Role for NMR in structural genomics

CAP modifies the structure of a model protein from thermophilic bacteria: mechanisms of CAP-mediated inactivation

Cold atmospheric plasma (CAP) has great potential for sterilization in the food industry, by deactivation of thermophilic bacteria, but the underlying mechanisms are largely unknown. Therefore, we investigate here whether CAP is able to denature/modify protein from thermophilic bacteria. We focus on MTH1880 (MTH) from Methanobacterium thermoautotrophicum as model protein, which we treated with dielectric barrier discharge (DBD) plasma operating in air for 10, 15 and 20 mins. We analysed the structural changes of MTH using circular dichroism, fluorescence and NMR spectroscopy, as well as the thermal and chemical denaturation, upon CAP treatment. Additionally, we performed molecular dynamics (MD) simulations to determine the stability, flexibility and solvent accessible surface area (SASA) of both the native and oxidised protein.

Probing the Folding-Unfolding Transition of a Thermophilic Protein, MTH1880

The folding mechanism of typical proteins has been studied widely, while our understanding of the origin of the high stability of thermophilic proteins is still elusive. Of particular interest is how an atypical thermophilic protein with a novel fold maintains its structure and stability under extreme conditions. Folding-unfolding transitions of MTH1880, a thermophilic protein from Methanobacterium thermoautotrophicum, induced by heat, urea, and GdnHCl, were investigated using spectroscopic techniques including circular dichorism, fluorescence, NMR combined with molecular dynamics (MD) simulations. Our results suggest that MTH1880 undergoes a two-state N to D transition and it is extremely stable against temperature and denaturants. The reversibility of refolding was confirmed by spectroscopic methods and size exclusion chromatography. We found that the hyper-stability of the thermophilic MTH1880 protein originates from an extensive network of both electrostatic and hydrophobic interactions coordinated by the central β-sheet. Spectroscopic measurements, in combination with computational simulations, have helped to clarify the thermodynamic and structural basis for hyper-stability of the novel thermophilic protein MTH1880.

Autoinduction of protein expression

This unit contains protocols for the use of lactose-derived autoinduction in Escherichia coli. The protocols allow for reproducible expression trials to be undertaken with minimal user intervention. A basic protocol covers production of unlabeled proteins for functional studies. Alternate protocols for selenomethionine labeling for X-ray structural studies, and multi-well plate growth for screening and optimization are also included.

Lessons from structural genomics

A decade of structural genomics, the large-scale determination of protein structures, has generated a wealth of data and many important lessons for structural biology and for future large-scale projects. These lessons include a confirmation that it is possible to construct large-scale facilities that can determine the structures of a hundred or more proteins per year, that these structures can be of high quality, and that these structures can have an important impact. Technology development has played a critical role in structural genomics, the difficulties at each step of determining a structure of a particular protein can be quantified, and validation of technologies is nearly as important as the technologies themselves. Finally, rapid deposition of data in public databases has increased the impact and usefulness of the data and international cooperation has advanced the field and improved data sharing.

Maximum Entropy Spectral Reconstruction of Non-Uniformly Sampled Data

The time required to complete a multidimensional NMR experiment is directly proportional to the number of evolution times sampled in the indirect dimensions. A consequence when utilizing conventional methods of data acquisition and spectrum analysis is that resolution in the indirect dimensions is frequently sample-limited. The problem becomes more acute at very high magnetic fields, where increased chemical shift dispersion requires shorter time increments to avoid aliasing. It has long been recognized that a way to avoid this limitation is to utilize methods of spectrum analysis that do not require data to be sampled at uniform intervals, permitting the collection of data at long evolution times requisite for high resolution without requiring collection of data at all intervening multiples of the sampling interval. Several promising methods have evolved that are seemingly quite different, yet can be shown to yield similar results when applied to similar sampling strategies, emphasizing the importance of the choice of samples, regardless of the technique used to compute the spectrum. Maximum entropy (MaxEnt) reconstruction is a very general method for spectrum analysis of non-uniformly sampled data (NUS), and because it can be used with essentially arbitrary sampling strategies and makes no assumptions about the nature of the signal, it provides a convenient basis for exploring the influence of the choice of samples on spectral quality. In this article we use this versatility of MaxEnt reconstruction to compare different approaches to NUS in multidimensional NMR and suggest strategies for improving spectral quality by careful choice of sample times.

Microcoil NMR spectroscopy: a novel tool for biological high throughput NMR spectroscopy

Microcoil NMR spectroscopy is based on the increase of coil sensitivity for smaller coil diameters (approximately 1/d). Microcoil NMR probes deliver a remarkable mass-based sensitivity increase (8- to 12-fold) when compared with commonly used 5-mm NMR probes. Although microcoil NMR probes are a well established analytical tool for small molecule liquid-state NMR spectroscopy, after spectroscopy only recently have microcoil NMR probes become available for biomolecular NMR spectroscopy. This chapter highlights differences between commercially available microcoil NMR probes suitable for biomolecular NMR spectroscopy. Furthermore, it provides practical guidance for the use of microcoil probes and shows direct applications for structural biology and structural genomics, such as optimal target screening and structure determination, among others.

Enhanced bacterial protein expression during auto-induction obtained by alteration of lac repressor dosage and medium composition

The auto-induction method of protein expression in E. coli is based on diauxic growth resulting from dynamic function of lac operon regulatory elements (lacO and LacI) in mixtures of glucose, glycerol, and lactose. The results show that successful execution of auto-induction is strongly dependent on the plasmid promoter and repressor construction, on the oxygenation state of the culture, and on the composition of the auto-induction medium. Thus expression hosts expressing high levels of LacI during aerobic growth exhibit reduced ability to effectively complete the auto-induction process. Manipulation of the promoter to decrease the expression of LacI altered the preference for lactose consumption in a manner that led to increased protein expression and partially relieved the sensitivity of the auto-induction process to the oxygenation state of the culture. Factorial design methods were used to optimize the chemically defined growth medium used for expression of two model proteins, Photinus luciferase and enhanced green fluorescent protein, including variations for production of both unlabeled and selenomethionine-labeled samples. The optimization included studies of the expression from T7 and T7-lacI promoter plasmids and from T5 phage promoter plasmids expressing two levels of LacI. Upon the basis of the analysis of over 500 independent expression results, combinations of optimized expression media and expression plasmids that gave protein yields of greater than 1000 mug/mL of expression culture were identified.

Selective isotopic labeling of recombinant proteins using amino acid auxotroph strains

Labeling proteins with stable isotopes is important for many analytical and structural techniques, including NMR spectroscopy and mass spectrometry. Nonselective labeling, which uniformly labels all amino acids in the protein, may be accomplished with readily available wild-type expression hosts. However, there are often advantages to labeling a specific amino acid, and residue-selective labeling generally requires the use of an expression strain that is auxotrophic for the amino acid in order to efficiently incorporate the isotopic label. The behavior of an auxotrophic strain may be complicated by the regulatory properties of the biosynthetic pathway, by secondary nutritional requirements resulting from disruption of a biosynthetic pathway, and from acquired sensitivity to environmental factors resulting from build-up of metabolic intermediates. As a result, it is important to characterize the phenotype of the each auxotrophic strain in order to optimize its performance as an expression host for selective labeling of proteins. The application of aromatic auxotroph strains of Pichia pastoris to labeling tyrosines in a recombinant protein (galactose oxidase) will be used to illustrate selective-labeling methods.

Optimal isotope labelling for NMR protein structure determinations

Nuclear-magnetic-resonance spectroscopy can determine the three-dimensional structure of proteins in solution. However, its potential has been limited by the difficulty of interpreting NMR spectra in the presence of broadened and overlapping resonance lines and low signal-to-noise ratios. Here we present stereo-array isotope labelling (SAIL), a technique that can overcome many of these problems by applying a complete stereospecific and regiospecific pattern of stable isotopes that is optimal with regard to the quality and information content of the resulting NMR spectra. SAIL uses exclusively chemically and enzymatically synthesized amino acids for cell-free protein expression. We demonstrate for the 17-kDa protein calmodulin and the 41-kDa maltodextrin-binding protein that SAIL offers sharpened lines, spectral simplification without loss of information, and the ability to rapidly collect the structural restraints required to solve a high-quality solution structure for proteins twice as large as commonly solved by NMR. It thus makes a large class of proteins newly accessible to detailed solution structure determination.

Towards miniaturization of a structural genomics pipeline using micro-expression and microcoil NMR

In structural genomics centers, nuclear magnetic resonance (NMR) screening is in increasing use as a tool to identify folded proteins that are promising targets for three-dimensional structure determination by X-ray crystallography or NMR spectroscopy. The use of 1D 1H NMR spectra or 2D [1H,15N]-correlation spectroscopy (COSY) typically requires milligram quantities of unlabeled or isotope-labeled protein, respectively. Here, we outline ways towards miniaturization of a structural genomics pipeline with NMR screening for folded globular proteins, using a high-density micro-fermentation device and a microcoil NMR probe. The proteins are micro-expressed in unlabeled or isotope-labeled media, purified, and then subjected to 1D 1H NMR and/or 2D [1H,15N]-COSY screening. To demonstrate that the miniaturization is functioning effectively, we processed nine mouse homologue protein targets and compared the results with those from the "macro-scale" Joint Center of Structural Genomics (JCSG) high-throughput pipeline. The results from the two pipelines were comparable, illustrating that the data were not compromised in the miniaturized approach.

Optimization of resolution and sensitivity of 4D NOESY using multi-dimensional decomposition

Highly resolved multi-dimensional NOE data are essential for rapid and accurate determination of spatial protein structures such as in structural genomics projects. Four-dimensional spectra contain almost no spectral overlap inherently present in lower dimensionality spectra and are highly amenable to application of automated routines for spectral resonance location and assignment. However, a high resolution 4D data set using conventional uniform sampling usually requires unacceptably long measurement time. Recently we have reported that the use of non-uniform sampling and multi-dimensional decomposition (MDD) can remedy this problem. Here we validate accuracy and robustness of the method, and demonstrate its usefulness for fully protonated protein samples. The method was applied to 11 kDa protein PA1123 from structural genomics pipeline. A systematic evaluation of spectral reconstructions obtained using 15-100% subsets of the complete reference 4D 1H-13C-13C-1H NOESY spectrum has been performed. With the experimental time saving of up to six times, the resolution and the sensitivity per unit time is shown to be similar to that of the fully recorded spectrum. For the 30% data subset we demonstrate that the intensities in the reconstructed and reference 4D spectra correspond with a correlation coefficient of 0.997 in the full range of spectral amplitudes. Intensities of the strong, middle and weak cross-peaks correlate with coefficients 0.9997, 0.9965, and 0.83. The method does not produce false peaks. 2% of weak peaks lost in the 30% reconstruction is in line with theoretically expected noise increase for the shorter measurement time. Together with good accuracy in the relative line-widths these translate to reliable distance constrains derived from sparsely sampled, high resolution 4D NOESY data.

Construction and characterization of Pichia pastoris strains for labeling aromatic amino acids in recombinant proteins

Strains of the methylotrophic yeast Pichia pastoris auxotrophic for the aromatic amino acids (tyrosine, phenylalanine, and tryptophan) have been constructed by targeted gene disruption for protein labeling applications. Three strains, with defects in ARO1 (coding for a homolog of the arom pentafunctional enzyme), ARO7 (coding for chorismate mutase), and TYR1 (coding for prephenate dehydrogenase), have been engineered in a P. pastoris ura3Delta1 parent strain using standard methods. The nutritional requirements of these auxotrophic strains have been characterized and their utility as expression hosts for labeling recombinant proteins has been demonstrated. All three strains show a surprising sensitivity to rich culture medium and must be grown in supplemented minimal medium. The tyr1::URA3 strain in particular is strongly inhibited by tryptophan, and to a lesser extent by phenylalanine, leucine, and isoleucine. Highly efficient incorporation of exogenously supplied amino acids by these three auxotroph strains has been demonstrated using recombinant galactose oxidase. Stereochemically pure l-amino acids and racemic d,l-mixtures serve nearly equally well to support protein expression and labeling. These strains allow efficient labeling of aromatic amino acids in recombinant proteins, supporting NMR structural biology and a wide range of other biophysical studies.

NMR for structural proteomics of Thermotoga maritima: screening and structure determination

This paper describes the NMR screening of 141 small (<15 kDa) recombinant Thermotoga maritima proteins for globular folding. The experimental data shows that approximately 25% of the screened proteins are folded under our screening conditions, which makes this procedure an important step for selecting those proteins that are suitable for structure determination. A comparison of screening based either on 1D 1H NMR with unlabeled proteins or on 2D [1H,15N]-COSY with uniformly 15N-labeled proteins is presented, and a comprehensive analysis of the 1D 1H NMR screening data is described. As an illustration of the utility of these methods to structural proteomics, the NMR structure determination of TM1492 (ribosomal protein L29) is presented. This 66-residue protein consists of a N-terminal 3(10)-helix and two long alpha-helices connected by a tight turn centered about glycine 35, where conserved leucine and isoleucine residues in the two alpha-helices form a small hydrophobic core.

NMR screening and crystal quality of bacterially expressed prokaryotic and eukaryotic proteins in a structural genomics pipeline

In the Joint Center for Structural Genomics, one-dimensional (1D) 1H NMR spectroscopy is routinely used to characterize the folded state of protein targets and, thus, serves to guide subsequent crystallization efforts and to identify proteins for NMR structure determination. Here, we describe 1D 1H NMR screening of a group of 79 mouse homologue proteins, which correlates the NMR data with the outcome of subsequent crystallization experiments and crystallographic structure determination. Based on the 1D 1H NMR spectra, the proteins are classified into four groups, "A" to "D." A-type proteins are candidates for structure determination by NMR or crystallography; "B"-type are earmarked for crystallography; "C" indicates folded globular proteins with broadened line shapes; and "D" are nonglobular, "unfolded" polypeptides. The results obtained from coarse- and fine-screen crystallization trials imply that only A- and B-type proteins should be used for extensive crystallization trials in the future, with C and D proteins subjected only to coarse-screen crystallization trials. Of the presently studied 79 soluble protein targets, 63% yielded A- or B-quality 1D 1H NMR spectra. Although similar yields of crystallization hits were obtained for all four groups, A to D, crystals from A- and B-type proteins diffracted on average to significantly higher resolution than crystals produced from C- or D-type proteins. Furthermore, the output of refined crystal structures from this test set of proteins was 4-fold higher for A- and B-type than for C- and D-type proteins.

An integrated platform for automated analysis of protein NMR structures

Recent developments provide automated analysis of NMR assignments and three-dimensional (3D) structures of proteins. These approaches are generally applicable to proteins ranging from about 50 to 150 amino acids. In this chapter, we summarize progress by the Northeast Structural Genomics Consortium in standardizing the NMR data collection process for protein structure determination and in building an integrated platform for automated protein NMR structure analysis. Our integrated platform includes the following principal steps: (1) standardized NMR data collection, (2) standardized data processing (including spectral referencing and Fourier transformation), (3) automated peak picking and peak list editing, (4) automated analysis of resonance assignments, (5) automated analysis of NOESY data together with 3D structure determination, and (6) methods for protein structure validation. In particular, the software AutoStructure for automated NOESY data analysis is described in this chapter, together with a discussion of practical considerations for its use in high-throughput structure production efforts. The critical area of data quality assessment has evolved significantly over the past few years and involves evaluation of both intermediate and final peak lists, resonance assignments, and structural information derived from the NMR data. Methods for quality control of each of the major automated analysis steps in our platform are also discussed. Despite significant remaining challenges, when good quality data are available, automated analysis of protein NMR assignments and structures with this platform is both fast and reliable.

Production in two-liter beverage bottles of proteins for NMR structure determination labeled with either 15N- or 13C-15N

The use of 2-L polyethylene terephthalate beverage bottles as a bacterial culture vessel has been recently introduced as an enabling technology for high-throughput structural biology [Sanville Millard, C. et al., 2003. Protein Express. Purif. 29, 311-320]. In the article following this one [Stols et al., this issue, pp. 95-102], this approach was elaborated for selenomethionine labeling used for multiwavelength anomalous dispersion phasing in the X-ray crystallographic determinations of protein structure. Herein, we report an effective and reproducible schedule for uniform 15N- and 13C-labeling of recombinant proteins in 2-L beverage bottles for structural determination by NMR spectroscopy. As an example, three target proteins selected from Arabidopsis thaliana were expressed in Escherichia coli Rosetta (DE3)/pLysS from a T7-based expression vector, purified, and characterized by electrospray ionization mass spectrometry and NMR analysis by 1H-15N heteronuclear single quantum correlation spectroscopy. The results show that expressions in the unlabeled medium provide a suitable control for estimation of the level of production of the labeled protein. Mass spectral characterizations show that the purified proteins contained a level of isotopic incorporation equivalent to the isotopically labeled materials initially present in the growth medium, while NMR analysis of the [U-15N]-labeled proteins provided a convenient method to assess the solution state properties of the target protein prior to production of a more costly double-labeled sample.

Solution structure of a novel calcium binding protein, MTH1880, from Methanobacterium thermoautotrophicum

MTH1880 is a hypothetical protein from Methanobacterium thermoautotrophicum, a target organism of structural genomics. The solution structure determined by NMR spectroscopy demonstrates a typical alpha + beta-fold found in many proteins with different functions. The molecular surface of the protein reveals a small, highly acidic pocket comprising loop B (Asp36, Asp37, Asp38), the end of beta2 (Glu39), and loop D (Ser57, Ser58, Ser61), indicating that the protein would have a possible cation binding site. The NMR resonances of several amino acids within the acidic binding pocket in MTH1880, shifted upon addition of calcium ion. This calcium binding motif and overall topology of MTH1880 differ from those of other calcium binding proteins. MTH1880 did not show a calcium-induced conformational change typical of calcium sensor proteins. Therefore, we propose that the MTH1880 protein contains a novel motif for calcium-specific binding, and may function as a calcium buffering protein.

A generalized approach to automated NMR peak list editing: application to reduced dimensionality triple resonance spectra

We present an algorithm and program called Pattern Picker that performs editing of raw peak lists derived from multidimensional NMR experiments with characteristic peak patterns. Pattern Picker detects groups of correlated peaks within peak lists from reduced dimensionality triple resonance (RD-TR) NMR spectra, with high fidelity and high yield. With typical quality RD-TR NMR data sets, Pattern Picker performs almost as well as human analysis, and is very robust in discriminating real peak sets from noise and other artifacts in unedited peak lists. The program uses a depth-first search algorithm with short-circuiting to efficiently explore a search tree representing every possible combination of peaks forming a group. The Pattern Picker program is particularly valuable for creating an automated peak picking/editing process. The Pattern Picker algorithm can be applied to a broad range of experiments with distinct peak patterns including RD, G-matrix Fourier transformation (GFT) NMR spectra, and experiments to measure scalar and residual dipolar coupling, thus promoting the use of experiments that are typically harder for a human to analyze. Since the complexity of peak patterns becomes a benefit rather than a drawback, Pattern Picker opens new opportunities in NMR experiment design.

G-matrix Fourier transform NMR spectroscopy for complete protein resonance assignment

A G-matrix Fourier transform (GFT) NMR spectroscopy-based strategy for resonance assignment of proteins is described. Each of the GFT NMR experiments presented here rapidly affords four-, five-, or six-dimensional spectral information in combination with precise measurements of chemical shifts. The resulting high information content enables one to obtain nearly complete assignments by using only four NMR experiments. For the backbone amide proton detected "out-and-back" experiments, data collection was further accelerated up to approximately 2.5-fold by use of longitudinal (1)H relaxation optimization. The GFT NMR experiments were acquired for three proteins with molecular masses ranging from 8.6 to 17 kDa, demonstrating that the proposed strategy is of key interest for automated resonance assignment in structural genomics.

Automated protein fold determination using a minimal NMR constraint strategy

Determination of precise and accurate protein structures by NMR generally requires weeks or even months to acquire and interpret all the necessary NMR data. However, even medium-accuracy fold information can often provide key clues about protein evolution and biochemical function(s). In this article we describe a largely automatic strategy for rapid determination of medium-accuracy protein backbone structures. Our strategy derives from ideas originally introduced by other groups for determining medium-accuracy NMR structures of large proteins using deuterated, (13)C-, (15)N-enriched protein samples with selective protonation of side-chain methyl groups ((13)CH(3)). Data collection includes acquiring NMR spectra for automatically determining assignments of backbone and side-chain (15)N, H(N) resonances, and side-chain (13)CH(3) methyl resonances. These assignments are determined automatically by the program AutoAssign using backbone triple resonance NMR data, together with Spin System Type Assignment Constraints (STACs) derived from side-chain triple-resonance experiments. The program AutoStructure then derives conformational constraints using these chemical shifts, amide (1)H/(2)H exchange, nuclear Overhauser effect spectroscopy (NOESY), and residual dipolar coupling data. The total time required for collecting such NMR data can potentially be as short as a few days. Here we demonstrate an integrated set of NMR software which can process these NMR spectra, carry out resonance assignments, interpret NOESY data, and generate medium-accuracy structures within a few days. The feasibility of this combined data collection and analysis strategy starting from raw NMR time domain data was illustrated by automatic analysis of a medium accuracy structure of the Z domain of Staphylococcal protein A.