HIGH‐RESOLUTION MAGIC ANGLE SPINNING NMR ANALYSIS OF WHOLE CELLS OF CHAETOCEROS MUELLERI (BACILLARIOPHYCEAE) AND COMPARISON WITH 13C‐NMR AND DISTORTIONLESS ENHANCEMENT BY POLARIZATION TRANSFER 13C‐NMR ANALYSIS OF LIPOPHILIC EXTRACTS1

Lipid composition in extracted samples of Chaetoceros muelleri Lemmermann was studied with ¹³C‐NMR and distortionless enhancement by polarization transfer (DEPT) ¹³C‐NMR, resulting in well‐resolved ¹³C‐NMR spectra with characteristic resonance signals from carboxylic, olefinic, glyceryl, methylene, and methyl groups. The application of a DEPT pulse sequence aided in the assignment of methylene and methine groups. Resonance signals were compared with literature references, and signal assignment included important unsaturated fatty acids such as eicosapentaenoic and docosahexaenoic and also phospholipids and glycerols. Results from the extracted samples were used to assign resonance signals in a high‐resolution magic angle spinning (HR MAS) DEPT ¹³C spectrum from whole cells of C. muelleri. The NMR analysis on whole cells yielded equally good information on fatty acids and also revealed signals from carbohydrates and amino acids. Broad resonance signals and peak overlapping can be a problem in whole cell analysis, but we found that application of HR MAS gave a well‐resolved spectrum. The chemical shift of metabolites in an NMR spectrum depends on the actual environment of nuclei during analysis, and some differences could therefore be expected between extracted and whole cell samples. The shift differences were small, and assignment from analysis of lipophilic extract could be used to identify peaks in the whole cell spectrum. HR MAS ¹³C‐NMR therefore offers a possibility for broad‐range metabolic profiling directly on whole cells, simultaneously detecting metabolites that are otherwise not detected in the same analytical set up and avoiding tedious extraction procedures.     

31P NMR and 13C NMR studies of recombinant Saccharomyces cerevisiae with altered glucose phosphorylation activities

Manipulation of cellular metabolism to maximize the yield and rate of formation of desired products may be achieved through genetic modification. Batch fermentations utilizing glucose as a carbon source were performed for three recombinant strains of Saccharomyces cerevisiae in which the glucose phosphorylation step was altered by mutation and genetic engineering. The host strain (hxk1 hxk2 glk) is unable to grow on glucose or fructose; the three plasmids investigated expressed hexokinase PI, hexokinase PII, or glucokinase, respectively, enabling more rapid glucose and fructose phosphorylation in vivo than that provided by wild-type yeast.Intracellular metabolic state variables were determined by ³¹P NMR measurements of in vivo fermentations under nongrowth conditions for high cell density suspensions. Glucose consumption, ethanol and glycerol production, and polysaccharide formation were determined by ¹³C NMR measurements under the same experimental conditions as used in the ³¹P NMR measurements. The trends observed in ethanol yields for the strains under growth conditions were mimicked in the nongrowth NMR conditions.Only the strain with hexokinase PI had higher rates of glucose consumption and ethanol production in comparison to healthy diploid strains in the literature. The hexokinase PII strain drastically underutilized its glucose-phosphorylating capacity. A regulation difference in the use of magnesium-free ATP for this strain could be a possible explanation. Differences in ATP levels and cytoplasmic pH values among the strains were observed that could not have been foreseen. However, cytoplasmic pH values do not account for the differences observed among in vivo and in vitro glucose phosphorylation activities of the three recombinant strains.     

Innovations in Generation and Analysis of 2D [C,H] COSY NMR Spectra for Metabolic Flux Analysis Purposes

2D [¹³C,¹H] COSY NMR is used by the metabolic engineering community for determining ¹³C–¹³C connectivities in intracellular compounds that contain information regarding the steady-state fluxes in cellular metabolism. This paper proposes innovations in the generation and analysis of these specific NMR spectra. These include a computer tool that allows accurate determination of the relative peak areas and their complete covariance matrices even in very complex spectra. Additionally, a method is introduced for correcting the results for isotopic non-steady-state conditions. The proposed methods were applied to measured 2D [¹³C,¹H] COSY NMR spectra. Peak intensities in a one-dimensional section of the spectrum are frequently not representative for relative peak volumes in the two-dimensional spectrum. It is shown that for some spectra a significant amount of additional information can be gained from long-range ¹³C–¹³C scalar couplings in 2D [¹³C,¹H] COSY NMR spectra. Finally, the NMR resolution enhancement by dissolving amino acid derivatives in a nonpolar solvent is demonstrated.     

C isotopomer analysis of glutamate by heteronuclear multiple quantum coherence-total correlation spectroscopy (HMQC-TOCSY)

¹³C has become an important tracer isotope for studies of intermediary metabolism. Information about relative flux through pathways is encoded by the distribution of ¹³C isotopomers in an intermediate pool such as glutamate. This information is commonly decoded either by mass spectrometry or by measuring relative multiplet areas in a ¹³C NMR spectrum. We demonstrate here that groups of glutamate ¹³C isotopomers may be quantified by indirect detection of protons in a 2D HMQC-TOCSY NMR spectrum and that fitting of these data to a metabolic model provides an identical measure of the ¹³C fractional enrichment of acetyl-CoA and relative anaplerotic flux to that given by direct ¹³C NMR analysis. The sensitivity gain provided by HMQC-TOCSY spectroscopy will allow an extension of ¹³C isotopomer analysis to tissue samples not amenable to direct ¹³C detection (∼10 mg soleus muscle) and to tissue metabolites other than glutamate that are typically present at lower concentrations.     

Measurement of 2H distribution in natural products by quantitative 2H NMR: An approach to understanding metabolism and enzyme mechanism?

During the biosynthesis of natural products, the intra-molecular distribution of isotopes is introduced as a result of different isotope effects associated with the reactions involved. Due to the sensitivity of certain enzymes to the presence of a heavy isotope, the isotope selection effects related to some transformations can be high, especially for hydrogen. The effect of a series of isotope effects specific to each enzyme-catalysed step are additive during a biosynthetic pathway, leading to fractionation of the isotopes between the starting substrate and the final product. As the individual reactions are acting on different positions in the substrate, the net effect is a non-statistical distribution of isotope within the final product. Quantitative ²H NMR spectroscopy can be used to measure the distribution of ²H at natural abundance in natural products. In the first example, the fermentation of glucose is examined. Glucose can act as a primary carbon source for a wide range of fermentation products, produced by a variety of pathways. In many cases, competing pathways are active simultaneously. The relative fluxes are influenced by both environmental and genetic parameters. Quantitative ²H NMR spectroscopy is being used to obtain mechanistic and regulatory information about isotopic fractionation from glucose during such fermentations. Quantitative ²H NMR spectroscopy can also be used to examine the fractionation in ²H that occurs in long-chain fatty acids during chain elongation and oxygenation. It has been found that the (²H/¹H) ratio shows an alternating pattern along the length of the chain and that the residual hydrogen atoms at the sites of desaturation are asymmetrically impoverished. The extent to which the non-statistical distribution of isotopes can be related to the mechanism of enzymes involved in the biosynthetic pathway via kinetic isotopic effects will be discussed.     

Sorbitol production by Zymomonas mobilis

Summary High resolution ¹³C Nuclear Magnetic Resonance (NMR) spectroscopy has been employed to determine the chemical composition of the unknown major products in a sucrose or fructose plus glucose fermentation to ethanol by the bacterium Zymmonas mobilis. When grown on these sugars Z.mobilis was found to produce significant amounts of sorbitol, up to 43 g·l^-1 for strain ZM31 when grown on 250 g·l^-1 sucrose.The production of sorbitol and decrease of glucose, fructose, or sucrose was followed throughout batch fermentations by NMR and HPLC. Sorbitol was shown to be derived only from fructose by [¹⁴C]-feeding experiments. Additionally ³¹P NMR spectroscopy was utilized to determine the concentrations of both glucose 6-phosphate and fructose 6-phosphate relative to their respective concentrations in Z.mobilis cells fermenting glucose or fructose alone.It is suggested that free glucose inside the cell inhibits fructokinase. Free intracellular fructose may then be reduced to sorbitol via a dehydrogenase type enzyme. Attempts to grow Z.mobilis on sorbitol were unsuccessful, as were experiments to induce growth via mutagenesis.This work was supported in part by the National Energy Research, Development and Demonstration Council of Australia     

A comparison between NMR and GCMS 13C-isotopomer analysis in cardiac metabolism

NMR spectroscopy and gas chromatography-mass spectrometry (GCMS) have both been used to study cardiac metabolism using substrates labeled with the stable isotope carbon-13. ¹³C-NMR studies of substrate oxidation are based on the assumption that the ¹³C-enrichment of glutamate reflects that of 2-ketoglutarate (2-KG). This assumption appears reasonable; however, it has not been thoroughly validated. The higher sensitivity of GCMS enables the direct determination of ¹³C-enrichment of 2-KG and other tricarboxylic acid (TCA) cycle intermediates. Therefore, using extracts from normal and diabetic hearts perfused with physiological concentrations of unlabeled glucose and ¹³C-labeled substrates, [3-¹³C](lactate + pyruvate) and [U-¹³C]palmitate, we compared the mass isotopomer distribution (MID) of citrate, 2-KG, succinate and malate measured directly by GCMS with that extrapolated from ¹³C-NMR glutamate isotopomer analysis. A significant correlation between the absolute molar percent enrichments (MPE) of the various mass isotopomers of glutamate determined by ¹³C-NMR and 2-KG determined by GCMS was observed for all sixteen-heart samples. This correlation was improved if the contribution from unlabeled 2-KG was removed (i.e. relative MPE) indicating that ¹³C-NMR under estimated the unlabeled fraction. We attribute this discrepancy in the measurement of unlabeled 2-KG to the fact that GCMS measures M0 directly, while the NMR analysis calculates it by difference, since unlabeled glutamate is not detected by ¹³C-NMR spectroscopy. Despite the differences between the two methods, ¹³C-MID of glutamate determined by NMR provides a simple and reliable indicator of fluxes of ¹³C-enriched substrates through the TCA cycle. It is also clear that MID analysis of TCA cycle intermediates by GCMS is a sensitive and direct approach to assess substrate selection for citrate synthesis as well as a potential indicator of sites and extent of anaplerosis and/or compartmentation. This study demonstrates that the alliance of NMR and GCMS represents a powerful approach for investigating the control and regulation of cardiac carbon metabolism.     

A fast NMR method for resonance assignments: application to metabolomics

We present a new method for rapid NMR data acquisition and assignments applicable to unlabeled (¹²C) or ¹³C-labeled biomolecules/organic molecules in general and metabolomics in particular. The method involves the acquisition of three two dimensional (2D) NMR spectra simultaneously using a dual receiver system. The three spectra, namely: (1) G-matrix Fourier transform (GFT) (3,2)D [¹³C, ¹H] HSQC–TOCSY, (2) 2D ¹H–¹H TOCSY and (3) 2D ¹³C–¹H HETCOR are acquired in a single experiment and provide mutually complementary information to completely assign individual metabolites in a mixture. The GFT (3,2)D [¹³C, ¹H] HSQC–TOCSY provides 3D correlations in a reduced dimensionality manner facilitating high resolution and unambiguous assignments. The experiments were applied for complete ¹H and ¹³C assignments of a mixture of 21 unlabeled metabolites corresponding to a medium used in assisted reproductive technology. Taken together, the experiments provide time gain of order of magnitudes compared to the conventional data acquisition methods and can be combined with other fast NMR techniques such as non-uniform sampling and covariance spectroscopy. This provides new avenues for using multiple receivers and projection NMR techniques for high-throughput approaches in metabolomics.     

Smooth muscle and NMR review: An overview of smooth muscle metabolism

Nuclear magnetic resonance (NMR) is a non-invasive technique which allows us to examine the biochemical, physiological and metabolic events occurring inside living tissue; such as vascular and other smooth muscles.It has been found that the smooth muscle metabolism is compartmented such that mitochondrial function fuels contraction and that much glycolytic ATP production is used for membrane pumps. Using NMR we have been able to observe the ATP and phosphocreatine (PCr) concentrations and estimate the ADP concentration, as well as flux through the creatine kinase (CK) system. It has also been found that the smooth muscle metabolism is able to maintain ATP concentration in the absence of mitochondrial function (cyanide inhibition). Therefore, the vessels are able to adapt to metabolic demands as necessary.NMR is versatile in the information it can provide because it has also yielded important contributions with regard to the intracellular pH and ionic status. For example, the intracellular free Mg²⁺ ([Mg²⁺]_i) can be measured with NMR simultaneously with ATP concentrations and NMR has shown us that the [Mg²⁺]_i is highly protected in the muscle (within confined range), but also responds to the environment around it.In this review we conclude that NMR measurements of smooth muscle research is a useful technique for assessing chronic and acute changes that occur in the tissue and during diseases.     

Characterization of uniformly and atom-specifically C-labeled heparin and heparan sulfate polysaccharide precursors using C NMR spectroscopy and ESI mass spectrometry

The biological actions of heparin and heparan sulfate, two structurally related glycosaminoglycans, depend on the organization of the complex heparanome. Due to the structural complexity of the heparanome, the sequence of variably sulfonated uronic acid and glucosamine residues is usually characterized by the analysis of smaller oligosaccharide and disaccharide fragments. Even characterization of smaller heparin and heparan sulfate oligosaccharide or disaccharide fragments using simple 1D ¹H NMR spectroscopy is often complicated by the extensive signal overlap. ¹³C NMR signals, on the other hand, overlap less and therefore, ¹³C NMR spectroscopy can greatly facilitate the structural elucidation of the complex heparanome and provide finer insights into the structural basis for biological functions. This is the first report of the preparation of anomeric carbon-specific ¹³C-labeled heparin and heparan sulfate precursors from the Escherichia coli K5 strain. Uniformly ¹³C- and ¹⁵N-labeled precursors were also produced and characterized by ¹³C NMR spectroscopy. Mass spectrometric analysis of enzymatically fragmented disaccharides revealed that anomeric carbon-specific labeling efforts resulted in a minor loss/scrambling of ¹³C in the precursor backbone, whereas uniform labeling efforts resulted in greater than 95% ¹³C isotope enrichment in the precursor backbone. These labeled precursors provided high-resolution NMR signals with great sensitivity and set the stage for studying the heparanome-proteome interactions.     

Comparative study of the AT1 receptor prodrug antagonist candesartan cilexetil with other sartans on the interactions with membrane bilayers

Drug–membrane interactions of the candesartan cilexetil (TCV-116) have been studied on molecular basis by applying various complementary biophysical techniques namely differential scanning calorimetry (DSC), Raman spectroscopy, small and wide angle X-ray scattering (SAXS and WAXS), solution ¹H and ¹³C nuclear magnetic resonance (NMR) and solid state ¹³C and ³¹P (NMR) spectroscopies. In addition, ³¹P cross polarization (CP) NMR broadline fitting methodology in combination with ab initio computations has been applied. Finally molecular dynamics (MD) was applied to find the low energy conformation and position of candesartan cilexetil in the bilayers. Thus, the experimental results complemented with in silico MD results provided information on the localization, orientation, and dynamic properties of TCV-116 in the lipidic environment. The effects of this prodrug have been compared with other AT₁ receptor antagonists hitherto studied. The prodrug TCV-116 as other sartans has been found to be accommodated in the polar/apolar interface of the bilayer. In particular, it anchors in the mesophase region of the lipid bilayers with the tetrazole group oriented toward the polar headgroup spanning from water interface toward the mesophase and upper segment of the hydrophobic region. In spite of their localization identity, their thermal and dynamic effects are distinct pointing out that each sartan has its own fingerprint of action in the membrane bilayer, which is determined by the parameters derived from the above mentioned biophysical techniques.     

INCA 2.0: A tool for integrated,dynamic modeling of NMR- and MS-based isotopomer measurements and rigorous metabolic flux analysis

Metabolic flux analysis (MFA) combines experimental measurements and computational modeling to determine biochemical reaction rates in live biological systems. Advancements in analytical instrumentation, such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS), have facilitated chemical separation and quantification of isotopically enriched metabolites. However, no software packages have been previously described that can integrate isotopomer measurements from both MS and NMR analytical platforms and have the flexibility to estimate metabolic fluxes from either isotopic steady-state or dynamic labeling experiments. By applying physiologically relevant cardiac and hepatic metabolic models to assess NMR isotopomer measurements, we herein test and validate new modeling capabilities of our enhanced flux analysis software tool, INCA 2.0. We demonstrate that INCA 2.0 can simulate and regress steady-state ¹³C NMR datasets from perfused hearts with an accuracy comparable to other established flux assessment tools. Furthermore, by simulating the infusion of three different ¹³C acetate tracers, we show that MFA based on dynamic ¹³C NMR measurements can more precisely resolve cardiac fluxes compared to isotopically steady-state flux analysis. Finally, we show that estimation of hepatic fluxes using combined ¹³C NMR and MS datasets improves the precision of estimated fluxes by up to 50%. Overall, our results illustrate how the recently added NMR data modeling capabilities of INCA 2.0 can enable entirely new experimental designs that lead to improved flux resolution and can be applied to a wide range of biological systems and measurement time courses.     

Structure, dynamics and mapping of membrane-binding residues of micelle-bound antimicrobial peptides by natural abundance C NMR spectroscopy

Worldwide bacterial resistance to traditional antibiotics has drawn much research attention to naturally occurring antimicrobial peptides (AMPs) owing to their potential as alternative antimicrobials. Structural studies of AMPs are essential for an in-depth understanding of their activity, mechanism of action, and in guiding peptide design. Two-dimensional solution proton NMR spectroscopy has been the major tool. In this article, we describe the applications of natural abundance ¹³C NMR spectroscopy that provides complementary information to 2D ¹H NMR. The correlation of ¹³Cα secondary shifts with both 3D structure and heteronuclear ¹⁵N NOE values indicates that natural abundance carbon chemical shifts are useful probes for backbone structure and dynamics of membrane peptides. Using human LL-37-derived peptides (GF-17, KR-12, and RI-10), as well as amphibian antimicrobial and anticancer peptide aurein 1.2 and its analog LLAA, as models, we show that the cross peak intensity plots of 2D ¹H-¹³Cα HSQC spectra versus residue number present a wave-like pattern (HSQC wave) where key hydrophobic residues of micelle-bound peptides are located in the troughs with weaker intensities, probably due to fast exchange between the free and bound forms. In all the cases, the identification of aromatic phenylalanines as a key membrane-binding residue is consistent with previous intermolecular Phe-lipid NOE observations. Furthermore, mutation of one of the key hydrophobic residues of KR-12 to Ala significantly reduced the antibacterial activity of the peptide mutants. These results illustrate that natural abundance heteronuclear-correlated NMR spectroscopy can be utilized to probe backbone structure and dynamics, and perhaps to map key membrane-binding residues of peptides in complex with micelles. ¹H-¹³Cα HSQC wave, along with other NMR waves such as dipolar wave and chemical shift wave, offers novel insights into peptide-membrane interactions from different angles.     

Temperature dependence of fast carbonyl backbone dynamics in chicken villin headpiece subdomain

Temperature-dependence of protein dynamics can provide information on details of the free energy landscape by probing the characteristics of the potential responsible for the fluctuations. We have investigated the temperature-dependence of picosecond to nanosecond backbone dynamics at carbonyl carbon sites in chicken villin headpiece subdomain protein using a combination of three NMR relaxation rates: ¹³C′ longitudinal rate, and two cross-correlated rates involving dipolar and chemical shift anisotropy (CSA) relaxation mechanisms, ¹³C′/¹³C′-¹³C^α CSA/dipolar and ¹³C′/¹³C′–¹⁵N CSA/dipolar. Order parameters have been extracted using the Lipari-Szabo model-free approach assuming a separation of the time scales of internal and molecular motions in the 2–16°C temperature range. There is a gradual deviation from this assumption from lower to higher temperatures, such that above 16°C the separation of the time scales is inconsistent with the experimental data and, thus, the Lipari-Szabo formalism can not be applied. While there are variations among the residues, on the average the order parameters indicate a markedly steeper temperature dependence at backbone carbonyl carbons compared to that probed at amide nitrogens in an earlier study. This strongly advocates for probing sites other than amide nitrogen for accurate characterization of the potential and other thermodynamics characteristics of protein backbone.     

Prospects for resonance assignments in multidimensional solid-state NMR spectra of uniformly labeled proteins

Summary The feasibility of assigning the backbone ¹⁵N and ¹³C NMR chemical shifts in multidimensional magic angle spinning NMR spectra of uniformly isotopically labeled proteins and peptides in unoriented solid samples is assessed by means of numerical simulations. The goal of these simulations is to examine how the upper limit on the size of a peptide for which unique assignments can be made depends on the spectral resolution, i.e., the NMR line widths. Sets of simulated three-dimensional chemical shift correlation spectra for artificial peptides of varying length are constructed from published liquid-state NMR chemical shift data for ubiquitin, a well-characterized soluble protein. Resonance assignments consistent with these spectra to within the assumed spectral resolution are found by a numerical search algorithm. The dependence of the number of consistent assignments on the assumed spectral resolution and on the length of the peptide is reported. If only three-dimensional chemical shift correlation data for backbone ¹⁵N and ¹³C nuclei are used, and no residue-specific chemical shift information, information from amino acid side-chain signals, and proton chemical shift information are available, a spectral resolution of 1 ppm or less is generally required for a unique assignment of backbone chemical shifts for a peptide of 30 amino acid residues.     

Refinement of protein structure against non-redundant carbonyl <Superscript>13</Superscript>C NMR relaxation

Carbonyl ¹³C′ relaxation is dominated by the contribution from the ¹³C′ chemical shift anisotropy (CSA). The relaxation rates provide useful and non-redundant structural information in addition to dynamic parameters. It is straightforward to acquire, and offers complimentary structural information to the ¹⁵N relaxation data. Furthermore, the non-axial nature of the ¹³C′ CSA tensor results in a T₁/T₂ value that depends on an additional angular variable even when the diffusion tensor of the protein molecule is axially symmetric. This dependence on an extra degree of freedom provides new geometrical information that is not available from the NH dipolar relaxation. A protocol that incorporates such structural restraints into NMR structure calculation was developed within the program Xplor-NIH. Its application was illustrated with the yeast Fis1 NMR structure. Refinement against the ¹³C′ T₁/T₂ improved the overall quality of the structure, as evaluated by cross-validation against the residual dipolar coupling as well as the ¹⁵N relaxation data. In addition, possible variations of the CSA tensor were addressed. Electronic Supplementary Material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Development and application of aromatic [13C, 1H] SOFAST-HMQC NMR experiment for nucleic acids

Higher sensitivity of NMR spectrometers and novel isotopic labeling schemes have ushered the development of rapid data acquisition methodologies, improving the time resolution with which NMR data can be acquired. For nucleic acids, longitudinal relaxation optimization in conjunction with Ernst angle excitation (SOFAST-HMQC) for imino protons, in addition to rendering rapid pulsing, has been demonstrated to yield significant improvements in sensitivity per unit time. Extending such methodology to other spins offers a viable prospect to measure additional chemical shifts, thereby broadening their utilization for various applications. Here, we introduce the 2D [¹³C, ¹H] aromatic SOFAST-HMQC that results in overall sensitivity gain of 1.4- to 1.7-fold relative to the conventional HMQC and can also be extended to yield long-range heteronuclear chemical shifts such as the adenine imino nitrogens N1, N3, N7 and N9. The applications of these experiments range from monitoring real-time biochemical processes, drug/ligand screening, and to collecting data at very low sample concentration and/or in cases where isotopic enrichment cannot be achieved.     

A C-detection NMR approach for large glycoproteins

NMR spectroscopy has great potential to provide us with information on structure and dynamics at atomic resolution of glycoproteins in solution. In larger glycoproteins, however, the detrimental fast ¹H transverse relaxation renders the conventional ¹H-detected NMR experiments difficult. ¹³C direct detection potentially offers a valuable alternative to ¹H detection to overcome the fast T₂ relaxation. Here, we applied ¹³C-detected NMR methods to observe the NMR signals of ¹³C-labeled glycans attached to the Fc fragment of immunoglobulin G with a molecular mass of 56 kDa. Spectral analysis revealed that a ¹³C-detected ¹³C-¹³C NOESY experiment is highly useful for spectral assignments of the glycans of large glycoproteins. This approach would be, in part, complementary to ¹³C-¹³C TOCSY and ¹H-detection experiments.     

CPMG relaxation dispersion NMR experiments measuring glycine 1Hα and 13Cα chemical shifts in the ‘invisible’ excited states of proteins

Carr-Purcell-Meiboom-Gill (CPMG) relaxation dispersion NMR experiments are extremely powerful for characterizing millisecond time-scale conformational exchange processes in biomolecules. A large number of such CPMG experiments have now emerged for measuring protein backbone chemical shifts of sparsely populated (>0.5%), excited state conformers that cannot be directly detected in NMR spectra and that are invisible to most other biophysical methods as well. A notable deficiency is, however, the absence of CPMG experiments for measurement of ¹H^α and ¹³C^α chemical shifts of glycine residues in the excited state that reflects the fact that in this case the ¹H^α, ¹³C^α spins form a three-spin system that is more complex than the AX ¹H^α–¹³C^α spin systems in the other amino acids. Here pulse sequences for recording ¹H^α and ¹³C^α CPMG relaxation dispersion profiles derived from glycine residues are presented that provide information from which ¹H^α, ¹³C^α chemical shifts can be obtained. The utility of these experiments is demonstrated by an application to a mutant of T4 lysozyme that undergoes a millisecond time-scale exchange process facilitating the binding of hydrophobic ligands to an internal cavity in the protein.