Abstract
Herein, we report the RNA hairpin loops from a 6-nucleotide hairpin library that bind 6′-acylated kanamycin A (1) and 6′-acylated neamine (2) identified by 2-Dimensional Combinatorial Screening (2DCS). Hairpins selected to bind 1 have Kd's ranging from 235-1035 nM, with an average Kd of 618 nM. For 2, the selected hairpins bind with Kd's ranging from 135-2300 nM, with an average Kd of 1010 nM. The selected RNA hairpin-ligand interactions are also specific for the ligand that they were selected to bind compared to the other arrayed ligand. For example, the mixture of hairpins selected for 1 on average bind 33-fold more tightly to 1 than 2 while the mixtures of hairpins selected for 2 on average bind 11-fold more tightly to 2 than 1. Secondary structure prediction of the selected sequences was completed to determine the motifs that each ligand binds, and the hairpin loop preferences for 1 and 2 were computed. For 1, the preferred hairpin loops contain an adenine separated by at least two nucleotides from a cytosine, for example ANNCNN (two-tailed p-value = 0.0010) and ANNNCN (two-tailed p-value <0.0001). For 2, the preferred hairpin loops contain both 5′GC and 5′CG steps (two-tailed p-value <0.0001). These results expand the information available on the RNA hairpin loops that bind small molecules and could prove useful for targeting RNA.
RNA plays important roles in biological systems beyond the transfer of genetic material. For example, microRNAs regulate RNA lifetime and contribute to cancer,(1) riboswitches control gene expression by interacting with metabolites,(2) and viral RNAs facilitate translation of viral proteins (3). The most studied RNA therapeutic target for small molecules is the bacterial ribosome; most anti-bacterials that target the ribosome form direct contacts with RNA.(4) Other RNAs have been targeted with small molecules including HIV Trans-Activating Response (TAR) RNA (5) and Rev-Responsive Element (RRE) RNA (6-8). Despite these studies, most RNA drug targets represent untapped potential.
One difficulty in exploiting other RNA targets for small molecule therapeutics is the relatively limited information available about the small RNA motifs that small molecules bind. What is known about RNA-binding ligands has come from studying smaller motifs or domains derived from RNA therapeutic targets. Such approaches have helped develop compounds to inhibit HIV infection by targeting TAR RNA,(7) to inhibit bacterial growth by targeting the bacterial ribosome,(9, 10) and to facilitate the elimination of plasmids that cause antibiotic resistance (11, 12).
To develop rational approaches to target RNA, information on the ligands that like to bind RNA and the RNA motifs that like to bind ligands is needed. The most commonly used methods to gather such information are systematic evolution of ligands by exponential enrichment (SELEX) and high throughput screening. In SELEX, RNAs that bind a ligand of interest with high affinity (aptamers) are identified from an RNA library using multiple rounds of selection.(13) Aptamers that bind to a ligand are typically large (~15-20 nucleotides) and are therefore difficult to find in a biologically active RNA. In high throughput screening, validated RNA drug targets (bacterial rRNA A-site or TAR RNA, for example) are screened for binding to a library of chemical ligands.(5, 14) Screening of validated RNA targets, however, suffers from low hit rates. We previously described a method that merges RNA selection and ligand screening called 2-Dimensional Combinatorial Screening (2DCS) to identify RNA motif-ligand partners where the RNA motifs are small and likely to be found in a biologically important RNA.(15) In 2DCS, a library of RNAs is screened against a library of ligands; the results help to define RNA motif-ligand partners. With the power of RNA structure prediction (16) and the availability of genomic sequence,(17, 18) RNA motif-ligand partners that are the output of 2DCS could be mined for their presence in biologically important RNA using programs like RNAmotif.(19)
Previously, 2DCS was used to identify the RNA internal loops that bind ligands.(15) Herein, we have utilized 2DCS and a library of RNA hairpin loops to identify RNA hairpin loop-ligand interactions. The RNA library has six randomized positions in a hairpin pattern and therefore 4096 unique members. The ligands are 6′acylated derivatives of the aminoglycosides kanamycin A (1) and neamine (2) (Figure 1). Our results show that the kanamycin A derivative prefers hairpins with an adenine (A) and a cytosine (C) separated by two or three nucleotides while the neamine derivative prefers hairpins with 5′GC and 5′CG steps. Comparison of the study reported herein to a previous study with an internal loop library (20) shows that the kanamycin A derivative binds more tightly to selected internal loops than to selected hairpin loops.
Figure 1.

The structures of the ligands used to select and study RNA hairpin-ligand interactions. Structures 1 and 2 are derivatives of kanamycin A and neamine, respectively, that have been acylated at their 6′ positions with 5-hexynoate. These structures were immobilized onto azide-functionalized agarose via a Huisgen dipolar cycloaddition reaction. Structures 3 and 4 are 5-carboxytetramethylrhodamine (TAMRA)-labeled derivatives of 1 and 2, respectively; they were used to study the affinities of the selected RNA hairpin-ligand interactions using a fluorescence-based assay.
Materials and Methods
General array construction and RNA synthesis methods
Oxidized agarose microarrays were functionalized with 3-azidopropylamine, and the aminoglycosides 1 and 2 were immobilized onto the array surface using a Huisgen dipolar cycloaddition reaction as described previously.(20, 21) The 6-nucleotide RNA hairpin library was transcribed using a synthetic DNA template purchased from Integrated DNA Technologies (Coralville, IA) in which the randomized nucleotides were custom-mixed to ensure equal representation of each nucleotide in the template. This DNA was PCR amplified to provide a double stranded template with a T7 promoter and transcribed using a RiboMaxx transcription kit (Stratagene) per the manufacturer's protocol. After transcription, the product was purified using a denaturing 15% polyacrylamide gel and 5′-end labeled with [γ-32P] ATP as described previously.(20)
Competitor oligonucleotide 6 and oligonucleotide 9 (Figure 2) were purchased from Dharmacon and deprotected using the manufacturer′s standard protocol. The deprotection solution was evaporated by vacuum concentration and the oligonucleotides were used without further purification. Competitor oligonucleotides 7 and 8 were purchased from Integrated DNA Technologies and were used without further purification.
Figure 2.
Oligonucleotides used to identify the RNA hairpin-ligand interactions via 2DCS. Oligonucleotide 5 is an RNA hairpin library with six randomized positions (N). The library has 4096 unique members. Oligonucleotides 6-8 were used at 1,000 times the concentration of 1 in selection experiments to ensure that interactions occurred to loop nucleotides and not to the cassette. The oligonucleotides that comprise 6 are a mimic of the stem in 5; the sequence was altered such that it does not compete for RT-PCR primers. Oligonucleotides 7 and 8 are DNA competitors. Oligonucleotide 9 was used to study the binding of 6′-acylated neamine to 5′CG and 5′GC steps.
Hybridization of the hairpin library (5) and competitor oligonucleotides (6, 7, and 8) with aminoglycoside arrays
Four tubes were prepared containing the following amounts of oligonucleotide(s) in 100 μL of hybridization buffer (HB, 8 mM NaHPO4, 1 mM EDTA, 180 mM NaCl, pH 7.0): 5, 5.5 pmoles; 6, 5.5 nmoles; 7, 5.5 nmoles; and 8, 5.5 nmoles. The oligonucleotides were folded by incubating them at 60 °C for 5 min and then slow cooling to room temperature. After reaching room temperature, the solutions were combined and the final volume adjusted to 500 μL with 1X HB. Prior to hybridization with the oligonucleotides, the array was pre-hybridized with 1X HB containing 0.1% BSA for 15 min at room temperature. The solution was removed from the array surface, and the solution containing all oligonucleotides was pipetted on the surface and spread evenly with a custom-cut piece of parafilm. The array was incubated for 20 min at room temperature. After hybridization, unbound RNA was washed from the surface using 1X HB, and the arrays were imaged as described previously.(20) Positions on the agarose array where RNAs were captured were excised from the surface and amplified via RT-PCR as described previously.(21) The RT-PCR product was then cloned into pGEM T Vector (Promega) according to the manufacturer′s standard protocol. The ligation mixture was used to transform Escherichia coli DH5-α competent cells. White colonies were used to inoculate 1 mL of Terrific Broth in a well of a deep-well 96-well plate. After the cultures reached an OD550 of ~4, the cultures were pelleted and sent to Functional Biosciences (Madison, WI) for sequencing.
Determination of trends in selected hairpins
The secondary structures of the selected hairpins were predicted using the RNAstructure program.(16) Trends in the sequence data for the hairpins selected for 1 and 2 were determined as described previously.(20) In order to determine the number of hairpins in the library (5) that display the trend of interest, the program GNU Grep (version 2.5.1) was used (http://www.gnu.org/software/grep/grep.html). This freeware program searches for patterns and reports the number and sequence of library members that meet a given criterion.
Transcription of RNA pools and individual hairpins selected to bind 1 and 2
All RNAs were transcribed using an RNAMaxx transcription kit (Stratagene) using 5 μL of template from the RT-PCR reaction (hairpin mixtures) or from the PCR amplification reaction of the plasmid containing the individual hairpin loop of interest.
Affinity Measurements
Dissociation constants from direct assays were determined as described previously (20) using a Bio-Tek FLX-800 plate reader except 50 nM of 3 or 4 was used. The excitation and emission filters used were 530/25 and 590/35, respectively, and the sensitivity was set to 60. An approximately 35% decrease in fluorescence was observed. The resulting curves were fit to:(22)
where I is the observed fluorescence intensity, I0 is the fluorescence intensity in the absence of RNA, Δε is the difference between the fluorescence intensity in the absence of RNA and in the presence of infinite RNA concentration, with values usually ranging between 1.3 × 10-11 - 5.9 × 10-11 I M-1, [FL]0 is the total concentration of the fluorescently labeled aminoglycoside, [RNA]0 is the total concentration of the selected hairpin loop(s) or control RNA, and Kt is the dissociation constant.
Competition assays were also completed as described previously using 1-1.25 μM RNA, 50 nM of 3 or 4, and increasing concentrations of competitor. The expected increase in fluorescence was observed and the resulting curves were fit to:(23)
where Θ is the fraction of fluorescently labeled aminoglycoside bound, Kt is the dissociation constant determined for the hairpin of interest from a direct binding assay, Kd is the dissociation constant of the competing, unlabeled aminoglycoside, [FL]0 is the total concentration of the fluorescently labeled aminoglycoside, [Ct]0 is the total concentration of competing aminoglycoside, A is the amount of fluorescently labeled aminoglycoside that is bound at infinite concentration of unlabeled competitor, with values ranging between 0 and 0.08, and [RNA]0 is the total concentration of the hairpin of interest.
The two mixtures of hairpins selected to bind 1 and 2 were also tested for binding to 5-carboxytetramethlyrhodamine (TAMRA)-labeled propylamine, which serves as a negative control. No change in fluorescence was observed for either mixture up to 4 μM RNA concentration.
General dye-conjugation and other synthetic methods
Preparative TLCs were completed using Analtech preparative plates (20×20 cm, 500 μm thick). High Performance Liquid Chromatography (HPLC) separations were performed on a Waters 1525 Binary Pump system with an attached UV-Vis detector, and absorbances at 220 and 254 nm were recorded. Purifications were completed using a Waters C8 preparative column (7 μm, 19×150 mm) with a flow rate of 5 mL/min and a solvent composition from 95% aqueous methanol with 0.1% trifluoroacetic acid (TFA) to 5% aqueous methanol with 0.1% TFA over 35 min. All compounds were >90% pure as determined by analytical HPLC. Mass spectra were collected on a Finnegan LC-MS using methanol as the running solvent. The mass range scanned was 200-2000 Daltons with the injector temperature set to either 190 or 250 °C. The tris-(benzyltriazolylmethyl)amine (TBTA) catalyst (24) and 3-azidopropylamine (25) were synthesized as previously described. The aminoglycosides 1, 3, 3″-Tri-N-(tert-butoxylcarbonyl)-kanamycin A, 1, 3, 2′-Tri-N-(tert-butoxylcarbonyl)-neamine, 6′-N-5-hexynoate kanamaycin A (1), and 6′-N-5-hexynoate neamine (2) were synthesized as described previously.(21)
Synthesis of TAMRA-Labeled Kanamycin A (3)
1, 3, 3″-Tri-N-(tert-butoxylcarbonyl)-6′-N-5-hexynoate kanamycin A (1 mg, 1.2 μmoles) was dissolved in 250 μL N,N dimethylformamide with 2% triethylamine and reacted with 5-carboxytetramethylrhodamine (5-TAMRA) succinimidyl ester (1.2 μmoles, Invitrogen) for 2 h at room temperature. The reaction was then lyophilized, resuspended in 100 μL methanol and purified by preparative TLC using a solvent system of chloroform:methanol (10:4). The product (Rf, 0.1) was extracted from the silica gel with methanol and lyophilized to yield a dark pink powder; MS (ESI), Expected: 1197 (M+); Found: 1197 (M+, 100%). The material was then deprotected in 500 μL of TFA: dichloromethane (1:1) for 30 min at room temperature. The sample was lyophilized and purified by HPLC (tr = 21.77 min). The product (0.6 mg, 55% overall) was obtained as a dark pink solid; MS (ESI), Expected: 897.3 (M+); Found: 897 (M+, 100%).
Synthesis of TAMRA-Labeled Neamine (4)
1, 3, 2′-Tri-N-(tert-butoxylcarbonyl)-neamine (2 mg, 2.7. μmoles) was dissolved in 250 μL N,N dimethylformamide with 2% triethylamine and was reacted with 5-carboxytetramethylrhodamine succinimidyl ester (2.72 μmoles) for 2 h at room temperature. The reaction was then lyophilized, resupsended in 100 μL methanol and purified by preparative TLC using a solvent system of chloroform:methanol (10:4). The product (Rf, 0.25) was extracted from the silica gel into methanol and lyophilized to a dark pink powder; MS (ESI), Expected: 1035 (M+); Found: 1035 (M+, 100%). The material was then deprotected in 500 μL of TFA: dichloromethane (1:1) for 30 min at room temperature. The sample was lyophilized and purified by HPLC (tr = 21.50 min). The product (1.1 mg, 71% overall) was obtained as a dark pink solid; MS (ESI), Expected: 735 (M+); Found: 735 (M+, 100%).
Synthesis of TAMRA-Labeled Propylamine
A 2 μL aliquot of propylamine was dissolved in 250 μL N,N dimethylformamide with 2% triethylamine and was reacted with 5-carboxytetramethylrhodamine succinimidyl ester (400 nmoles) for 2 h at room temperature. The sample was lyophilized and purified by HPLC (tr = 18.40 min). The product (200 nanomoles, 50% overall) was obtained as a dark pink solid; MS (ESI), Expected: 472 (M+); Found: 472 (M+, 100%).
Results and Discussion
The aminoglycosides 6′-N-5-hexynoate kanamaycin A (1) and 6′-N-5-hexynoate neamine (2) were used as ligands to identify RNA hairpin-ligand interactions (Figure 1). These two aminoglycosides are acylated at their 6′ positions and mimic the product of modification by the 6′ aminoglycoside acetyltransferase family of resistance enzymes.(26) Binding of kanamycin A to an oligonucleotide mimic of the bacterial rRNA A-site shows that acetylation at the 6′ position decreases aminoglycoside affinity to the A-site by three orders of magnitude.(27) Prior to the result reported herein, no information was available on which RNA hairpin loops, if any, bind 1 and 2. Previous studies have been completed to identify the internal loops that bind 1, however.(20) These studies showed that 1 preferred internal loops displaying an adenine across from a cytosine and pyrimidine-rich loops.
The RNA hairpin library (5, Figure 2) contains six randomized positions, resulting in 4096 unique library members that display 4- and 6-nucleotide hairpins. Hairpins with four nucleotides result if a presumed base pair forms between positions 1 and 6. We chose to study small hairpins because they are common secondary structural elements (larger hairpins are less commonly found in biologically relevant RNAs) and often have functional importance. For example, hairpins serve as docking sites for proteins, are cellular localization elements (28, 29), form tertiary contacts within a RNA (30), and bind small molecules (11, 12, 31). Therefore, identifying the sequence and structural preferences of aminoglycosides for RNA hairpins is important.
To select RNA hairpin loop-ligand interactions via 2DCS, 1 and 2 were immobilized onto azide-functionalized agarose microarrays using a Huisgen dipolar cycloaddition reaction.(21, 24, 32) Arrays were hybridized with 32P-labeled 5 and competitor oligonucleotides 6-8 (Figure 2); 5 is the 6-nucleotide hairpin library while 6 is a duplex mimic of the stem in 5. Oligonucleotide 6 is used to select against sequence and structure elements that are common to all members of 5. Oligonucleotides 7 and 8 are DNAs that ensure interactions are RNA-specific. Competitors were used in excess over the amount of ligand delivered to the array surface and the amount of 5 hybridized with the array (1,000-fold excess each of 6-8). After hybridization and washing away of unbound RNA, arrays were imaged to determine if members of 5 bind 1 and 2 (Figure 3). A clear dose-response is observed for both aminoglycosides. Interestingly, comparison of these data with previously published data for 1 binding to a 3×3 nucleotide internal loop library (21) shows that a higher ligand loading is required to bind members of 5 (Figure 3). This may suggest that 1 binds internal loops with higher affinity than it does hairpin loops or that 1 binds more internal loops than hairpin loops. The binding data reported herein point to the former.
Figure 3.

Selection of RNA hairpin-ligand interactions using array immobilized 1 and 2. A, an image of a microarray in which serially-diluted concentrations (or loadings) of 1 and 2 (indicated to the left of the array) were anchored onto an azide-agarose array and hybridized with 5′-end 32P labeled 5 in the presence of competitor oligonucleotides 6-8. Positions on the array from which RNA was excised are indicated with circles. Circles labeled “c+” and “c-“ serve as background controls; no aminoglycoside was spotted in these positions. B, an image of a gel for RT-PCR amplification of samples excised from the array in A; “-“ indicates reactions completed in the absence of reverse transcriptase while “+” indicates reactions completed in the presence of reverse transcriptase. “Cont.” indicates negative and positive controls in the absence or presence of reverse transcriptase. C, a plot of the dose-response for the array shown in A.
Bound RNAs at the lowest ligand loading of 5 that was above background (where no aminoglycoside was spotted) were excised from the agarose array, RT-PCR amplified, cloned and sequenced (Figure 3). The secondary structures of the sequences were predicted by free energy minimization (21) to determine the RNA motifs that bind each ligand (Figures 4 and 5). The motifs were then statistically analyzed to identify trends in the selected structure space to identify “consensus” RNA hairpins that bind 1 and 2. Representative structures were then studied for binding to fluorescently labeled derivatives of 1 (compound 3) and 2 (compound 4) (Figure 1) to determine dissociation constants. In previous studies with internal loops, aminoglycoside derivatives were labeled by attaching 5-fluorescein isothiocyanate (5-FITC) to the product of 6′-N-5-hexynotate-modified aminoglycosides (1 and 2, for example) after reaction with 3-azidopropylamine via a Huisgen dipolar cylcoaddition. (32) Titration of RNA hairpins into solutions of 5-FITC labeled 1 and 2, however, showed little change in fluorescence (≤ 10%). Similar 5-carboxytetramethylrhodamine (TAMRA) derivatives were synthesized and also gave small changes in fluorescence (≤ 10%) when titrated into solutions containing RNA hairpins. In contrast when the TAMRA dye was brought closer to the RNA by direct conjugation to the aminoglycoside's 6′-amine to yield compounds 3 and 4, these compounds were responsive to RNA binding (change in fluorescence ≈ 35%) and allowed accurate determination of binding constants.
Figure 4.

The secondary structures of a subset of the RNA hairpin loops that were selected to bind 2 (neamine derivative) and studied for binding 4. The nucleotides shown are derived from the boxed region in 1 and the affinities (nM) for 4 are shown below the hairpin structure. The green nucleotides highlight 5′GC and 5′CG steps.
Figure 5.

The secondary structures of a subset of the RNA hairpin loops that were selected to bind 1 (kanamycin A derivative) and studied for binding 3. The nucleotides shown are derived from the boxed region in 1 and the affinities (nM) for 3 are shown below the hairpin structure. The orange nucleotides highlight A's separated by at least two nucleotides from C's.
RNA hairpins that bind to neamine derivative, 2
The hairpins that bind 2 were searched for commonalities (Figure 4). There was no preference for presumed 4- or 6-nucleotide hairpin loops, as they appear at the same approximate percentages in the selected structures and in the entire hairpin library. Nea 6′Ac HP15 appeared twice in the sequencing data. The only statistically significant trend in hairpins that bind 2 are loops that contain both 5′GC and 5′CG steps (two-tailed p-value <0.0001). Dissociation constants were determined for a subset of selected hairpins that fall into four categories—hairpins that have both 5′GC and 5′CG steps (average Kd of 678 nM), hairpins that have 5′GC steps (average Kd of 941 nM), hairpins that have 5′CG steps (average Kd of 1127 nM), and hairpins that have no 5′GC or 5′CG steps (average Kd of 1635 nM) (Figure 4).
Inspection of the hairpin loops in Figure 4 shows that a few hairpins, like Nea 6′Ac HP1, have the potential for forming kissing complexes or fully paired duplexes. It should be noted that kissing hairpins are stabilized by divalent metal ions because these complexes bring several phosphates close together (33), however, Mg2+ was not present in the hybridization buffer used herein. In order to address the secondary structure formed by the hairpins, a subset was studied by native gel electrophoresis and Nea 6′Ac HP1 was studied by native gel, enzymatic mapping, and optical melting. All three methods confirm that hairpins as depicted in Figure 4 are forming; only a single band for all RNAs are observed in native gels with similar mobility as the corresponding GAAA hairpin and 5. Furthermore, native gel electrophoresis in the presence of 4 did not induce the formation of kissing hairpins. The hairpin loop guanines are accessible to T1 nuclease cleavage indicating that they are single stranded. There is no concentration dependence on the melting temperature in optical melting experiments and there is only a single transition at all concentrations tested, up to 6 μM. Please see the Supporting Information for experimental procedures and data from these experiments.
The affinity of the mixture of hairpins selected to bind 2 was then determined using 4. The mixture selected to bind 2 binds to 4 with a dissociation constant of 1150 ± 166 nM. A competition assay with 2 was used to determine the effect that dye conjugation has on affinity. This experiment revealed that the fluorophore decreases affinity by about 4-fold giving a dissociation constant of 275 ± 53 nM; such effects have been observed previously (22, 34). The selectivity of the mixture of hairpins selected to bind 2 was also studied using a competition assay with 1. The hairpins that bind 2 are about 11-fold selective as they bind 1 with a Kd of ~3000 nM. In order to determine if the hairpins bind to the dye alone, the binding of the mixture of hairpins to TAMRA-propylamine was studied. No change in fluorescence was observed up to 4 μM RNA concentration, indicating that the dye does not bind RNA unless conjugated to the aminoglycoside.
Surprisingly, 5 (the entire hairpin library) binds to 2 with a Kd of 4200 ± 283 nM, or only about a 4-fold decrease in affinity compared to the selected hairpins. Since a statistically significant trend was found for the loops selected to bind 2, these data were surprising. Careful inspection of the stem in 5 revealed a 5′CG and a 5′GC at the helix terminus and in the unpaired region, which are also present in 6. We therefore also studied the binding of 4 to 6, a mimic of the stem in 5 that contains both types of steps, 8, d(GC)11, and 9, a small hairpin that contains 5′CG and 5′GC steps in the stem. 6 binds to 4 with a dissociation constant of 2200 ± 177 nM while the dissociation constant for 8 is 2300 ± 142, which likely reflect non-specific binding. In contrast, 9 has a dissociation constant of 500 ± 40 nM. This suggests that 2 prefers 5′GC and 5′CG steps in or adjacent to RNA hairpin loops more than 5′GC and 5′CG steps distant from a hairpin loop.
The range of affinities for the hairpins selected to bind 2 (135-2298 nM, Figure 4) is consistent with the dissociation constant for the mixture of hairpins (1150 ± 166). The average dissociation constant for hairpins containing both 5′GC and 5′CG steps is 678 nM. The hairpins containing only 5′GC steps bind with the second highest affinity with an average Kd of 941 nM. Hairpins with only 5′CG steps or with neither 5′GC nor 5′CG steps bind more weakly with average dissociation constants of 1127 nM and 1635 nM, respectively. The dissociation constant for hairpins containing neither 5′GC nor 5′CG steps is similar to the Kd for 6, a mimic of the stems (2200 nM).
The highest affinity hairpin for 2 is a 4-nucleotide loop closed by a GC base pair (Nea 6′Ac HP1, Figure 4). The hairpin contains multiple 5′GC and 5′CG steps and binds 2 and 4 with dissociation constants of 89 ± 22 and 135 ± 13 nM, respectively. A direct assay with 3 and competition assay with 1 were used to determine the selectivity of this loop. Nea 6′Ac HP1 prefers 4 ~22-fold over 3 and 2 ~55-fold over 1 (Kd is ~5000 nM). Three other hairpins were also studied for selectivities for 2 over 1: Nea 6′Ac HP3 (115 ± 11 nM), Nea 6′Ac HP5 (94 ± 14 nM), and Nea 6′Ac HP7 (91 ± 16 nM) have selectivities of ~35, ~30, and ~70, respectively (Table 1). (Selectivies for 4 over 3 are ~7, ~4, and 3-fold, respectively for Nea 6′Ac HP3, Nea 6′AC HP5, and Nea 6′Ac HP7.) Despite the weak binding of 4 to the stem region, high affinity, selective hairpin loop-2 interactions were identified from 2DCS. This is likely due to the presence of competitor oligonucleotides in a large excess of 5 (1000-fold each) and in excess to the amount of ligand arrayed on the surface.
Table 1.
The selectivities of the hairpins selected to bind to 1 or 2. Selectivities were determined by dividing the Kd determined for the other aminoglycoside by the Kd determined for the selected aminoglycoside
| Direct Assays | Competition Assays | |||||
|---|---|---|---|---|---|---|
| Kd for Selected Aminoglycoside (nM) | Kd for Other Aminoglycoside (nM) | Selectivity | Kd for Selected Aminoglycoside (nM) | Kd for Other Aminoglycoside (nM) | Selectivity | |
| KanHP | 680 ± 11 | 164 ± 22 | 5430 ± 396 | 33 | ||
| Mixturea | ||||||
| Kan HP1 | 235 ± 12 | ~4000 | 17 | >25000 | ||
| Kan HP2 | 314 ± 16 | 2800 ± 146 | 9 | >25000 | ||
| Kan HP3 | 373 ± 57 | 1800 ± 26 | 5 | >25000 | ||
| Kan HP5 | 429 ± 88 | 2200 ± 303 | 5 | >25000 | ||
| Nea HP | 1150 ± 166 | 275 ± 53 | ~3000 | ~11 | ||
| Mixturea | ||||||
| Nea HP1 | 135 ± 13 | ~3000 | ~22 | 89 ± 22 | ~5000 | ~55 |
| Nea HP3 | 629 ± 73 | ~5000 | ~7 | 115 ± 11 | ~4000 | ~35 |
| Nea HP5 | 692 ± 22 | ~3000 | ~4 | 94 ± 14 | ~3000 | ~30 |
| Nea HP7 | 751 ± 97 | 2000 ± 272 | 3 | 91 ± 16 | ~7000 | ~70 |
These RNAs are the mixtures of hairpins that were harvested via 2DCS for binding 1 or 2.
The cassette in which Nea 6′Ac HP1 was displayed was altered to determine if cassette nucleotides are important for binding. One cassette contained all GC base pairs while the other contained all AU base pairs (Figure 6). Not surprisingly, the binding of 4 to Nea 6′Ac HP1 when displayed in the GC cassette was only approximately 1.5-fold tighter than the binding of 4 to the GC cassette with a GAAA tetraloop (367 ± 11 nM and 555 ± 10 nM, respectively), consistent with our other observations. Binding of 4 to Nea 6′Ac HP1 when displayed in 5 and the AU cassette was similar—135 ± 13 nM and 152 ± 21 nM, respectively. No change in fluorescence was observed up to 4 μM of the AU cassette. These data also point to 6′-acylated neamine preferring RNA hairpins with 5′GC and 5′CG steps.
Figure 6.

The GC and AU cassettes into which Nea 6′Ac HP1 and Kan 6′Ac HP2 were inserted. The dissociation constants (nM) in the corresponding cassette are given below the secondary structure of the hairpin. The dissociation constants (nM) in the original cassette (5) are shown in parentheses. The dissociation constant for 4 binding to the GC and AU cassettes are 555 ± 10 nM and >4000 nM, respectively. The dissociation constant for 3 binding to the GC cassette is ~4 μM. The orange and green nucleotides indicate statistically significant trends identified from sequencing data.
RNA hairpins that bind the kanamycin A derivative, 1
Sequence trends were identified in the hairpins selected to bind 1 (Figure 5). As for the case of 2, 1 has no preference for 4- or 6-nucleotide hairpins. Two hairpins appeared twice in the sequencing data, Kan 6′Ac HP9 and Kan 6′Ac HP18. Kan 6′Ac HP17 has the same loop nucleotides as Kan 6′ Ac HP1 though the order is different. Many loops have A in the first position (41.8%, two-tailed p-value = 0.0113), the only position where a clear nucleotide preference was observed for either aminoglycoside. The most statistically significant trend is A in position 1, C in position 5, and G in position 6. Seven out of 43 loops display this pattern giving a two-tailed p-value of <0.0001. Only 64 of 4096 members of the library (5) display this pattern. A more generic trend is A across from C. There are 1909 loops in the library that have the following trend .*A.*C.*, where the “.” indicates any nucleotides and the “*” indicates there can be any number of nucleotides before the A, any number of nucleotides separating the A and the C and any number of nucleotides after the C. In our selection, 29/43 loops displayed this trend giving a two-tailed p-value of 0.0065.
A more specific trend with A across from C is A in position 1 and C in position 5. There are 256 loops in the library with this trend (6.25%) compared to 11/43 loops from our selection (25.6%), corresponding to a two-tailed p-value of <0.0001. If A is not constrained to position 1 but must be separated by three nucleotides from a C, then 13 out of 43 hairpins fall into this category (two-tailed p-value = 0.0003). There are also many loops that have A in position 1 and C in position 4 (two-tailed p-value = 0.0010). The number of hairpins in 5 that have A in position 1 and C in position 4 or 5 is 448. In our selection, 15/43 hairpins display either trend, yielding a two-tailed p-value of <0.0001.
The affinity of the mixture of hairpins selected to bind 1 was determined using a fluorescence-based assay with 3. The mixture binds 3 with a dissociation constant of 680 ± 11 nM. In constrast, 5 (the entire hairpin library) binds 1 with a dissociation constant of ~8 μM. In order to determine the effect of dye conjugation on affinity, a competition experiment with 1 was completed. The resulting Kd of 164 ± 22 nM indicates that the fluorophore interferes with binding to a similar extent that 4 did with the hairpins selected to bind 2; in both cases there is a 4-fold energetic penalty. The same competition experiment was also used to determine the affinity of 2 for the hairpins selected to bind 1. These hairpins bind 2 much more weakly with a dissociation constant of 5430 ± 396 nM. Therefore, the mixture of hairpins is on average 33-fold selective for 1 over 2. When comparing the dissociation constants of 1 to internal loops and hairpin loops, 1 prefers internal loops to hairpin loops by about 10-fold even though there are similarities in sequence.(20, 21) Analogous to the results with the mixture of 2-selected hairpins and TAMRA-propylamine, no change in fluorescence of TAMRA-propylamine was observed up to 4 μM of 1-selected hairpins.
The dissociation constants for the individual hairpin loops selected to bind 1 (Figure 5) range from 235-1035 nM (the average Kd is 618 nM) and are reflective of the dissociation constant of the mixture of hairpins selected to bind 1 (680 nM). Interestingly, the two highest affinity hairpins (Kan 6′Ac HP1 and Kan 6′Ac HP2) share common features with high affinity internal loops selected to bind 1 (32). Both contain adenine across from cytosine and pyrimidines in the loop;adenine and cytosine can form protonated base pairs. In order to determine the effect of pH on binding 1, the dissociation constants for three hairpins were determined at pH 5.9. Kan 6′Ac HP1 has a dissociation constant of 285 ± 21 nM at pH 5.9 compared to 235 ± 12 nM at pH 7.0. For Kan 6′Ac HP2, these values are 545 ± 20 nM and 314 ± 16 nM at pH 5.9 and pH 7.0, respectively, while for Kan 6′Ac HP3 the dissociation constants are 488 ± 88 nM at pH 5.9 and 373 ± 57 nM at pH 7.0. The interpretation of these results is not straightforward, however, since the 3NH2 of kanamycin A has a pKa of 6.2 (35, 36). Thus, it is difficult to determine if the binding affinity is unaffected (Kan 6′Ac HP 1 and HP 3) or slightly weaker (Kan 6′Ac HP2) due to changes or lack thereof in the RNA structure or the different protonation state of 3.
The selectivities of four hairpins selected to bind 1 (Kan 6′Ac HP1, Kan 6′Ac HP2, Kan 6′Ac HP3, Kan 6′Ac HP5, Figure 5) were studied using direct and competition assays with 4 and 2, respectively (Table 1). As expected, the four kanamycin hairpins bind more weakly to 4 in direct assays than 3, with dissociation constants of ~4000 nM, 2800 ± 146 nM, 1800 ± 26 nM, and 2200 ± 303 nM, respectively. Based on these values, the selectivities of the four kanamycin hairpins range from 5- to 17-fold, which is less than the 33-fold determined for the mixture of hairpins using a competition assay with 2. Since the dissociation constants determined for the 1-selected hairpins and 4 from direct assays are similar to the dissociation constants for the entire hairpin library (5, 4200 nM) and a mimic of the stem in 5 (6, 2200 nM), it is likely that 4 is binding to the 1-selected hairpins in the same way, either non-specifically or to the 5′GC and 5′CG steps at the bottom of the stem. To confirm that 2 is binding to a different site than 1, competition assays were completed. Interestingly, fluorescence was not rescued up to 25 μM of 2 (500-fold excess of 2 over 3 (fluorescently labeled kanamycin derivative) and 25-fold excess over the RNA concentration). Taken together, this suggests 1 is binding to the hairpin loop while 2 is binding elsewhere.
To determine if cassette nucleotides contribute to binding affinity, the cassette in which Kan 6′Ac HP2 was displayed was altered. All pairs in the stem were mutated to GC (Figure 6). When displayed in 5, the Kd for Kan 6′Ac HP2 is 314 ± 16 nM while the Kd in the GC cassette is 429 ± 77 nM. (The dissociation constant for the cassette with all GC pairs in which the random region is altered to 5′CGAAAG is ~4 M.) Thus, cassette nucleotides do not contribute significantly to binding since the dissociation constants are similar as was also observed in previous studies with an internal loop library (15, 20).
Comparison to previous aminoglycoside-RNA studies
Many groups have studied aminoglycoside-RNA interactions using defined RNA targets including the bacterial A-site (37-41), HIV TAR RNA (7, 42), HIV RRE RNA (8, 43-45), group I introns (46-50), the hammerhead ribozyme (51), the Hepatitis delta virus (52), and RNase P RNAs (53, 54). In each case, aminoglycosides inhibited the normal function of the RNA, and the binding site was identified. Despite these investigations, sequence preferences for aminoglycosides could not be identified; rather it was determined that aminoglycosides bind to pockets in tertiary structure and/or metal ion binding sites. In order to identify RNA sequence or structural preferences for aminoglycosides, other groups have used SELEX. (34, 55-58)
We previously reported the selection of members of a 3×3 nucleotide internal loop library that bind a different neamine derivative (5-O-(2-azidoethyl)neamine). It was determined from that study that neamine binds a variety of internal loops, and no sequence or structural preferences were identified.(15) In contrast, 2DCS identified “consensus” RNA hairpin loops that bind 6′acylated neamine. This may be due to the lower number of hairpin loops that 6′-acylated neamine binds relative to the number of internal loops that bind 5-O-(2-azidoethyl)neamine. Acylation of the 6′NH2 may minimize the RNA binding promiscuity of neamine by removing the most basic nitrogen.
The binding of neamine to validated drug targets has also been studied. For example, a crystal structure of an oligonucleotide mimic of the bacterial rRNA A-site was solved and compared to complexes with other aminoglycosides.(59) (The oligonucleotide mimic used in these studies contains two copies of the A-site.) The A-site-aminoglycoside complexes show specific binding modes with gentamicin, neomycin B, and lividomycin A, and specific and non-specific binding modes with kanamycin and ribostamycin. The complex formed with neamine, however, was slightly different. Only one of the two binding sites is occupied, and in the occupied site the UU base pair does not form; instead U1406 bulges out of the duplex. Interestingly, the bound neamine hydrogen bonds to G1494 (which is based paired to C1407; the base pair closes an all-adenine 1 × 2 nucleotide loop), the G1405-C1496 base pair, and G1491 (which is base paired to C1409). It also stacks on the C1409-G1491 base pair that closes one side of the 1 × 2 nucleotide loop.
Neamine and neamine dimers have also been studied for binding to HIV RNA targets including RRE RNA (8, 44, 45) and the dimerization initiation site (DIS) RNA.(60, 61) Interestingly, both RNA-ligand binding sites contain 5′GC and 5′CG steps. Previous studies identified that neomycin B binds to HIV RRE RNA, mapping the interactions to a 2 × 3 nucleotide internal loop and surrounding base pairs.(44, 45) Based on these studies, a library of peptidoaminoglycosides was synthesized with a neamine core, some of which are better inhibitors of the REV-RRE complex than neomycin B. (8)
The DIS RNA forms a kissing hairpin that is essential for replication; inhibition of the RNA complex therefore might serve as a therapeutic for HIV. There are variants of the DIS hairpin, each containing at least one 5′GC step. In fact one variant's hairpin sequence is 5′GAAGCGCGCAC. It has been shown that neamine is a better inhibitor of kissing hairpin formation than neomycin, that affinity can be increased using neamine dimers, and that tobramycin binds unspecifically and with lower affinity (tobramycin is closely related to kanamycin).(60, 61) A crystal structure of neamine dimers bound to DIS kissing hairpins has been reported. Interestingly, when bound, the neamine dimers sit in between GC base pairs formed when dimerization occurs, reminiscent of the neamine-A-site complex. (61) These results coupled with our studies suggest that neamine prefers to bind RNA targets with several 5′GC steps in a row. Such information is critical to identify better RNA drug targets for aminoglycosides.
The hairpin loops that were selected to bind 1 share similar features with previous selections for kanamycin derivatives completed in our lab and others. In three internal loop selections with kanamycin derivatives, commonalities between selected loops were identified.(15, 20) These include loops that display an adenine across from a cytosine and pyrimidine-rich internal loops. Interestingly, these are also features that were identified in our hairpins though they bind approximately 10-fold more weakly. In each case, only one round of selection was required to identify loop preferences for kanamycin derivatives. An aptamer for kanamycin B with picomolar affinity was selected by Kwon et al. after 12 rounds of selection. (56) The aptamer contained a 1×1 nucleotide A-C internal loop closed with one GU and one AU base pair. The hairpin loop that capped the stem containing the internal loop also had an adenine and a cytosine, CCAUGG. Kan 6′Ac HP5 (Figure 5) has the same nucleotides as this loop, but not the same sequence. Another kanamycin apatmer was reported by Werstuck and Green in which the hairpin loop also contains a cytosine across from an adenine.(55) It will therefore be interesting to determine if both AC-containing internal and hairpin loops present functional groups in a similar manner to interact with 1 and if these loops indeed form protonated AC pairs.
Summary
Herein, we have described the hairpin loops preferred by 6′-acylated kanamycin and neamine derivatives identified by 2DCS. Sequence preferences were found for both aminoglycosides—hairpins displaying adenine across from cytosine for kanamycin and hairpins with 5′GC and 5′CG steps for neamine. The hairpins bind with nM affinities and are selective for the aminoglycoside for which they were selected. This information may have applications in facilitating the rational and modular design of small molecule targeting RNA; genomic RNA structures can be mined for targets that contain motifs identified in this study and others.
Supplementary Material
Acknowledgments
We thank anonymous reviewers for helpful suggestions, Profs. Dan Gaile and Lara Sucheston in the Dept. of Biostatistics at the University at Buffalo and the New York State Center of Excellence in Bioinformatics and Life Sciences for assistance in identifying trends in sequence data. We also thank Mark J. Morris for initial experiments, and David Strite and Lisa Strite for assistance with the GNU Grep program and for helpful discussions.
This work was supported by funding from the University at Buffalo, the NYS Center of Excellence and Bioinformatics and Life Sciences, a New Investigator Award from the Camille and Henry Dreyfus Foundation, a Cottrell Scholar Award from the Research Corporation, a NYSTAR J. D. Watson Young Investigator Award, and the National Institutes of Health (RO1-GM079235).
Abbreviations
- A-site
aminoacyl-tRNA site
- BSA
bovine serum albumin
- DIS
dimerization initiation site
- DMF
N,N-dimethylformamide
- FITC
fluorescein isothiocyanate
- HIV
human immunodeficiency virus
- HPLC
high performance liquid chromatography
- MS
mass spectrometry
- PCR
polymerase chain reaction
- RNA
ribonucleic acid
- rRNA
ribosomal RNA
- RRE
rev-response element
- RT
reverse transcription
- SELEX
systematic evolution of ligands by exponential enrichment
- TAMRA
carboxytetramethylrhodamine
- TAR
trans-activating response
- TBTA
tris-(benzyltriazolylmethyl)amine
- TEA
triethylamine
- TLC
thin layer chromatography
References
- 1.Calin GA, Croce CM. MicroRNAs and chromosomal abnormalities in cancer cells. Oncogene. 2006;25:6202–6210. doi: 10.1038/sj.onc.1209910. [DOI] [PubMed] [Google Scholar]
- 2.Nahvi A, Sudarsan N, Ebert MS, Zou X, Brown KL, Breaker RR. Genetic control by a metabolite binding mRNA. Chem. Biol. 2002;9:1043–1049. doi: 10.1016/s1074-5521(02)00224-7. [DOI] [PubMed] [Google Scholar]
- 3.Ji H, Fraser CS, Yu Y, Leary J, Doudna JA. Coordinated assembly of human translation initiation complexes by the hepatitis C virus internal ribosome entry site RNA. Proc. Natl. Acad. Sci. U.S.A. 2004;101:16990–16995. doi: 10.1073/pnas.0407402101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tenson T, Mankin A. Antibiotics and the ribosome. Mol Microbiol. 2006;59:1664–1677. doi: 10.1111/j.1365-2958.2006.05063.x. [DOI] [PubMed] [Google Scholar]
- 5.Mei HY, Mack DP, Galan AA, Halim NS, Heldsinger A, Loo JA, Moreland DW, Sannes-Lowery KA, Sharmeen L, Truong HN, Czarnik AW. Discovery of selective, small-molecule inhibitors of RNA complexes--I. The Tat protein/TAR RNA complexes required for HIV-1 transcription. Bioorg. Med. Chem. 1997;5:1173–1184. doi: 10.1016/s0968-0896(97)00064-3. [DOI] [PubMed] [Google Scholar]
- 6.Hendrix M, Priestley ES, Joyce GF, Wong CH. Direct observation of aminoglycoside-RNA interactions by surface plasmon resonance. J. Am. Chem. Soc. 1997;119:3641–3648. doi: 10.1021/ja964290o. [DOI] [PubMed] [Google Scholar]
- 7.Baker TJ, Luedtke NW, Tor Y, Goodman M. Synthesis and anti-HIV activity of guanidinoglycosides. J Org Chem. 2000;65:9054–9058. doi: 10.1021/jo001142e. [DOI] [PubMed] [Google Scholar]
- 8.Park WKC, Auer M, Jaksche H, Wong CH. Rapid combinatorial synthesis of aminoglycoside antibiotic mimetics: Use of a polyethylene glycol-linked amine and a neamine-derived aldehyde in multiple component condensation as a strategy for the discovery of new inhibitors of the HIV RNA Rev responsive element. J. Am. Chem. Soc. 1996;118:10150–10155. [Google Scholar]
- 9.Greenberg WA, Priestley ES, Sears PS, Alper PB, Rosenbohm C, Hendrix M, Hung SC, Wong CH. Design and synthesis of new aminoglycoside antibiotics containing neamine as an optimal core structure: Correlation of antibiotic activity with in vitro inhibition of translation. J. Am. Chem. Soc. 1999;121:6527–6541. [Google Scholar]
- 10.Kaul M, Barbieri CM, Pilch DS. Aminoglycoside-induced reduction in nucleotide mobility at the ribosomal RNA a-site as a potentially key determinant of antibacterial activity. J. Am. Chem. Soc. 2006;128:1261–1271. doi: 10.1021/ja056159z. [DOI] [PubMed] [Google Scholar]
- 11.Thomas JR, DeNap JC, Wong ML, Hergenrother PJ. The relationship between aminoglycosides' RNA binding proclivity and their antiplasmid effect on an IncB plasmid. Biochemistry. 2005;44:6800–6808. doi: 10.1021/bi0473298. [DOI] [PubMed] [Google Scholar]
- 12.Denap JC, Thomas JR, Musk DJ, Hergenrother PJ. Combating drug-resistant bacteria: small molecule mimics of plasmid incompatibility as antiplasmid compounds. J. Am. Chem. Soc. 2004;126:15402–15404. doi: 10.1021/ja044207u. [DOI] [PubMed] [Google Scholar]
- 13.Osborne SE, Ellington AD. Nucleic Acid Selection and the Challenge of Combinatorial Chemistry. Chem. Rev. 1997;97:349–370. doi: 10.1021/cr960009c. [DOI] [PubMed] [Google Scholar]
- 14.Mei HY, Cui M, Lemrow SM, Czarnik AW. Discovery of selective, small-molecule inhibitors of RNA complexes--II. Self-splicing group I intron ribozyme. Bioorg. Med. Chem. 1997;5:1185–1195. doi: 10.1016/s0968-0896(97)00065-5. [DOI] [PubMed] [Google Scholar]
- 15.Disney MD, Labuda LP, Paul DJ, Poplawski SG, Pushechnikov A, Tran T, Velagapudi SP, Wu M, Childs-Disney JL. Two-dimensional combinatorial screening identifies specific aminoglycoside-RNA internal loop partners. J. Am. Chem. Soc. 2008;130:11185–11194. doi: 10.1021/ja803234t. [DOI] [PubMed] [Google Scholar]
- 16.Mathews DH, Disney MD, Childs JL, Schroeder SJ, Zuker M, Turner DH. Incorporating chemical modification constraints into a dynamic programming algorithm for prediction of RNA secondary structure. Proc. Natl. Acad. Sci. U.S.A. 2004;101:7287–7292. doi: 10.1073/pnas.0401799101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Venter JC, et al. The sequence of the human genome. Science. 2001;291:1304–1351. doi: 10.1126/science.1058040. [DOI] [PubMed] [Google Scholar]
- 18.Lander ES, et al. Initial sequencing and analysis of the human genome. Nature. 2001;409:860–921. doi: 10.1038/35057062. [DOI] [PubMed] [Google Scholar]
- 19.Macke TJ, Ecker DJ, Gutell RR, Gautheret D, Case DA, Sampath R. RNAMotif, an RNA secondary structure definition and search algorithm. Nucleic Acids Res. 2001;29:4724–4735. doi: 10.1093/nar/29.22.4724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Childs-Disney JL, Wu M, Pushechnikov A, Aminova O, Disney MD. A small molecule microarray platform to select RNA internal loop-ligand interactions. ACS Chem. Biol. 2007;2:745–754. doi: 10.1021/cb700174r. [DOI] [PubMed] [Google Scholar]
- 21.Disney MD, Childs-Disney JL. Using Selection to Identify and Chemical Microarray to Study the RNA Internal Loops Recognized by 6′-N-Acylated Kanamycin A. Chembiochem. 2007;8:649–656. doi: 10.1002/cbic.200600569. [DOI] [PubMed] [Google Scholar]
- 22.Wang Y, Rando RR. Specific binding of aminoglycoside antibiotics to RNA. Chem. Biol. 1995;2:281–290. doi: 10.1016/1074-5521(95)90047-0. [DOI] [PubMed] [Google Scholar]
- 23.Disney MD, Haidaris CG, Turner DH. Recognition elements for 5′ exon substrate binding to the Candida albicans group I intron. Biochemistry. 2001;40:6507–6519. doi: 10.1021/bi002008r. [DOI] [PubMed] [Google Scholar]
- 24.Chan TR, Hilgraf R, Sharpless KB, Fokin VV. Polytriazoles as copper(I)-stabilizing ligands in catalysis. Org. Lett. 2004;6:2853–2855. doi: 10.1021/ol0493094. [DOI] [PubMed] [Google Scholar]
- 25.Carboni B, Benalil A, Vaultier M. Aliphatic Amino Azides As Key Building-Blocks For Efficient Polyamine Syntheses. J. Org. Chem. 1993;58:3736–3741. [Google Scholar]
- 26.Magnet S, Blanchard JS. Molecular insights into aminoglycoside action and resistance. Chem. Rev. 2005;105:477–498. doi: 10.1021/cr0301088. [DOI] [PubMed] [Google Scholar]
- 27.Llano-Sotelo B, Azucena EF, Jr., Kotra LP, Mobashery S, Chow CS. Aminoglycosides modified by resistance enzymes display diminished binding to the bacterial ribosomal aminoacyl-tRNA site. Chem. Biol. 2002;9:455–463. doi: 10.1016/s1074-5521(02)00125-4. [DOI] [PubMed] [Google Scholar]
- 28.Johnstone O, Lasko P. Translational regulation and RNA localization in Drosophila oocytes and embryos. Annu. Rev. Genet. 2001;35:365–406. doi: 10.1146/annurev.genet.35.102401.090756. [DOI] [PubMed] [Google Scholar]
- 29.Van De Bor V, Hartswood E, Jones C, Finnegan D, Davis I. gurken and the I factor retrotransposon RNAs share common localization signals and machinery. Dev. Cell. 2005;9:51–62. doi: 10.1016/j.devcel.2005.04.012. [DOI] [PubMed] [Google Scholar]
- 30.Cate JH, Gooding AR, Podell E, Zhou K, Golden BL, Kundrot CE, Cech TR, Doudna JA. Crystal structure of a group I ribozyme domain: principles of RNA packing. Science. 1996;273:1678–1685. doi: 10.1126/science.273.5282.1678. [DOI] [PubMed] [Google Scholar]
- 31.Moehle K, Athanassiou Z, Patora K, Davidson A, Varani G, Robinson JA. Design of beta-Hairpin Peptidomimetics That Inhibit Binding of alpha-Helical HIV-1 Rev Protein to the Rev Response Element RNA. Angew. Chem. Int. Ed. Engl. 2007;24:24. doi: 10.1002/anie.200702801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Kolb HC, Finn MG, Sharpless KB. Click Chemistry: Diverse Chemical Function from a Few Good Reactions. Angew. Chem. Int. Ed. Engl. 2001;40:2004–2021. doi: 10.1002/1521-3773(20010601)40:11<2004::AID-ANIE2004>3.0.CO;2-5. [DOI] [PubMed] [Google Scholar]
- 33.Tinoco I, Jr., Bustamante C. How RNA folds. J. Mol. Biol. 1999;293:271–281. doi: 10.1006/jmbi.1999.3001. [DOI] [PubMed] [Google Scholar]
- 34.Wang Y, Killian J, Hamasaki K, Rando RR. RNA molecules that specifically and stoichiometrically bind aminoglycoside antibiotics with high affinities. Biochemistry. 1996;35:12338–12346. doi: 10.1021/bi960878w. [DOI] [PubMed] [Google Scholar]
- 35.Kaul M, Barbieri CM, Srinivasan AR, Pilch DS. Molecular determinants of antibiotic recognition and resistance by aminoglycoside phosphotransferase (3′)-IIIa: a calorimetric and mutational analysis. J. Mol. Biol. 2007;369:142–156. doi: 10.1016/j.jmb.2007.02.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Walter F, Vicens Q, Westhof E. Aminoglycoside-RNA interactions. Curr. Opin. Chem. Biol. 1999;3:694–704. doi: 10.1016/s1367-5931(99)00028-9. [DOI] [PubMed] [Google Scholar]
- 37.Recht MI, Fourmy D, Blanchard SC, Dahlquist KD, Puglisi JD. RNA sequence determinants for aminoglycoside binding to an A-site rRNA model oligonucleotide. J. Mol. Biol. 1996;262:421–436. doi: 10.1006/jmbi.1996.0526. [DOI] [PubMed] [Google Scholar]
- 38.Ryu DH, Rando RR. Aminoglycoside binding to human and bacterial A-Site rRNA decoding region constructs. Bioorg. Med. Chem. 2001;9:2601–2608. doi: 10.1016/s0968-0896(01)00034-7. [DOI] [PubMed] [Google Scholar]
- 39.Kaul M, Pilch DS. Thermodynamics of aminoglycoside-rRNA recognition: the binding of neomycin-class aminoglycosides to the A site of 16S rRNA. Biochemistry. 2002;41:7695–7706. doi: 10.1021/bi020130f. [DOI] [PubMed] [Google Scholar]
- 40.Kaul M, Barbieri CM, Kerrigan JE, Pilch DS. Coupling of drug protonation to the specific binding of aminoglycosides to the A site of 16 S rRNA: elucidation of the number of drug amino groups involved and their identities. J. Mol. Biol. 2003;326:1373–1387. doi: 10.1016/s0022-2836(02)01452-3. [DOI] [PubMed] [Google Scholar]
- 41.Kaul M, Barbieri CM, Pilch DS. Defining the basis for the specificity of aminoglycoside-rRNA recognition: a comparative study of drug binding to the A sites of Escherichia coli and human rRNA. J. Mol. Biol. 2005;346:119–134. doi: 10.1016/j.jmb.2004.11.041. [DOI] [PubMed] [Google Scholar]
- 42.Krebs A, Ludwig V, Boden O, Gobel MW. Targeting the HIV trans-activation responsive region--approaches towards RNA-binding drugs. Chembiochem. 2003;4:972–978. doi: 10.1002/cbic.200300652. [DOI] [PubMed] [Google Scholar]
- 43.Wang Y, Hamasaki K, Rando RR. Specificity of aminoglycoside binding to RNA constructs derived from the 16S rRNA decoding region and the HIV-RRE activator region. Biochemistry. 1997;36:768–779. doi: 10.1021/bi962095g. [DOI] [PubMed] [Google Scholar]
- 44.Werstuck G, Zapp ML, Green MR. A non-canonical base pair within the human immunodeficiency virus rev-responsive element is involved in both rev and small molecule recognition. Chem. Biol. 1996;3:129–137. doi: 10.1016/s1074-5521(96)90289-6. [DOI] [PubMed] [Google Scholar]
- 45.Zapp ML, Stern S, Green MR. Small molecules that selectively block RNA binding of HIV-1 Rev protein inhibit Rev function and viral production. Cell. 1993;74:969–978. doi: 10.1016/0092-8674(93)90720-b. [DOI] [PubMed] [Google Scholar]
- 46.von Ahsen U, Davies J, Schroeder R. Antibiotic inhibition of group I ribozyme function. Nature. 1991;353:368–370. doi: 10.1038/353368a0. [DOI] [PubMed] [Google Scholar]
- 47.Liu Y, Tidwell RR, Leibowitz MJ. Inhibition of in vitro splicing of a group I intron of Pneumocystis carinii. J. Eukaryot. Microbiol. 1994;41:31–38. doi: 10.1111/j.1550-7408.1994.tb05931.x. [DOI] [PubMed] [Google Scholar]
- 48.von Ahsen U, Davies J, Schroeder R. Non-competitive inhibition of group I intron RNA self-splicing by aminoglycoside antibiotics. J. Mol. Biol. 1992;226:935–941. doi: 10.1016/0022-2836(92)91043-o. [DOI] [PubMed] [Google Scholar]
- 49.Michael K, Wang H, Tor Y. Enhanced RNA binding of dimerized aminoglycosides. Bioorg. Med. Chem. 1999;7:1361–1371. doi: 10.1016/s0968-0896(99)00071-1. [DOI] [PubMed] [Google Scholar]
- 50.Hoch I, Berens C, Westhof E, Schroeder R. Antibiotic inhibition of RNA catalysis: neomycin B binds to the catalytic core of the td group I intron displacing essential metal ions. J. Mol. Biol. 1998;282:557–569. doi: 10.1006/jmbi.1998.2035. [DOI] [PubMed] [Google Scholar]
- 51.Tor Y, Hermann T, Westhof E. Deciphering RNA recognition: aminoglycoside binding to the hammerhead ribozyme. Chem. Biol. 1998;5:R277–283. doi: 10.1016/s1074-5521(98)90286-1. [DOI] [PubMed] [Google Scholar]
- 52.Chia JS, Wu HL, Wang HW, Chen DS, Chen PJ. Inhibition of Hepatitis Delta Virus Genomic Ribozyme Self-Cleavage by Aminoglycosides. J. Biomed. Sci. 1997;4:208–216. doi: 10.1007/BF02253420. [DOI] [PubMed] [Google Scholar]
- 53.Mikkelsen NE, Brannvall M, Virtanen A, Kirsebom LA. Inhibition of RNase P RNA cleavage by aminoglycosides. Proc. Natl. Acad. Sci. U.S.A. 1999;96:6155–6160. doi: 10.1073/pnas.96.11.6155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schroeder R, Waldsich C, Wank H. Modulation of RNA function by aminoglycoside antibiotics. Embo J. 2000;19:1–9. doi: 10.1093/emboj/19.1.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Werstuck G, Green MR. Controlling gene expression in living cells through small molecule-RNA interactions. Science. 1998;282:296–298. doi: 10.1126/science.282.5387.296. [DOI] [PubMed] [Google Scholar]
- 56.Kwon M, Chun SM, Jeong S, Yu J. In vitro selection of RNA against kanamycin B. Mol. Cells. 2001;11:303–311. [PubMed] [Google Scholar]
- 57.Jiang L, Majumdar A, Hu W, Jaishree TJ, Xu W, Patel DJ. Saccharide-RNA recognition in a complex formed between neomycin B and an RNA aptamer. Structure. 1999;7:817–827. doi: 10.1016/s0969-2126(99)80105-1. [DOI] [PubMed] [Google Scholar]
- 58.Jiang L, Patel DJ. Solution structure of the tobramycin-RNA aptamer complex. Nat. Struct. Biol. 1998;5:769–774. doi: 10.1038/1804. [DOI] [PubMed] [Google Scholar]
- 59.Francois B, Russell RJ, Murray JB, Aboul-ela F, Masquida B, Vicens Q, Westhof E. Crystal structures of complexes between aminoglycosides and decoding A site oligonucleotides: role of the number of rings and positive charges in the specific binding leading to miscoding. Nucleic Acids Res. 2005;33:5677–5690. doi: 10.1093/nar/gki862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Ennifar E, Paillart JC, Bodlenner A, Walter P, Weibel JM, Aubertin AM, Pale P, Dumas P, Marquet R. Targeting the dimerization initiation site of HIV-1 RNA with aminoglycosides: from crystal to cell. Nucleic Acids Res. 2006;34:2328–2339. doi: 10.1093/nar/gkl317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Ennifar E, Paillart JC, Marquet R, Ehresmann B, Ehresmann C, Dumas P, Walter P. HIV-1 RNA dimerization initiation site is structurally similar to the ribosomal A site and binds aminoglycoside antibiotics. J. Biol. Chem. 2003;278:2723–2730. doi: 10.1074/jbc.M205726200. [DOI] [PubMed] [Google Scholar]
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