NMR characterization of HtpG,the <Emphasis Type="Italic">E. coli</Emphasis> Hsp90, using sparse labeling with <Superscript>13</Superscript>C-methyl alanine

A strategy for acquiring structural information from sparsely isotopically labeled large proteins is illustrated with an application to the E. coli heat-shock protein, HtpG (high temperature protein G), a 145 kDa dimer. It uses ¹³C-alanine methyl labeling in a perdeuterated background to take advantage of the sensitivity and resolution of Methyl-TROSY spectra, as well as the backbone-centered structural information from ¹H–¹³C residual dipolar couplings (RDCs) of alanine methyl groups. In all, 40 of the 47 expected crosspeaks were resolved and 36 gave RDC data. Assignments of crosspeaks were partially achieved by transferring assignments from those made on individual domains using triple resonance methods. However, these were incomplete and in many cases the transfer was ambiguous. A genetic algorithm search for consistency between predictions based on domain structures and measurements for chemical shifts and RDCs allowed 60% of the 40 resolved crosspeaks to be assigned with confidence. Chemical shift changes of these crosspeaks on adding an ATP analog to the apo-protein are shown to be consistent with structural changes expected on comparing previous crystal structures for apo- and complex- structures. RDCs collected on the assigned alanine methyl peaks are used to generate a new solution model for the apo-protein structure.     

NMR resonance assignments for sparsely <Superscript>15</Superscript>N labeled proteins

For larger proteins, and proteins not amenable to expression in bacterial hosts, it is difficult to deduce structures using NMR methods based on uniform ¹³C, ¹⁵N isotopic labeling and observation of just nuclear Overhauser effects (NOEs). In these cases, sparse labeling with selected ¹⁵N enriched amino acids and extraction of a wider variety of backbone-centered structural constraints is providing an alternate approach. A limitation, however, is the absence of resonance assignment strategies that work without uniform ¹⁵N, ¹³C labeling or preparation of numerous samples labeled with pairs of isotopically labeled amino acids. In this paper an approach applicable to a single sample prepared with sparse ¹⁵N labeling in selected amino acids is presented. It relies on correlation of amide proton exchange rates, measured from data on the intact protein and on digested and sequenced peptides. Application is illustrated using the carbohydrate binding protein, Galectin-3. Limitations and future applications are discussed.     

NMR resonance assignment of selectively labeled proteins by the use of paramagnetic ligands

Selective isotopic labeling of larger proteins greatly simplifies protein NMR spectra and reduces signal overlap, but selectively labeled proteins cannot be easily assigned since the sequential assignment method is not applicable. Here we describe a strategy for resonance assignment in selectively labeled proteins. Our approach involves a spin-labeled analog of a ligand of which the three-dimensional structure in complex with the target protein is known. Other methods for introduction of the spin label are possible. The paramagnetic center causes faster relaxation of all neighboring nuclei in a distance-dependent manner. Measurement of this effect allows to deduce distances between isotopically labeled residues and the paramagnetic center which can be used for resonance assignment. The method is demonstrated for the catalytic domain of Abl kinase in complex with the inhibitor, STI571.     

One simple step in the identification of the cofactors signals, one giant leap for the solution structure determination of multiheme proteins

Multiheme proteins play major roles in various biological systems. Structural information on these systems in solution is crucial to understand their functional mechanisms. However, the presence of numerous proton-containing groups in the heme cofactors and the magnetic properties of the heme iron, in particular in the oxidised state, complicates significantly the assignment of the NMR signals. Consequently, the multiheme proteins superfamily is extremely under-represented in structural databases, which constitutes a severe bottleneck in the elucidation of their structural-functional relationships. In this work, we present a strategy that simplifies the assignment of the NMR signals in multiheme proteins and, concomitantly, their solution structure determination, using the triheme cytochrome PpcA from the bacterium Geobacter sulfurreducens as a model. Cost-effective isotopic labeling was used to double label (¹³C/¹⁵N) the protein in its polypeptide chain, with the correct folding and heme post-translational modifications. The combined analysis of ¹H-¹³C HSQC NMR spectra obtained for labeled and unlabeled samples of PpcA allowed a straight discrimination between the heme cofactors and the polypeptide chain signals and their confident assignment. The results presented here will be the foundations to assist solution structure determination of multiheme proteins, which are still very scarce in the literature.     

Amino acid selective unlabeling for sequence specific resonance assignments in proteins

Sequence specific resonance assignment constitutes an important step towards high-resolution structure determination of proteins by NMR and is aided by selective identification and assignment of amino acid types. The traditional approach to selective labeling yields only the chemical shifts of the particular amino acid being selected and does not help in establishing a link between adjacent residues along the polypeptide chain, which is important for sequential assignments. An alternative approach is the method of amino acid selective ‘unlabeling’ or reverse labeling, which involves selective unlabeling of specific amino acid types against a uniformly ¹³C/¹⁵N labeled background. Based on this method, we present a novel approach for sequential assignments in proteins. The method involves a new NMR experiment named, {¹²CO _i –¹⁵N _i+1}-filtered HSQC, which aids in linking the ¹H^N/¹⁵N resonances of the selectively unlabeled residue, i, and its C-terminal neighbor, i + 1, in HN-detected double and triple resonance spectra. This leads to the assignment of a tri-peptide segment from the knowledge of the amino acid types of residues: i − 1, i and i + 1, thereby speeding up the sequential assignment process. The method has the advantage of being relatively inexpensive, applicable to ²H labeled protein and can be coupled with cell-free synthesis and/or automated assignment approaches. A detailed survey involving unlabeling of different amino acid types individually or in pairs reveals that the proposed approach is also robust to misincorporation of ¹⁴N at undesired sites. Taken together, this study represents the first application of selective unlabeling for sequence specific resonance assignments and opens up new avenues to using this methodology in protein structural studies.     

Determination of molecular alignment tensors without backbone resonance assignment: Aid to rapid analysis of protein-protein interactions

Based on high-resolution structures of the free molecules accurate determination of structures of protein complexes by NMR spectroscopy is possible using residual dipolar couplings. In order, however, to be able to apply these methods, protein backbone resonances have to be assigned first. This NMR assignment process is particularly difficult and time consuming for protein sizes above 20 kDa. Here we show that, when NMR resonances belonging to a specific amino acid type are selected either by amino acid specific labeling, by their characteristic C/C chemical shifts or by dedicated NMR experiments, molecular alignment tensors of proteins up to 80 kDa can be determined without prior backbone resonance assignment. This offers the opportunity to greatly accelerate determination of three-dimensional structures of protein-protein and protein-ligand complexes, and validation of multimeric states of proteins. Moreover, exhaustive back-calculation can be performed using only ¹D_NH couplings. Therefore, it avoids expensive ¹³C-labeling and it gives access to orientational information for large proteins that strongly aggregate at concentrations above 50 M, i.e., experimental conditions where 3D triple resonance experiments are not sensitive enough to allow backbone resonance assignment.     

NMR Resonance Assignment Methodology: Characterizing Large Sparsely Labeled Glycoproteins

Characterization of proteins using NMR methods begins with assignment of resonances to specific residues. This is usually accomplished using sequential connectivities between nuclear pairs in proteins uniformly labeled with NMR active isotopes. This becomes impractical for larger proteins, and especially for proteins that are best expressed in mammalian cells, including glycoproteins. Here an alternate protocol for the assignment of NMR resonances of sparsely labeled proteins, namely, the ones labeled with a single amino acid type, or a limited subset of types, isotopically enriched with ¹⁵N or ¹³C, is described. The protocol is based on comparison of data collected using extensions of simple two-dimensional NMR experiments (correlated chemical shifts, nuclear Overhauser effects, residual dipolar couplings) to predictions from molecular dynamics trajectories that begin with known protein structures. Optimal pairing of predicted and experimental values is facilitated by a software package that employs a genetic algorithm, ASSIGN_SLP_MD. The approach is applied to the 36-kDa luminal domain of the sialyltransferase, rST6Gal1, in which all phenylalanines are labeled with ¹⁵N, and the results are validated by elimination of resonances via single-point mutations of selected phenylalanines to tyrosines. Assignment allows the use of previously published paramagnetic relaxation enhancements to evaluate placement of a substrate analog in the active site of this protein. The protocol will open the way to structural characterization of the many glycosylated and other proteins that are best expressed in mammalian cells.     

Site-selective <Superscript>13</Superscript>C labeling of histidine and tryptophan using ribose

Nuclear magnetic resonance spectroscopy studies of ever larger systems have benefited from many different forms of isotope labeling, in particular, site specific isotopic labeling. Site specific ¹³C labeling of methyl groups has become an established means of probing systems not amenable to traditional methodology. However useful, methyl reporter sites can be limited in number and/or location. Therefore, new complementary site specific isotope labeling strategies are valuable. Aromatic amino acids make excellent probes since they are often found at important interaction interfaces and play significant structural roles. Aromatic side chains have many of the same advantages as methyl containing amino acids including distinct ¹³C chemical shifts and multiple magnetically equivalent ¹H positions. Herein we report economical bacterial production and one-step purification of phenylalanine with ¹³C incorporation at the Cα, Cγ and Cε positions, resulting in two isolated ¹H-¹³C spin systems. We also present methodology to maximize incorporation of phenylalanine into recombinantly overexpressed proteins in bacteria and demonstrate compatibility with ILV-methyl labeling. Inexpensive, site specific isotope labeled phenylalanine adds another dimension to biomolecular NMR, opening new avenues of study.     

Observing selected domains in multi-domain proteins via sortase-mediated ligation and NMR spectroscopy

NMR spectroscopy has distinct advantages for providing insight into protein structures, but faces significant resolution challenges as protein size increases. To alleviate such resonance overlap issues, the ability to produce segmentally labeled proteins is beneficial. Here we show that the S. aureus transpeptidase sortase A can be used to catalyze the ligation of two separately expressed domains of the same protein, MecA (B. subtilis). The yield of purified, segmentally labeled MecA protein conjugate is ~40%. The resultant HSQC spectrum obtained from this domain-labeled conjugate demonstrates successful application of sortase A for segmental labeling of multi-domain proteins for solution NMR study.     

Resonance assignment strategies for the analysis of nmr spectra of proteins

Determination of the high resolution solution structure of a protein using nuclear magnetic resonance (NMR) spectroscopy requires that resonances observed in the NMR spectra be unequivocally assigned to individual nuclei of the protein. With the advent of modern, two-dimensional NMR techniques arose methodologies for assigning the¹H resonances based on 2D, homonuclear¹H NMR experiments. These include the sequential assignment strategy and the main chain directed strategy. These basic strategies have been extended to include newer 3D homonuclear experiments and 2D and 3D heteronuclear resolved and edited methods. Most recently a novel, conceptually new approach to the problem has been introduced that relies on heteronuclear, multidimensional so-called triple resonance experiments for both backbone and sidechain resonance assignments in proteins. This article reviews the evolution of strategies for the assignment of resonances of proteins.     

Isotopic labeling of mammalian G protein-coupled receptors heterologously expressed in Caenorhabditis elegans

High-resolution structural determination and dynamic characterization of membrane proteins by nuclear magnetic resonance (NMR) require their isotopic labeling. Although a number of labeled eukaryotic membrane proteins have been successfully expressed in bacteria, they lack post-translational modifications and usually need to be refolded from inclusion bodies. This shortcoming of bacterial expression systems is particularly detrimental for the functional expression of G protein-coupled receptors (GPCRs), the largest family of drug targets, due to their inherent instability. In this work, we show that proteins expressed by a eukaryotic organism can be isotopically labeled and produced with a quality and quantity suitable for NMR characterization. Using our previously described expression system in Caenorhabditis elegans, we showed the feasibility of labeling proteins produced by these worms with ¹⁵N,¹³C by providing them with isotopically labeled bacteria. ²H labeling also was achieved by growing C. elegans in the presence of 70% heavy water. Bovine rhodopsin, simultaneously expressed in muscular and neuronal worm tissues, was employed as the “test” GPCR to demonstrate the viability of this approach. Although the worms’ cell cycle was slightly affected by the presence of heavy isotopes, the final protein yield and quality was appropriate for NMR structural characterization.     

Uniform labeling of a recombinant antibody Fv-fragment with 15N and 13C for heteronuclear NMR spectroscopy

The expression of functional antibody fragments in Escherichia coli enables a detailed analysis by NMR spectroscopy. This is demonstrated with the uniform labeling of an Fv-fragment (25 kDa) comprising the antigen binding site of an antibody against 2-phenyloxazolone with 15N and 13C. The antigen-complexed Fv-fragment was analysed for a potential assignment by heteronuclear multi-dimensional NMR spectroscopy. For almost all backbone amides 15N/1H crosspeaks and for 80% of them TOCSY crosspeaks were observed. In a 13C-edited-HCCH-2D experiment 17 out of 18 threonine spin-systems were identified. Thus detailed assignments are possible, but some amino acid specific labeling in addition to uniform labeling will be required for complete assignments of Fv-fragments.     

15N and 13C labeling of Escherichia coli tRNAs toward the NMR analysis.

Escherichia coli tRNAs were labeled with stable isotope 15N in vivo. Three species of tRNA, tRNA(Glu), tRNA(Lys) and tRNA(Ile), were purified by an HPLC system and their NMR spectra were observed. In heteronuclear 1H-15N multiple or single quantum coherence (HMQC or HSQC) spectra, the crosspeaks corresponding to NH3 of U and NH1 of G can be distinguished clearly since their 15N chemical shifts are significantly different from each other. Thus, this combination of 15N-labeling and the proton detected heteronuclear experiments are useful for the signal assignment and the conformational analysis of tRNAs. Furthermore, C1'- selective 13C-labeling of nucleotides was examined in vivo in order to resolve the H1' signals of tRNAs. By using a newly constructed E. coli mutant strain, the isotopic enrichments of more than 90% at C1' and of less than 10% for other ribose carbons were achieved.     

Isotopic labeling of recombinant proteins expressed in the protozoan host Leishmania tarentolae

Isotope labeling of recombinant proteins is a prerequisite for application of nuclear magnetic resonance spectroscopy (NMR) for the characterization of the three-dimensional structures and dynamics of proteins. Overexpression of isotopically labeled proteins in bacterial or yeast host organisms has several drawbacks. In this work, we tested whether the recently described eukaryotic protein expression system based on the protozoa Leishmania tarentolae could be used for production of amino acid specific (15)N-labeled recombinant proteins. Using synthetic growth medium we were able to express in L. tarentolae and purify to homogeneity (15)N-valine labeled Enchanced Green Fluorescent Protein (EGFP) with the final yield of 5.7 mg/liter of suspension culture. NMR study of isolated EGFP illustrated the success of the labeling procedure allowing identification of all 18 valine residues of the protein in the HSQC spectrum. Our results demonstrate the suitability of the L. tarentolae expression system for production of isotopically labeled proteins.     

Bacterial collagen‐binding domain targets undertwisted regions of collagen

Clostridium histolyticum collagenase causes extensive degradation of collagen in connective tissue that results in gas gangrene. The C‐terminal collagen‐binding domain (CBD) of these enzymes is the minimal segment required to bind to a collagen fibril. CBD binds unidirectionally to the undertwisted C‐terminus of triple helical collagen. Here, we examine whether CBD could also target undertwisted regions even in the middle of the triple helix. Collageneous peptides with an additional undertwisted region were synthesized by introducing a Gly → Ala substitution [(POG)_xPOA(POG)_y]₃, where x + y = 9 and x > 3). ¹H–¹⁵N heteronuclear single quantum coherence nuclear magnetic resonance (HSQC NMR) titration studies with ¹⁵N‐labeled CBD demonstrated that the minicollagen binds to a 10 Å wide 25 Å long cleft. Six collagenous peptides each labeled with a nitroxide radical were then titrated with ¹⁵N‐labeled CBD. CBD binds to either the Gly → Ala substitution site or to the C‐terminus of each minicollagen. Small‐angle X‐ray scattering measurements revealed that CBD prefers to bind the Gly → Ala site to the C‐terminus. The HSQC NMR spectra of ¹⁵N‐labeled minicollagen and minicollagen with undertwisted regions were unaffected by the titration of unlabeled CBD. The results imply that CBD binds to the undertwisted region of the minicollagen but does not actively unwind the triple helix.     

Optimization of amino acid type-specific <Superscript>13</Superscript>C and <Superscript>15</Superscript>N labeling for the backbone assignment of membrane proteins by solution- and solid-state NMR with the UPLABEL algorithm

We present a computational method for finding optimal labeling patterns for the backbone assignment of membrane proteins and other large proteins that cannot be assigned by conventional strategies. Following the approach of Kainosho and Tsuji (Biochemistry 21:6273–6279 (1982)), types of amino acids are labeled with ¹³C or/and ¹⁵N such that cross peaks between ¹³CO(i – 1) and ¹⁵NH(i) result only for pairs of sequentially adjacent amino acids of which the first is labeled with ¹³C and the second with ¹⁵N. In this way, unambiguous sequence-specific assignments can be obtained for unique pairs of amino acids that occur exactly once in the sequence of the protein. To be practical, it is crucial to limit the number of differently labeled protein samples that have to be prepared while obtaining an optimal extent of labeled unique amino acid pairs. Our computer algorithm UPLABEL for optimal unique pair labeling, implemented in the program CYANA and in a standalone program, and also available through a web portal, uses combinatorial optimization to find for a given amino acid sequence labeling patterns that maximize the number of unique pair assignments with a minimal number of differently labeled protein samples. Various auxiliary conditions, including labeled amino acid availability and price, previously known partial assignments, and sequence regions of particular interest can be taken into account when determining optimal amino acid type-specific labeling patterns. The method is illustrated for the assignment of the human G-protein coupled receptor bradykinin B2 (B₂R) and applied as a starting point for the backbone assignment of the membrane protein proteorhodopsin.     

Methods to Identify the NMR Resonances of the 13C-Dimethyl N-terminal Amine on Reductively Methylated Proteins

Nuclear magnetic resonance (NMR) spectroscopy is a proven technique for protein structure and dynamic studies. To study proteins with NMR, stable magnetic isotopes are typically incorporated metabolically to improve the sensitivity and allow for sequential resonance assignment. Reductive ¹³C-methylation is an alternative labeling method for proteins that are not amenable to bacterial host over-expression, the most common method of isotope incorporation. Reductive ¹³C-methylation is a chemical reaction performed under mild conditions that modifies a protein''s primary amino groups (lysine ε-amino groups and the N-terminal α-amino group) to ¹³C-dimethylamino groups. The structure and function of most proteins are not altered by the modification, making it a viable alternative to metabolic labeling. Because reductive ¹³C-methylation adds sparse, isotopic labels, traditional methods of assigning the NMR signals are not applicable. An alternative assignment method using mass spectrometry (MS) to aid in the assignment of protein ¹³C-dimethylamine NMR signals has been developed. The method relies on partial and different amounts of ¹³C-labeling at each primary amino group. One limitation of the method arises when the protein''s N-terminal residue is a lysine because the α- and ε-dimethylamino groups of Lys1 cannot be individually measured with MS. To circumvent this limitation, two methods are described to identify the NMR resonance of the ¹³C-dimethylamines associated with both the N-terminal α-amine and the side chain ε-amine. The NMR signals of the N-terminal α-dimethylamine and the side chain ε-dimethylamine of hen egg white lysozyme, Lys1, are identified in ¹H-¹³C heteronuclear single-quantum coherence spectra.     

RNA-PAIRS: RNA probabilistic assignment of imino resonance shifts

The significant biological role of RNA has further highlighted the need for improving the accuracy, efficiency and the reach of methods for investigating RNA structure and function. Nuclear magnetic resonance (NMR) spectroscopy is vital to furthering the goals of RNA structural biology because of its distinctive capabilities. However, the dispersion pattern in the NMR spectra of RNA makes automated resonance assignment, a key step in NMR investigation of biomolecules, remarkably challenging. Herein we present RNA Probabilistic Assignment of Imino Resonance Shifts (RNA-PAIRS), a method for the automated assignment of RNA imino resonances with synchronized verification and correction of predicted secondary structure. RNA-PAIRS represents an advance in modeling the assignment paradigm because it seeds the probabilistic network for assignment with experimental NMR data, and predicted RNA secondary structure, simultaneously and from the start. Subsequently, RNA-PAIRS sets in motion a dynamic network that reverberates between predictions and experimental evidence in order to reconcile and rectify resonance assignments and secondary structure information. The procedure is halted when assignments and base-parings are deemed to be most consistent with observed crosspeaks. The current implementation of RNA-PAIRS uses an initial peak list derived from proton-nitrogen heteronuclear multiple quantum correlation (¹H–¹⁵N 2D HMQC) and proton–proton nuclear Overhauser enhancement spectroscopy (¹H–¹H 2D NOESY) experiments. We have evaluated the performance of RNA-PAIRS by using it to analyze NMR datasets from 26 previously studied RNAs, including a 111-nucleotide complex. For moderately sized RNA molecules, and over a range of comparatively complex structural motifs, the average assignment accuracy exceeds 90%, while the average base pair prediction accuracy exceeded 93%. RNA-PAIRS yielded accurate assignments and base pairings consistent with imino resonances for a majority of the NMR resonances, even when the initial predictions are only modestly accurate. RNA-PAIRS is available as a public web-server at .     

A new strategy for structure determination of large proteins in solution without deuteration

So far high-resolution structure determination by nuclear magnetic resonance (NMR) spectroscopy has been limited to proteins <30 kDa, although global fold determination is possible for substantially larger proteins. Here we present a strategy for assigning backbone and side-chain resonances of large proteins without deuteration, with which one can obtain high-resolution structures from (1)H-(1)H distance restraints. The strategy uses information from through-bond correlation experiments to filter intraresidue and sequential correlations from through-space correlation experiments, and then matches the filtered correlations to obtain sequential assignment. We demonstrate this strategy on three proteins ranging from 24 to 65 kDa for resonance assignment and on maltose binding protein (42 kDa) and hemoglobin (65 kDa) for high-resolution structure determination. The strategy extends the size limit for structure determination by NMR spectroscopy to 42 kDa for monomeric proteins and to 65 kDa for differentially labeled multimeric proteins without the need for deuteration or selective labeling.