Ryan T. McKay

Interaction of the Second Binding Region of Troponin I with the Regulatory Domain of Skeletal Muscle Troponin C as Determined by NMR Spectroscopy

Two dimensional1H,15N-heteronuclear single quantum correlation NMR was used to monitor the resonance frequency changes of the backbone amide groups belonging to the 15N-labeled regulatory domain of calcium saturated troponin C (N-TnC) upon addition of synthetic skeletal N-acetyl-troponin I 115–131-amide peptide (TnI115–131). Utilizing the change in amide chemical shifts, the dissociation constant for 1:1 binding of TnI115–131 to N-TnC in low salt and 100 mm KCl samples was determined to be 28 ± 4 and 24 ± 4 μm, respectively. The off rate of TnI115–131 was determined to be 300 s−1 from observed N-TnC backbone amide1H,15N-heteronuclear single quantum correlation cross-peak line widths, which is on the order of the calcium off rates (Li, M. X., Gagné, S. M., Tsuda, S., Kay, C. M., Smillie, L. B., and Sykes, B. D. (1995) Biochemistry34, 8330–8340), and agrees with kinetic expectations for biological regulation of muscle contraction. The TnI115–131 binding site on N-TnC was determined by mapping of chemical shift changes onto the N-TnC NMR structure and was demonstrated to be in the “hydrophobic pocket” (Gagné, S. M., Tsuda, S., Li, M. X., Smillie, L. B., and Sykes, B. D. (1995) Nat. Struct. Biol. 2, 784–789).

The 3D Structure of Thuricin CD, a Two-Component Bacteriocin with Cysteine Sulfur to α-Carbon Cross-links

Thuricin CD is an antimicrobial factor that consists of two peptides, Trn-α and Trn-β, that exhibit synergistic activity against drug resistant strains of Clostridium difficile. Trn-α and Trn-β each possess three sulfur to α-carbon thioether bridges for which the stereochemistry is unknown. This report presents the three-dimensional solution structures of Trn-α and Trn-β. Structure calculations were performed for the eight possible stereoisomers of each peptide based on the same NMR data. The structure of the stereoisomer that best fit the experimental data was chosen as the representative structure for each peptide. It was determined that Trn-α has L-stereochemistry at Ser21 (α-R), L-stereochemistry at Thr25 (α-R), and D-stereochemistry at Thr28 (α-S) (an LLD isomer). Trn-β was also found to be the LLD isomer, with L-stereochemistry at Thr21 (α-R), L-stereochemistry at Ala25 (α-R), and D-stereochemistry at Tyr28 (α-S).

Recommendations and Standardization of Biomarker Quantification Using NMR-Based Metabolomics with Particular Focus on Urinary Analysis

NMR-based metabolomics has shown considerable promise in disease diagnosis and biomarker discovery because it allows one to nondestructively identify and quantify large numbers of novel metabolite biomarkers in both biofluids and tissues. Precise metabolite quantification is a prerequisite to move any chemical biomarker or biomarker panel from the lab to the clinic. Among the biofluids commonly used for disease diagnosis and prognosis, urine has several advantages. It is abundant, sterile, and easily obtained, needs little sample preparation, and does not require invasive medical procedures for collection. Furthermore, urine captures and concentrates many “unwanted” or “undesirable” compounds throughout the body, providing a rich source of potentially useful disease biomarkers; however, incredible variation in urine chemical concentrations makes analysis of urine and identification of useful urinary biomarkers by NMR challenging. We discuss a number of the most significant issues regarding NMR-based urinary metabolomics with specific emphasis on metabolite quantification for disease biomarker applications and propose data collection and instrumental recommendations regarding NMR pulse sequences, acceptable acquisition parameter ranges, relaxation effects on quantitation, proper handling of instrumental differences, sample preparation, and biomarker assessment.

Metabolomics and Its Application to Acute Lung Diseases.

Metabolomics is a rapidly expanding field of systems biology that is gaining significant attention in many areas of biomedical research. Also known as metabonomics, it comprises the analysis of all small molecules or metabolites that are present within an organism or a specific compartment of the body. Metabolite detection and quantification provide a valuable addition to genomics and proteomics and give unique insights into metabolic changes that occur in tangent to alterations in gene and protein activity that are associated with disease. As a novel approach to understanding disease, metabolomics provides a “snapshot” in time of all metabolites present in a biological sample such as whole blood, plasma, serum, urine, and many other specimens that may be obtained from either patients or experimental models. In this article, we review the burgeoning field of metabolomics in its application to acute lung diseases, specifically pneumonia and acute respiratory disease syndrome (ARDS). We also discuss the potential applications of metabolomics for monitoring exposure to aerosolized environmental toxins. Recent reports have suggested that metabolomics analysis using nuclear magnetic resonance (NMR) and mass spectrometry (MS) approaches may provide clinicians with the opportunity to identify new biomarkers that may predict progression to more severe disease, such as sepsis, which kills many patients each year. In addition, metabolomics may provide more detailed phenotyping of patient heterogeneity, which is needed to achieve the goal of precision medicine. However, although several experimental and clinical metabolomics studies have been conducted assessing the application of the science to acute lung diseases, only incremental progress has been made. Specifically, little is known about the metabolic phenotypes of these illnesses. These data are needed to substantiate metabolomics biomarker credentials so that clinicians can employ them for clinical decision-making and investigators can use them to design clinical trials.

Chapter 2 Recent Advances in Solvent Suppression for Solution NMR: A Practical Reference

Abstract Recent advances in solvent suppression for liquids based NMR spectroscopy are explored. An emphasis on techniques developed over the past 10 years is provided including recommendations on sample preparation and spectrometer optimization. In addition, biologically relevant samples were used to demonstrate and compare the relative strengths/weaknesses of described techniques. This publication attempts to provide practical background and general knowledge for both novice and experienced users seeking to select and optimize the most appropriate tools for their NMR challenges.

The NMR angle on troponin C

The calcium-induced structural changes in the skeletal muscle regulatory protein troponin C involve a transition from a closed to an open structure with the concomitant exposure of a large hydrophobic interaction site for target proteins. NMR solution structural studies have served to define this conformational change and elucidate the mechanism of the linkage between calcium binding and the induced structural changes. These structural movements are described in terms of interhelical angles in these largely helical proteins. Oddly, the most recent structure of the cardiac system challenges the central paradigm because the calcium-bound structures are not open. The kinetics, energetics, and dynamics of these proteins have also been investigated using NMR.

Solution structures of the linear leaderless bacteriocins enterocin 7A and 7B resemble carnocyclin A, a circular antimicrobial peptide.

Leaderless bacteriocins are a class of ribosomally synthesized antimicrobial peptides that are produced by certain Gram-positive bacteria without an N-terminal leader section. These bacteriocins are of great interest due to their potent inhibition of many Gram-positive organisms, including food-borne pathogens such as Listeria and Clostridium spp. We now report the NMR solution structures of enterocins 7A and 7B, leaderless bacteriocins recently isolated from Enterococcus faecalis 710C. These are the first three-dimensional structures to be reported for bacteriocins of this class. Unlike most other linear Gram-positive bacteriocins, enterocins 7A and 7B are highly structured in aqueous conditions. Both peptides are primarily α-helical, adopting a similar overall fold. The structures can be divided into three separate α-helical regions: the N- and C-termini are both α-helical, separated by a central kinked α-helix. The overall structures bear an unexpected resemblance to carnocyclin A, a 60-residue peptide that is cyclized via an amide bond between the C- and N-termini and has a saposin fold. Because of synergism observed for other two-peptide leaderless bacteriocins, it was of interest to probe possible binding interactions between enterocins 7A and 7B. However, despite synergistic activity observed between these peptides, no significant binding interaction was observed based on NMR and isothermal calorimetry.

Catalytic Proficiency of Ubiquitin Conjugation Enzymes: Balancing pKa Suppression, Entropy, and Electrostatics

Biological organisms orchestrate coordinated responses to external stimuli through temporal fluctuations in protein-protein interaction networks using molecular mechanisms such as the synthesis and recognition of polyubiquitin (polyUb) chains on signaling adaptor proteins. One of the pivotal chemical steps in ubiquitination involves reaction of a lysine amino group with a thioester group on an activated E2, or ubiquitin conjugation enzyme, to form an amide bond between Ub and a target protein. In this study, we demonstrate a nominal 14-fold range for the rate of the chemical step, k(cat), catalyzed by different E2 enzymes using non-steady-state, single-turnover assays. However, the observed range for k(cat) is as large as ∼100-fold for steady-state, single-turnover assays. Biochemical assays were used in combination with measurement of the underlying protein-protein interaction kinetics using NMR line-shape and ZZ-exchange analyses to determine the rate of polyUb chain synthesis catalyzed by the heterodimeric E2 enzyme Ubc13-Mms2. Modest variations in substrate affinity and k(cat) can achieve functional diversity in E2 mechanism, thereby influencing the biological outcomes of polyubiquitination. E2 enzymes achieve reaction rate enhancements through electrostatic effects such as suppression of substrate lysine pK(a) and stabilization of transition states by the preorganized, polar enzyme active site as well as the entropic effects of binding. Importantly, modestly proficient enzymes such as E2s maintain the ability to tune reaction rates; this may confer a biological advantage for achieving specificity in the diverse cellular roles for which these enzymes are involved.

Solution Structure of Acidocin B, a Circular Bacteriocin Produced by Lactobacillus acidophilus M46.

ABSTRACT Acidocin B, a bacteriocin produced by Lactobacillus acidophilus M46, was originally reported to be a linear peptide composed of 59 amino acid residues. However, its high sequence similarity to gassericin A, a circular bacteriocin from Lactobacillus gasseri LA39, suggested that acidocin B might be circular as well. Acidocin B was purified from culture supernatant by a series of hydrophobic interaction chromatographic steps. Its circular nature was ascertained by matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry and tandem mass spectrometry (MS/MS) sequencing. The peptide sequence was found to consist of 58 amino acids with a molecular mass of 5,621.5 Da. The sequence of the acidocin B biosynthetic gene cluster was also determined and showed high nucleotide sequence similarity to that of gassericin A. The nuclear magnetic resonance (NMR) solution structure of acidocin B in sodium dodecyl sulfate micelles was elucidated, revealing that it is composed of four α-helices of similar length that are folded to form a compact, globular bundle with a central pore. This is a three-dimensional structure for a member of subgroup II circular bacteriocins, which are classified based on their isoelectric points of ∼7 or lower. Comparison of acidocin B with carnocyclin A, a subgroup I circular bacteriocin with four α-helices and a pI of 10, revealed differences in the overall folding. The observed variations could be attributed to inherent diversity in their physical properties, which also required the use of different solvent systems for three-dimensional structural elucidation.

Understanding the variability of compound quantification from targeted profiling metabolomics of 1D- 1 H-NMR spectra in synthetic mixtures and urine with additional insights on choice of pulse sequences and robotic sampling

The growing use of ‘targeted profiling’ approaches for the deconvolution of 1D-1H-NMR spectra by comparison to a pure compound library has created a need for an in-depth characterization of quantification variability that is beyond what is currently available in the literature. In this study, we explore the underlying source of quantification variability (tube insertion, spectra acquisition, and profiling) as well as a number of other factors, such as temporal consistency of repeated NMR scans, human consistency in repeated profiles, and human versus machine sampling. We also look at the effect of different pulse sequences on the differences between acquired spectra and the peak reference library. Two sample types were considered for this work—a synthetic five compound mixture as well as human urine. The result is a comprehensive examination of 1D-1H-NMR quantification error. Our investigation into variability sources revealed that apart from profiling, sample insertion and/or shimming can play a significant role in final quantification, a finding that is equally applicable to all integration-based methods of quantification. Both sources of error were also found to have temporal relationships, with bias identified as a function of both scan and profiling order, reinforcing the need for randomization in scanning and profiling. As well as presenting a practical estimate of variability in human urine samples, we have uncovered a considerable amount of complexity in underlying NMR variability that will hopefully serve as impetus for future exploration in this area.