Mass spectrometry-based structural proteomics

Structural proteomics is the application of protein chemistry and modern mass spectrometric techniques to problems such as the characterization of protein structures and assemblies and the detailed determination of protein-protein interactions. The techniques used in structural proteomics include crosslinking, photoaffinity labeling, limited proteolysis, chemical protein modification and hydrogen/deuterium exchange, all followed by mass spectrometric analysis. None of these methods alone can provide complete structural information, but a "combination" of these complementary approaches can be used to provide enough information for answering important biological questions. Structural proteomics can help to determine, for example, the detailed structure of the interfaces between proteins that may be important drug targets and the interactions between proteins and ligands. In this review, we have tried to provide a brief overview of structural proteomics methodologies, illustrated with examples from our laboratory and from the literature.     

Visualizing Chiral Interactions in Carbohydrates Adsorbed on Au(111) by High-Resolution STM Imaging

Carbohydrates are the most abundant organic material on Earth and the structural “material of choice” in many living systems. Nevertheless, design and engineering of synthetic carbohydrate materials presently lag behind that for protein and nucleic acids. Bottom-up engineering of carbohydrate materials demands an atomic-level understanding of their molecular structures and interactions in condensed phases. Here, high-resolution scanning tunneling microscopy (STM) is used to visualize at submolecular resolution the three-dimensional structure of cellulose oligomers assembled on Au(1111) and the interactions that drive their assembly. The STM imaging, supported by ab initio calculations, reveals the orientation of all glycosidic bonds and pyranose rings in the oligomers, as well as details of intermolecular interactions between the oligomers. By comparing the assembly of D- and L-oligomers, these interactions are shown to be enantioselective, capable of driving spontaneous enantioseparation of cellulose chains from its unnatural enantiomer and promoting the formation of engineered carbohydrate assemblies in the condensed phases.     

Carbohydrate chips for studying high-throughput carbohydrate-protein interactions

Carbohydrate-protein interactions play important biological roles in living organisms. For the most part, biophysical and biochemical methods have been used for studying these biomolecular interactions. Less attention has been given to the development of high-throughput methods to elucidate recognition events between carbohydrates and proteins. In the current effort to develop a novel high-throughput tool for monitoring carbohydrate-protein interactions, we prepared carbohydrate microarrays by immobilizing maleimide-linked carbohydrates on thiol-derivatized glass slides and carried out lectin binding experiments by using these microarrays. The results showed that carbohydrates with different structural features selectively bound to the corresponding lectins with relative binding affinities that correlated with those obtained from solution-based assays. In addition, binding affinities of lectins to carbohydrates were also quantitatively analyzed by determining IC(50) values of soluble carbohydrates with the carbohydrate microarrays. To fabricate carbohydrate chips that contained more diverse carbohydrate probes, solution-phase parallel and enzymatic glycosylations were performed. Three model disaccharides were in parallel synthesized in solution-phase and used as carbohydrate probes for the fabrication of carbohydrate chips. Three enzymatic glycosylations on glass slides were consecutively performed to generate carbohydrate microarrays that contained the complex oligosaccharide, sialyl Le(x). Overall, these works demonstrated that carbohydrate chips could be efficiently prepared by covalent immobilization of maleimide-linked carbohydrates on the thiol-coated glass slides and applied for the high-throughput analyses of carbohydrate-protein interactions.     

Modeling the Dynamics of Protein–Protein Interfaces,How and Why?

Protein–protein assemblies act as a key component in numerous cellular processes. Their accurate modeling at the atomic level remains a challenge for structural biology. To address this challenge, several docking and a handful of deep learning methodologies focus on modeling protein–protein interfaces. Although the outcome of these methods has been assessed using static reference structures, more and more data point to the fact that the interaction stability and specificity is encoded in the dynamics of these interfaces. Therefore, this dynamics information must be taken into account when modeling and assessing protein interactions at the atomistic scale. Expanding on this, our review initially focuses on the recent computational strategies aiming at investigating protein–protein interfaces in a dynamic fashion using enhanced sampling, multi-scale modeling, and experimental data integration. Then, we discuss how interface dynamics report on the function of protein assemblies in globular complexes, in fuzzy complexes containing intrinsically disordered proteins, as well as in active complexes, where chemical reactions take place across the protein–protein interface.     

Carbohydrate–protein interactions and their biosensing applications

Carbohydrate recognition is clearly present throughout nature, playing a major role in the initial attachment of one biological entity to another. The important question is whether these prevalent interactions could provide a real suitable alternative to the use of antibodies or nucleic acid for detection and identification. Currently, examples of carbohydrates being employed in biological detection systems are limited. The challenges of using carbohydrate recognition for detection mainly come from the weak affinity of carbohydrate–protein interactions, the lack of versatile carbohydrate scaffolds with well-defined structures, and the less developed high-information-content, real-time, and label-free assay technology. In this review, we focus on discussing the characteristics of carbohydrate–protein interactions in nature and the methods for carbohydrate immobilization based on surface coupling chemistry in terms of their general applicability for developing carbohydrate- and lectin-based label-free sensors. Furthermore, examples of innovative design of multivalent carbohydrate–protein interactions for sensor applications are given. We limit our review to show the feasibility of carbohydrate and lectin as recognition elements for label-free sensor development in several representative cases to formulate a flexible platform for their use as recognition elements for real-world biosensor applications.     

Natural Products as Probes of Cellular Function: Studies of Immunophilins

One of the great mysteries of cell biology remains the mechanism of information transfer, or signaling, through the cytoplasm of the cell. Natural products that inhibit this process offer a unique window into fundamental aspects of cytoplasmic signal transduction, the means by which extracellular molecules influence intracellular events. Thus, natural products chemistry, including organic synthesis, conformational analysis, and methods of structure elucidation, is a powerful tool in the study of cell function. This article traces our understanding of a group of natural products from the finding that they inhibit cytoplasmic signaling to their current recognition as mediators of the interaction between widely distributed protein targets. The emphasis of the discussion is primarily structural. The interactions between the natural-product ligands and their protein receptors are analyzed at a molecular level in order to shed light on the molecular mechanisms of the biological functions of these compounds. In the process we hope to illustrate the power of chemical analysis as applied to biological systems. Through chemistry we can understand the molecular basis of biological phenomena.     

Oligosaccharide and glycoprotein microarrays as tools in HIV glycobiology; glycan-dependent gp120/protein interactions.

Defining HIV envelope glycoprotein interactions with host factors or binding partners advances our understanding of the infectious process and provides a basis for the design of vaccines and agents that interfere with HIV entry. Here we employ carbohydrate and glycoprotein microarrays to analyze glycan-dependent gp120-protein interactions. In concert with new linking chemistries and synthetic methods, the carbohydrate arrays combine the advantages of microarray technology with the flexibility and precision afforded by organic synthesis. With these microarrays, we individually and competitively determined the binding profiles of five gp120 binding proteins, established the carbohydrate structural requirements for these interactions, and identified a potential strategy for HIV vaccine development.     

Functionalized self-assembled monolayers for measuring single molecule lectin carbohydrate interactions

The specific interactions between sugar-binding proteins (lectins) and their complementary carbohydrates mediate several complex biological functions. There is a great deal of interest in uncovering the molecular basis of these interactions. In this study, we demonstrate the use of an efficient one-step amination reaction strategy to fabricate carbohydrate arrays based on mixed self-assembled monolayers. These allow specific lectin carbohydrate interactions to be interrogated at the single molecule level via AFM. The force required to directly rupture the multivalent bonds between Concanavalin A (Con A) and mannose were subsequently determined by chemical force microscopy. The mixed self-assembled monolayer provides a versatile platform with active groups to attach a 1-amino-1-deoxy sugar or a protein (Con A) while minimizing non-specific adhesion enabling quick and reliable detection of rupture forces. By altering the pH of the environment, the aggregation state of Con A was regulated, resulting in different dominant rupture forces, corresponding to di-, tri- and multiple unbinding events. We estimate the value of the rupture force for a single Con A-mannose bond to be 95 ± 10 pN. The rupture force is consistent even when the positions of the binding molecules are switched. We show that this synthesis strategy in conjunction with a mixed SAM allows determination of single molecules bond with high specificity, and may be used to investigate lectin carbohydrate interactions in the form of carbohydrate arrays as well as lectin arrays.     

Recent advances in the preparation of glycopolymer bioconjugates

The significant progress made in understanding the role of carbohydrates and carbohydrates based therapeutics at molecular level has highlighted the importance of carbohydrate bioconjugates in the field of biology, chemistry and therapeutics. The glycosylation of biomolecules is a nature-inspired approach, to impart structural and functional properties to the biomolecules. The availability of facile techniques to synthesize well-defined glycopolymers of varying molecular weights, compositions and shape and their facile conjugation with biomolecules of interest have helped researchers in understanding many aspects of their biological functions at the molecular level. This review focuses on the development of glycopolymer-bioconjugates and provides a comprehensive overview of the present bioconjugation tools for their synthesis. The glycosylation of biomolecules is achieved by either pre or post-polymerization modification approaches. The review highlights the potential of living radical polymerization for the facile synthesis of glycopolymer bioconjugates using both pre and post-polymerization bioconjugation approaches, and without disrupting the native structure and functions of the biological molecules. Non-covalent carbohydrate–carbohydrate and carbohydrate–protein interactions play a significant role in many biological and pathological events. The non-covalent interactions of synthetic glycopolymers with biomolecules are also discussed in this review.     

Carbohydrate arrays for functional studies of carbohydrates

Carbohydrates, as components of glycoproteins, glycolipids and proteoglycans, play an important biological role as recognition markers through carbohydrate-protein interactions. For the most part, biophysical and biochemical methods have been used to analyze these biomolecular interactions. In contrast, less attention has been given to the development of high-throughput procedures to elucidate carbohydrate-protein recognition events. Recently, carbohydrate arrays were developed and employed as a novel high-throughput analytic tool for monitoring carbohydrate-protein interactions. This technique has been used to profile protein binding and enzymatic activity. The results have shown that carbohydrate binding to the corresponding lectins is highly selective and that the relative binding affinities are well correlated with those obtained from solution-based assays. In addition, this effort demonstrated that carbohydrate arrays could be also utilized to identify and characterize novel carbohydrate-binding proteins or carbohydrate-processing enzymes. Finally, the results of this investigation showed that lectin-carbohydrate binding affinities could be quantitatively assessed by determining IC50 values for soluble carbohydrates with the carbohydrate arrays. The results of these studies suggest that carbohydrate arrays have the potential of playing an important role in basic researches, the diagnoses of diseases and drug discovery.     

Synthesis of Glycodendrimers with Antiviral and Antibacterial Activity

Glycodendrimers are an important class of synthetic macromolecules that can be used to mimic many structural and functional features of cell-surface glycoconjugates. Their carbohydrate moieties perform key important functions in bacterial and viral infections, often regulated by carbohydrate–protein interactions. Several studies have shown that the molecular structure, valency and spatial organisation of carbohydrate epitopes in glycoconjugates are key factors in the specificity and avidity of carbohydrate–protein interactions. Choosing the right glycodendrimers almost always helps to interfere with such interactions and blocks bacterial or viral adhesion and entry into host cells as an effective strategy to inhibit bacterial or viral infections. Herein, the state of the art in the design and synthesis of glycodendrimers employed for the development of anti-adhesion therapy against bacterial and viral infections is described.     

An integrated computational analysis of the structure, dynamics, and ligand binding interactions of the human galectin network

Galectins, a family of evolutionarily conserved animal lectins, have been shown to modulate signaling processes leading to inflammation, apoptosis, immunoregulation, and angiogenesis through their ability to interact with poly-N-acetyllactosamine-enriched glycoconjugates. To date 16 human galectin carbohydrate recognition domains have been established by sequence analysis and found to be expressed in several tissues. Given the divergent functions of these lectins, it is of vital importance to understand common and differential features in order to search for specific inhibitors of individual members of the human galectin family. In this work we performed an integrated computational analysis of all individual members of the human galectin family. In the first place, we have built homology-based models for galectin-4 and -12 N-terminus, placental protein 13 (PP13) and PP13-like protein for which no experimental structural information is available. We have then performed classical molecular dynamics simulations of the whole 15 members family in free and ligand-bound states to analyze protein and protein-ligand interaction dynamics. Our results show that all galectins adopt the same fold, and the carbohydrate recognition domains are very similar with structural differences located in specific loops. These differences are reflected in the dynamics characteristics, where mobility differences translate into entropy values which significantly influence their ligand affinity. Thus, ligand selectivity appears to be modulated by subtle differences in the monosaccharide binding sites. Taken together, our results may contribute to the understanding, at a molecular level, of the structural and dynamical determinants that distinguish individual human galectins.     

Peptide–Column Interactions and Their Influence on Back Exchange Rates in Hydrogen/Deuterium Exchange-MS

Hydrogen/deuterium exchange (HDX) methods generate useful information on protein structure and dynamics, ideally at the individual residue level. Most MS-based HDX methods involve a rapid proteolytic digestion followed by LC/MS analysis, with exchange kinetics monitored at the peptide level. Localizing specific sites of HDX is usually restricted to a resolution the size of the host peptide because gas-phase processes can scramble deuterium throughout the peptide. Subtractive methods may improve resolution, where deuterium levels of overlapping and nested peptides are used in a subtractive manner to localize exchange to smaller segments. In this study, we explore the underlying assumption of the subtractive method, namely, that the measured back exchange kinetics of a given residue is independent of its host peptide. Using a series of deuterated peptides, we show that secondary structure can be partially retained under quenched conditions, and that interactions between peptides and reversed-phase LC columns may both accelerate and decelerate residue HDX, depending upon peptide sequence and length. Secondary structure is induced through column interactions in peptides with a solution-phase propensity for structure, which has the effect of slowing HDX rates relative to predicted random coil values. Conversely, column interactions can orient random-coil peptide conformers to accelerate HDX, the degree to which correlates with peptide charge in solution, and which can be reversed by using stronger ion pairing reagents. The dependency of these effects on sequence and length suggest that subtractive methods for improving structural resolution in HDX-MS will not offer a straightforward solution for increasing exchange site resolution.

From structure to function: methods and applications

The rapid increase in experimental data along with recent progress in computational methods has brought modern biology a step closer toward solving one of the most challenging problems: prediction of protein function. Comprehension of protein function at its most basic level requires understanding of molecular interactions. Currently, it is becoming universally accepted that the scale of the accumulated data for analysis and for prediction necessitate highly efficient computational tools with appropriate application capabilities. The review presents the up-to-date advances in computational methods for structural pattern discovery and for prediction of molecular associations. We focus on their applications toward a range of biological problems and highlight the advantages of the combination of these methods and their integration with biological experiments. We provide examples, synergistically merging structural modeling, rigid and flexible structural alignment and detection of conserved structural patterns and docking (rigid and flexible with hinge-bending movements). We hope the review will lead to a broader utilization of computational methods, and their cross-fertilization with experiment.     

Characterization of glyco isoforms in plasma-derived human antithrombin by on-line capillary zone electrophoresis-electrospray ionization-quadrupole ion trap-mass spectrometry of the intact glycoproteins

The carbohydrate structures of five isoforms of alpha-AT and two isoforms of beta-AT were determined by applying capillary zone electrophoresis (CZE) on-line coupled to electrospray ionization-mass spectrometry (ESI-MS) using an ion-trap analyzer. For the AT preparations gained from a plasma pool at least semiquantitative information on the isoform-distributions could be gained. Unlike to the commonly used approaches starting from enzymatically treated glycoproteins, this approach deals with intact proteins. The high accuracy of the molecular mass determination obtained by the ion-trap analyzer allows one to calculate and ascertain the carbohydrate composition assuming no variations in the protein moiety of AT and to exclude or confirm the presence of the potential post-translational or other modifications. Therefore, the direct coupling of CZE with ESI-MS does not only represent a fast alternative technique to two-dimensional electrophoresis (2-DE) but serves as a method which provides structural information complementary to that gained from peptide mapping methods.     

氢氘交换质谱技术在蛋白质和蛋白复合物结构研究中的应用进展

蛋白质是生命功能的执行者,其功能的发挥受自身结构动态变化、与其他生物分子的相互作用及修饰等因素的调节。因此,对蛋白质及蛋白复合物结构的研究有助于揭示重要生命过程中的分子机理与机制。氢氘交换质谱(Hydrogen deuterium exchange mass spectrometry,HDX-MS)是研究蛋白质结构、动态变化和相互作用的强有力工具,也是传统生物物理手段的重要补充。该文综述了HDX-MS的基本原理、机制、实验方法和研究最新进展,并从蛋白质自身动态变化、蛋白质-小分子相互作用、蛋白质-蛋白质相互作用3个方面介绍了近年来HDX-MS在蛋白及蛋白复合物研究中的应用进展。     

Analysis of NMR J couplings in partially protected galactopyranosides

[carbohydrate structure: see text] Hydrogen bond mediated NMR J couplings offer additional structural information. The interpretation of these usually small (h)J couplings are, however, not necessarily straightforward. In the present case of a carbohydrate system, a four-bond classical W coupling, (4)J(HO4,H5), is more reasonable on the basis of, in particular, density functional theory calculations of spin-spin coupling constants at the UB3LYP/6-311G** level of theory.     

Interaction of alpha-synuclein with divalent metal ions reveals key differences: a link between structure, binding specificity and fibrillation enhancement

The aggregation of alpha-synuclein (AS) is characteristic of Parkinson's disease and other neurodegenerative synucleinopathies. Interactions with metal ions affect dramatically the kinetics of fibrillation of AS in vitro and are proposed to play a potential role in vivo. We recently showed that Cu(II) binds at the N-terminus of AS with high affinity (K(d) approximately 0.1 microM) and accelerates its fibrillation. In this work we investigated the binding features of the divalent metal ions Fe(II), Mn(II), Co(II), and Ni(II), and their effects on AS aggregation. By exploiting the different paramagnetic properties of these metal ions, NMR spectroscopy provides detailed information about the protein-metal interactions at the atomic level. The divalent metal ions bind preferentially and with low affinity (millimolar) to the C-terminus of AS, the primary binding site being the (119)DPDNEA(124) motif, in which Asp121 acts as the main anchoring residue. Combined with backbone residual dipolar coupling measurements, these results suggest that metal binding is not driven exclusively by electrostatic interactions but is mostly determined by the residual structure of the C-terminus of AS. A comparative analysis with Cu(II) revealed a hierarchal effect of AS-metal(II) interactions on AS aggregation kinetics, dictated by structural factors corresponding to different protein domains. These findings reveal a strong link between the specificity of AS-metal(II) interactions and the enhancement of aggregation of AS in vitro. The elucidation of the structural basis of AS metal binding specificity is then required to elucidate the mechanism and clarify the role of metal-protein interactions in the etiology of Parkinson's disease.