13C-NMR spectroscopic investigation of α- and β-1,4-D-glucose homooligomers

A complete, unambiguous assignment of all the ¹³C signals of cellobiose and maltose has been achieved using methods such as selective proton decoupling, ¹³C selective spin labeling, and isotopic chemical shift induced by deuterium. The chemical-shift variation of the ¹³C signals with the degree of polymerization in each α or β (1 → 4) series is discussed. The chemical-shift dependence on temperature and solvent in these two series is shown and interpreted in terms of modifications of the solvation and of the conformation.     

<Superscript>13</Superscript>C-direct detected NMR experiments for the sequential J-based resonance assignment of RNA oligonucleotides

We present here a set of ¹³C-direct detected NMR experiments to facilitate the resonance assignment of RNA oligonucleotides. Three experiments have been developed: (1) the (H)CC-TOCSY-experiment utilizing a virtual decoupling scheme to assign the intraresidual ribose ¹³C-spins, (2) the (H)CPC-experiment that correlates each phosphorus with the C4′ nuclei of adjacent nucleotides via J(C,P) couplings and (3) the (H)CPC-CCH-TOCSY-experiment that correlates the phosphorus nuclei with the respective C1′,H1′ ribose signals. The experiments were applied to two RNA hairpin structures. The current set of ¹³C-direct detected experiments allows direct and unambiguous assignment of the majority of the hetero nuclei and the identification of the individual ribose moieties following their sequential assignment. Thus, ¹³C-direct detected NMR methods constitute useful complements to the conventional ¹H-detected approach for the resonance assignment of oligonucleotides that is often hindered by the limited chemical shift dispersion. The developed methods can also be applied to large deuterated RNAs.     

Resolution enhanced homonuclear carbon decoupled triple resonance experiments for unambiguous RNA structural characterization

Large RNAs (>30 nucleotides) suffer from extensive resonance overlap that can seriously hamper unambiguous structural characterization. Here we present a set of 3D multinuclear NMR experiments with improved and optimized resolution and sensitivity for aiding with the assignment of RNA molecules. In all these experiments strong base and ribose carbon–carbon couplings are eliminated by homonuclear band-selective decoupling, leading to improved signal to noise and resolution of the C5, C6, and C1′ carbon resonances. This decoupling scheme is applied to base-type selective ¹³C-edited NOESY, ¹³C-edited TOCSY (HCCH, CCH), HCCNH, and ribose H1C1C2 experiments. The 3D implementation of the HCCNH experiment with both carbon and nitrogen evolution enables direct correlation of ¹³C and ¹⁵N resonances at different proton resonant frequencies. The advantages of the new experiments are demonstrated on a 36 nucleotides hairpin RNA from domain 5 (D5) of the group II intron Pylaiella littoralis using an abbreviated assignment strategy. These four experiments provided additional separation for regions of the RNA that have overlapped chemical shift resonances, and enabled the assignment of critical D5 bulge nucleotides that could not be assigned using current experimental schemes.Supplementary material to this paper is available in electronic form at http://dx.doi.org/10.1007/s10858-005-5093-6     

Practical use of chemical shift databases for protein solid-state NMR: 2D chemical shift maps and amino-acid assignment with secondary-structure information

We introduce a Python-based program that utilizes the large database of ¹³C and ¹⁵N chemical shifts in the Biological Magnetic Resonance Bank to rapidly predict the amino acid type and secondary structure from correlated chemical shifts. The program, called PACSYlite Unified Query (PLUQ), is designed to help assign peaks obtained from 2D ¹³C–¹³C, ¹⁵N–¹³C, or 3D ¹⁵N–¹³C–¹³C magic-angle-spinning correlation spectra. We show secondary-structure specific 2D ¹³C–¹³C correlation maps of all twenty amino acids, constructed from a chemical shift database of 262,209 residues. The maps reveal interesting conformation-dependent chemical shift distributions and facilitate searching of correlation peaks during amino-acid type assignment. Based on these correlations, PLUQ outputs the most likely amino acid types and the associated secondary structures from inputs of experimental chemical shifts. We test the assignment accuracy using four high-quality protein structures. Based on only the Cα and Cβ chemical shifts, the highest-ranked PLUQ assignments were 40–60 % correct in both the amino-acid type and the secondary structure. For three input chemical shifts (CO–Cα–Cβ or N–Cα–Cβ), the first-ranked assignments were correct for 60 % of the residues, while within the top three predictions, the correct assignments were found for 80 % of the residues. PLUQ and the chemical shift maps are expected to be useful at the first stage of sequential assignment, for combination with automated sequential assignment programs, and for highly disordered proteins for which secondary structure analysis is the main goal of structure determination.     

Assignment of 13C-NMR Spectra of Grayanotoxin-I and -III

As the first step towards the biosynthetic studies on grayanotoxins with the aid of ¹³C isotope, the ¹³C-NMR spectra of grayanotoxin-I and -III were assigned. Unambiguous assignments were achieved except for the C–9 and C–13 resonances in G-I by selective proton decoupling technique as well as by comparison with chemical shift values of the related compounds.     

Automatic <Superscript>13</Superscript>C chemical shift reference correction for unassigned protein NMR spectra

Poor chemical shift referencing, especially for ¹³C in protein Nuclear Magnetic Resonance (NMR) experiments, fundamentally limits and even prevents effective study of biomacromolecules via NMR, including protein structure determination and analysis of protein dynamics. To solve this problem, we constructed a Bayesian probabilistic framework that circumvents the limitations of previous reference correction methods that required protein resonance assignment and/or three-dimensional protein structure. Our algorithm named Bayesian Model Optimized Reference Correction (BaMORC) can detect and correct ¹³C chemical shift referencing errors before the protein resonance assignment step of analysis and without three-dimensional structure. By combining the BaMORC methodology with a new intra-peaklist grouping algorithm, we created a combined method called Unassigned BaMORC that utilizes only unassigned experimental peak lists and the amino acid sequence. Unassigned BaMORC kept all experimental three-dimensional HN(CO)CACB-type peak lists tested within ±?0.4 ppm of the correct ¹³C reference value. On a much larger unassigned chemical shift test set, the base method kept ¹³C chemical shift referencing errors to within ±?0.45 ppm at a 90% confidence interval. With chemical shift assignments, Assigned BaMORC can detect and correct ¹³C chemical shift referencing errors to within ±?0.22 at a 90% confidence interval. Therefore, Unassigned BaMORC can correct ¹³C chemical shift referencing errors when it will have the most impact, right before protein resonance assignment and other downstream analyses are started. After assignment, chemical shift reference correction can be further refined with Assigned BaMORC. These new methods will allow non-NMR experts to detect and correct ¹³C referencing error at critical early data analysis steps, lowering the bar of NMR expertise required for effective protein NMR analysis.     

Automated and assisted RNA resonance assignment using NMR chemical shift statistics

The three-dimensional structure determination of RNAs by NMR spectroscopy relies on chemical shift assignment, which still constitutes a bottleneck. In order to develop more efficient assignment strategies, we analysed relationships between sequence and ¹H and ¹³C chemical shifts. Statistics of resonances from regularly Watson–Crick base-paired RNA revealed highly characteristic chemical shift clusters. We developed two approaches using these statistics for chemical shift assignment of double-stranded RNA (dsRNA): a manual approach that yields starting points for resonance assignment and simplifies decision trees and an automated approach based on the recently introduced automated resonance assignment algorithm FLYA. Both strategies require only unlabeled RNAs and three 2D spectra for assigning the H2/C2, H5/C5, H6/C6, H8/C8 and H1′/C1′ chemical shifts. The manual approach proved to be efficient and robust when applied to the experimental data of RNAs with a size between 20 nt and 42 nt. The more advanced automated assignment approach was successfully applied to four stem-loop RNAs and a 42 nt siRNA, assigning 92–100% of the resonances from dsRNA regions correctly. This is the first automated approach for chemical shift assignment of non-exchangeable protons of RNA and their corresponding ¹³C resonances, which provides an important step toward automated structure determination of RNAs.     

Optimization of <Superscript>1</Superscript>H decoupling eliminates sideband artifacts in 3D TROSY-based triple resonance experiments

TROSY-based triple resonance experiments are essential for protein backbone assignment of large biomolecular systems by solution NMR spectroscopy. In a survey of the current Bruker pulse sequence library for TROSY-based experiments we found that several sequences were plagued by artifacts that affect spectral quality and hamper data analysis. Specifically, these experiments produce sidebands in the ¹³C(t ₁) dimension with inverted phase corresponding to ¹H_N resonance frequencies, with approximately 5% intensity of the parent ¹³C crosspeaks. These artifacts originate from the modulation of the ¹H_N frequency onto the resonance frequency of ¹³Cα and/or ¹³Cβ and are due to 180° pulses imperfections used for ¹H decoupling during the ¹³C(t ₁) evolution period. These sidebands can become severe for CA_i, CA_i?1 and/or CB_i, CB_i?1 correlation experiments such as TROSY-HNCACB. Here, we implement three alternative decoupling strategies that suppress these artifacts and, depending on the scheme employed, boost the sensitivity up to 14% on Bruker spectrometers. A class of comparable Agilent/Varian pulse sequences that use WALTZ16 ¹H decoupling can also be improved by this method resulting in up to 60–80% increase in sensitivity.     

Broadband homonuclear chemical shift correlation at high MAS frequencies: a study of tanh/tan adiabatic RF pulse schemes without $${^{{\bf 1}}\hbox{{\bf H}}}$$ decoupling during mixing

At high magic angle spinning (MAS) frequencies the potential of tanh/tan adiabatic RF pulse schemes for ¹³C chemical shift correlation without ¹H decoupling during mixing has been evaluated. It is shown via numerical simulations that a continuous train of adiabatic ¹³C inversion pulses applied at high RF field strengths leads to efficient broadband heteronuclear decoupling. It is demonstrated that this can be exploited effectively for generating through-bond and through-space, including double-quantum, correlation spectra of biological systems at high magnetic fields and spinning speeds with no ¹H decoupling applied during the mixing period. Experiments carried out on a polycrystalline sample of histidine clearly suggest that an improved signal to noise ratio can be realised by eliminating ¹H decoupling during mixing.     

Simultaneous <Superscript>1</Superscript>H- or <Superscript>2</Superscript>H-, <Superscript>15</Superscript>N- and multiple-band-selective <Superscript>13</Superscript>C-decoupling during acquisition in <Superscript>13</Superscript>C-detected experiments with proteins and oligonucleotides

Significant resolution improvement in ¹³C,¹³C-TOCSY spectra of uniformly deuterated and ¹³C, ¹⁵N-labeled protein and ¹³C,¹⁵N-labeled RNA samples is achieved by introduction of multiple-band-selective ¹³C-homodecoupling applied simultaneously with ¹H- or ²H- and ¹⁵N-decoupling at all stages of multidimensional experiments including signal acquisition period. The application of single, double or triple band-selective ¹³C-decoupling in 2D-[¹³C,¹³C]-TOCSY experiments during acquisition strongly simplifies the homonuclear splitting pattern. The technical aspects of complex multiple-band homonuclear decoupling and hardware requirements are discussed. The use of this technique (i) facilitates the resonance assignment process as it reduces signal overlap in homonuclear ¹³C-spectra and (ii) possibly improves the signal-to-noise ratio through multiplet collapse. It can be applied in any ¹³C-detected experiment.     

13C NMR Spectra of some D:A-friedo-oleananes

The ¹³C NMR signals of D:A-friedo-olean-7-one, putranjivadione, D:A-friedo-olean-22-one, D:A-friedo-olean-3,22-dione, and Salacia triterpene R have been assigned using off-resonance decoupling and lanthanide induced shift techniques. ¹³C NMR data provide further evidence for the boat-boat conformation for the D and E rings of D:A-friedo-oleananes in solution.     

Base-type-selective high-resolution 13C edited NOESY for sequential assignment of large RNAs

Extensive spectral overlap presents a major problem for the NMR study of large RNAs. Here we present NMR techniques for resolution enhancement and spectral simplification of fully ¹³C labelled RNA. High-resolution ¹H-¹³C correlation spectra are obtained by combining TROSY-type experiments with multiple-band-selective homonuclear ¹³C decoupling. An additional C-C filter sequence performs base-type-selective spectral editing. Signal loss during the filter is significantly reduced because of TROSY-type spin evolution. These tools can be inserted in any ¹³C-edited multidimensional NMR experiment. As an example we have chosen the ¹³C-edited NOESY which is a crucial experiment for sequential resonance assignment of RNA. Application to a 33-nucleotide RNA aptamer and a 76-nucleotide tRNA illustrates the potential of this new methodology.     

A procedure to validate and correct the 13C chemical shift calibration of RNA datasets

Chemical shifts reflect the structural environment of a certain nucleus and can be used to extract structural and dynamic information. Proper calibration is indispensable to extract such information from chemical shifts. Whereas a variety of procedures exist to verify the chemical shift calibration for proteins, no such procedure is available for RNAs to date. We present here a procedure to analyze and correct the calibration of ¹³C NMR data of RNAs. Our procedure uses five ¹³C chemical shifts as a reference, each of them found in a narrow shift range in most datasets deposited in the Biological Magnetic Resonance Bank. In 49 datasets we could evaluate the ¹³C calibration and detect errors or inconsistencies in RNA ¹³C chemical shifts based on these chemical shift reference values. More than half of the datasets (27 out of those 49) were found to be improperly referenced or contained inconsistencies. This large inconsistency rate possibly explains that no clear structure–¹³C chemical shift relationship has emerged for RNA so far. We were able to recalibrate or correct 17 datasets resulting in 39 usable ¹³C datasets. 6 new datasets from our lab were used to verify our method increasing the database to 45 usable datasets. We can now search for structure–chemical shift relationships with this improved list of ¹³C chemical shift data. This is demonstrated by a clear relationship between ribose ¹³C shifts and the sugar pucker, which can be used to predict a C2′- or C3′-endo conformation of the ribose with high accuracy. The improved quality of the chemical shift data allows statistical analysis with the potential to facilitate assignment procedures, and the extraction of restraints for structure calculations of RNA.     

Efficient assignment of methyl resonances: Enhanced sensitivity by gradient selection in a DE-MQ–(H)CC<Superscript><Emphasis Type="Italic">m</Emphasis></Superscript>Ht <Superscript><Emphasis Type="Italic">m</Emphasis></Superscript>–TOCSY experiment

We present a gradient selected and doubly sensitivity-enhanced DE-MQ–(H)CC ^m H ^m –TOCSY experiment for the sequence-specific assignment of methyl resonances in ¹³C,¹⁵N labeled proteins. The proposed experiment provides improved sensitivity and artifact suppression relative to the phase-cycled experiments. One part of the ¹³Cchemical shift evolution takes place under heteronuclear multiple quantum coherence, whereas the other part occurs under ¹³C single quantum coherence in a semi-constant time fashion. The feasibility of the experiment was assessed using ¹⁵N,¹³C labeled Mus musculus coactosin (16 kDa), having a rotational correlation time of 14.5 ns at 15 °C in D₂O. A 16-h experiment on 600 MHz ¹H yielded good quality data and enabled the assignment of 70 out of 72 methyl groups in coactosin. As well as being an improved approach for methyl resonance assignment, this experiment can also be highly valuable for the rapid assignment of methyl resonances in SAR by NMR studies.     

Multiple-quantum HCN-CCH-TOCSY experiment for 13C/15N labeled RNA oligonucleotides

A multiple-quantum 3D HCN-CCH-TOCSY experiment is presented for the assignment of RNA ribose resonances. The experiment makes use of the chemical shift dispersion of N1 of pyrimidine and N9 of purine to distinguish the ribose spin systems. It provides an alternative approach for the assignment of ribose resonances to the currently used COSY- and TOCSY-type experiments in which either ¹³C or ¹H is utilized to distinguish the different spin systems. Compared to the single-quantum version, the sensitivity of the multiple-quantum HCN-CCH-TOCSY experiment is enhanced on average by a factor of 2 for a 23-mer RNA aptamer complexed with neomycin.     

Dipolar filtered 1H-13C heteronuclear correlation spectroscopy for resonance assignment of proteins

Resonance assignment is necessary for the comprehensive structure determination of insoluble proteins by solid-state NMR spectroscopy. While various 2D and 3D correlation techniques involving ¹³C and ¹⁵N spins have been developed for this purpose, ¹H chemical shift has not been exploited sufficiently. We demonstrate the combination of the regular ¹H-¹³C heteronuclear correlation (HETCOR) experiment and a dipolar filtered HETCOR technique to obtain better resolved ¹H chemical shift spectra. The dipolar filtered experiment, MELODI-HETCOR, simplifies the ¹H spectra by suppressing the directly bonded C-H correlation peaks and retaining only the medium- and long-range cross peaks. We apply this MELODI-HETCOR technique to several amino acids and proteins with various isotopic labeling patterns. The enhanced ¹H chemical shift resolution allows the assignment of overlapping H and H resonances in Ser, identifies the ¹H chemical shift differences between neutral and cationic imidazole rings of His, and permits the assignment of residues with side chain nitrogen atoms in ubiquitin. The potential utility of this dipolar filtered HETCOR technique to resonance assignment of extensively labeled proteins is discussed.     

Backbone assignment of perdeuterated proteins using long-range H/C-dipolar transfers

For micro-crystalline proteins, solid-state nuclear magnetic resonance spectroscopy of perdeuterated samples can provide spectra of unprecedented quality. Apart from allowing to detect sparsely introduced protons and thereby increasing the effective resolution for a series of sophisticated techniques, deuteration can provide extraordinary coherence lifetimes—obtainable for all involved nuclei virtually without decoupling and enabling the use of scalar magnetization transfers. Unfortunately, for fibrillar or membrane-embedded proteins, significantly shorter transverse relaxation times have been encountered as compared to micro-crystalline proteins despite an identical sample preparation, calling for alternative strategies for resonance assignment. In this work we propose an approach towards sequential assignment of perdeuterated proteins based on long-range ¹H/¹³C Cross Polarization transfers. This strategy gives rise to H/N-separated correlations involving C^α, C^β, and CO chemical shifts of both, intra- and interresidual contacts, and thus connecting adjacent residues independent of transverse relaxation times.     

The use of heteronuclear cross-polarization for backbone assignment of 2H-, 15N- and 13C-labeled proteins: A pulse scheme for triple-resonance 4D correlation of sequential amide protons and 15N

Summary A new four-dimensional pulse scheme is described for the main-chain assignment of proteins by means of the J connectivity of the amide proton and nitrogen resonances of adjacent residues. Since the new experiment, 4D CP-HN(COCA)NH, involves heteronuclear cross-polarization for magnetization transfer from ¹³C=O to ¹⁵N via ¹³C, a relatively strong WALTZ-16 decoupling rf field is applied to ¹³C during magnetization transfer. Consequently, ¹³C is effectively decoupled from its attached ²H in the case of deuterated proteins, in the absence of a decoupling rf field for ²H. This efficiently improves the sensitivity of the experiment through ¹³C line narrowing. The experiment was performed on a randomly 60% deuterated protein, and the sensitivity of the final 4D spectrum was found to be excellent.     

Setosol,a Biologically Active Heptaketide-like Metabolite from the Pleiochaeta setosa Phytopathogen

Setosol, a biologically active natural product, was extracted from Pleiochaeta setosa, an organism isolated from volcanic rock in the Canaries. With molecular formula C₁₅H₁₆O₅ and a melting point of 139°C, this pale yellow and amorphous compound inhibited the growth of Pyricularia oryzae, Drechslera oryzae, and Gerlachia oryzae. Isolation of the new compound was performed by repeated centrifugal TLC on silica gel, and its structure was established as 2,8-dimethyl-4-methoxy-6,10,11-trihydroxy-benzooxaonin by detailed spectral studies, including COSY, 2D ¹H-¹³C direct chemical shift correlation (XHCORR), 2D ¹H-¹³C correlation via long-range coupling (COLOC), heteronuclear-gated decoupling (GATEDEC), and single-frequency heteronuclear-gated decoupling (SFDEC) NMR techniques, as well as UV, IR, and MS.