Ultra-highly selective recognition of nucleosides over nucleotides by rational modification of tetralactam macrocycle and its application in enzyme assay

Huan Yao Jian Qin Yan-Fang Wang Song-Meng Wang Liu-Huan Yi Shi-Yao Li Fangfang Du Liu-Pan Yang Li-Li Wang

Citation:  Huan Yao, Jian Qin, Yan-Fang Wang, Song-Meng Wang, Liu-Huan Yi, Shi-Yao Li, Fangfang Du, Liu-Pan Yang, Li-Li Wang. Ultra-highly selective recognition of nucleosides over nucleotides by rational modification of tetralactam macrocycle and its application in enzyme assay[J]. Chinese Chemical Letters, 2024, 35(6): 109154. doi: 10.1016/j.cclet.2023.109154 shu

Ultra-highly selective recognition of nucleosides over nucleotides by rational modification of tetralactam macrocycle and its application in enzyme assay

English

  • Selective recognition of biomolecules in water is the foundation of numerous biological functions and thus lies at the heart of biochemistry [1-4]. Artificial macrocycle receptors with high selectivity in water is rare but urgently needed in various research and application areas [5-11]. However, it is challenging for artificial macrocycles to achieve high selectivity in water [12-14]. Synthetic hosts generally suffer from low binding selectivity in aqueous environments, particularly for hydrophilic molecules [15-17]. The bioreceptors display excellent selectivity for biomolecules due to their unique structural feature of deep hydrophobic cavity containing polar binding sites. Inspired by the structure of bioreceptors, Jiang group developed a series of endo-functionalized naphthotubes and realized the selective recognition of hydrophilic molecules in water recently [18-22]. The inward-directed functional groups endow the corresponding naphthotubes with unique recognition abilities and provide the basis for their applications in sensing, assembly, molecular machines and so on [23-32].

    Due to the excellent recognition property of biomimetic naphthotubes, the design concept was further extended to other water-soluble macrocycle with diverse skeleton. A water-soluble tetralactam macrocycle (H1) with 2,6-diethoxynaphthalene as sidewalls was reported by Jiang and our group in 2021 [33]. The tetralactam macrocycle has a slightly wider cavity and more hydrogen bond sites than naphthotubes, which makes it more suitable for binding the guests with larger size and more polar sites. For example, the as-synthesized biomimetic tetralactam macrocycle H1 could recognize riboflavin in water through the synergistic effect of hydrogen bonding and hydrophobic effect, resulting in strong binding (Ka > 107 L/mol) and thus enhancement of the photostability of riboflavin. Very recently, a novel dual-mode colorimetric and fluorescence indicator displacement assay (IDA) based sensor was constructed using H1 for urinary uric acid detection [34]. The abundant hydrogen bonding sites and cavity endow the tetralactam macrocycle with excellent selective recognition capacity [35].

    These biomimetic hosts possess remarkable recognition properties in water owning to their unique cavity, but the charged tail chain serves mainly to enhance their solubility in water. It is possible to leverage this feature to further improve the binding constants and selectivity. Davis's group revealed that the charged side chains in the bisanthracenyl receptors can indeed be tuned to enhance binding properties and adjust selectivity [36]. However, the dendritic side chains located on the benzene group, are a little far away from the entrance of the cavity. We speculate that the binding strength and selectivity should be further increased if the rationally designed groups located near the entrance of the cavity.

    For this purpose, the water-soluble tetralactam macrocycle H1 was reconstructed due to the side chains on the naphthalenes could be easily modified. Four ethyl groups on naphthalenes were replaced by carboxyl groups to obtain macrocycle H2 (Fig. 1). The introduction of charged chains near the entrance of macrocycle cavity realized the high affinity and ultra-high selectivity (up to 1119) for biomolecule through the synergistic effect of endo-functionalized cavity and charged chains. Subsequently, the enzyme assay was performed based on the selective recognition property of H2.

    Figure 1

    Figure 1.  (a) Chemical structures of tetralactam macrocycle H1 and H2, and relevant nucleotides and nucleosides in this work. (b) Schematic illustration of the highly selective recognition of H2.

    As similar to H1, the new tetralactam macrocycle H2 can be readily synthesized from commercial 2,6-dihydroxynaphthalene and 1,3,5-benzenetricarboxylic acid (Scheme S1 in Supporting information). The TFA salt of diamine was synthesized in five simple steps with a total yield of 34% and active ester was obtained following the reported procedure [33]. Amide coupling under a pseudo-high-dilution condition was implemented for the cyclization of macrocycle. Then the deprotection procedure was performed to obtain the final water-soluble biomimetic tetralactam host H2. The structure of H2 was confirmed by NMR spectroscopy and high-resolution mass spectrometry (Supporting information). With charged carboxylate groups on the naphthalenes and benzene, the new biomimetic tetralactam host shows good water solubility.

    Tetralactam macrocycle has been proven to be an effective receptor for polar aromatic compounds, including biogenic purine and its analogues [37,38]. Nucleosides and nucleotides are important biomolecules and the hydrolysis of nucleotides to nucleosides is a ubiquitous process in organisms [39]. The highly selective recognition of nucleosides and corresponding nucleotides has important scientific significance and broad application prospects. The differences in hydrophilicity and charge for nucleotides and nucleosides may result in the different binding strength to tetralactam macrocycle, which has dendritic negative charged side chain. We speculate that H2 may display higher selectivity than H1 due to the additional charged chains near the entrance of the cavity.

    The binding ability of H1 and H2 to purine nucleosides and corresponding monophosphate nucleotides was first tested by 1H NMR spectra. As shown in Fig. 2 and Figs. S1–S3 (Supporting information), the 1H NMR peaks of host (H1 and H2) and guest (adenosine (A) and guanosine (G)) all undergo significant shifts after mixing with a 1:1 ratio. In contrast, no obvious or slight shift was observed for corresponding monophosphate, adenosine 5′-monophosphate (AMP) and guanosine 5′-monophosphate (GMP), demonstrating the much weaker binding affinity of monophosphate nucleotides to tetralactam macrocycles than corresponding purine nucleosides.

    Figure 2

    Figure 2.  Partial 1H NMR spectra (500 MHz, D2O, 0.50 mmol/L, 25 ℃) of GMP, a 1:1 mixture of GMP and H2, H2, a 1:1 mixture of G and H2, and G.

    To quantify the binding constants between hosts and guests and further reveal the driving force, isothermal titration microcalorimetry (ITC) titrations were performed to measure the binding parameters (Figs. S4-S8 in Supporting information). However, the binding constant of three host-guest pairs (H1-AMP, H2-AMP, H2-GMP) could not be determined by ITC titrations due to the low heat release, indicating a weak binding. The binding constants for all eight host-guest pairs were then calculated by UV–vis titration (Figs. S9–S16 in Supporting information). The binding data and calculated selectivity were listed in Table 1. ITC data revealed that enthalpy contributes to the efficient binding while entropy is adverse. This suggests that hydrogen bonding and releasing high-energy water contribute significantly to the binding energy [12,40]. The n values are close to 1, suggesting a 1:1 binding stoichiometry ratio. According to the titration results of UV–vis method, the biomimetic hosts H1 and H2 all display excellent selectivity to purine nucleosides over corresponding monophosphate nucleotides. The selectivity of H1 is mainly driven by the difference in guest dehydration energy: nucleotides have a much larger desolvation energy in water than corresponding nucleosides, so binding the more hydrophilic nucleotides has a greater desolvation penalty. Moreover, electrostatic repulsion between the negatively charged dendritic groups of H1 with nucleotides may also contribute to the selectivity. As expected, the selective factors of H2 are further enhanced to surpass 800, which are much higher than that of H1 due to the enhanced charge repulsion effect which bring by the negative groups at the entrance of the cavity. The excellent selectivity of H2 is comparable to bioreceptor. These results demonstrate that the rational design of biomimetic macrocycle would result in significantly improved binding strength and selectivity.

    Table 1

    Table 1.  Association constants (Ka, L/mol) and thermodynamic parameters (ΔG°, ΔH°, -TΔS°, kJ/mol) of H1 and H2 with purine nucleosides and corresponding monophosphate nucleotides in water at 25 ℃ as determined by ITC titration and UV–vis titration.
    DownLoad: CSV

    In order to reveal the better binding affinity and the ultra-high selectivity of purine nucleosides over monophosphate nucleotides, DFT calculations were performed. As shown in Fig. 3a, the guanine base was comfortably encapsulated inside the cavity for G@H2. Hydrogen bonds are detected between the carbonyl oxygen atoms of guanine and the NH protons of the hosts, and close contacts suggest that π···π interactions are also involved in the complex formation. In addition, the carboxyl chain of H2 formed multiple hydrogen bonds with the ribose and purine base of guanosine, which could explain the slightly enhanced binding constant compared with H1. For GMP@H2 (Fig. 3b), though the host remaining captures the guanine base through multiple hydrogen bonds, the strong electrostatic repulsion between the phosphoric acid group of GMP with the carboxyl chains of H2 would decrease the stability of the complex. For G/GMP with tetralactam macrocycle H1, the noncovalent interaction force in cavity was similar to that of H2, but no additional interaction was seen between the ethyl groups and guests (Figs. S17 and S18 in Supporting information). The synergistic effect of large desolvation penalty and enhanced charge repulsion effect result in a much lower binding constant for monophosphate nucleotides with H2.

    Figure 3

    Figure 3.  Energy-minimized structures of (a) G@H2 and (b) GMP@H2 obtained by DFT (ωB97XD/6–31G(d,p)) calculations with the SMD solution model in water.

    Dephosphorylation is an important process in controlling a wide range of biological activities [41]. The dephosphorylation of nucleotides was controlled by ecto-5′-nucleotidase (CD73), a membrane-bound enzyme which could hydrolyze nucleoside-5-monophosphates yielding the respective nucleoside and phosphate [42,43]. CD73 is also one of the emerging targets for cancer immunotherapy and serves as a crucial metabolic and immune checkpoint [44,45]. Elevated CD73 levels in the tumor tissue are linked to poor patient survival. Therefore, the development of a simple, rapid and sensitive method to evaluate the enzymatic activity of CD73 is urgently required [46].

    Based on the ultra-high selective recognition capacity of macrocycle H2, the substrate-selective indicator displacement assay (IDA) strategy could be exploited for CD73 enzyme activity assay [47-49]. To develop the supramolecular tandem assays for the enzyme function of CD73 based on H2, a suitable fluorescent dye must be selected as the signal report unit. According to our previous report, phenoxazine dyes were ideal indicators to construct IDA sensors with tetralactam macrocycle due to their obvious change of fluorescence intensity in and out of the cavity and moderate binding constant. In this research, toloniumchloride (TC) dye was selected as the fluorescence indicator for enzyme activity assay. The constructed IDA for CD73 could be demonstrated as a product-selective assay (Fig. 4). TC dye formed a strong inclusion complex with H2, which showed much weaker fluorescence intensity compared with free TC. Moreover, the substrate GMP had a low affinity to H2 and caused negligible interference with the TC@H2 complex. The CD73 enzyme could hydrolyze the phosphoester bond of GMP and generate G product, a much stronger competitor which displaced TC from the macrocycle and resulted in a fluorescence recovery. The CD73 activity could be monitored by the switch-on fluorescence response of TC.

    Figure 4

    Figure 4.  Schematic illustration of CD73 activity monitoring with a switch-on fluorescence response by TC@H2 reporter pair.

    The fluorescence intensity of TC decreases gradually with the addition of H2. The Ka was determined as 4.2 × 105 L/mol (Fig. S19 in Supporting information) by the nonlinear fitting of fluorescence titration. At the same time, the Ka was also calculated by UV–vis titration and gave a value of 6.3 × 105 L/mol (Fig. S20 in Supporting information), which was comparable to G with H2. To construct the sensitive fluorescence IDA sensor, the concentration of TC and H2 were set to 1 and 9 µmol/L, respectively, which was shown to be significant signal change and highly sensitive according to our previous research [34]. The optical responses of the TC@H2 complexes to G and GMP were further studied. The fluorescence of TC shows obvious recovery with the addition of G while keeping invariable with the addition of GMP in water at 25 ℃ (Fig. S21 and S22 in Supporting information). As a control experiment, the fluorescence titrations of H2 alone with guest G and GMP were performed. No obvious fluorescence was observed for H2 alone and keeping invariable with the gradual addition of guest (Fig. S23 in Supporting information).

    Though the elevated temperature and buffer solution result in the decreased binding strength to 3.3 × 105 L/mol between H2 and guest (Fig. S24 in Supporting information), the TC@H2 pair still displays remarkable differentiated fluorescence response, which makes the possibility to construct the IDA sensing system for CD73 activity (Fig. S25 in Supporting information). Prior to the enzyme assay, the effect of H2 on the activity of CD73 was also investigated. As CD73 can catalyze the degradation of GMP into free inorganic phosphate, the CD73 enzymatic activity could be monitored by assaying the concentration of inorganic phosphate based on the Malachite green phosphate assay [50]. The results show that the macrocycle H2 has no obvious effect on the absorption intensity at 620 nm, which is correlated with the concentration of free inorganic phosphate (Fig. S26 in Supporting information). There was no obvious effect of H2 on the activity of CD73.

    In fact, the CD73 assay worked as designed and showed the expected response of the fluorescence on the activity of the enzyme with fixed GMP concentration (Fig. S27 in Supporting information). For the measurement of enzyme kinetic parameters, a range of substrate concentrations was used to monitor the enzyme kinetics (Fig. 5a). According to the Michaelis-Menten model, the data was fitted and gave a KM value of 3.1 ± 0.2 µmol/L (Fig. 5b), which was in agreement with the literature value [46].

    Figure 5

    Figure 5.  (a) Determination of the KM value by monitoring CD73 (0.3 µg/mL) activity with various concentrations of GMP (7.5–30 µmol/L) in the presence of TC@H2 reporter pair (1/9 µmol/L, λex = 610 nm, λem = 660 nm). The experiments were performed in Tris–HCl buffer (25 mmol/L, pH 7.4) containing 0.25 mmol/L MgCl2 (activator of CD73 activity) at 37 ℃. (b) The Lineweaver-Burk plot for CD73.

    After successfully verifying the effectiveness of TC@H2 as a sensor for detecting CD73 activity, we further evaluated its potential as a screening tool for enzyme inhibitors, a crucial aspect of drug candidate assessment. Adenosine diphosphate (ADP) and adenosine triphosphate (ATP), two different types of CD73 inhibitors were selected as samples to investigate the screening ability of IDA sensing system. ADP and ATP showed negligible effect to the fluorescence of TC dye and TC@H2 reporter pair (Figs. S28 and S29 in Supporting information), demonstrating the weak binding of inhibitors with H2. These compounds caused an obvious inhibition of CD73 activity, and a decrease of CD73 activity was displayed with the gradual increasing concentrations of ADP and ATP, which could be observed in a sharp decrease in the initial conversion rates of GMP (Fig. 6 and Fig. S30 in Supporting information). The IC50 of ADP and ATP against CD73 was calculated to be 7.5 ± 0.9 µmol/L and 3.6 ± 0.5 µmol/L, respectively.

    Figure 6

    Figure 6.  (a) Continuous fluorescent assay for CD73 activity inhibition by ADP (0.01–1000 µmol/L) with the TC@H2 reporter pair (1/9 µmol/L, λex = 610 nm, λem = 660 nm), CD73 (0.3 µg/mL) and GMP (20 µmol/L). (b) Dose-response curve and associated plot analysis for CD73 activity inhibition by ADP. The experiments were performed in Tris–HCl buffer (25 mmol/L, pH 7.4) containing 0.25 mmol/L MgCl2 (activator of CD73 activity) at 37 ℃.

    In summary, we reported a new biomimetic tetralactam macrocycle (H2) with high binding selectivity through the synergetic effect of endo-functionalized cavity and enhanced charge repulsion effect. The selectivity of H2 to nucleoside and corresponding nucleotide is up to 1119, which is much higher than H1, and is comparable to bioreceptor. The charged chains at the entrance of the cavity are responsible for the improved selectivity. This research provides an example of the rational design of macrocycle to enhance binding selectivity in water. Furthermore, a fluorescence IDA-based sensing assay for enzyme activity detection was successfully constructed based on H2 and TC dye. The ability of this method for enzyme inhibitors screening was also displayed. We anticipate that this design strategy will stimulate the development of other synthetic receptors featuring outstanding properties.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    This research was financially supported by National Natural Science Foundation of China (Nos. 22174059 and 22201128), Hunan Provincial Natural Science Foundation of China (Nos. 2022JJ40363, 2022JJ40365 and 2022RC1230), the Excellent youth funding of Hunan Provincial Education Department (No. 22B0460), and China Postdoctoral Science Foundation (No. 2022M721542).

    Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.cclet.2023.109154.


    1. [1]

      L. Escobar, P. Ballester, Chem. Rev. 121 (2021) 2445–2514. doi: 10.1021/acs.chemrev.0c00522

    2. [2]

      P.C. Weber, D.H. Ohlendorf, J.J. Wendoloski, et al., Science 243 (1989) 85–88. doi: 10.1126/science.2911722

    3. [3]

      W. Liu, S.K. Samanta, B.D. Smith, et al., Chem. Soc. Rev. 46 (2017) 2391–2403. doi: 10.1039/C7CS00011A

    4. [4]

      J. Wang, L. Zhou, J. Bei, et al., J. Colloid Interface Sci. 620 (2022) 187–198. doi: 10.1016/j.jcis.2022.04.014

    5. [5]

      B.D. Smith, Synthetic Receptors for Biomolecules, Royal Society of Chemistry, London, UK, 2015.

    6. [6]

      H.J. Schneider, A.K. Yatsimirsky, Chem. Soc. Rev. 37 (2008) 263–277. doi: 10.1039/B612543N

    7. [7]

      L. Catti, R. Sumida, M. Yoshizawa, Coord. Chem. Rev. 460 (2022) 214460. doi: 10.1016/j.ccr.2022.214460

    8. [8]

      S.L. Li, T. Xiao, C. Lin, et al., Chem. Soc. Rev. 41 (2012) 5950–5968. doi: 10.1039/c2cs35099h

    9. [9]

      Y.L. Ma, S. Yan, X.J. Xu, et al., Chin. Chem. Lett. 35 (2024) 108645. doi: 10.1016/j.cclet.2023.108645

    10. [10]

      J. Wang, M. Cen, J. Wang, et al., Chin. Chem. Lett. 33 (2022) 1475–1478. doi: 10.3390/sym14071475

    11. [11]

      J. Wang, J. Bei, X. Guo, et al., Biosens. Bioelectron. 208 (2022) 114220. doi: 10.1016/j.bios.2022.114220

    12. [12]

      H. Yao, H. Ke, X. Zhang, et al., J. Am. Chem. Soc. 140 (2018) 13466–13477. doi: 10.1021/jacs.8b09157

    13. [13]

      K. Yazaki, Y. Sei, M. Akita, et al., Nat. Commun. 5 (2014) 5179. doi: 10.1038/ncomms6179

    14. [14]

      W. Liu, A. Johnson, B.D. Smith, J. Am. Chem. Soc. 140 (2018) 3361–3370. doi: 10.1021/jacs.7b12991

    15. [15]

      L.P. Yang, X. Wang, H. Yao, et al., Acc. Chem. Res. 53 (2020) 198–208. doi: 10.1021/acs.accounts.9b00415

    16. [16]

      E. Persch, O. Dumele, F. Diederich, Angew. Chem. Int. Ed. 54 (2015) 3290–3327. doi: 10.1002/anie.201408487

    17. [17]

      C.D. Zhao, H. Yao, S.Y. Li, et al., Chin. Chem. Lett. 35 (2024) 108879. doi: 10.1016/j.cclet.2023.108879

    18. [18]

      G.B. Huang, S.H. Wang, H. Ke, et al., J. Am. Chem. Soc. 138 (2016) 14550–14553. doi: 10.1021/jacs.6b09472

    19. [19]

      L.L. Wang, Z. Chen, W.E. Liu, et al., J. Am. Chem. Soc. 139 (2017) 8436–8439. doi: 10.1021/jacs.7b05021

    20. [20]

      X. Huang, X. Wang, M. Quan, et al., Angew. Chem. Int. Ed. 60 (2021) 1929–1935. doi: 10.1002/anie.202012467

    21. [21]

      X. Wang, M. Quan, H. Yao, et al., Nat. Commun. 13 (2022) 2291. doi: 10.24963/ijcai.2022/318

    22. [22]

      H. Zhou, X.Y. Pang, X. Wang, et al., Angew. Chem. Int. Ed. 60 (2021) 25981–25987. doi: 10.1002/anie.202112267

    23. [23]

      L.L. Wang, M. Quan, T.L. Yang, et al., Angew. Chem. Int. Ed. 59 (2020) 23817–23824. doi: 10.1002/anie.202011566

    24. [24]

      H. Ke, L.P. Yang, M. Xie, et al., Nat. Chem. 11 (2019) 470–477. doi: 10.1038/s41557-019-0235-8

    25. [25]

      Z. Chen, M. Quan, Y.W. Dong, et al., Chem. Commun. 58 (2022) 9413–9416. doi: 10.1039/d2cc03270h

    26. [26]

      L.M. Bai, H. Zhou, W.E. Liu, et al., Chem. Commun. 55 (2019) 3128–3131. doi: 10.1039/c9cc00762h

    27. [27]

      W.E. Liu, Z. Chen, L.P. Yang, et al., Chem. Commun. 55 (2019) 9797–9800. doi: 10.1039/c9cc04603h

    28. [28]

      L.S. Zheng, J.S. Cui, W. Jiang, Angew. Chem. Int. Ed. 58 (2019) 15136–15141. doi: 10.1002/anie.201910318

    29. [29]

      W. Liu, L. Kong, M. Quan, et al., Chin. Chem. Lett. 33 (2022) 4896–4899. doi: 10.1016/j.cclet.2022.02.076

    30. [30]

      Q. Shi, L. Cao, Y. Chen, et al., Chin. Chem. Lett. 34 (2023) 108138. doi: 10.1016/j.cclet.2023.108138

    31. [31]

      L.P. Yang, H. Ke, H. Yao, et al., Angew. Chem. Int. Ed. 60 (2021) 21404–21411. doi: 10.1002/anie.202106998

    32. [32]

      Y.L. Ma, C. Sun, Z. Li, et al., CCS Chem. 4 (2022) 1977–1989. doi: 10.31635/ccschem.021.202101178

    33. [33]

      H. Zhang, L.L. Wang, X.Y. Pang, et al., Chem. Commun. 57 (2021) 13724–13727. doi: 10.1039/d1cc05818e

    34. [34]

      H. Yao, S.Y. Li, H. Zhang, et al., Chem. Commun. 59 (2023) 5411–5414. doi: 10.1039/d2cc06622j

    35. [35]

      S.Y. Li, H. Yao, H. Hu, et al., Chem. Commun. 59 (2023) 7204–7207. doi: 10.1039/d3cc01164j

    36. [36]

      H. Destecroix, C.M. Renney, T.J. Mooibroek, et al., Angew. Chem. Int. Ed. 54 (2015) 2057–2061. doi: 10.1002/anie.201409124

    37. [37]

      D. Van Eker, S.K. Samanta, A.P. Davis, Chem. Commun. 56 (2020) 9268–9271. doi: 10.1039/d0cc03609a

    38. [38]

      A.P. Davis, Chem. Soc. Rev. 49 (2020) 2531–2545. doi: 10.1039/c9cs00391f

    39. [39]

      F. Di Virgilio, E. Adinolfi, Oncogene 36 (2017) 293–303. doi: 10.1038/onc.2016.206

    40. [40]

      F. Biedermann, W.M. Nau, H.J. Schneider, Angew. Chem. Int. Ed. 53 (2014) 11158–11171. doi: 10.1002/anie.201310958

    41. [41]

      F. Ardito, M. Giuliani, D. Perrone, et al., Int. J. Mol. Med. 40 (2017) 271–280. doi: 10.3892/ijmm.2017.3036

    42. [42]

      H. Castrop, Y. Huang, S. Hashimoto, et al., J. Clin. Invest. 114 (2004) 634–642. doi: 10.1172/JCI21851

    43. [43]

      M.V. Sorensen, S. Grossmann, M. Roesinger, et al., Kidney Int. 83 (2013) 811–824. doi: 10.1038/ki.2013.14

    44. [44]

      J. Stagg, U. Divisekera, N. McLaughlin, et al., Proc. Natl. Acad. Sci. U. S. A. 107 (2010) 1547–1552. doi: 10.1073/pnas.0908801107

    45. [45]

      B. Allard, S. Pommey, M.J. Smyth, et al., Clin. Cancer Res. 19 (2013) 5626–5635. doi: 10.1158/1078-0432.CCR-13-0545

    46. [46]

      M. Freundlieb, H. Zimmermann, C.E. Muller, Anal. Biochem. 446 (2014) 53–58.

    47. [47]

      W.M. Nau, G. Ghale, A. Hennig, et al., J. Am. Chem. Soc. 131 (2009) 11558–11570. doi: 10.1021/ja904165c

    48. [48]

      Z. Zheng, S. Ren, W.C. Geng, et al., Chem. Asian J. 17 (2022) e202200106.

    49. [49]

      D.S. Guo, J. Yang, Y. Liu, Chem. Eur. J. 19 (2013) 8755–8759. doi: 10.1002/chem.201300980

    50. [50]

      B. Allard, I. Cousineau, K. Spring, et al., Methods Enzymol. 629 (2019) 269–289.

  • Figure 1  (a) Chemical structures of tetralactam macrocycle H1 and H2, and relevant nucleotides and nucleosides in this work. (b) Schematic illustration of the highly selective recognition of H2.

    Figure 2  Partial 1H NMR spectra (500 MHz, D2O, 0.50 mmol/L, 25 ℃) of GMP, a 1:1 mixture of GMP and H2, H2, a 1:1 mixture of G and H2, and G.

    Figure 3  Energy-minimized structures of (a) G@H2 and (b) GMP@H2 obtained by DFT (ωB97XD/6–31G(d,p)) calculations with the SMD solution model in water.

    Figure 4  Schematic illustration of CD73 activity monitoring with a switch-on fluorescence response by TC@H2 reporter pair.

    Figure 5  (a) Determination of the KM value by monitoring CD73 (0.3 µg/mL) activity with various concentrations of GMP (7.5–30 µmol/L) in the presence of TC@H2 reporter pair (1/9 µmol/L, λex = 610 nm, λem = 660 nm). The experiments were performed in Tris–HCl buffer (25 mmol/L, pH 7.4) containing 0.25 mmol/L MgCl2 (activator of CD73 activity) at 37 ℃. (b) The Lineweaver-Burk plot for CD73.

    Figure 6  (a) Continuous fluorescent assay for CD73 activity inhibition by ADP (0.01–1000 µmol/L) with the TC@H2 reporter pair (1/9 µmol/L, λex = 610 nm, λem = 660 nm), CD73 (0.3 µg/mL) and GMP (20 µmol/L). (b) Dose-response curve and associated plot analysis for CD73 activity inhibition by ADP. The experiments were performed in Tris–HCl buffer (25 mmol/L, pH 7.4) containing 0.25 mmol/L MgCl2 (activator of CD73 activity) at 37 ℃.

    Table 1.  Association constants (Ka, L/mol) and thermodynamic parameters (ΔG°, ΔH°, -TΔS°, kJ/mol) of H1 and H2 with purine nucleosides and corresponding monophosphate nucleotides in water at 25 ℃ as determined by ITC titration and UV–vis titration.

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  • 发布日期:  2024-06-15
  • 收稿日期:  2023-06-29
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