values of DNA hybridization are known to be different from the experimentally obtained values. For example Breslauer et al. reported variation between neighbour-nearest calculations and calorimetric measurements.31

Improvement in binding affinity of truncated sequences over the full sequence

The truncated aptamer Δ(11at5′)Δ(27at3′) has a Kd = 14 ± 1 pM, which is an order of magnitude lower Kd value than the original aptamer (Kd = 174 ± 27 pM). The decrease in Kd values of the truncated aptamers compared to the longer full length aptamer has been reported before. Examples include a truncated DNA aptamer for VEGF that had over 200-fold lower Kd value compared to its parental sequence11 and a 4-fold decrease in Kd for a truncated RNA aptamer against human α-thrombin.32

Some studies have attributed reduced steric hindrance as the reason for the improvement of the truncated aptamers compared to their parental sequences21,33 and this is not unexpected as reducing the size of the aptamers wold give less opportunity for steric clashes. However, apart from the effect of steric hindrance, it could be that the difference in free energy of binding of truncated versus the full length aptamers is due to unproductive intra-molecular interactions in the latter which would have to be broken to form productive inter-molecular interactions in the aptamer-target complexes as aptamers have been known to undergo conformational changes upon binding to their targets. To estimate the extent of intramolecular base pairing we determined the melting temperatures of the R15C19 and the truncated derivative Δ(11at5′)Δ(27at3′) that has over an order of magnitude higher affinity for AChE. The predicted structures of these aptamers and the melting curves are shown in Fig. 4.


image file: c4ra08243e-f4.tif
Fig. 4 Melting curves along with predicted structures of the full length R15C19 aptamer and its truncated version Δ(11at5′)Δ(27at3′). The predicted structures and the computational ΔG values were obtained using MFold.34

The extensive hydrogen bonded stem predicted for the full length sequence is predicted to be absent in the truncated form potentially allowing the latter to more readily interact with the AChE. It is worth noting that most of one strand of the stem is the 3′-priming sequence. The full length aptamer had a melting temperature of 87.6 °C compared to a melting temperature of 66.4 °C for the truncated aptamer, consistent with the greater degree of intramolecular base stacking in the former as predicted by the structures. In addition, calculations based on the changes in absorbance over DNA denaturation suggested that R15C19 had 57% of its nucleotides in single stranded state at the lower plateau temperatures (before melting) compared to 76% for the truncated aptamer Δ(11at5′)Δ(27at3′).

Conclusions

A 77-nucleotide DNA aptamer was selected against AChE with and a Kd value of 174 ± 27 pM and when truncated to 39 nucleotides it had over one order of magnitude lower Kd value (14 ± 1 pM). Truncation revealed that part of the 5′- primer sequence was involved in binding but the 3′-primer sequence along with 9 adjacent nucleotides in the core region could be removed without loss of affinity. Using this high affinity aptamer, we studied the effect of both truncation and hybridization inhibition using competitive probes on the target's affinity. The experimental data showed that when suitable complementary competitive probes were chosen, hybridization inhibition could be used to identify the nucleotides that do not contribute to the binding of the aptamer and the target and with the added advantage of needing only short probe sequences. We used free energy calculations in guiding the design of the probes. Our data also support the idea that apart from steric hindrance, a significant contribution to the improvement in Kd values of truncated aptamers is due to eliminating unproductive intra-molecular interactions.

Acknowledgements

AEGC and TTL wish to thank BBSRC for funding support and OC would like to thank the Royal Thai government for her PhD scholarship.

References

  1. S. Silverman, in Functional Nucleic Acids for Analytical Applications, ed. L.Yingfu and L. Yi, Springer, New York, 2009, pp. 47–108 Search PubMed.
  2. Z. Huang and J. W. Szostak, RNA, 2003, 9, 1456–1463 CrossRef CAS.
  3. M. Cowperthwaite and A. Ellington, J. Mol. Evol., 2008, 67, 95–102 CrossRef CAS PubMed.
  4. L. C. Bock, L. C. Griffin, J. A. Latham, E. H. Vermaas and J. J. Toole, Nature, 1992, 355, 564–566 CrossRef CAS PubMed.
  5. J. Ruckman, L. S. Green, J. Beeson, S. Waugh, W. L. Gillette, D. D. Henninger, L. Claesson-Welsh and N. Janjic, J. Biol. Chem., 1998, 273, 20556–20567 CrossRef CAS PubMed.
  6. E. W. M. Ng, D. T. Shima, P. Calias, E. T. Cunningham, D. R. Guyer and A. P. Adamis, Nat. Rev. Drug Discovery, 2006, 5, 123–132 CrossRef CAS PubMed.
  7. S. Hoon, B. Zhou, K. D. Janda, S. Brenner and J. Scolnick, BioTechniques, 2011, 51, 413–416 CrossRef CAS PubMed.
  8. D. Sussman, J. C. Nix and C. Wilson, Nat. Struct. Biol., 2000, 7, 53–57 CrossRef CAS PubMed.
  9. S. D. Jayasena, Clin. Chem., 1999, 45, 1628–1650 CAS.
  10. J. Zhou, M. Battig and Y. Wang, Anal. Bioanal. Chem., 2010, 398, 2471–2480 CrossRef CAS PubMed.
  11. H. Kaur and L.-Y. L. Yung, PLoS One, 2012, 7, e31196 CAS.
  12. A. D. Keefe, S. Pai and A. Ellington, Nat. Rev. Drug Discovery, 2010, 9, 537–550 CrossRef CAS PubMed.
  13. J. C. Cox, A. Hayhurst, J. Hesselberth, T. S. Bayer, G. Georgiou and A. D. Ellington, Nucleic Acids Res., 2002, 30, 108e CrossRef PubMed.
  14. W. Yoshida, E. Mochizuki, M. Takase, H. Hasegawa, Y. Morita, H. Yamazaki, K. Sode and K. Ikebukuro, Biosens. Bioelectron., 2009, 24, 1116–1120 CrossRef CAS PubMed.
  15. D. E. Huizenga and J. W. Szostak, Biochemistry, 1995, 34, 656–665 CrossRef CAS.
  16. D. H. Burke and L. Gold, Nucleic Acids Res., 1997, 25, 2020–2024 CrossRef CAS PubMed.
  17. W. O. Tucker, K. T. Shum and J. A. Tanner, Curr. Pharm. Des., 2012, 18, 2014–2026 CrossRef CAS.
  18. A. K. Dey, C. Griffith, S. M. Lea and W. James, RNA, 2005, 11, 873–884 CrossRef CAS PubMed.
  19. S. E. Lupold, B. J. Hicke, Y. Lin and D. S. Coffey, Cancer Res., 2002, 62, 4029–4033 CAS.
  20. A. Berezhnoy, C. A. Stewart, J. O. McNamara Ii, W. Thiel, P. Giangrande, G. Trinchieri and E. Gilboa, Mol. Ther., 2012, 20, 1242–1250 CrossRef CAS PubMed.
  21. W. M. Rockey, F. J. Hernandez, S. Y. Huang, S. Cao, C. A. Howell, G. S. Thomas, X. Y. Liu, N. Lapteva, D. M. Spencer, J. O. McNamara, X. Zou, S. J. Chen and P. H. Giangrande, Nucleic Acid Ther., 2011, 21, 299–314 CrossRef CAS PubMed.
  22. R. Jenison, S. Gill, A. Pardi and B. Polisky, Science, 1994, 263, 1425–1429 CAS.
  23. S. Shigdar, L. Qiao, S.-F. Zhou, D. Xiang, T. Wang, Y. Li, L. Y. Lim, L. Kong, L. Li and W. Duan, Cancer Lett., 2013, 330, 84–95 CrossRef CAS PubMed.
  24. J. Zhou, B. Soontornworajit, M. P. Snipes and Y. Wang, J. Mol. Recognit., 2011, 24, 119–126 CrossRef CAS PubMed.
  25. O. Chumphukam, T. Le and A. Cass, Molecules, 2014, 19, 4986–4996 CrossRef CAS PubMed.
  26. N. Markham and M. Zuker, in Bioinformatics, ed. J.Keith, Humana Press, 2008, pp. 3–31 Search PubMed.
  27. E. Ouellet, E. T. Lagally, K. C. Cheung and C. A. Haynes, Biotechnol. Bioeng., 2014, 111, 2265 CrossRef CAS PubMed.
  28. B. Hall, S. Cater, M. Levy and A. D. Ellington, Biotechnol. Bioeng., 2009, 103, 1049–1059 CrossRef CAS PubMed.
  29. E. J. Cho, J.-W. Lee and A. D. Ellington, Annu. Rev. Anal. Chem., 2009, 2, 241–264 CrossRef CAS PubMed.
  30. N. Hamaguchi, A. Ellington and M. Stanton, Anal. Biochem., 2001, 294, 126–131 CrossRef CAS PubMed.
  31. K. J. Breslauer, R. Frank, H. Blöcker and L. A. Marky, Proc. Natl. Acad. Sci. U. S. A., 1986, 83, 3746–3750 CrossRef CAS.
  32. M. F. Kubik, A. W. Stephens, D. Schneider, R. A. Marlar and D. Tasset, Nucleic Acids Res., 1994, 22, 2619–2626 CrossRef CAS PubMed.
  33. O. S. Kolovskaya, A. G. Savitskaya, T. N. Zamay, I. T. Reshetneva, G. S. Zamay, E. N. Erkaev, X. Wang, M. Wehbe, A. B. Salmina, O. V. Perianova, O. A. Zubkova, E. A. Spivak, V. S. Mezko, Y. E. Glazyrin, N. M. Titova, M. V. Berezovski and A. S. Zamay, J. Med. Chem., 2013, 56, 1564–1572 CrossRef CAS PubMed.
  34. M. Zuker, Nucleic Acids Res., 2003, 31, 3406–3415 CrossRef CAS PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra08243e

This journal is © The Royal Society of Chemistry 2014
Click here to see how this site uses Cookies. View our privacy policy here.