Abstract
Binding of Mg2+, Ca2+ and Co(NH3)63+ ions to the HIV-1 TAR RNA in solution was analysed by 19F NMR spectroscopy, metal ion-induced RNA cleavages and Brownian dynamics (BD) simulations. Chemically synthesised 29mer oligoribonucleotides of the TAR sequence labelled with 5-fluorouridine (FU) were used for 19F NMR-monitored metal ion titration. The chemical shift changes of fluorine resonances FU-23, FU-25 and FU-40 upon titration with Mg2+ and Ca2+ ions indicated specific, although weak, binding at the bulge region with the dissociation constants (Kd) of 0.9 ± 0.6 and 2.7 ± 1.7 mM, respectively. Argininamide, inducing largest 19F chemical shifts changes at FU-23, was used as a reference ligand (Kd = 0.3 ± 0.1 mM). In the Pb2+-induced TAR RNA cleavage experiment, strong and selective cleavage of the C24-U25 phosphodiester bond was observed, while Mg2+ and Ca2+ induced cuts at all 3-nt residues of the bulge. The inhibition of Pb2+-specific TAR cleavage by di- and trivalent metal ions revealed a binding specificity [in the order Co(NH3)63+ > Mg2+ > Ca2+] at the bulge site. A BD simulation search of potential magnesium ion sites within the NMR structure of HIV-1 TAR RNA was conducted on a set of 20 conformers (PDB code 1ANR). For most cases, the bulge region was targeted by magnesium cations.
INTRODUCTION
RNA in its diverse structural forms plays a key role in many biological processes. Its polyanionic structure is highly dependent on the presence of monovalent and divalent metal ions (1,2). Although the vast majority of cations bind RNA non-specifically, a subset of metal ions interacts more or less strongly with specific sites (3–5). High resolution X-ray crystallography, capable of determining hydration spheres of cations, is the principal method that allows for accurately locating and characterising RNA/metal ion binding sites. Our knowledge on RNA ion binding sites is still based on relatively few X-ray structures, among them tRNAs (6,7), hammerhead ribozyme (8), group I intron (9), leadzyme (10) and RNA duplexes (11). As elevated salt concentration is often required for the growth of an RNA crystal, a definite characterisation of specific ion-binding sites of functional importance might be accomplished only when combining results of structure analysis both in crystal and in solution. Conventional techniques of 1H NMR spectroscopy usually do not give direct information on RNA ion binding sites. Therefore, use of the Co(NH3)63+ ion mimicking Mg(H2O)62+ has been offered (12,13) to solve the NMR structure of RNA/metal binding sites with a high resolution.
The 19F NMR spectroscopy offers an attractive alternative to study RNA/metal binding (14,15). 19F chemical shifts are extremely sensitive to an altered local environment of a nucleus, thus making fluorine an ideal NMR spin label for the study of nucleic acids interactions. Other advantages of using fluorine are the high intrinsic NMR sensitivity of the 19F nucleus (83% of the proton sensitivity) and 100% natural abundance. It has been shown that in spite of lower pKa of 5-fluorouridine (FU) (in comparison with uridine), FU substitution has only a negligible influence on the NMR structure of RNA duplexes (14,16,17). The 19F NMR spectroscopy was used previously to study conformational heterogeneity in RNA under various solution conditions (18,19). While our work was in progress, 19F NMR spectroscopy was applied for the analysis of metal ion-induced folding of the hammerhead ribozyme (20).
Biochemical methods of probing metal ion binding to RNA (2) include ion-induced specific cleavage of RNA, various competitive inhibition experiments and phosphorothioate interference assays. The method based on metal ion-induced RNA cleavage has already been proposed for the identification of metal ion-binding sites in tRNA (21), 16S and 23S rRNA (22), HDV ribozyme (23), RNase P RNA (24) and group I intron (25). In its competitive inhibition version (26), the method takes advantage of the competition between different metal ions that bind to a common specific site and are mutually exclusive. In addition, this approach provides information concerning the relative affinities of metal ions to this specific site. This method was successfully used in the localisation of metal ion binding sites in the group I intron (27), 16S and 23S rRNA molecules (28).
Recently, modelling of RNA/metal binding sites by computer simulation with the use of molecular mechanics based on a docking principle (29,30) and Brownian dynamics (BD) (31) were proposed. In the BD simulation positively charged test spheres, which mimic cations under study, diffuse under the influence of random motion in the electrostatic field of the rigid RNA molecule. The BD simulation allowed for a good reproduction of X-ray determined RNA/metal sites and NMR determined RNA/Co(NH3)63+ sites (31). It was also offered as an interesting prediction tool in the case of NMR solution structures in which metal ions were not localized (31–33).
The TAR RNA element is located at the 5′-end of all HIV-1 mRNAs and its interactions with the trans-activator (Tat) protein and several cellular proteins play a crucial role in the trans-activation of viral transcription (34). The importance of these interactions makes TAR RNA a target for therapeutic strategies (35). The structure of the HIV-1 TAR RNA as a ligand-free molecule (36) or in a complex with argininamide (37–39), Tat-derived peptides (37,40) or neomycin (41) was investigated by NMR (36,39,40) and molecular dynamics studies (38,42). It was found (36) that in solution, bulged residues U23 and C24 of ligand-free TAR RNA are stacked within the helix and U25 is looped out. The stacked structure of the bulge induces a bending of the overall helix axis (43).
There are very limited data available on HIV-1 TAR RNA interactions with metal ions. Until now, no X-ray structure of the HIV-1 TAR RNA hairpin has been reported. However, the structure of RNA duplex comprising the bulge region of TAR RNA but devoid of the apical loop was solved at 1.3 Å resolution (44). In crystal, the conformation of the bulged backbone is stabilised by three calcium ions, one of which directly interacts with three phosphate groups (U23, C24 and G26). An additional calcium ion was found in the major groove of the TAR fragment. The authors suggested that the presence of calcium ions in the crystal structure might be indicative of a potential divalent metal ion-binding site within the native TAR RNA. However, due to the high concentration of CaCl2 required for crystallization (100 mM), far from physiological conditions, one might question the importance of divalent metal ions in TAR RNA stabilisation.
Does the HIV-1 TAR RNA hairpin bind magnesium or other divalent metal cations in solution? So far, there has been no direct structural evidence available. It should be underlined that magnesium was absent from the conditions of all NMR studies of HIV-1 TAR RNA already published (36,37,39–41). One observation with regard to the TAR RNA interaction with metal ions in solution comes from transient electric birefringence studies (45). In that experiment, a 120-nt long RNA duplex containing the bulge region of TAR RNA was analysed. It was noted that 2 mM Mg2+ induced a partial straightening of the RNA molecule studied, which is otherwise bent at the bulge region. Another observation concerns destabilisation of the HIV-1 TAR/Tat-peptide complex by Mg2+ ions (46). The fluorescence intensity of the complexes formed between the TAR RNA hairpin, labelled with a fluorescent base at position 24 of the bulge, and Tat-derived peptides was quenched upon the addition of Mg2+ and reached the free TAR RNA level at a 10 mM Mg2+ concentration.
Here, we would like to report the results of 19F NMR-monitored titrations, metal ion-specific cleavages and the competitive inhibition of Pb2+-induced cleavage which clearly indicate that Mg2+, Ca2+ and Co(NH3)63+ ions bind specifically, although weakly, within the bulge region of the TAR RNA hairpin. Argininamide, used as a reference ligand during 19F NMR experiments, binds to the TAR RNA bulge in a single binding mode. It also competes with Pb2+ for the same binding site. To complement experimental results, BD simulations were accomplished on a set of 20 TAR conformers. The collected data revealed that for 14 out of 20 RNA cases the region composed of the bulge and flanking base pairs of both stems was targeted by magnesium cations. We believe that the results presented will increase the interest in combining experimental and computational approaches for the exploration of moderately weak metal ion RNA binding sites in solution.
MATERIALS AND METHODS
Materials and oligoribonucleotide synthesis
T4 polynucleotide kinase was purchased from MBI Fermentas. RNase T1 was obtained from Boehringer. [γ-32P]ATP (5000 Ci/mmol) was purchased from ICN. Other materials used in this study were either from Sigma or Aldrich.
The synthesis of 29mers of HIV-1 TAR RNA, both unmodified and modified with FU, was performed using solid-support aided phosphoramidite chemistry and applying the 2′-O-tBDMSi protection (47). After 1 µmol scale synthesis and deprotection with fluoride anion, the oligoribonucleotides were purified by preparative 19% polyacrylamide gel electrophoresis (PAGE) in denaturing conditions, followed by electroelution with Biotrap BT 1000 (Schleicher & Schuell) and desalting on NAP columns. The RNAs were isolated with average 10% total yields of synthesis and purification. Primary structure of oligoribonucleotides was confirmed by sequencing with ribonuclease T1 (G-specific RNase) and MALDI-TOF spectrometry.
19F NMR spectroscopy
NMR data were acquired on a Varian Unity 300 spectrometer equipped with selective 19F/1H probe (5 mm). The 19F base frequency was 282.19 MHz. Data were accumulated with a relaxation delay of 1 s over a spectral width of 11 611 Hz by using 16 K points. A total of 1000–4000 scans were averaged to achieve good signal to noise ratio. Prior to the Fourier transformation, exponential line broadening 4–8 Hz was applied to FIDs. Fluorine chemical shifts were referenced to external FU.
RNA concentrations ranged from 0.1 to 0.2 mM and were determined from the absorbance at 260 nm. Stock solutions of MgCl2, CaCl2, Co(NH3)6Cl3 or argininamide dihydrochloride were prepared. Aliquots of the solutions were added directly to the RNA sample in an NMR tube. The buffer used was 10 mM sodium phosphate, 50 mM NaCl, 0.1 mM EDTA (pH 6.6). In the Ca2+ titration experiment, to provide buffer conditions comparable with those used in the X-ray study (44), 10 mM sodium cacodylate pH 6.5, 50 mM NaCl and 0.1 mM EDTA were used. The binding of ligands to FU-TAR RNAs was measured quantitatively using 19F NMR spectroscopy. Binding curves were obtained by monitoring fluorine chemical shifts changes upon titration of the RNA with ligand solutions at the constant temperature of 21 ± 0.5°C. The equilibrium dissociation constants (Kd) were estimated by non-linear curve fitting based on the previously published equation for RNA/ligand in a fast exchange (41,48,49). The only satisfactory fit was obtained using 1:1 stoichiometry for all ligands studied. The average dissociation constants were estimated only for fluorine resonances with a significant chemical shift dependence on metal ion concentration.
Metal ion-induced RNA phosphodiester bond cleavages
The oligoribonucleotides were 5′-end labelled using T4 polynucleotide kinase and [γ-32P]ATP according to standard procedures. Subsequently, they were purified by denaturing 19% PAGE, eluted from the gel by crush-and-soak method, precipitated with ethanol, redissolved in sterile water, and quantified by a Beckman LS5000TA scintillation counter. Prior to the analysis, the RNA hairpins (∼30 000 c.p.m.) were refolded by heating at 90°C for 30 s followed by slow cooling to the room temperature. For Pb2+ ion-induced cleavage reaction, refolding was performed in a buffer containing 10 mM Tris–HCl pH 7.2, 40 mM NaCl and 8 µM carrier tRNA. Afterwards, freshly prepared Pb(OAc)2 solution was added to the final concentrations of 0.5, 1 and 2 mM. The 10 µl reaction mixture was incubated for 15 min at the room temperature. For Mg2+ or Ca2+ ion-induced cleavage reactions, refolding was performed in a solution containing 40 mM NaCl, 8 µM carrier tRNA and 0.025 mM EDTA. Immediately afterwards, the buffer solution was added to a final concentration of 10 mM Tris–HCl pH 8.5. Subsequently, either MgCl2 or CaCl2 solution was added to the final concentrations of 0.5, 1 and 2 mM. The 10 µl reaction mixture was incubated for 15 h at 37°C. All reactions were quenched by the addition of an equal volume of gel loading buffer (8 M urea, 20 mM EDTA, tracking dyes) and stored on dry ice. Reaction products were separated by 19% PAGE (8 M urea). The results were visualised and quantitatively analysed using phosphorimaging screens and a Typhoon 8600 Imager with ImageQuant software (Molecular Dynamics). The images were not edited and a linear relationship between signal and image intensity was retained.
Inhibition of Pb2+-induced cleavage
For competitive inhibition of Pb2+-induced RNA cleavage, the oligoribonucleotides were 5′-end labelled and refolded as described above for the Pb2+ cleavage reaction. The cleavage with Pb2+ ions was performed at a constant 2 mM concentration of Pb2+ ions and in the presence of increasing concentrations of MgCl2, CaCl2, Co(NH3)6Cl3 or argininamide dihydrochloride, at the room temperature for 15 min. The concentrations of competing metal ions and argininamide are specified in the legend to Figure 4. The reaction products were quantitatively analysed as described above. The concentration of competing ions necessary for the 50% inhibition of cleavage (IC50) was calculated from the plot of the relative intensity of Pb2+-induced cleavage at C24 versus the concentration of competing ions.
Brownian dynamics simulations
Atomic coordinates of a ligand-free HIV-1 TAR RNA structure were taken from the Brookhaven Protein Data Bank (PDB code 1ANR). The whole set of 20 conformers satisfying NMR constraints (36) was subjected to the analysis. These conformers are identified here by numbers 1–20, which correspond to their order in the PDB file. The UHBD program (50) was used to simulate a random motion of metal ions within the electrostatic field of the RNA molecule. Parameters concerning electrostatics and details of the BD simulation followed those from the original report (31). The diffusing Mg(H2O)62+ cations were modelled as positively charged spheres of optimised radii 2.2 Å and +2e charge. Trajectories of test spheres were started at randomly chosen points at a distance of 100 Å from the centre of mass of the rigid TAR molecule. Test spheres that stayed within the cut-off sphere of radius 180 Å were simulated for 200 ns at a time step of 0.02 ps. For each test sphere, 1000 trajectories were calculated. Calculations were carried out on a SGI Origin 3200 platform.
All recorded probe coordinates (106) were taken into account. Geometries of potential binding sites were visualised using the InsightII/Delphi software package (Accelrys). For this purpose, all trajectory data from UHBD were converted into the InsightII format. As a result, a file containing ‘numbers of contacts’ was obtained. The ‘number of contacts’ is defined as a sum of single events when the modelled cation sphere was recorded at the certain point in space, during the trajectory. Obtaining that, it was possible to create three-dimensional contours that comprised points of the same values, reflecting the probability of magnesium ions location. To perform structural analysis, these contours (shown in yellow; see Fig. 5) were superimposed on the rigid RNA structures using a cubic grid of 1 Å spacing. This allowed for indication of TAR residues and atoms of close proximity (4 Å) to potential magnesium location, for all 20 conformers. For evaluation of site-occupancy statistics, the resulting data were categorised into three groups, according to the numbers of contacts: high (>2.5 · 104); medium (104–2.5 · 104) and low (<104).
A reference experiment, conducted for testing the above protocol at the initial stage of our study, fully reproduced the results of BD simulation (31) of the structure of a RNA hairpin/metal binding site (12) (data not shown).
RESULTS AND DISCUSSION
19F NMR-monitored metal ion titration
For the purpose of this study, a 29mer oligoribonucleotide of HIV-1 TAR RNA sequence (I) and its three regioselectively FU-labelled analogues (II–IV) were chemically synthesised. FU labels were introduced at positions 23, 31 (II), 25, 38 (III) and 23, 38, 40 (IV) as shown in Scheme 1.
Prior to 19F NMR titration studies, the Pb2+ cleavage reaction, discussed below in detail, was carried out to detect potential conformational differences between unlabelled (I) and FU-substituted TAR RNAs (II–IV). The lead-induced cleavage patterns of both unmodified and FU-labelled hairpins were virtually the same using quantitative measures. These results, together with data from previous NMR studies concerning the incorporation of FU into RNA duplexes containing FU-A and FU-G base pairs (16,51), suggested that in our case the incorporation of FU might have only a minor, if any, effect on the 29mer TAR RNA structure. This allowed us to deal with the FU label as a non-invasive probe in this 19F NMR study.
The unambiguous assignment of well resolved fluorine resonances was accomplished by a comparison of fluorine chemical shifts in 19F NMR spectra of all three FU-modified hairpins as shown in Figure 1. Within molecules II–IV, 19F chemical shifts were assigned as follows: FU-23 (1.57 p.p.m.), FU-25 (0.71 p.p.m.), FU-31 (1.25 p.p.m.), FU-38 (–1.37 p.p.m.) and FU-40 (0.58 p.p.m.). The signal of FU-38 residue, which is located in the upper helical stem, was 1.95–2.94 p.p.m. up-field of unpaired fluorouridine residues, which agrees well with the data for FU-labelled tRNA (15) and RNA hairpin (19) analyses. Significant low-field shift of FU-40 with reference to FU-38 (Δδ = 1.85 p.p.m.) probably reflects large perturbation of stacking interactions of base pairs flanking the bulge.
To test the sensitivity of the 19F chemical shifts of (II–IV) on ligand binding and the extent of information that could be obtained from 19F NMR titration experiments, an appropriate reference ligand should be applied. Therefore, argininamide, which is known to bind specifically to the bulge region of TAR (39), was used. The δ (19F) chemical shift changes versus increasing argininamide/RNA ratio are shown in Figure 2A. Large chemical shift changes were induced by less than 1 equivalent of argininamide. In the presence of 20 molar excess of argininamide, the resonance of the residue FU-23 (Δδ = –1.94 p.p.m.) was the most affected. Only negligible chemical shift changes for FU-31, located in the apical loop, were detected. The resonances of the residues FU-25 and FU-38 were shifted by 0.55 and 0.36 p.p.m., respectively. In the absence of ligand, the FU-40 signal of hairpin IV was much broader than other fluorine resonances. FU-40 resonance sharpened significantly with the addition of argininamide and at the 6-molar excess of ligand its linewidth (29 Hz) was comparable with the others.
19F NMR spectroscopy with the use of our reference ligand allowed for the discussion of the mode of argininamide binding to TAR RNA. The resonance of the FU-23 residue, which is crucial in argininamide binding, was the most affected. The significant shift of the resonances of residues FU-25 and FU-38 upon addition of argininamide is consistent with the previously observed conformational rearrangement within the bulge, which might give rise to a base triple formation between U23 and the base pair A27-U38 (39). The sharpening of FU-40 resonance upon addition of argininamide is in agreement both with the observation on the high solvent exchange found for the U40 imino proton in the flexible ligand-free TAR structure (36) and with the known stabilising effect of argininamide or peptide binding on the lower stem closing the A22-U40 base pair (37). It should be underlined that with the increased argininamide/TAR stoichiometry, only one set of resonances was observed, which is indicative of a complex formation in a fast exchange. Chemical shift profiles as a function of ligand concentration (Fig. 2A) indicated that argininamide binding was specific and saturable. The equilibrium dissociation constant, Kd = 0.3 ± 0.1 mM, was estimated from the analysis of the titration curves. The only satisfactory fit was obtained assuming binding stoichiometry of 1:1. Our results indicate approximately 10 times stronger binding of argininamide to TAR than was calculated before (∼2–3 mM) from 1H chemical shift profiles for A22 (H2) and G28 (H8) of HIV-1 TAR RNA as a function of ligand concentration (39).
The results of 19F NMR analysis of argininamide binding to TAR prompted us to employ this technique to the analysis of Mg2+, Ca2+ and Co(NH3)63+ ions binding to TAR RNA (II–IV). The largest Mg2+-induced chemical shift changes were observed (Fig. 2B) in the region of the bulge for residues FU-23 (Δδ = 0.18 p.p.m.), FU-25 (Δδ = –0.11 p.p.m.) and for FU-40 (Δδ = 0.17 p.p.m.). The addition of Ca2+ to II–IV resulted in opposite shifts of fluorine resonance FU-23 (Δδ = –0.17 p.p.m.) and larger, up-field shift of FU-40 (Δδ = –0.40 p.p.m.) while the residue FU-25 (Δδ = –0.02 p.p.m.) was only slightly affected (data not shown). Upon titration with Mg2+ or Ca2+ ions, the largest Δp.p.m. values of 19F resonances were observed for the residues that are located in the region of the bulge. Only negligible 19F chemical shift changes were observed for the resonance of FU-31 located in the apical loop. These results strongly suggest that there is a metal ion-binding site in the bulge region of HIV-1 TAR RNA.
The Kd values of 0.9 ± 0.6 and 2.7 ± 1.7 mM for Mg2+ and Ca2+ binding, respectively, correspond to relatively weak binding (13) and they are of the same order as argininamide binding. Moreover, the binding of magnesium ions, which is necessary for stability or catalytic activity of RNA, is often characterised by Kd values of this order (4,52). Besides, the concentration of magnesium ions in mammalian cells is widely believed to be in the millimolar range with estimations ranging from as little as 1 mM (53) to as much as 30 mM (2).
There is an increasing amount of data to demonstrate that Co(NH3)63+ can serve as a probe for identification of Mg(H2O)62+ binding sites in RNA (12,13,30). The ionic radius of Co(NH3)63+ is similar to that of a hexahydrated Mg2+ ion (54). The advantage of using Co(NH3)63+ for 1H NMR study, in contrast to Mg(H2O)62+, is that the exchange-inert property of cobalt complex ions prevents inner-sphere interactions with functional groups of RNA (13). The influence of Co(NH3)63+ ions on 19F chemical shifts of TAR RNA hairpins II–IV was measured (Fig. 2C). Upon the gradual addition of Co(NH3)63+, up to 5 molar equivalents, the largest chemical shift changes appeared at FU-23 (Δδ = 0.27 p.p.m.), FU-25 (Δδ = –0.88 p.p.m.), FU-38 (Δδ = –0.12 p.p.m.) and FU-40 (Δδ = 1.81 p.p.m.). The chemical shift changes induced by binding of Co(NH3)63+ are larger than those induced by Mg2+ and indicate that Co(NH3)63+ binds to the bulge region of HIV-1 TAR RNA, although the coordination details may be not the same for the two ions. If more than five equivalents of Co(NH3)63+ ions were added, the RNA samples irreversibly aggregated. This confirms earlier reports on Co(NH3)63+-induced RNA condensation (55). Therefore, we were not able to estimate an equilibrium dissociation constant for the Co(NH3)63+ complex (56) due to the lack of titration data for Co(NH3)63+/TAR RNA ratio higher than five equivalents.
Metal ion-induced HIV-1 TAR RNA cleavages
To obtain a further insight into the binding of metal ions to TAR RNA we employed two approaches, namely, metal ion-induced cleavages of phosphodiester bonds and competitive inhibition experiments. Unmodified hairpin I was used for these studies. In the absence of metal ions, the oligoribonucleotide I was stable at pH 7.2 (57). At pH 8.5, small evenly distributed degradations were observed after 15 h (58).
Ion-induced cleavages of unmodified TAR RNA (I) with Pb2+, Mg2+ and Ca2+ ions were performed and quantitatively analysed. The cleavage with lead ions was conducted at physiological pH of 7.2 for 15 min and at the room temperature. The incubation with only 0.5 mM Pb2+ was sufficient to produce very strong, specific cleavage of TAR RNA at position C24 and secondary, much weaker, cuts at positions A22, U23 and U25 located in the bulge region (Fig. 3). The same pattern was observed for FU modified TAR RNAs (II–IV). The high efficiency of cleavage reaction at position C24 suggests that it was induced by a tightly bound Pb2+ ion.
The experimental conditions used for cleavage reaction with Mg2+ and Ca2+ (pH 8.5, 15 h, 37°C) were quite different from those used for Pb2+ catalysed cleavage because of much higher pKa values of corresponding metal ion hydrates (21). The patterns and efficiencies of TAR RNA cleavage obtained with Mg2+ and Ca2+ were very similar to each other (Fig. 3). However, in contrast to Pb2+-induced cleavages, only weak cuts were obtained at 0.5 mM concentration of these ions. In experiments with Mg2+ and Ca2+, the intensity of cleavage at C24 was slightly higher than that at U23 and U25 while the cleavage at A22 was the least efficient. Although major cleavages induced by Mg2+ and Ca2+ ions were located in the bulge region of TAR RNA, smaller cleavages at U31 and A35 of the hexanucleotide apical loop were also observed.
High-resolution NMR studies of the free TAR structure revealed that the bulge region presents some conformational flexibility at U25, and to a lesser extent, at A22, U23 and C24 (36). The dynamic behaviour of HIV-1 TAR was also confirmed by molecular dynamics simulations (38) and NMR residual dipolar couplings that were published very recently (43). In the light of these results, it seems that the cleavage pattern produced by Ca2+ and Mg2+ ions binding to TAR RNA is likely to be a consequence of flexibility in the bulge region of free TAR and may reflect multiple binding modes of cations to the same site.
Competitive inhibition of Pb2+-specific cleavage by Mg2+, Ca2+, Co(NH3)63+ and argininamide
In order to explore further the specificity of metal ion binding to the bulge site of TAR RNA, the influence of Mg2+, Ca2+ and Co(NH3)63+ ions on the efficiency of strong and selective Pb2+-induced cleavage at C24 was examined (Fig. 4). The cleavage was effectively inhibited by the increasing concentrations of all these ions, which indicated that competing ions replaced Pb2+ from a general metal ion-binding site. In order to extract quantitative information from competitive inhibition experiments, we determined the concentration of competing ions necessary for the 50% inhibition of cleavage (IC50). The obtained values of IC50: 1.6, 7.0 and 9.8 mM for Co(NH3)63+, Mg2+ and Ca2+, respectively, correspond well to the 19F NMR titration data. The quantitative evaluation of competitive inhibition data revealed that Co(NH3)63+ ions induced an approximately four-fold stronger inhibitory effect on Pb2+ cleavage at C24 than Mg2+ ions. This is in agreement with previously published NMR data (49) where about an eight-fold stronger binding of Co(NH3)63+ than of Mg2+ was observed within RNA pseudoknot. Interestingly, also argininamide, our reference molecule, inhibits lead-induced cleavage with estimated value of IC50 = 1.8 mM (Fig. 4). The obtained value of IC50 for this interaction is close to that determined for Co(NH3)63+. The result of this experiment provides further evidence that the bulge region of free TAR is a specific metal ion-binding site.
Targeting of HIV-1 TAR RNA by magnesium ions using Brownian dynamics simulations
The ligand-free HIV-1 TAR RNA structure derived from NMR study (36) was deposited in a form of 20 relatively spread out conformers (PDB code 1ANR), which reflect the dynamic character of this molecule. Therefore, instead of making any arbitrary selection of one of them, which in our case would certainly limit the value of results obtained, we decided to perform BD simulation on the whole set. In our calculations we did not do any limitation to the data obtained (31) but considered all 1000 steps for each trajectory. The contours (see Materials and Methods) were very well resolved, thus allowing for the localisation of potential magnesium binding sites. The ‘number of contacts’ was used as a measure of occupancy levels for each site. Because of space limitation, only one selected structure (no. 7) is presented in Figure 5. Table 1 shows the sites of HIV-1 TAR RNA that are most often targeted by magnesium ions within the structures of high and medium occupancy level.
Table 1. The sites of HIV-1 TAR RNA most often targeted by magnesium ions within the BD simulated structures of high and medium occupancy level.
Despite the considerable diversity of all 20 TAR coordinates (average RMSD in the range of 5 Å), BD simulations clearly revealed that for 14 cases, the bulge region was targeted by magnesium ions. In eight out of 14 mentioned cases, one or two magnesium binding sites were localised within the area composed of U23-C24-U25 bulge residues and flanking base pairs A22-U40 and G26-C39. For another six cases, the residues of the bulge and also stems or the apical loop created one or two magnesium binding sites. Interestingly, G34 is most often found as a contacting residue at the apical loop region. Only two conformers with magnesium bound solely in the apical loop region were found. Two structures with three well resolved magnesium sites were predicted by BD simulation. For four strongly bent TAR conformers both stems are ‘bridged’ by magnesium. This observation closely resembles the result of a BD simulation of neomycin cation binding to TAR RNA where the ligand preferentially spans the lower and upper stem (42).
Are the results of BD simulation related to our experimental data? One might conclude from the BD simulation that it is the region of the bulge which is predominately targeted by magnesium. This would certainly fit and complement the experimental data presented above. At this stage, the protocol of the BD data analysis was oriented towards targeting RNA, i.e. to point at potential magnesium ion binding sites. Therefore, it was not designed to show the conformational consequences of metal ion binding. In the second stage of our studies, which will involve time-restricted molecular dynamics, the results obtained from BD simulations of TAR RNA/magnesium will serve as starting points to provide highly resolved structures. Only at that level of accuracy, with explicit solvent included, will we be in the position to answer the above question and comment on the different ability of certain TAR RNA conformers (different occupancy levels) to capture metal ions. In fact, dealing with the plethora of TAR RNA structures would be very informative for describing structural factors of RNA–ion binding specificity.
CONCLUSIONS
Relatively weak RNA intermolecular interactions, including RNA/metal ion binding, may play important biological roles. In this study we have shown that Mg2+, Ca2+ and Co(NH3)63+ bind to the bulge region of HIV-1 TAR RNA. Results obtained from 19F NMR spectroscopy are consistent with those of the metal ion-induced cleavages and competition experiments—the binding of metal ions in solution is weak, in the millimolar range, but specific. The authors of the X-ray structural study on the RNA bulged duplex of native TAR RNA sequence (44) suggested that the presence of four calcium ions in the crystal structure might be indicative of a potential divalent metal ion-binding site within the native TAR RNA. The results of our studies in solution are in agreement with that conclusion and with previous findings concerning both straightening of a TAR RNA bulged duplex (45) and the inhibition of TAR/Tat-peptide binding (46), which were both induced by Mg2+ ions. The BD simulation conducted on the set of 20 NMR-derived coordinates indicated that the bulge region of the HIV-1 TAR RNA was predominately targeted by Mg(H2O)62+ cations. Combining the approaches of 19F NMR spectroscopy, metal ion-induced RNA cleavages and BD simulations offers a versatile way for the exploration of moderately weak binding of metal ions to RNA in solution.
Acknowledgments
ACKNOWLEDGEMENTS
The authors thank M. J. Gait for discussion and J. A. McCammon and J. Briggs for kindly supplying us with the UHBD software. This work was supported by the State Committee for Scientific Research, Republic of Poland (grant 6 P04 A04917). The generous support of the Poznań Supercomputing and Networking Centre is acknowledged.
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