Abstract
Fluorine labeling of ribonucleic acids (RNA) in conjunction with 19F NMR spectroscopy has emerged as a powerful strategy for spectroscopic analysis of RNA structure and dynamics, and RNA‐ligand interactions. This study presents the first syntheses of 2′‐OCF3 guanosine and uridine phosphoramidites, their incorporation into oligoribonucleotides by solid‐phase synthesis and a comprehensive study of their properties. NMR spectroscopic analysis showed that the 2′‐OCF3 modification is associated with preferential C2′‐endo conformation of the U and G ribose in single‐stranded RNA. When paired to the complementary strand, slight destabilization of the duplex caused by the modification was revealed by UV melting curve analysis. Moreover, the power of the 2′‐OCF3 label for NMR spectroscopy is demonstrated by dissecting RNA pseudoknot folding and its binding to a small molecule. Furthermore, the 2′‐OCF3 modification has potential for applications in therapeutic oligonucleotides. To this end, three 2′‐OCF3 modified siRNAs were tested in silencing of the BASP1 gene which indicated enhanced performance for one of them. Importantly, together with earlier work, the present study completes the set of 2′‐OCF3 nucleoside phosphoramidites to all four standard nucleobases (A, U, C, G) and hence enables applications that utilize the favorable properties of the 2′‐OCF3 group without any restrictions in placing the modification into the RNA target sequence.
Keywords: 19F NMR spectroscopy, nucleoside modifications, oligonucleotides, RNA solid-phase synthesis, trifluoromethyl
Synthetic RNA with novel fluorine labeling patterns is presented. The study completes the set of 2′‐OCF3 nucleoside phosphoramidites to all four standard nucleobases and enables advanced NMR spectroscopic and cellular applications that utilize the favorable properties of the 2′‐OCF3 group without any RNA sequence restrictions.

Introduction
Among the multiple chemical and biophysical approaches to gain insights into RNA structural dynamics and RNA interactions with proteins, other nucleic acids, or small molecules, the use of fluorine labeled RNA combined with 19F NMR spectroscopy has attracted significant interest in recent years.[ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ] This is due to the exceptional properties of fluorine which include its 100 % natural abundance and consequent high NMR sensitivity. Moreover, fluorine exhibits a significant chemical shift dispersion, rendering it highly responsive to conformational and environmental changes. Fluorine atoms are hardly encountered in native biomolecular systems which is advantageous to monitor the 19F NMR signal in complex substance mixtures, for example in cellular extracts or in small‐molecule ligand libraries. However, on the other hand, the lack of fluorine in biomolecules is a drawback because labeling of the biomolecule with a 19F handle is required and this is particularly challenging for RNA.
Recently, we have reported on 2′‐O‐trifluoromethyl cytidine and ‐adenosine modified RNA as a remarkable labeling concept for NMR spectroscopic applications. [45] The ribose 2′‐OCF3 group has the advantage over the widely used 2′‐SCF3 label[ 28 , 29 , 30 ] in that it is less thermodynamically destabilizing when residing in a double helix. This conforms with access to more diverse labeling patterns allowing to address a broader scope of research questions. In the previous study we demonstrated that 2′‐OCF3 cytidine and adenosine phosphoramidites are readily incorporated into RNA by solid‐phase RNA synthesis with yields that are similar to phosphoramidites of the four standard nucleosides (A, C, G, U). [45] Likewise, deprotection follows the standard protocol. Both facts make 2′‐OCF3 labeled RNA accessible with lengths up to 65 and more nucleotides. [45]
The introduction of the CF3 label at the 2′‐OH group of the nucleoside is more challenging and admittedly remains an unsolved problem with respect to a high‐yielding synthesis of the building blocks.[ 46 , 47 ] Accepting the foreseeable low yields for the actual 2′‐OH into 2′‐OCF3 transformation, we set out to expand the set of building blocks toward 2′‐OCF3 guanosine and uridine phosphoramidites. This expansion is urgently needed because thus far, the outstanding performance of the OCF3 label in NMR spectroscopic approaches has been restricted to adenosine and cytidine labeling patterns in target RNA. [45] Here, we demonstrate how to overcome these restrictions by generating access to the complete set of 2′‐OCF3 nucleosides for RNA labeling. Consequently, any RNA sequence with site‐specific 2′‐OCF3 modifications can be furnished by solid‐phase synthesis for spectroscopic, biochemical, biomedical, and potentially therapeutic applications.
Results and Discussion
Traditionally, trifluoromethyl ethers are synthesized de novo under harsh reaction conditions using difficult‐to‐handle chemicals, and requiring pre‐functionalized compounds. These methods are limited in practicality/user friendliness and scope. [48] Conceptually, direct OCF3 formation via electrophilic trifluoromethylation of alcohols is the most practically straightforward approach. It is also considered to be more tolerant to diverse functional groups, but unfortunately, it is the least explored approach, with only few reagents known in the literature that are capable of this transformation. [48] For instance, a O‐(trifluoromethyl) dibenzofuranium salt was successfully employed for the formation of aryl and alkyl trifluoromethyl ethers, [49] however, the preparation of the reagent is challenging. Later, the use of a hypervalent iodine compound for the trifluoromethylation of primary and secondary alcohols using zinc triflimide was reported. [50] A drawback, however, was the requirement for a large excess of the alcohol component. Further developments recently led to an electrophilic trifluoromethylating reagent that combines the hypervalent iodine motif with a sulfoximine ligand (HYPISUL), [51] allowing for a broader substrate scope for trifluoromethylation of a variety of secondary and biorelevant alcohols featuring various functional groups. This reagent seems promising but broad applicability remains to be demonstrated.
Since the above mentioned approaches for trifluoromethylation did not work out in our hands on nucleosides, we decided to focus on the transformation of ribonucleoside 2′‐O methyl xanthates to the corresponding 2′‐OCF3 modified counterparts albeit this reaction gives generally low yields.[ 47 , 48 ] For guanosine, this path was expected to require nucleobase protection to prevent unintended alkylation during methylation of the xanthogenate using methyliodide. Therefore, O 6‐(4‐nitrophenyl)ethyl (NPE) together with N 2‐acyl or N 2‐amidine protection was envisaged which additionally promised sufficient solubility in organic solvent required for practicable workup and isolation of the trifluoromethylated nucleoside derivative with free 5′ and 3′‐OH groups. In this respect, the xanthogenate approach might also be problematic for uridine, however, if so, we were confident that access to 2′‐OCF3 U should be feasible by transformation of 2′‐OCF3 cytidine into the corresponding uridine.
Synthesis of 2′‐OCF3 guanosine
The synthetic route to building block G9 (Scheme 1) started from guanosine G1, which was acetylated at its ribose hydroxyls and the exocyclic NH2 functionality, providing compound G2. After introduction of the O 6 ‐(4‐nitrophenyl)ethyl group under Mitsunobu conditions furnishing G3 in high yields, selective removal of hydroxylic acetyl groups was achieved in aqueous methanol‐triethylamine solution. Treatment of G4 with 1,3‐dichloro‐1,1,3,3‐tetraisopropyldisiloxane (TIPDSCl2) selectively installed the Markiewicz protecting group at 3′‐O and 5′‐O and left the 2′‐OH available for conversion into the 2′‐O‐(methylthio)thiocarbonyl functionalized compound G6 by the use of tert‐butyl lithium, carbon disulfide and iodomethane. Transformation to the 2′‐O‐trifluoromethyl derivative G7 was accomplished by treatment with N‐bromosuccinimide in hydrofluoric pyridine solution and dichloromethane. Tritylation of the 5′‐OH group proceeded in the presence of 4,4′‐dimethoxytrityl chloride (DMT‐Cl) and dimethylaminopyridine (DMAP) to yield compound G8, which was converted to the corresponding phosphoramidite G9 by reaction with 2‐cyanoethyl N,N‐diisopropylchlorophosphoramidite. This pathway provides compound G9 in eight steps with eight chromatographic purifications in 4 % overall yield; in total, 0.7 g of G9 was obtained in the course of this study.
Scheme 1.

Synthesis of 2′‐OCF3 guanosine building block G9. Reaction conditions: (a) 6.0 equiv Ac2O, 0.5 equiv DMAP, in pyridine, 70 °C, 2 h, 94 %; (b) 1.5 equiv 1‐(4‐nitrophenyl)ethanol, 1.5 equiv PPh3, 1.5 equiv diisopropyl azodicarboxylate (DIAD), in THF, 0 °C to room temperature, 16 h, 91 %; (c) in methanol, water and triethylamine, room temperature, 4 h, 81 %; (d) 1.1 equiv TIPDSCl2, 2.5 equiv imidazole, in DMF, room temperature, 16 h, 84 %; (e) 1.3 equiv tBuLi, 9.0 equiv CS2, 1.3 equiv CH3I, in THF, −75 °C to room temperature, 3 h, 70 %; (f) 5.0 equiv NBS, in HF pyridine and CH2Cl2, −75 °C to 0 °C, 3 h, 16 %; (g) 1.2 equiv DMTCl, 0.3 equiv DMAP, in pyridine, room temperature, 3 h, 83 %; (h) 2.5 equiv 2‐cyanoethyl N,N‐diisopropylchlorophosphoramidite, 7.5 equiv iPr2NEt, 0.5 equiv 1‐methylimidazole, in CH2Cl2, room temperature, 2 h, 77 %.
Synthesis of 2′‐OCF3 uridine
Our diverse and intensive attempts to synthesize 2′‐OCF3 modified uridine directly from uridine unfortunately failed. We therefore conceived a path that includes a pyrimidine nucleobase transformation. The synthetic route to building block U3 (Scheme 2) starts from cytidine C1 which was transformed into N 4‐benzoylated 2′‐OCF3 cytidine C2 in four steps in 9.5 % overall yield, following our previously published protocol. [45] Treatment of C2 with aqueous ammonia in methanol gave the unprotected 2′‐OCF3 cytidine which – after evaporation of the solvents – was directly used for the diazotization reaction with sodium nitrate and acetic acid in aqueous solution to yield 2′‐OCF3 uridine U1. Tritylation of 5′‐OH group was achieved applying 4,4′‐dimethoxytrityl chloride and dimethylaminopyridine to give compound U2, which was further converted into the corresponding phosphoramidite U3 by reaction with 2‐cyanoethyl N,N‐diisopropylchlorophosphoramidite. This pathway provides compound U3 in eight steps with eight chromatographic purifications in 6 % overall yield (starting from cytidine); in total, 1.0 g of U3 was obtained in the course of this study.
Scheme 2.
Synthesis of 2′‐OCF3 uridine building block U3. Reaction conditions: (a) ammonia in methanol, room temperature, 30 min; (b) 1.2 equiv NaNO2, 1.2 equiv acetic acid, H2O/acetone (2 : 1), room temperature, 2 h, 71 % (over two steps); (c) 1.2 equiv DMTCl, 0.3 equiv DMAP, in pyridine, room temperature, 3 h, 89 %; (h) 2.5 equiv 2‐cyanoethyl N,N‐diisopropylchlorophosphoramidite, 7.5 equiv iPr2NEt, 0.5 equiv 1‐methylimidazole, in CH2Cl2, room temperature, 4 h, 94 %.
RNA solid‐phase synthesis
Site‐specific incorporation of 2′‐OCF3 modified guanosine and uridine phosphoramidites G9 and U3 was achieved by standard RNA solid‐phase synthesis protocols in combination with N‐acetylated 2′‐O‐[(triisopropylsilyl)oxy]methyl (TOM) phosphoramidites and proceeded with high coupling rates (>98 %) according to trityl monitoring.[ 52 , 53 ] Oligonucleotides were cleaved from the solid support and deprotected by treatment with methylamine/ammonia in water (AMA) at 65 °C, followed by reaction with tetra‐n‐butylammonium fluoride (TBAF) in tetrahydrofuran. Crude RNAs were desalted by size‐exclusion chromatography and purified on anion‐exchange columns under denaturing conditions (20 % acetonitrile, 80 °C) (Figure 1). To confirm molecular weights, the purified RNAs were analyzed by liquid‐chromatography (LC) electrospray‐ionization (ESI) mass spectrometry (MS) (Figure 1). An overview of the synthesized 2′‐OCF3 RNAs is provided in Supporting Table 1.
Figure 1.

Characterization of 2′‐OCF3 guanosine and 2′‐OCF3 uridine modified RNA. Anion‐exchange HPLC traces (top) of 9 nt RNA (A), 33 nt RNA (B), and 8 nt RNA (C), and corresponding LC‐ESI mass spectra (bottom). HPLC conditions: Dionex DNAPac PA‐1/200 column (4×250 mm), 80 °C, 1 mL min−1, 0–60 % buffer B in 45 min; buffer A: Tris‐HCl (25 mM), 20 % acetonitrile, pH 8.0; buffer B: Tris‐HCl (25 mM), 20 % acetonitrile, NaClO4 (0.5 M), pH 8.0. For LC‐ESI MS conditions, see the Supporting Information.
Table 1.
Thermodynamic parameters of 2’‐OCF3 modified and reference RNAs obtained by UV melting profile analysis.[a]
|
Sequence (5’→3’) |
Tm [°C] |
ΔG°298 [kcal mol−1] |
ΔH° [kcal mol−1] |
ΔS° [cal mol−1 K−1] |
|---|---|---|---|---|
|
GGUCGACC |
58.2 |
−14.5 |
−78.0 |
−213 |
|
GGUC(2’‐OCF3‐G)ACC |
50.8 |
−12.2 |
−69.4 |
−192 |
|
GUC(2’‐SCF3‐G)ACC[b] |
35.0 |
−7.8 |
−72.3 |
−216 |
|
GAAGGGCAACCUUCG |
73.3 |
−7.0 |
−52.8 |
−153 |
|
GAA(2’‐OCF3‐G)‐GGCAACCUUCG |
68.5 |
−6.7 |
−54.4 |
−160 |
|
GAA(2’‐SCF3‐G)‐GGCAACCUUCG[b] |
57.5 |
−5.3 |
−54.7 |
−166 |
|
GGCUAGCC |
60.5 |
−15.3 |
−80.2 |
−218 |
|
GGC(2’‐OCF3‐U)AGCC |
54.8 |
−13.7 |
−76.2 |
−210 |
|
GAAGGGCAACCUUCG[c] |
69.9 |
−7.6 |
−57.6 |
−168 |
|
GAAGGGCAACC(2’‐OCF3‐U)UCG[c] |
65.3 |
−6.7 |
−55.3 |
−163 |
[a] Buffer conditions: 10 mM Na2HPO4, 150 mM NaCl, pH 7.0. ΔH and ΔS values were obtained by van't Hoff analysis according to references 54 and 55. Errors for ΔH and ΔS, arising from non‐infinite cooperativity of two‐state transitions and from the assumption of a temperature‐independent enthalpy, are typically 10–15 %. Additional error is introduced when free energies are extrapolated far from melting transitions; errors for ΔG are typically 3–5 %. [b] Data reproduced from Ref. [29]. [c] Buffer: Same as [a] but 100 mM NaCl.
Thermodynamic stability of 2′‐OCF3 modified RNA
We investigated the impact of a single 2′‐OCF3 guanosine modification on RNA pairing stability, determined by UV spectroscopic thermal denaturation studies. For instance, melting profile analysis of the 5′‐GAA(2′‐OCF3‐G)G‐GCAA‐CCUUCG hairpin RNA (Table 1, Figure 2A) resulted in a 4.8 °C decrease of the Tm value (Tm 68.5 °C) compared to the unmodified analog (Tm 73.3 °C). When 2′‐OCF3‐G resided in the self‐complementary RNA 5′‐GGUC(2′‐OCF3‐G)ACC (Figure 2B), the decrease of melting temperature amounted to 7.4 °C (Tm 50.8 °C) compared to the unmodified counterpart (Tm 58.2 °C). This corresponds to a 3.7 °C drop per base pair containing a 2′‐OCF3 guanosine.
Figure 2.

Thermal stabilities of unmodified versus 2′‐OCF3 modified oligoribonucleotides. UV‐melting profiles of 2′‐OCF3 guanosine containing hairpin (A) and self‐complementary duplex (B) with the modification located in the base‐pairing region. (C, D) Same as (A, B) but with 2′‐OCF3 uridine. Conditions: c(RNA)=8 μM (hairpin A), 12 μM (palindrome B); 10 mM Na2HPO4, 150 mM NaCl (for A, B)), 100 mM NaCl (for C, D), pH 7.0. Nucleotides in red color indicate the positions for 2’‐OCF3 modification.
Likewise, RNA containing 2′‐OCF3 uridine were slightly destabilized. This time, we reduced the NaCl concentration from 150 to 100 mM NaCl under otherwise same buffer conditions. Melting profile analysis of the 5′‐GAAGG‐GCAA‐CC(2′‐OCF3‐U)UCG hairpin RNA (Figure 2A) resulted in a 4.6 °C decrease of the Tm value (Tm 65.3 °C) compared to the unmodified analog (Tm 69.9 °C). When 2′‐OCF3‐U was placed in the self‐complementary RNA 5′‐GGC(2′‐OCF3‐U)GACC (Figure 2B), the decrease of melting temperature amounted to 5.7 °C (Tm 54.8 °C) compared to the unmodified counterpart (Tm 60.5 °C). This corresponds to a 2.8 °C drop per base pair containing a 2′‐OCF3 uridine.
Taken together, the UV melting study demonstrated that 2′‐OCF3 modified RNA is significantly less thermodynamically destabilizing in comparison to the previously reported 2′‐SCF3 RNAs (Table 1), [29] It otherwise retains all the advantages for 19F NMR spectroscopy attributed to the CF3 group, and therefore, a much broader range of applications is foreseeable for 2′‐OCF3 RNA.
2′‐OCF3 ribose conformation
A major determinant for modified nucleotide helix stability is a label‘s preference to adopt C2′‐endo or C3′‐endo ribose conformation.[ 56 , 57 , 58 , 59 ] Assuming a simple two state equilibrium between the two sugar puckers, the percental population can be directly calculated from the scalar coupling of H1′ and H2′ of the individual ribose unit. For this purpose, we synthesized the short single‐stranded RNA 5′‐GGCA(2′‐OCF3‐G)AGGC (Figure 3A) and assigned the H2′ of the trifluoromethylated guanosine in position 5 in a 19F/1H NOESY NMR experiment relying on its proximity to the fluorine label. The 3 J coupling constant to H1′(G5) was then obtained from a 2D 1H/1H double quantum filtered COSY spectrum (Figure 3B); it amounted to 7.09 Hz which conforms to a C2′‐endo population of ca. 70 %. For 2′‐OCF3 uridine in the single stranded RNA 5′‐GCCU(2′‐OCF3‐U)UGCC (Figure 3C), the 3 J coupling constant between H1′ and H2′ of the 2′‐OCF3 ribose was determined to be 9.1 Hz which conforms to a C2′‐endo population of 91 %. We mention that only 58 % population for C2′‐endo conformation was measured for 2′‐OCF3 adenosine in the single strand 5′‐GGCAG(2′‐OCF3‐A)GGC. [45] Taken together, these observations provide evidence that forcing the G and U label into a C3′‐endo ribose pucker, as mandatory for a double helical A‐form RNA, results in a higher energetic penalty than for the 2′‐OCF3 adenosine.
Figure 3.

NMR spectroscopic analysis of 2′‐OCF3 guanosine and 2′‐OCF3 uridine containing RNA. (A) 19F and (B) 1H/1H DQFCOSY, 19F/1H HOESY NMR spectra of single‐stranded RNA 5′‐GGCA(2′‐OCF3‐G)AGGC; assignment of the H2′ of 2′‐OCF3 guanosine moiety was based on the 19F/1H NOE cross peak; the 3 J scalar coupling between H2’ and H1’ amounted to 7.1 Hz (71 % C2′ endo). (C) 1H/1H DQFCOSY NMR spectrum of single‐stranded RNA 5′‐GCCU(2′‐OCF3‐U)UGCC; the 3 J scalar coupling between H2′ and H1′ of the 2′‐OCF3 uridine moiety amounted to 9.3 Hz (90 % C2′ endo). Conditions: c(RNA)=0.3 mM; 15 mM Na[AsO2(CH3)2] ⋅ 3H2O, 25 mM NaCl, 3 mM NaN3, in D2O, pH 6.5, 298 K.
Pairing of 5′‐GCCU(2′‐OCF3‐U)UGCC with the complementary RNA strand 5′‐GGCAAAGGC was reflected in a pronounced downfield shift and significant broadening of the 19F signal (Figure 3D), indicating reduced conformational (rotational) freedom of the 2′‐OCF3 group in the minor groove of the formed double helix.
Intrigued by the significant line broadening effect upon duplex formation, we used a Carr‐Purcell‐Meiboom‐Gill (CPMG) relaxation dispersion (RD) experiment to detect and quantify a potential dynamic process on the intermediate chemical shift time scale (Figure 4). For this purpose, we prepared a sample with a slight excess (ca. 20 %) of the single strand carrying the 2′‐OCF3‐U label and run a RD experiment with CPMG field strengths up to 5 kHz. A non‐flat dispersion profile was observed for the duplex CF3 resonance, whereas for the sharp single stranded resonances no significant dispersion profile was found. The high quality dispersion data could be fit to an intermediate two state exchange process by using the Richard‐Carver equation [60] and an in house written MATLAB script. An excited state population of 2.30±0.78 %, an exchange rate k ex (=k forward+k backward) of 15.208±1174 s−1 and a chemical shift difference of 2.32±0.26 ppm was found. We can rule out an exchange process between single and double stranded state, as no RD profile was observed for the single strand resonance. The single stranded 2′‐OCF3‐U populates to ca. 90 % the C2′‐endo state (Figure 3C and D). Correlating the chemical shift difference of the single/double stranded state (Δω 2.16 ppm) to the chemical shift difference between ground and excited state from the RD experiment (Δω 2.32 ppm) supports a sugar pucker equilibrium of the 2′‐OCF3‐U in the duplex between the C2′‐endo (excited state, 2.3 %) and the C3′‐endo (ground state, 97.7 %) sugar pucker.
Figure 4.

Carr‐Purcell‐Meiboom‐Gill (CPMG) relaxation dispersion (RD) experiment to detect and quantify a potential dynamic process of the 2′‐OCF3 modified ribose in single‐stranded vs duplex RNA. (A) RNA sequences and 19F NMR spectra of a mixture of duplex and single strand in a ratio of 1.0 to 1.2. (B) 19F‐relaxation dispersion profiles of 2′‐OCF3 U5 recorded at 565 and 659 MHz 19F‐Larmor frequency. The statistics of the two‐state exchange process are shown as inset (for discussion see main text). R2 (transverse relaxation rate), νCPMG (CPMG field strength). Dots represent experimental data, black crosses repeat experiments and the solid line is the best fit to an intermediate exchange process using the Carver‐Richards equation. MC Monte Carlo iterations for error statistics.
NMR analysis of RNA small molecule binding
RNA with a single 2′‐OCF3 label provides a powerful sensor to monitor RNA folding and RNA interactions with other biomolecules by 19F NMR spectroscopy. In this work, we exemplarily applied the 7‐aminomethyl‐deazaguanine (preQ1) sensing class‐I riboswitch from Thermoanaerobacter tengcongensis (Tte)[ 61 , 62 , 63 , 64 , 65 ] as model system and tested two positions of guanosine (G11 and G34) for their potential to follow Mg2+ induced folding of an RNA pseudoknot and binding of a small molecule (preQ1) to this particular aptamer with high (nanomolar) affinity (Figure 5). In aqueous buffer at pH 6.5, the 2′‐OCF3‐G11 labeled Tte RNA displays a rather broad 19F NMR signal group (Figure 5A, top), indicating multiple RNA loop conformations in the intermediate to slow exchange regime. Only when Mg2+ is added, a single sharp resonance dominates (Figure 5A, middle) which is consistent with a pre‐organized pseudoknot fold in which G11 is base‐paired with C30 (in accordance with crystallography62 and NMR studies[ 63 , 66 ]). The observed Mg2+ induced pseudoknot folding is also in line with the observation by other methods such as 2APfold[ 67 , 68 ] or smFRET spectroscopy.[ 67 , 69 , 70 ] Once the cognate ligand (preQ1) is added, the 19F signal shifts downfield (Figure 5A, bottom) consistent with Watson‐Crick (WC) base pairing of G11‐C30 (see also Figure 3D for comparison). The increased line width of the 19F signal is likely attributed to restricted rotational freedom of the 2′‐OCF3 group in the rigid ligand‐RNA complex.
Figure 5.

NMR spectroscopic evaluation of Mg2+‐induced RNA pseudoknot formation, and subsequent stabilization through binding of a small ligand (Thermoanaerobacter tengcongensis preQ1 class‐I riboswitch), using individually positioned 2’‐OCF3 guanosine labels. 19F NMR spectra of preQ1 riboswitch model 2’‐OCF3 modified at either G11 (A) or G34 (B). Conditions: c(RNA)=0.3 mM; 15 mM Na[AsO2(CH3)2] ⋅ 3H2O, 25 mM NaCl, 3 mM NaN3, 10 % D2O, pH 6.5, 298 K.
A strength of single label RNA 19F NMR analysis as outlined above is the high sensitivity for local conformational rearrangements. In this sense, the 2′‐OCF3‐G11 label reflects changes in the RNA loop conformation, and additionally, responds to pseudoknot formation through WC base pairing to C30. The dynamics of pseudoknot formation can also be pursued from a complementary perspective, namely the RNA 3′‐tail. Accordingly, the 2′‐OCF3‐G34 labeled RNA displays a sharp 19F NMR resonance in Mg2+ free, aqueous buffer at pH 6.5 (Figure 5B, top) which is consistent with a conformationally flexible unpaired single stranded RNA. When Mg2+ is added the fraction of the stem‐loop RNA with dangling 3′‐tail is reduced and two more major 19F NMR signals appear (Figure 5B, middle). One of them is assigned to a conformation which closely resembles the final ligand‐bound RNA fold according to the comparable chemical shift values. The other Mg2+‐induced conformation likely also reflects a closed (pseudoknotted) conformation but it is structurally more distinct from the final ligand‐RNA complex, consistent with the distinct chemical shifts (Figure 5B, bottom).
In summary, this example demonstrates the power and convenience of singly labeled 2′‐OCF3 labeled RNA for the detection of RNA conformational states (including an estimate of the timescale for their exchange) and for the detection of RNA ligand interactions by 1D 19F NMR spectroscopy.
Potential of 2′‐OCF3 RNA for RNA interference
As a novel application for the 2′‐OCF3 modification, we tested the potential of this modification for gene silencing by small interfering RNA (siRNA). The structural proximity of 2′‐OCF3 to 2′‐OCH3 makes it a promising candidate for such applications, in particular under the aspect that 2′‐OCH3 represents the most frequently encountered modification in clinically approved oligonucleotide therapeutics. [71] Albeit the 2′‐OCF3 has a slight destabilizing effect on duplex stability which is not necessarily a disadvantage. Nucleosides with destabilizing effects on Watson‐Crick base pairing are of specific interest for the development of oligonucleotide therapeutics.[ 72 , 73 , 74 ] Most prominent is the unlocked nucleic acid (UNA) missing the covalent bond between C2′ and C3′ of a ribose. [71] UNA modifications facilitate antisense strand selection as the RISC guide, and UNA inserts to the seed region of the siRNA guide strand can significantly reduce off target effects. [75]
Here, we intended to explore the performance of 2′‐OCF3 for siRNA applications. We employed the model system used previously to knock down the brain acid soluble protein 1 (BASP1) encoding gene by transient siRNA nucleofection in the chicken DF‐1 cell line. [76] Expression of the BASP1 gene is specifically downregulated by the evolutionary conserved oncoprotein Myc; [77] conversely, the BASP1 protein is an inhibitor of Myc‐induced cell transformation. [76]
We synthesized three siRNA duplexes for the BASP1 target gene with the sequence organization depicted in Figure 6A (Supporting Information, Supporting Table 2). The modifications were placed in the antisense strands, two of the siRNA contained a single modification (U6 as; U9 as), and the third one contained both modifications (U6/U9 as).
Figure 6.

Gene silencing by 2′‐OCF3 modified siRNAs. (A) Sequence of the brain acid soluble protein 1 gene (BASP1) [76] targeting siRNA duplex used in this study; nucleosides in red indicate positions for the modification tested. (B) Biological activities of 2’‐OCF3 modified siRNAs, directed against BASP1 mRNA. Chicken DF‐1 cells grown on 60 mm dishes were transiently nucleofected with 0.24 nmol (∼3.0 μg) aliquots of the individual siRNAs. An equal aliquot of siRNA with a shuffled (random) nucleotide sequence was used as a control. Total RNAs were isolated 2 days after siRNA delivery, and 5 μg of aliquots were analyzed by Northern hybridization using a digoxigenin‐labeled DNA probe specific for the chicken BASP1 gene, and subsequently with a digoxigenin‐labeled probe specific for the housekeeping chicken GAPDH gene. Sizes for the mRNAs are: BASP1, 2.0 kb; GAPDH, 1.4 kb. The levels (%) of BASP1 expression were determined using the program ImageQuant TL and are depicted as bars in relation to mock transfections (no siRNA, 100 %). Vertical bars show standard deviations (SD) from independent experiments (n=3). Statistical significance was assessed by using a paired Student t‐test (***P<0.001, ****P <0.0001). (C) The same as (B) but analyzed by quantitative polymerase chain reaction (qPCR) using each 2.5 ng cDNA template reverse transcribed from total RNA, and primers specific for chicken BASP1 or GAPDH. All siRNAs depicted contain overhangs of 2′‐deoxynucleosides (lower case letters). (D) Immunoblot analysis using cell extracts prepared 3 days after siRNA delivery and antibodies specific for the BASP1 or GAPDH proteins. The levels (%) of BASP1 expression were determined using the program ImageQuant TL and are depicted as bars in relation to mock transfections (no siRNA, 100 %). Vertical bars show standard deviations (SD) from independent experiments (n=4). Statistical significance was assessed by using a paired Student t‐test (**P<0.01, ***P<0.001, ****P<0.0001).
Expression of the BASP1 gene and of its protein product BASP1 were monitored by Northern and qPCR analysis, and by immunoblotting, respectively. The modified siRNAs U9 and U6/9 caused comparable gene silencing as observed for the unmodified reference siRNA. The siRNA U6 – with the modification residing inside the seed region – displayed even slightly increased repression compared to the unmodified siRNA duplex (Figure 6B–D). These results point at the potential of 2′‐OCF3 modifications to tailor siRNAs with advanced performance. In particular, our observation for improved repression of the BASP1 gene with an siRNA carrying the 2′‐OCF3 group in the seed region warrants more comprehensive studies along these lines in the future. [72]
Conclusions
Numerous 19F labels for NMR spectroscopy of nucleic acids have been developed previously. These include single fluorine labels, such as pyrimidine 5‐F,[ 16 , 17 , 18 , 19 , 20 ] ribose 2′‐F[ 21 , 22 , 23 , 24 , 25 ] and 4′‐F, [3] as well as trifluoromethyl labels like pyrimidine 5‐CF3, [26] guanine 8‐CF3, [31] ribose 4′‐C‐3[(4‐trifluoromethyl‐1H‐1,2,3‐triazol‐1‐yl)methyl]27 and 2′‐SCF3.[ 28 , 29 , 30 ] Furthermore, a nine‐fluorine‐atom label in the form of 5‐[4,4,4‐trifluoro‐3,3‐bis(trifluoromethyl)but‐1‐ynyl] 2′‐deoxyuridine has also been utilized. [4] Among these options, the ribose trifluoromethyl labels stand out because they meet several important criteria for the practicability of 19F NMR approaches at the same time. These are their relatively small size, no need for proton decoupling, high sensitivity, large chemical shift dispersion, and equivalent labeling position for all of the four standard nucleosides. Towards this end, we introduced 2′‐OCF3 cytidine and ‐adenosine labeled RNA recently, [45] and demonstrated that their thermodynamic base pairing properties are superior compared to the thus far more established 2′‐trifluoromethylthio RNA labeling concept.[ 28 , 29 , 30 , 45 ] In the present study, we extend the 2′‐OCF3 labeling concept towards guanosine and ‐uridine and hence ensure utmost flexibility for labeling any nucleotide within an RNA target sequence. Additionally, we show first biochemical applications. These advancements hold great potential to accelerate the adoption and utilization of the 2′‐OCF3 RNA approach on a much broader scale.
Experimental Section
For the syntheses and characterization data of compounds G2 to G9 and U1 to U3 see the Supporting Information.
RNA solid‐phase synthesis
Standard phosphoramidite chemistry was applied for RNA strand elongation and incorporation of 2′‐OCF3 modified nucleoside phosphoramidites: 2′‐O‐TOM standard RNA nucleoside phosphoramidite building blocks and 2’‐O‐TBDMS 1000 Å CPG solid support were purchased from ChemGenes. All oligonucleotides were synthesized on ABI 391/392 or a K&A H‐6/H‐8 nucleic acid synthesizers following standard methods: detritylation (90 sec) with dichloroacetic acid/1,2‐dichloroethane (4/96); coupling (5.0 min) with phosphoramidites/acetonitrile (100 mM, 200 μL) and benzylthiotetrazole/acetonitrile (300 mM, 500 μL); capping (2×25 sec) with Cap A/Cap B (1/1), Cap A: 4‐(dimethylamino)pyridine/acetonitrile (500 mM), Cap B: acetic anhydride/sym‐collidine/acetonitrile (2/3/5); oxidation (60 sec) with iodine (20 mM) in tetrahydrofuran/pyridine/H2O (35/10/5). Solutions of phosphoramidites and tetrazole were dried over activated molecular sieves (3 Å) overnight.
Deprotection of 2′‐OCF3 modified RNA
Solid support was treated with methylamine/ethanol (33 %, 0.7 mL) and methylamine/H2O (40 %, 0.7 mL) for 6 h at 37 °C. Supernatant was removed and solid support was washed thrice with tetrahydrofuran/H2O (1/1). Combined supernatant and washings were evaporated to dryness and the residue was dissolved in a solution of tetrabutylammonium fluoride in tetrahydrofuran (1.0 M, 1.5 mL) and incubated for 16 h at 37 °C for removal of 2’‐O‐silyl protecting groups. The reaction was quenched by addition of tetraethylammonium acetate/H2O (1.0 M, 1.5 mL, pH 7.4). The solution was reduced to one third of the original volume and desalted with size‐exclusion column chromatography (GE Healthcare, HiPrepTM 26/10 Desalting; Sephadex G25) eluting with H2O; collected fractions were evaporated and the RNA dissolved in H2O (1 mL) for immediate use or storage at −20 °C.
Purification of 2′‐OCF3 modified RNA
Crude RNA was purified by anion exchange chromatography on a semipreparative Dionex DNAPac® PA‐100 column (9 mm×250 mm) at 80 °C with 2 mL/min flow rate (Eluent A: 20 mM NaClO4 and 25 mM Tris‐HCl (pH 8.0) in 20 % aqueous acetonitrile ; Eluent B: 0.6 M NaClO4 and 25 mM Tris‐HCl (pH 8.0) in 20 % aqueous acetonitrile. Fractions containing RNA were diluted with 0.1 M triethylammonium bicarbonate solution, loaded on a C18 SepPak Plus® cartridge (Waters/Millipore), washed with H2O and eluted with acetonitrile/H2O (1/1).
HPLC analysis and quantification of 2′‐OCF3 modified RNA
Analysis of crude and purified RNA was performed by anion exchange chromatography on a Dionex DNAPac® PA‐100 column (4 mm×250 mm) at 80 °C with flow rate of 1 mL/min. For RNA shorter or equal to 15 nucleotides, a gradient of 0–40 % B in 30 min and for RNA longer than 15 nucleotides a gradient of 0–60 % B was used; Eluent A: 20 mM NaClO4 and 25 mM Tris‐HCl (pH 8.0) in 20 % aqueous acetonitrile; Eluent B: 0.6 M NaClO4 and 25 mM Tris‐HCl (pH 8.0) in 20 % aqueous acetonitrile. HPLC traces were recorded at UV absorption at 260 nm. The RNA was quantified on an Implen P300 Nanophotometer.
Mass spectrometry of 2′‐OCF3 modified RNA
RNA samples (3 μL) were diluted with 40 mM Na2H2(EDTA)/H2O (5/4) for a total volume of 30 μL, injected onto C18 XBridge 2.5 μm (2.1 mm×50 mm) at a flow rate of 0.1 mL/min and eluted with 0–100 % B gradient at 30 °C (Eluent A: 8.6 mM triethylamine, 100 mM 1,1,1,3,3,3‐hexafluoroisopropanol in H2O; Eluent B: methanol). RNA traces were analyzed on a Finnigan LCQ Advantage Max electrospray ionization mass spectrometer with 4.0 kV spray voltage in negative mode.
NMR measurements of 2′‐OCF3 modified RNA
RNA samples were lyophilized as triethylammonium salts and dissolved either in 280 μL or 400 μL NMR buffer (15 mM Na[AsO2(CH3)2] ⋅ 3H2O, 25 mM NaCl, 3 mM NaN3, in D2O or 9/1 H2O/D2O, pH 6.5) and transferred into restricted volume Shigemi tubes or standard 5 mm NMR tubes. Sample concentrations varied between 0.1 and 1 mM and experiments were run at 298 K unless otherwise stated. All NMR experiments were conducted on a Bruker 600 MHz Avance II+ NMR or a 700 MHz Avance Neo NMR both equipped with a Prodigy TCI probe.
1D 19F NMR spectra were typically acquired using the following parameters: spectral width 10 ppm, o1p −60 ppm, 32k complex data points. 128 scans were collected with a recycling delay of 1 s resulting in an experimental time of 4 min.
For the 2D 19F‐13C HMQC experiments at natural 13C abundance the following parameters were used: spectral width in the indirect 13C dimension was set to 10 ppm, and the spectral width in the direct 19F dimension was set to 10 ppm. A total of 64 complex points was collected in the indirect 13C dimension (acquisition time=21 ms) and 1024 complex points were collected in the direct 19F dimension (acquisition time=91 ms). 768 scans were collected with a recycling delay of 1 s resulting in an experimental time of 16 h. The carrier frequency was placed at −58 ppm in the 19F dimension and in the 13C dimension at 120 ppm. The 1JCF coupling constant was set to 270 Hz.
The pulse sequence for the 19F CPMG relaxation dispersion experiment was previously published. [78] Per CPMG field strength 256 scans were collected and a CPMG relaxation delay of 16 ms was used. Data was acquired at twenty‐four CPMG field strengths (0, 125, 250 (2×), 500, 750, 1000 (2×), 1250 (2×), 1500, 1875, 2250, 2500, 2750 (2×), 3125, 3375, 3750 (2×), 4000, 4250, 4500, and 5000 Hz. The 19F CPMG relaxation dispersion experiments were run at 565 and 659 KHz and each spectrum took ca. 3 h measurement time. The spectra were processed using Topspin 4.2.0 and the dispersion profile was fitted to the Carver‐Richard equation by using an in‐house written MATLAB script.
For experimental details concerning RNA interference and analysis of gene silencing see the Supporting Information.
Supporting Information
The authors have cited additional references within the Supporting Information.[ 79 , 80 ]
Conflict of interest
The authors declare no conflict of interest.
1.
Supporting information
As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Supporting Information
Acknowledgments
This work was supported by the Austrian Science Fund FWF (P31691, F8011‐B to R.M; P32773, I5287 to C.K.; P33662 to M.H.), the Austrian Research Promotion Agency FFG [West Austrian BioNMR 858017], and the Wiener Wissenschafts‐, Forschungs‐ und Technologiefonds (WWTF LS17‐003).
Eichler C., Himmelstoß M., Plangger R., Weber L. I., Hartl M., Kreutz C., Micura R., Chem. Eur. J. 2023, 29, e202302220.
Contributor Information
Prof. Dr. Christoph Kreutz, Email: christoph.kreutz@uibk.ac.at, http://www.uibk.ac.at/organic/ag‐kreutz/, http://www.uibk.ac.at/organic/micura/.
Prof. Dr. Ronald Micura, Email: ronald.micura@uibk.ac.at.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1. Cobb S., Murphy C., J. Fluorine Chem. 2009, 130, 132–143. [Google Scholar]
- 2. Guo F., Li Q., Zhou C., Org. Biomol. Chem. 2017, 15, 9552–9565. [DOI] [PubMed] [Google Scholar]
- 3. Li Q., Chen J., Trajkovski M., Zhou Y., Fan C., Lu K., Tang P., Su X., Plavec J., Xi Z., Zhou C., J. Am. Chem. Soc. 2020, 142, 4739–4748. [DOI] [PubMed] [Google Scholar]
- 4. Kiviniemi A., Virta P., J. Am. Chem. Soc. 2010, 132, 8560–8562. [DOI] [PubMed] [Google Scholar]
- 5. Sochor F., Silvers R., Müller D., Richter C., Fürtig B., Schwalbe H., J. Biomol. NMR 2016, 64, 63–74. [DOI] [PubMed] [Google Scholar]
- 6. Moumné R., Pasco M., Prost E., Lecourt T., Micouin L., Tisné C., J. Am. Chem. Soc. 2010, 132, 13111–13113. [DOI] [PubMed] [Google Scholar]
- 7. Huang W., Varani G., Drobny G. P., J. Am. Chem. Soc. 2010, 132, 17643–17645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Liu L., Byeon I. J., Bahar I., Gronenborn A. M., J. Am. Chem. Soc. 2012, 134, 4229–4235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Graber D., Moroder H., Micura R., J. Am. Chem. Soc. 2008, 130, 17230–17231. [DOI] [PubMed] [Google Scholar]
- 10. Egli M., Manoharan M., Acc. Chem. Res. 2019, 52, 1036–1047. [DOI] [PubMed] [Google Scholar]
- 11. Wadhwani P., Strandberg E., Heidenreich N., Bürck J., Fanghan̈el S., Ulrich A. S., J. Am. Chem. Soc. 2012, 134, 6512–6515. [DOI] [PubMed] [Google Scholar]
- 12. Bao H. L., Ishizuka T., Sakamoto T., Fujimoto K., Uechi T., Kenmochi N., Xu Y., Nucleic Acids Res. 2017, 45, 5501–5511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Purser S., Moore P. R., Swallow S., Gouverneur V., Chem. Soc. Rev. 2008, 37, 320–330. [DOI] [PubMed] [Google Scholar]
- 14. Li C., Wang G.-F., Wang Y., Creager-Allen R., Lutz E. A., Scronce H., Slade K. M., Ruf R. A. S., Mehl R. A., Pielak G. J., J. Am. Chem. Soc. 2010, 132, 321–327. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Malek-Adamian E., Guenther D. C., Matsuda S., Martínez-Montero S., Zlatev I., Harp J., Burai Patrascu M., Foster D. J., Fakhoury J., Perkins L., Moitessier N., Manoharan R. M., Taneja N., Bisbe A., Charisse K., Maier M., Rajeev K. G., Egli M., Manoharan M., Damha M. J., J. Am. Chem. Soc. 2017, 139, 14542–14555. [DOI] [PubMed] [Google Scholar]
- 16. Hennig M., Scott L. G., Sperling E., Bermel W., Williamson J. R., J. Am. Chem. Soc. 2007, 129, 14911–14921. [DOI] [PubMed] [Google Scholar]
- 17. Puffer B., Kreutz C., Rieder U., Ebert M. O., Konrat R., Micura R., Nucleic Acids Res. 2009, 37, 7728–7740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Hennig M., Munzarova M. L., Bermel W., Scott L. G., Sklenar V., Williamson J. R., J. Am. Chem. Soc. 2006, 128, 5851–5858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Scott L. G., Hennig M., Methods Enzymol. 2016, 566, 59–87. [DOI] [PubMed] [Google Scholar]
- 20. Olejniczak M., Gdaniec Z., Fischer A., Grabarkiewicz T., Bielecki L., Adamiak R. W., Nucleic Acids Res. 2002, 30, 4241–4249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Luy B., Merino J. P., J. Biomol. NMR 2001, 20, 39–47. [DOI] [PubMed] [Google Scholar]
- 22. Reif B., Wittmann V., Schwalbe H., Griesinger C., Wörner K., Jahn-Hofmann K., Engels J. W., Bermel W., Helv. Chim. Acta 1997, 80, 1952–1971. [Google Scholar]
- 23. Kreutz C., Kählig H., Konrat R., Micura R., J. Am. Chem. Soc. 2005, 127, 11558–11559. [DOI] [PubMed] [Google Scholar]
- 24. Kreutz C., Kaḧlig H., Konrat R., Micura R., Angew. Chem. Int. Ed. 2006, 45, 3450–3453. [DOI] [PubMed] [Google Scholar]
- 25. Patra A., Paolillo M., Charisse K., Manoharan M., Rozners E., Egli M., Angew. Chem. Int. Ed. 2012, 51, 11863–11866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Granqvist L., Virta P., J. Org. Chem. 2014, 79, 3529–3536. [DOI] [PubMed] [Google Scholar]
- 27. Gmeiner W. H., Pon R. T., Lown J. W., J. Org. Chem. 1991, 56, 3602–3608. [Google Scholar]
- 28. Fauster K., Kreutz C., Micura R., Angew. Chem. Int. Ed. 2012, 51, 13080–13084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Košutić M., Jud L., Da Veiga C., Frener M., Fauster K., Kreutz C., Ennifar E., Micura R., J. Am. Chem. Soc. 2014, 136, 6656–6663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Jud L., Košutić M., Schwarz V., Hartl M., Kreutz C., Bister K., Micura R., Chem. Eur. J. 2015, 21, 10400–10407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Bao H.-L., Masuzawa T., Oyoshi T., Xu Y., Nucleic Acids Res. 2020, 48, 7041–7051. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Jan O. H., Vögele J., Nussbaumer F., Duchardt-Ferner E., Kreutz C., Wöhnert J., Sprangers R., Angew. Chem. Int. Ed. 2023, 62, e202218064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. de Jesus V., Schmid J., Fürtig B., J. Mol. Biol. 2022, 434, 167668. [DOI] [PubMed] [Google Scholar]
- 34. Gronenborn A. M., Structure 2022, 30, 6–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Baranowski M. R., Warminski M., Jemielity J., Kowalska J-, Nucleic Acids Res. 2020, 48, 8209–8224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Khatik S. Y., Srivatsan S. G., Bioconjugate Chem. 2022, 33, 1515–1526. [DOI] [PubMed] [Google Scholar]
- 37. Wee W. A., Yum J. H., Hirashima S., Sugiyama H., Park S., RSC Chem. Biol. 2021, 2, 876–882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Olszewska A., Pohl R., Hocek M., J. Org. Chem. 2017, 82, 11431–11439. [DOI] [PubMed] [Google Scholar]
- 39. Olsen G. L., Louie E. A., Drobny G. P., Sigurdsson S. T., Nucleic Acids Res. 2003, 31, 5084–5089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Trempe J. F., Wilds C. J., Denisov A. Y., Pon R. T., Damha M. J., Gehring K., J. Am. Chem. Soc. 2001, 123, 4896–4903. [DOI] [PubMed] [Google Scholar]
- 41. Hammann C., Norman D. G., Lilley D. M., Proc. Natl. Acad. Sci. USA 2001, 98, 5503–5508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Chu W. C., Feiz V., Derrick W. B., Horowitz J., J. Mol. Biol. 1992, 227, 1164–1172. [DOI] [PubMed] [Google Scholar]
- 43. Dempsey M. E., Marble H. D., Shen T. L., Fawzi N. L., Darling E. M., Bioconjugate Chem. 2018, 29, 335–342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Sudakov A., Knezic B., Hengesbach M., Fürtig B., Stirnal E., Schwalbe H., Chem. Eur. J. 2023, 29, e202203368. [DOI] [PubMed] [Google Scholar]
- 45. Himmelstoß M., Erharter K., Renard E., Ennifar E., Kreutz C., Micura R., Chem. Sci. 2020, 11, 11322–11330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Nishizono N., Sumita Y., Ueno Y., Matsuda A., Nucleic Acids Res. 1998, 26, 5067–5072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Kuroboshi M., Suzuki K., Hiyama T., Tetrahedron Lett. 1992, 33, 4173–4176. [Google Scholar]
- 48. Umemoto T., Yang Y., Hammond G. B., Beilstein J. Org. Chem. 2021, 17, 1752–1813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Umemoto T., Adachi K., Ishihara S., J. Org. Chem. 2007, 72, 6905–6917. [DOI] [PubMed] [Google Scholar]
- 50. Koller R., Stanek K., Stolz D., Aardoom R., Niedermann K., Togni A., Angew. Chem. Int. Ed. 2009, 48, 4332–4336. [DOI] [PubMed] [Google Scholar]
- 51. Kalim J., Duhail T., Pietrasiak E., Anselmi E., Magnier E., Togni A., Chem. Eur. J. 2021, 27, 2638–2642. [DOI] [PubMed] [Google Scholar]
- 52. Pitsch S., Weiss P. A., Jenny J., Stutz A., Wu X., Helv. Chim. Acta 2001, 84, 3773–3795. [Google Scholar]
- 53. Wachowius F., Höbartner C., ChemBioChem 2010, 11, 469–480. [DOI] [PubMed] [Google Scholar]
- 54. Marky L. A., Breslauer K. J., Biopolymers 1987, 26, 1601–1620. [DOI] [PubMed] [Google Scholar]
- 55. Petersheim M., Turner D. H., Biochemistry 1983, 22, 256–263. [DOI] [PubMed] [Google Scholar]
- 56. Li L., Szostak J. W., J. Am. Chem. Soc. 2014, 136, 2858–2865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Plavec J., Tong W., Chattopadhyaya J., J. Am. Chem. Soc. 1993, 115, 9734–9746. [Google Scholar]
- 58. Haziri A. I., Leumann C. J., J. Org. Chem. 2012, 77, 5861–5869. [DOI] [PubMed] [Google Scholar]
- 59. Altona C., Sundaralingam M. J., J. Am. Chem. Soc. 1973, 95, 2333–2344. [DOI] [PubMed] [Google Scholar]
- 60. Carver J. P., Richards R. E., J. Magn. Reson. 1972, 6, 89–105. [Google Scholar]
- 61. Roth A., Winkler W. C., Regulski E. E., Lee B. W. K., Lim J., Jona I., Jona I., Barrick J. E., Ritwik A., Kim J. N., Welz R., Iwata-Reuyl D., Breaker R. R., Nat. Struct. Mol. Biol. 2007, 14, 308–317. [DOI] [PubMed] [Google Scholar]
- 62. Jenkins J. L., Krucinska J., McCarty R. M., Bandarian V., Wedekind J. E., J. Biol. Chem. 2011, 286, 24626–24637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Santner T., Rieder U., Kreutz C., Micura R., J. Am. Chem. Soc. 2012, 134, 11928–11931. [DOI] [PubMed] [Google Scholar]
- 64. Neuner S., Santner T., Kreutz C., Micura R., Chem. Eur. J. 2015, 21, 11634–11643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Flemmich L., Heel S., Moreno S., Breuker K., Micura R., Nat. Commun. 2021, 12, 3877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Rückriegel S., Hohmann K. F., Fürtig B., ChemBioChem 2023, e202300228. [DOI] [PubMed] [Google Scholar]
- 67. Haller A., Soulière M. F., Micura R., Acc. Chem. Res. 2011, 44, 1339–1348. [DOI] [PubMed] [Google Scholar]
- 68. Frener M., Micura R., J. Am. Chem. Soc. 2016, 138, 3627–3630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Suddala K. C., Wang J., Hou Q., Walter N. G., J. Am. Chem. Soc. 2015, 137, 14075–14083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Suddala K. C., Rinaldi A. J., Feng J., Mustoe A. M., Eichhorn C. D., Liberman J. A., Wedekind J. E., Al-Hashimi H. M., Brooks C. L. III, Walter N. G., Nucleic Acids Res. 2013, 41, 10462–10475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Egli M., Manoharan M., Nucleic Acids Res. 2023, 51, 2529–2573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Deleavey G. F., Damha M. J., Chem. Biol. 2012, 19, 937–954. [DOI] [PubMed] [Google Scholar]
- 73. Shukla S., Sumaria C. S., Pradeepkumar P. I., ChemMedChem 2010, 5, 328–349. [DOI] [PubMed] [Google Scholar]
- 74. Campbell M. A., Wengel J., Chem. Soc. Rev. 2011, 40, 5680–5689. [DOI] [PubMed] [Google Scholar]
- 75. Vaish N., Chen F., Seth S., Fosnaugh K., Liu Y., Adami R., Brown T., Chen Y., Harvie P., Johns R., Severson G., Granger B., Charmley P., Houston M., Templin M. V., Polisky B., Nucleic Acids Res. 2011, 39, 1823–1832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76. Hartl M., Nist A., Khan M. I., Valovka T., Bister K., Proc. Natl. Acad. Sci. USA 2009, 106, 5604–5609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Hartl M., Mitterstiller A.-M., Valovka T., Breuker K., Hobmayer B., Bister K., Proc. Natl. Acad. Sci. USA 2010, 107, 4051–4056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Overbeck J. H., Kremer W., Sprangers R., J. Biomol. NMR 2020, 74, 753–766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Moreno S., Ramos Pittol J. M., Hartl M., Micura R., Org. Biomol. Chem. 2022, 20, 7845–7850. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Hartl M., Puglisi K., Nist A., Raffeiner P., Bister K., Mol. Oncol. 2020, 14, 625–644. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Supporting Information
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.

