CD14<Superscript>++</Superscript>CD16<Superscript>−</Superscript> and CD14<Superscript>+</Superscript>CD16<Superscript>+</Superscript> human monocyte adhesion to endothelial cells

Based on the difference in the CD14 and CD16 expression, two subsets of monocytes were identified in human and other mammalian blood. These subsets have different patterns of adhesion molecules and chemokine receptors that suggests the different mode of their interaction with endothelium and tissue traffic. Here, we investigated the ability of CD14⁺CD16⁺ and CD14⁺⁺CD16⁻ monocytes to adhere to endothelial cell monolayer in presence or absence of pro- and anti-inflammatory cytokines. We demonstrated that CD14⁺CD16⁺ monocytes had a higher level of adhesion to intact monolayer of endothelial cells than CD14⁺⁺CD16⁻ monocytes. Adhesion of CD14⁺⁺CD16⁻ and CD14⁺CD16⁺ monocytes significantly increased in the presence of TNFα or its combination with other cytokines. IFNγ and IL-4 alone did not affect the adhesion of monocytes. These results show that CD14⁺⁺CD16⁻ and CD14⁺CD16⁺ monocytes can be recruited to the inflamed endothelium, but CD14⁺CD16⁺ monocytes adhere to endothelial cells without inflammations twice as strongly as CD14⁺⁺CD16⁻ monocytes.     

A <Superscript>13</Superscript>C-detected <Superscript>15</Superscript>N double-quantum NMR experiment to probe arginine side-chain guanidinium <Superscript>15</Superscript>N<Superscript>η</Superscript> chemical shifts

Arginine side-chains are often key for enzyme catalysis, protein–ligand and protein–protein interactions. The importance of arginine stems from the ability of the terminal guanidinium group to form many key interactions, such as hydrogen bonds and salt bridges, as well as its perpetual positive charge. We present here an arginine ¹³C^ζ-detected NMR experiment in which a double-quantum coherence involving the two ¹⁵N^η nuclei is evolved during the indirect chemical shift evolution period. As the precession frequency of the double-quantum coherence is insensitive to exchange of the two ¹⁵N^η; this new approach is shown to eliminate the previously deleterious line broadenings of ¹⁵N^η resonances caused by the partially restricted rotation about the C^ζ–N^ε bond. Consequently, sharp and well-resolved ¹⁵N^η resonances can be observed. The utility of the presented method is demonstrated on the L99A mutant of the 19 kDa protein T4 lysozyme, where the measurement of small chemical shift perturbations, such as one-bond deuterium isotope shifts, of the arginine amine ¹⁵N^η nuclei becomes possible using the double-quantum experiment.     

<Superscript>1</Superscript>H–<Superscript>15</Superscript>N correlation spectroscopy of nanocrystalline proteins

The limits of resolution that can be obtained in ¹H–¹⁵N 2D NMR spectroscopy of isotopically enriched nanocrystalline proteins are explored. Combinations of frequency switched Lee–Goldburg (FSLG) decoupling, fast magic angle sample spinning (MAS), and isotopic dilution via deuteration are investigated as methods for narrowing the amide ¹H resonances. Heteronuclear decoupling of ¹⁵N from the ¹H resonances is also studied. Using human ubiquitin as a model system, the best resolution is most easily obtained with uniformly ²H and ¹⁵N enriched protein where the amides have been exchanged in normal water, MAS at 20 kHz, and WALTZ-16 decoupling of the ¹⁵N nuclei. The combination of these techniques results in average ¹H lines of only 0.26 ppm full width at half maximum. Techniques for optimizing instrument stability and ¹⁵N decoupling are described for achieving the best possible performance in these experiments.     

Flow of Deposited Inorganic N in Two Gleysol-dominated Mountain Catchments Traced with <Superscript>15</Superscript>NO<Subscript>3</Subscript><Superscript>−</Superscript> and <Superscript>15</Superscript>NH<Subscript>4</Subscript><Superscript>+</Superscript>

In two mountain ecosystems at the Alptal research site in central Switzerland, pulses of ¹⁵NO₃ and ¹⁵NH₄ were separately applied to trace deposited inorganic N. One forested and one litter meadow catchment, each approximately 1600 m², were delimited by trenches in the Gleysols. K¹⁵NO₃ was applied weekly or fortnightly over one year with a backpack sprayer, thus labelling the atmospheric nitrate deposition. After the sampling and a one-year break, ¹⁵NH₄Cl was applied as a second one-year pulse, followed by a second sampling campaign. Trees (needles, branches and bole wood), ground vegetation, litter layer and soil (LF, A and B horizon) were sampled at the end of each labelling period. Extractable inorganic N, microbial N, and immobilised soil N were analysed in the LF and A horizons. During the whole labelling period, the runoff water was sampled as well. Most of the added tracer remained in both ecosystems. More NO₃⁻ than NH₄⁺ tracer was retained, especially in the forest. The highest recovery was in the soil, mainly in the organic horizon, and in the ground vegetation, especially in the mosses. Event-based runoff analyses showed an immediate response of ¹⁵NO₃⁻ in runoff, with sharp ¹⁵N peaks corresponding to discharge peaks. NO₃⁻ leaching showed a clear seasonal pattern, being highest in spring during snowmelt. The high capacity of N retention in these ecosystems leads to the assumption that deposited N accumulates in the soil organic matter, causing a progressive decline of its C:N ratio.     

<Superscript>1</Superscript>H, <Superscript>13</Superscript>C,and <Superscript>15</Superscript>N resonance assignments for the pro-inflammatory cytokine interleukin-36α

Interleukin-36α (IL-36α) is a recently characterised member of the interleukin-1 superfamily. It is involved in the pathogenesis of inflammatory arthritis in one third of psoriasis patients. By binding of IL-36α to its receptor IL-36R via the NF-κB pathway other cytokines involved in inflammatory and apoptotic cascade are activated. The efficacy of complex formation is controlled by N-terminal processing. To obtain a more detailed view on the structure function relationship we performed a heteronuclear multidimensional NMR investigation and here report the ¹H, ¹³C, and ¹⁵N resonance assignments for the backbone and side chain nuclei of the pro-inflammatory cytokine interleukin-36α.     

Rapid measurement of <Superscript>3</Superscript>J(H<Superscript>N</Superscript>–H<Superscript>α</Superscript>) and <Superscript>3</Superscript>J(N–H<Superscript>β</Superscript>) coupling constants in polypeptides

We present two NMR experiments, (3,2)D HNHA and (3,2)D HNHB, for rapid and accurate measurement of 3J(H N-H alpha) and 3J(N-H beta) coupling constants in polypeptides based on the principle of G-matrix Fourier transform NMR spectroscopy and quantitative J-correlation. These experiments, which facilitate fast acquisition of three-dimensional data with high spectral/digital resolution and chemical shift dispersion, will provide renewed opportunities to utilize them for sequence specific resonance assignments, estimation/characterization of secondary structure with/without prior knowledge of resonance assignments, stereospecific assignment of prochiral groups and 3D structure determination, refinement and validation. Taken together, these experiments have a wide range of applications from structural genomics projects to studying structure and folding in polypeptides.     

Carbonyl carbon label selective (CCLS) <Superscript>1</Superscript>H–<Superscript>15</Superscript>N HSQC experiment for improved detection of backbone <Superscript>13</Superscript>C–<Superscript>15</Superscript>N cross peaks in larger proteins

We present a highly sensitive pulse sequence, carbonyl carbon label selective ¹H–¹⁵N HSQC (CCLS-HSQC) for the detection of signals from ¹H–¹⁵N units involved in ¹³C′–¹⁵N linkages. The CCLS-HSQC pulse sequence utilizes a modified ¹⁵N CT evolution period equal to 1/( ) (∼33 ms) to select for ¹³C′–¹⁵N pairs. By collecting CCLS-HSQC and HNCO data for two proteins (8 kDa ubiquitin and 20 kDa HscB) at various temperatures (5–40°C) in order to vary correlation times, we demonstrate the superiority of the CCLS-HSQC pulse sequence for proteins with long correlation times (i.e. higher molecular weight). We then show that the CCLS-HSQC experiment yields assignments in the case of a 41 kDa protein incorporating pairs of ¹⁵N- and ¹³C′-labeled amino acids, where a TROSY 2D-HN(CO) had failed. Although the approach requires that the ¹H–¹⁵N HSQC cross peaks be observable, it does not require deuteration of the protein. The method is suitable for larger proteins and is less affected by conformational exchange than HNCO experiments, which require a longer period of transverse ¹⁵N magnetization. The method also is tolerant to the partial loss of signal from isotopic dilution (scrambling). This approach will be applicable to families of proteins that have been resistant to NMR structural and dynamic analysis, such as large enzymes, and partially folded or unfolded proteins.     

Estimation of denitrification potential in a karst aquifer using the <Superscript>15</Superscript>N and <Superscript>18</Superscript>O isotopes of NO<Stack><Subscript>3</Subscript><Superscript>−</Superscript></Stack>

A confined aquifer in the Malm Karst of the Franconian Alb, South Germany was investigated in order to understand the role of the vadose zone in denitrifiaction processes. The concentrations of chemical tracers Sr²⁺ and Cl^– and concentrations of stable isotope ¹⁸O were measured in spring water and precipitation during storm events. Based on these measurements a conceptual model for runoff was constructed. The results indicate that pre-event water, already stored in the system at the beginning of the event, flows downslope on vertical and lateral preferential flow paths. Chemical tracers used in a mixing model for hydrograph separation have shown that the pre-event water contribution is up to 30%. Applying this information to a conceptual runoff generation model, the values of ¹⁵N and ¹⁸O in nitrate could be calculated. Field observations showed the occurence of significant microbial denitrification processes above the soil/bedrock interface before nitrate percolates through to the deeper horizon of the vadose zone. The source of nitrate could be determined and denitrification processes were calculated. Assuming that the nitrate reduction follows a Rayleigh process one could approximate a nitrate input concentration of about 170 mg/l and a residual nitrate concentration of only about 15%. The results of the chemical and isotopic tracers postulate fertilizers as nitrate source with some influence of atmospheric nitrate. The combined application of hydrograph separation and determination of isotope values in ¹⁵N and ¹⁸O of nitrate lead to an improved understanding of microbial processes (nitrification, denitrification) in dynamic systems.     

Sequential nearest-neighbor effects on computed <Superscript>13</Superscript>C<Superscript>α</Superscript> chemical shifts

To evaluate sequential nearest-neighbor effects on quantum-chemical calculations of ¹³C^α chemical shifts, we selected the structure of the nucleic acid binding (NAB) protein from the SARS coronavirus determined by NMR in solution (PDB id 2K87). NAB is a 116-residue α/β protein, which contains 9 prolines and has 50% of its residues located in loops and turns. Overall, the results presented here show that sizeable nearest-neighbor effects are seen only for residues preceding proline, where Pro introduces an overestimation, on average, of 1.73 ppm in the computed ¹³C^α chemical shifts. A new ensemble of 20 conformers representing the NMR structure of the NAB, which was calculated with an input containing backbone torsion angle constraints derived from the theoretical ¹³C^α chemical shifts as supplementary data to the NOE distance constraints, exhibits very similar topology and comparable agreement with the NOE constraints as the published NMR structure. However, the two structures differ in the patterns of differences between observed and computed ¹³C^α chemical shifts, Δ _ca,i , for the individual residues along the sequence. This indicates that the Δ _ca,i -values for the NAB protein are primarily a consequence of the limited sampling by the bundles of 20 conformers used, as in common practice, to represent the two NMR structures, rather than of local flaws in the structures.     

Projected [<Superscript>1</Superscript>H,<Superscript>15</Superscript>N]-HMQC-[<Superscript>1</Superscript>H,<Superscript>1</Superscript>H]-NOESY for large molecular systems: application to a 121 kDa protein-DNA complex

We present a projected [¹H,¹⁵N]-HMQC-[¹H,¹H]-NOESY experiment for observation of NOE interactions between amide protons with degenerate ¹⁵N chemical shifts in large molecular systems. The projection is achieved by simultaneous evolution of the multiple quantum coherence of the nitrogen spin and the attached proton spin. In this way NOE signals can be separated from direct-correlation peaks also in spectra with low resolution by fully exploiting both ¹H and ¹⁵N frequency differences, such that sensitivity can be increased by using short maximum evolution times. The sensitivity of the experiment is not dependent on the projection angle for projections up to 45° and no additional pulses or delays are required as compared to the conventional 2D [¹H,¹⁵N]-HMQC-NOESY. The experiment provides two distinct 2D spectra corresponding to the positive and negative angle projections, respectively. With a linear combination of 1D cross-sections from the two projections the unavoidable sensitivity loss in projection spectra can be compensated for each particular NOE interaction. We demonstrate the application of the novel projection experiment for the observation of an NOE interaction between two sequential glycines with degenerate ¹⁵N chemical shifts in a 121.3 kDa complex of the linker H1 histone protein with a 152 bp linear DNA.     

Predicting <Superscript>13</Superscript>C<Superscript>α</Superscript> chemical shifts for validation of protein structures

The ¹³C^α chemical shifts for 16,299 residues from 213 conformations of four proteins (experimentally determined by X-ray crystallography and Nuclear Magnetic Resonance methods) were computed by using a combination of approaches that includes, but is not limited to, the use of density functional theory. Initially, a validation test of this methodology was carried out by a detailed examination of the correlation between computed and observed ¹³C^α chemical shifts of 10,564 (of the 16,299) residues from 139 conformations of the human protein ubiquitin. The results of this validation test on ubiquitin show agreement with conclusions derived from computation of the chemical shifts at the ab initio Hartree–Fock level. Further, application of this methodology to 5,735 residues from 74 conformations of the three remaining proteins that differ in their number of amino acid residues, sequence and three-dimensional structure, together with a new scoring function, namely the conformationally averaged root-mean-square-deviation, enables us to: (a) offer a criterion for an accurate assessment of the quality of NMR-derived protein conformations; (b) examine whether X-ray or NMR-solved structures are better representations of the observed ¹³C^α chemical shifts in solution; (c) provide evidence indicating that the proposed methodology is more accurate than automated predictors for validation of protein structures; (d) shed light as to whether the agreement between computed and observed ¹³C^α chemical shifts is influenced by the identity of an amino acid residue or its location in the sequence; and (e) provide evidence confirming the presence of dynamics for proteins in solution, and hence showing that an ensemble of conformations is a better representation of the structure in solution than any single conformation. Electronic Supplementary Material The online version of this article (doi: ) contains supplementary material, which is available to authorized users.     

Measurement of imino <Superscript>1</Superscript>H–<Superscript>1</Superscript>H residual dipolar couplings in RNA

Imino ¹H–¹⁵N residual dipolar couplings (RDCs) provide additional structural information that complements standard ¹H–¹H NOEs leading to improvements in both the local and global structure of RNAs. Here, we report measurement of imino ¹H–¹H RDCs for the Iron Responsive Element (IRE) RNA and native E. coli tRNA^Val using a BEST-Jcomp-HMQC2 experiment. ¹H–¹H RDCs are observed between the imino protons in G–U wobble base pairs and between imino protons on neighboring base pairs in both RNAs. These imino ¹H–¹H RDCs complement standard ¹H–¹⁵N RDCs because the ¹H–¹H vectors generally point along the helical axis, roughly perpendicular to ¹H–¹⁵N RDCs. The use of longitudinal relaxation enhancement increased the signal-to-noise of the spectra by ~3.5-fold over the standard experiment. The ability to measure imino ¹H–¹H RDCs offers a new restraint, which can be used in NMR domain orientation and structural studies of RNAs. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Synthesis of the β-amyloid fragment <Superscript>5</Superscript>RHDSGY<Superscript>10</Superscript> and its isomers

The peptide RHDSGY, a fragment of the human β-amyloid Zn-binding site, and its isomers RH(D-Asp)SGY and RH(β-Asp)SGY have been obtained as amides by means of solid-phase synthesis and analyzed by HPLC and various mass spectrometric methods. The problem of low yield of the RHDSGY peptide and its isomers attributed to 9-fluorenylmethoxycarbonyl (Fmoc)-amino acids and/or formation of such side-products as RH(β-Asp)SGY (or RHDSGY during synthesis of RH(β-Asp)SGY) and RH(Asp-imide) SGY was solved via selection of individual reagents for removal of Fmoc groups from α-amino groups of the growing peptide chain.     

Determination of the lifetime of D<Stack><Subscript>2</Subscript><Superscript>−</Superscript></Stack> and HD<Superscript>−</Superscript> ions

A method for determining the lifetime of unstable ions is described. The method is based on measuring the decrease in the ion beam current onto a fixed detector with increasing path length of the ion beam from the ion source to the detector. The measurements performed for D^? ₂ and HD^? molecular ions have shown that their lifetimes are 3.5 ± 0.1 and 4.4 ± 0.1 μs, respectively.     

CACA-TOCSY with alternate <Superscript>13</Superscript>C–<Superscript>12</Superscript>C labeling: a <Superscript>13</Superscript>C<Superscript>α</Superscript> direct detection experiment for mainchain resonance assignment,dihedral angle information,and amino acid type identification

We present a ¹³C direct detection CACA-TOCSY experiment for samples with alternate ¹³C–¹²C labeling. It provides inter-residue correlations between ¹³C^α resonances of residue i and adjacent C^αs at positions i − 1 and i + 1. Furthermore, longer mixing times yield correlations to C^α nuclei separated by more than one residue. The experiment also provides C^α-to-sidechain correlations, some amino acid type identifications and estimates for ψ dihedral angles. The power of the experiment derives from the alternate ¹³C–¹²C labeling with [1,3-¹³C] glycerol or [2-¹³C] glycerol, which allows utilizing the small scalar ³J_CC couplings that are masked by strong ¹J_CC couplings in uniformly ¹³C labeled samples.     

<Superscript>15</Superscript>N–{<Superscript>1</Superscript>H} NOE experiment at high magnetic field strengths

The heteronuclear ¹⁵N–{¹H} NOE values are typically determined by taking the ratio of ¹⁵N signal intensities recorded in the presence and absence of ¹H saturation prior to evolution of ¹⁵N magnetization. Since the intensity ratio of two independent experiments is taken, complete recovery of ¹⁵N magnetization during the scan repetition delay is critical to obtain reliable NOE values. Because it may not be practical to wait for the complete recovery of magnetization at high magnetic fields, Solomon equations may be used to correct measured NOE values. Here, based on experiments and simulations, we show that since the cross-correlation between ¹H–¹⁵N dipole and ¹⁵N chemical shift anisotropy becomes significant at high fields for small or deuterated proteins, measured NOE values can not be accurately corrected based on the Solomon equations. We also discuss ranges of rotational correlation times and proton spin-flip rate, in which the NOE values can be corrected by the equations.