GAG-protein Complexes Research Articles

Thermodynamic Affinity and Nature of Forces Defining Glycosaminoglycan-Protein Systems Using Fluorescence Spectroscopy.

Among the biophysical techniques used to study glycosaminoglycan (GAG)-protein interactions, fluorescence spectroscopy is a quantitative tool that has been extensively used to provide structural and dynamical information. Its advantages include high sensitivity, relative ease of applicability, and wide range of available fluorescence labels and probes. A large majority of protein-GAG systems have been studied using either intrinsic (e.g., Trp) or extrinsic (e.g., a noncovalent fluorophore) probes. It forms the basis for measurement of dissociation constant and stoichiometry of GAG-protein complexes. We describe step-by-step procedures to measure the affinity of GAG-protein complexes, parse the ionic and non-ionic components of the free energy of binding, and identify the site of GAG binding through competitive binding experiments.

GAG-DB, the New Interface of the Three-Dimensional Landscape of Glycosaminoglycans.

Glycosaminoglycans (GAGs) are complex linear polysaccharides. GAG-DB is a curated database that classifies the three-dimensional features of the six mammalian GAGs (chondroitin sulfate, dermatan sulfate, heparin, heparan sulfate, hyaluronan, and keratan sulfate) and their oligosaccharides complexed with proteins. The entries are structures of GAG and GAG-protein complexes determined by X-ray single-crystal diffraction methods, X-ray fiber diffractometry, solution NMR spectroscopy, and scattering data often associated with molecular modeling. We designed the database architecture and the navigation tools to query the database with the Protein Data Bank (PDB), UniProtKB, and GlyTouCan (universal glycan repository) identifiers. Special attention was devoted to the description of the bound glycan ligands using simple graphical representation and numerical format for cross-referencing to other databases in glycoscience and functional data. GAG-DB provides detailed information on GAGs, their bound protein ligands, and features their interactions using several open access applications. Binding covers interactions between monosaccharides and protein monosaccharide units and the evaluation of quaternary structure. GAG-DB is freely available.

GlycoTorch Vina: Docking Designed and Tested for Glycosaminoglycans.

Glycosaminoglycans (GAGs) are a family of anionic carbohydrates that play an essential role in the physiology and pathology of all eukaryotic life forms. Experimental determination of GAG-protein complexes is challenging due to their difficult isolation from biological sources, natural heterogeneity, and conformational flexibility-including possible ring puckering of sulfated iduronic acid from 1C4 to 2SO conformation. To overcome these challenges, we present GlycoTorch Vina (GTV), a molecular docking tool based on the carbohydrate docking program VinaCarb (VC). Our program is unique in that it contains parameters to model 2SO sugars while also supporting glycosidic linkages specific to GAGs. We discuss how crystallographic models of carbohydrates can be biased by the choice of refinement software and structural dictionaries. To overcome these variations, we carefully curated 12 of the best available GAG and GAG-like crystal structures (ranging from tetra- to octasaccharides or longer) obtained from the PDB-REDO server and refined using the same protocol. Both GTV and VC produced pose predictions with a mean root-mean-square deviation (RMSD) of 3.1 Å from the native crystal structure-a statistically significant improvement when compared to AutoDock Vina (4.5 Å) and the commercial software Glide (5.9 Å). Examples of how real-space correlation coefficients can be used to better assess the accuracy of docking pose predictions are given. Comparisons between statistical distributions of empirical "salt bridge" interactions, relevant to GAGs, were compared to density functional theory (DFT) studies of model salt bridges, and water-mediated salt bridges; however, there was generally a poor agreement between these data. Water bridges appear to play an important, yet poorly understood, role in the structures of GAG-protein complexes. To aid in the rapid prototyping of future pose scoring functions, we include a module that allows users to include their own torsional and nonbonded parameters.

A pipeline to translate glycosaminoglycan sequences into 3D models. Application to the exploration of glycosaminoglycan conformational space.

Mammalian glycosaminoglycans are linear complex polysaccharides comprising heparan sulfate, heparin, dermatan sulfate, chondroitin sulfate, keratan sulfate and hyaluronic acid. They bind to numerous proteins and these interactions mediate their biological activities. GAG-protein interaction data reported in the literature are curated mostly in MatrixDB database (http://matrixdb.univ-lyon1.fr/). However, a standard nomenclature and a machine-readable format of GAGs together with bioinformatics tools for mining these interaction data are lacking. We report here the building of an automated pipeline to (i) standardize the format of GAG sequences interacting with proteins manually curated from the literature, (ii) translate them into the machine-readable GlycoCT format and into SNFG (Symbol Nomenclature For Glycan) images and (iii) convert their sequences into a format processed by a builder generating three-dimensional structures of polysaccharides based on a repertoire of conformations experimentally validated by data extracted from crystallized GAG-protein complexes. We have developed for this purpose a converter (the CT23D converter) to automatically translate the GlycoCT code of a GAG sequence into the input file required to construct a three-dimensional model.

Glycosaminoglycan-Protein Interactions by Nuclear Magnetic Resonance (NMR) Spectroscopy.

Nuclear magnetic resonance (NMR) spectroscopy is one of the most utilized and informative analytical techniques for investigating glycosaminoglycan (GAG)-protein complexes. NMR methods that are commonly applied to GAG-protein systems include chemical shift perturbation, saturation transfer difference, and transferred nuclear Overhauser effect. Although these NMR methods have revealed valuable insight into the protein-GAG complexes, elucidating high-resolution structural and dynamic information of these often transient interactions remains challenging. In addition, preparation of structurally homogeneous and isotopically enriched GAG ligands for structural investigations continues to be laborious. As a result, understanding of the structure-activity relationship of GAGs is still primitive. To overcome these deficiencies, several innovative NMR techniques have been developed lately. Here, we review some of the commonly used techniques along with more novel methods such as waterLOGSY and experiments to examine structure and dynamic of lysine and arginine side chains to identify GAG-binding sites. We will also present the latest technology that is used to produce isotopically enriched as well as paramagnetically tagged GAG ligands. Recent results that were obtained from solid-state NMR of amyloid’s interaction with GAG are also presented together with a brief discussion on computer assisted modeling of GAG-protein complexes using sparse experimental data.

Chip-based high resolution tandem mass spectrometric determination of fibroblast growth factor-chondroitin sulfate disaccharides noncovalent interaction.

Fibroblast growth factor-2 (FGF-2) is involved in wound healing and embryonic development. Glycosaminoglycans (GAGs), the major components of the extracellular matrix (ECM), play fundamental roles at this level. FGF-GAG noncovalent interactions are in the focus of research, due to their influence upon cell proliferation and tissue regeneration. Lately, high resolution mass spectrometry (MS) coupled with chip-nanoelectrospray (nanoESI) contributed a significant progress in glycosaminoglycomics by discoveries related to novel species and their characterization. We have employed a fully automated chip-nanoESI coupled to a quadrupole time-of-flight (QTOF) MS for assessing FGF-GAG noncovalent complexes. For the first time, a CS disaccharide was involved in a binding assay with FGF-2. The experiments were conducted in 10mM ammonium acetate/formic acid, pH6.8, by incubating FGF-2 and CS in buffer. The detected complexes were characterized by top-down in tandem MS (MS/MS) using collision induced-dissociation (CID). CID MS/MS provided data showing for the first time that the binding process occurs via the sulfate group located at C4 in GalNAc. This study has demonstrated that chip-MS may generate reliable data upon the formation of GAG-protein complexes and their structure. Biologically, the findings are relevant for studies focused on the identification of the active domains in longer GAG chains.

Glycosaminoglycan-protein interaction studies using fluorescence spectroscopy.

Fluorescence spectroscopy is a quantitative analytical tool that has been extensively used to provide structural and dynamical information on GAG-protein complexes. It possesses major advantages including high sensitivity, relative ease of applicability, and wide range of available fluorescence labels and probes. It has been applied to practically every protein-GAG system through the use of either intrinsic (e.g., Trp) or extrinsic (e.g., a non-covalent fluorophore) probe. For studies involving GAGs, it forms the basis for measurement of dissociation constant of complexes and the stoichiometry of binding, which helps elucidate many other thermodynamic and/or mechanistic parameters. We describe the step-by-step procedure to measure the affinity of GAG-protein complexes, parse the ionic and nonionic components of the free energy of binding, and identify the site of GAG binding through competitive binding experiments.

Docking glycosaminoglycans to proteins: analysis of solvent inclusion

Glycosaminoglycans (GAGs) are anionic polysaccharides, which participate in key processes in the extracellular matrix by interactions with protein targets. Due to their charged nature, accurate consideration of electrostatic and water-mediated interactions is indispensable for understanding GAGs binding properties. However, solvent is often overlooked in molecular recognition studies. Here we analyze the abundance of solvent in GAG-protein interfaces and investigate the challenges of adding explicit solvent in GAG-protein docking experiments. We observe PDB GAG-protein interfaces being significantly more hydrated than protein–protein interfaces. Furthermore, by applying molecular dynamics approaches we estimate that about half of GAG-protein interactions are water-mediated. With a dataset of eleven GAG-protein complexes we analyze how solvent inclusion affects Autodock 3, eHiTs, MOE and FlexX docking. We develop an approach to de novo place explicit solvent into the binding site prior to docking, which uses the GRID program to predict positions of waters and to locate possible areas of solvent displacement upon ligand binding. To investigate how solvent placement affects docking performance, we compare these results with those obtained by taking into account information about the solvent position in the crystal structure. In general, we observe that inclusion of solvent improves the results obtained with these methods. Our data show that Autodock 3 performs best, though it experiences difficulties to quantitatively reproduce experimental data on specificity of heparin/heparan sulfate disaccharides binding to IL-8. Our work highlights the current challenges of introducing solvent in protein-GAGs recognition studies, which is crucial for exploiting the full potential of these molecules for rational engineering.Electronic supplementary materialThe online version of this article (doi:10.1007/s10822-011-9433-1) contains supplementary material, which is available to authorized users.

Independent segregation of human immunodeficiency virus type 1 Gag protein complexes and lipid rafts.

Formation of human immunodeficiency virus type 1 (HIV-1) particles takes place at the plasma membrane of cells and is directed by the Pr55Gag polyprotein. A functional assembly domain (the M domain) within the N-terminal portion of Pr55Gag mediates the interaction of Gag with cellular membranes. However, the determinants that provide specificity for assembly on the plasma membrane, as opposed to intracellular membranes, have not been identified. Recently, it was reported that Pr55Gag interacts with lipid raft microdomains of the plasma membrane. We sought to identify the domains within Pr55Gag that contribute to lipid raft association of Gag. Here we demonstrate that the I domain is required for interaction with detergent-resistant membrane fractions (DRMs). Mutation of key I-domain residues or loss of myristylation abrogated the association of Gag with DRMs. Thus, the I domain and the M domain combine to mediate Gag-lipid raft interactions as defined by these biochemical criteria. However, Gag protein complexes defined by flotation studies were much denser than classical lipid rafts, failed to incorporate classical lipid raft marker proteins, and were not disrupted by cholesterol extraction. Large sheets of Gag protein were identified in DRM fractions upon examination by electron microscopy. These results indicate that HIV-1 Pr55Gag forms detergent-resistant complexes at the cellular periphery that are distinct from lipid raft microdomains.

PMECA: a cloning plasmid with 44 unique restriction sites that allows selection of recombinants based on colony size.

pMECA: a cloning plasmid with 44 unique restriction sites that allows selection of recombinants based on colony size.

Modifications of low density lipoprotein induced by the interaction with human plasma glycosaminoglycan-protein complexes

Glycosaminoglycan (GAG)-protein complexes from human plasma were separated into low charge (LC-GP) and high charge (HC-GP) components. LC-GP and HC-GP differed with respect to GAG and protein composition and to molecular size. The in vitro interaction of both GAG-protein complexes with human LDL was investigated. LC-GP did not precipitate LDL. On the contrary, HC-GP formed insoluble complexes with LDL, following a biphasic behaviour on increasing HC-GP concentration. In the presence of a HC-GP/LDL ratio higher than 0.02 the interaction stoichiometry was shifted towards the formation of soluble complexes. Papain treatment of HC-GP completely prevented LDL precipitation. Moreover, the extent of HC-GP-induced precipitation of LDL was markedly reduced by the simultaneous addition of LC-GP. Data obtained with standard GAGs showed that heparin (HE) and chondroitin-6-sulphate (C6S) were the most effective ligands in precipitating LDL. However, the shape of precipitation curves was markedly different. C6S behaved similarly to HC-GP, suggesting that GAG chains could play an important role in insoluble complex formation with LDL. Steady-state fluorescence anisotropy investigation indicated that HC-GP induced a significant decrease in the microviscosity of LDL hydrophobic region. This effect was no longer detectable after either addition of LC-GP or papain treatment of HC-GP. Differential scanning calorimetry (DSC) demonstrated that both lipid and protein components of LDL were affected by the interaction with HC-GP. The temperature of irreversible thermal unfolding of apo B100 was shifted to a lower value and a second peak appeared in the region of the reversible melting of cholesterol esters. Both the fluorescence anisotropy and the DSC data obtained with standard HE and C6S indicated that GAG chains were directly involved in affecting physico-chemical properties of complexed LDL. These results suggest that the interaction with plasma HC-GP could modify LDL structural properties. However, LC-GP is likely to act as a modulator, probably preventing the interaction between HC-GP and circulating LDL.