Time-resolved studies of metalloproteins using X-ray free electron laser radiation at SACLA

BackgroundThe invention of the X-ray free-electron laser (XFEL) has provided unprecedented new opportunities for structural biology. The advantage of XFEL is an intense pulse of X-rays and a very short pulse duration (<10 fs) promising a damage-free and time-resolved crystallography approach.Scope of reviewRecent time-resolved crystallographic analyses in XFEL facility SACLA are reviewed. Specifically, metalloproteins involved in the essential reactions of bioenergy conversion including photosystem II, cytochrome c oxidase and nitric oxide reductase are described.Major conclusionsXFEL with pump-probe techniques successfully visualized the process of the reaction and the dynamics of a protein. Since the active center of metalloproteins is very sensitive to the X-ray radiation, damage-free structures obtained by XFEL are essential to draw mechanistic conclusions. Methods and tools for sample delivery and reaction initiation are key for successful measurement of the time-resolved data.General significanceXFEL is at the center of approaches to gain insight into complex mechanism of structural dynamics and the reactions catalyzed by biological macromolecules. Further development has been carried out to expand the application of time-resolved X-ray crystallography. This article is part of a Special Issue entitled Novel measurement techniques for visualizing ‘live’ protein molecules.     

Metalloproteomics, metalloproteomes, and the annotation of metalloproteins

Metalloproteomics includes approaches that address the expression of metalloproteins and their changes in biological time and space. Metalloproteomes are investigated by a combination of approaches. Experimental approaches include structural genomics, which provides insights into the architecture of metal-binding sites in metalloproteins and establishes ligand signatures from the types and spacings of the metal ligands in the protein sequence. Theoretical approaches employ these ligand signatures as templates for homology searches in sequence databases. In this way, the number of metalloproteins in the iron, copper, and zinc metalloproteomes in various phyla of life has been estimated. Yet, manganese metalloproteomes remain poorly defined. Metals have catalytic and structural functions in proteins. However, additional functions have evolved. Proteins that control metal homeostasis and proteins that are metal-regulated bind metal ions transiently and are generally not accounted for in estimates from bioinformatics. Thus, metalloproteomes are dynamic and likely to be larger than present estimates suggest. This account discusses the assignment of transition metals in metalloproteins and the ensuing issues facing analytical chemists and structural and computational biologists. Biological and chemical selectivities render metal selection by metalloproteins either more stringent or less stringent depending on the metal homeostatic system of the organism, the subcellular location of the protein, and environmental factors. Failure to recognize the principles of metal utilization has led to assigning the wrong metal in metalloproteins and has missed some of the regulatory functions of transition metal ions.     

Combined quantum and molecular mechanics calculations on metalloproteins

The combination of quantum mechanics and molecular mechanics (QM/MM) methods is one of the most promising approaches to study the structure, function and properties of proteins. The number of QM/MM applications on metalloproteins is steadily increasing, especially studies with density functional methods on redox-active metal centres. Recent developments include new parameterised methods to treat covalent bonds between the quantum and classical systems, methods to obtain free energy from QM/MM results, and the combination of quantum chemistry and protein crystallography.     

Recent developments in structural proteomics for protein structure determination

The major challenges in structural proteomics include identifying all the proteins on the genome-wide scale, determining their structure-function relationships, and outlining the precise three-dimensional structures of the proteins. Protein structures are typically determined by experimental approaches such as X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. However, the knowledge of three-dimensional space by these techniques is still limited. Thus, computational methods such as comparative and de novo approaches and molecular dynamic simulations are intensively used as alternative tools to predict the three-dimensional structures and dynamic behavior of proteins. This review summarizes recent developments in structural proteomics for protein structure determination; including instrumental methods such as X-ray crystallography and NMR spectroscopy, and computational methods such as comparative and de novo structure prediction and molecular dynamics simulations.     

Engineering and design in the bioelectrochemistry of metalloproteins

Engineered metalloproteins offer interesting systems for electrochemical studies of protein structure/function and their applications in nanobiotechnology. Scanning probe microscopy and cyclic voltammetry of engineered metalloproteins and electrodes have proved to be a powerful combination of tools contributing to the field of bioelectrochemistry. The ability to engineer tags, such as histidine tags and biotin-acceptor peptides, and to site-specifically introduce cysteine residues enabled the creation of ordered immobilised protein structures that can be characterised both electrochemically and topographically. Gene fusion and de novo combinatorial synthesis of metalloproteins are emerging to provide structures with the desired electrochemical properties.     

Biological X-ray absorption spectroscopy (BioXAS): a valuable tool for the study of trace elements in the life sciences

Using X-ray absorption spectroscopy (XAS) the binding modes (type and number of ligands, distances and geometry) and oxidation states of metals and other trace elements in crystalline as well as non-crystalline samples can be revealed. The method may be applied to biological systems as a 'stand-alone' technique, but it is particularly powerful when used alongside other X-ray and spectroscopic techniques and computational approaches. In this review, we highlight how biological XAS is being used in concert with crystallography, spectroscopy and computational chemistry to study metalloproteins in crystals, and report recent applications on relatively rare trace elements utilised by living organisms and metals involved in neurodegenerative diseases.     

Functional role of metalloproteins in genome stability

Cells contain a large number of metalloproteins that commonly harbor at least one metal ion cofactor. In metalloproteins, metal ions are usually coordinated by oxygen, sulfur, or nitrogen centers belonging to amino acid residues in the protein. The presence of the metal ion in metalloproteins allows them to take part in diverse biological processes, such as genome stability, metabolic catalysis, and cell cycle progression. Clinically, alteration of the function of metalloproteins in mammals is genetically associated with diseases characterized by DNA damage and repair defects. The present review focuses on the current perspectives of metal ion homeostasis in different organisms and summarizes the most recent understanding on magnesium, copper, iron, and manganese-containing proteins and their functional involvement in the maintenance of genome stability.     

Complementary approaches to structure determination of icosahedral viruses

Few biological macromolecular complexes exhibit the combination of massive size and hierarchical, symmetrical architecture embodied in icosahedral viruses. X-ray crystallography, electron cryomicroscopy and small-angle X-ray scattering provide complementary approaches to studying these remarkable structures. Through a combined approach, progress has been made towards providing detailed structures of highly complex and very large viruses, and towards imaging the dynamic structural changes performed by viruses at key stages in their life cycles.     

Monitoring and validating active site redox states in protein crystals

High resolution protein crystallography using synchrotron radiation is one of the most powerful tools in modern biology. Improvements in resolution have arisen from the use of X-ray beamlines with higher brightness and flux and the development of advanced detectors. However, it is increasingly recognised that the benefits brought by these advances have an associated cost, namely deleterious effects of X-ray radiation on the sample (radiation damage). In particular, X-ray induced reduction and damage to redox centres has been shown to occur much more rapidly than other radiation damage effects, such as loss of resolution or damage to disulphide bridges. Selection of an appropriate combination of in-situ single crystal spectroscopies during crystallographic experiments, such as UV-visible absorption and X-ray absorption spectroscopy (XAFS), allows for effective monitoring of redox states in protein crystals in parallel with structure determination. Such approaches are also essential in cases where catalytic intermediate species are generated by exposure to the X-ray beam. In this article, we provide a number of examples in which multiple single crystal spectroscopies have been key to understanding the redox status of Fe and Cu centres in crystal structures. This article is part of a Special Issue entitled: Protein Structure and Function in the Crystalline State.     

Crystallography for protein kinase drug design: PKA and SRC case studies

Protein crystallography can be used throughout the drug discovery process to obtain diverse information critical for structure based drug design. At a minimum, a single target structure may be available. Optimally, and especially for protein kinases, a broad range of crystal structures should be obtained to characterize target flexibility, structure modulation via co-factor binding or posttranslational modification, ligand induced conformational changes, and off-target complex structures for selectivity optimization. The flexibility of the protein kinases is in contrast to the need for "crystallizable" constructs, that is, proteins that crystallize under varying conditions and in varying crystal packing arrangements. Strategies to produce crystallizable protein kinase constructs include truncation to the catalytic domain, co-crystallization with rigidifying ligands, crystallization of known rigid forms, and point mutation to improve homogeneity or mimic less crystallizable proteins. PKA, the prototypical serine/threonine protein kinase, and SRC, a tyrosine kinase and the first identified oncoprotein, provide multiple examples of these various approaches to protein kinase crystallography for drug design.     

Isothermal folding of G-quadruplexes

Thermodynamic studies of G-quadruplex stability are an essential complement to structures obtained by NMR or X-ray crystallography. An understanding of the energetics of quadruplex folding provides a necessary foundation for the physical interpretation of quadruplex formation and reactivity. While thermal denaturation methods are most commonly used to evaluate quadruplex stability, it is also possible to study folding using isothermal titration methods. G-quadruplex folding is tightly coupled to specific cation binding. We describe here protocols for monitoring the cation-driven quadruplex folding transition using circular dichroism or absorbance, and for determination of the distribution of free and bound cation using a fluorescence indicator. Together these approaches provide insight into quadruplex folding at constant temperature, and characterize the linkage between cation binding and folding.     

Trapping intermediates in the crystal: ligand binding to myoglobin

Crystal structures of the reactive short-lived species that occur in chemical or binding reactions can be determined using X-ray crystallography via time-resolved or kinetic trapping approaches. Recently, various kinetic trapping methods have been used to determine the structure of intermediates in ligand binding to myoglobin.     

Artificial di-iron proteins: solution characterization of four helix bundles containing two distinct types of inter-helical loops

Peptide-based models have an enormous impact for the development of metalloprotein models, as they seem appropriate candidates to mimic both the structural characteristics and reactivity of the natural systems. Through the de novo design of four-helix bundles, we developed the DF (Due Ferri) family of artificial proteins, as models of di-iron and di-manganese metalloproteins. The goal of our research is to elucidate how the electrostatic environment, polarity and solvent accessibility of the metal-binding site, influence the functional properties of di-iron proteins. The first two subsets of the DF protein family, DF1 and DF2, consist of two non-covalently associated helix-loop-helix motifs, which bind the di-metal cofactor near the center of the structure. The DF2 subset was designed to improve the properties of DF1: DF2 and DF2t have several changes in their sequences to improve solubility and metal ion access, as well as a change in the loop connecting the two helices. In order to evaluate how these changes affect the overall structure of the model proteins, we solved the NMR structures of the di-Zn(II) complexes of DF2 and DF2t, and compared these structures with those recently obtained from X-ray crystallography. Further, we examined the thermodynamic consequences associated with the mutations, by measuring the stability of DF2t in the presence of different metal ions, and comparing the results with the data already obtained for DF2. Taken together, analysis of all the data showed the importance of the turn conformation in the design and stability of four-helix bundle.Electronic Supplementary Material Supplementary material is available for this article at     

High-resolution electron cryomicroscopy of macromolecular assemblies

Electron cryomicroscopy is a high-resolution imaging technique that is particularly appropriate for the structural determination of large macromolecular assemblies, which are difficult to study by X-ray crystallography or NMR spectroscopy. For some biological molecules that form two-dimensional crystals, the application of electron cryomicroscopy and image reconstruction can help elucidate structures at atomic resolution. In instances where crystals cannot be formed, atomic-resolution information can be obtained by combining high-resolution structures of individual components determined by X-ray crystallography or NMR with image-derived reconstructions at moderate resolution. This can provide unique and crucial information on the mechanisms of these complexes. Finally, image reconstructions can be used to augment X-ray studies by providing initial models that facilitate phasing of crystals of large macromolecular machines such as ribosomes and viruses.     

Metals in biology: defining metalloproteomes

The vital nature of metal uptake and balance in biology is evident in the highly evolved strategies to facilitate metal homeostasis in all three domains of life. Several decades of study on metals and metalloproteins have revealed numerous essential bio-metal functions. Recent advances in mass spectrometry, X-ray scattering/absorption, and proteomics have exposed a much broader usage of metals in biology than expected. Even elements such as uranium, arsenic, and lead are implicated in biological processes as part of an emerging and expansive view of bio-metals. Here we discuss opportunities and challenges for established and newer approaches to study metalloproteins with a focus on technologies that promise to rapidly expand our knowledge of metalloproteins and metal functions in biology.     

Validation of macromolecular flexibility in solution by small-angle X-ray scattering (SAXS)

The dynamics of macromolecular conformations are critical to the action of cellular networks. Solution X-ray scattering studies, in combination with macromolecular X-ray crystallography (MX) and nuclear magnetic resonance (NMR), strive to determine complete and accurate states of macromolecules, providing novel insights describing allosteric mechanisms, supramolecular complexes, and dynamic molecular machines. This review addresses theoretical and practical concepts, concerns, and considerations for using these techniques in conjunction with computational methods to productively combine solution-scattering data with high-resolution structures. I discuss the principal means of direct identification of macromolecular flexibility from SAXS data followed by critical concerns about the methods used to calculate theoretical SAXS profiles from high-resolution structures. The SAXS profile is a direct interrogation of the thermodynamic ensemble and techniques such as, for example, minimal ensemble search (MES), enhance interpretation of SAXS experiments by describing the SAXS profiles as population-weighted thermodynamic ensembles. I discuss recent developments in computational techniques used for conformational sampling, and how these techniques provide a basis for assessing the level of the flexibility within a sample. Although these approaches sacrifice atomic detail, the knowledge gained from ensemble analysis is often appropriate for developing hypotheses and guiding biochemical experiments. Examples of the use of SAXS and combined approaches with X-ray crystallography, NMR, and computational methods to characterize dynamic assemblies are presented.     

When X-rays modify the protein structure: radiation damage at work

The majority of 3D structures of macromolecules are currently determined by macromolecular crystallography, which employs the diffraction of X-rays on single crystals. However, during diffraction experiments, the X-rays can damage the protein crystals by ionization processes, especially when powerful X-ray sources at synchrotron facilities are used. This process of radiation damage generates photo-electrons that can get trapped in protein moieties. The 3D structure derived from such experiments can differ remarkably from the structure of the native molecule. Recently, the crystal structures of different oxidation states of horseradish peroxidase and nickel-containing superoxide dismutase were determined using crystallographic redox titration performed during the exposure of the crystals to the incident X-ray beam. Previous crystallographic analyses have not shown the distinct structures of the active sites associated with the redox state of the structural features of these enzymes. These new studies show that, for protein moieties that are susceptible to radiation damage and prone to reduction by photo-electrons, care is required in both the design of the diffraction experiment and the analysis and interpretation.     

Structural Analysis of Metal Sites in Proteins: Non-heme Iron Sites as a Case Study

In metalloproteins, the protein environment modulates metal properties to achieve the required goal, which can be protein stabilization or function. The analysis of metal sites at the atomic level of detail provided by protein structures can thus be of benefit in functional and evolutionary studies of proteins. In this work, we propose a structural bioinformatics approach to the study of metalloproteins based on structural templates of metal sites that include the PDB coordinates of protein residues forming the first and the second coordination sphere of the metal. We have applied this approach to non-heme iron sites, which have been analyzed at various levels. Templates of sites located in different protein domains have been compared, showing that similar sites can be found in unrelated proteins as the result of convergent evolution. Templates of sites located in proteins of a large superfamily have been compared, showing possible mechanisms of divergent evolution of proteins to achieve different functions. Furthermore, template comparisons have been used to predict the function of uncharacterized proteins, showing that similarity searches focused on metal sites can be advantageously combined with typical whole-domain comparisons. Structural templates of metal sites, finally, may constitute the basis for a systematic classification of metalloproteins in databases.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.     

Structural proteomics in drug discovery

High-throughput, automated or semiautomated methodologies implemented by companies and structural genomics initiatives have accelerated the process of acquiring structural information for proteins via x-ray crystallography. This has enabled the application of structure-based drug design technologies to a variety of new structures that have potential pharmacologic relevance. Although there remain major challenges to applying these approaches more broadly to all classes of drug discovery targets, clearly the continued development and implementation of these structure-based drug design methodologies by the scientific community at large will help to address and provide solutions to these hurdles. The result will be a growing number of protein structures of important pharmacologic targets that will help to streamline the process of identification and optimization of lead compounds for drug development. These lead agonist and antagonist pharmacophores should, in turn, help to alleviate one of the current critical bottlenecks in the drug discovery process; that is, defining the functional relevance of potential novel targets to disease modification. The prospect of generating an increasing number of potential drug candidates will serve to highlight perhaps the most significant future bottleneck for drug development, the cost and complexity of the drug approval process.