Impact of sialic acids on the molecular dynamic of bi-antennary and tri-antennary glycans (original) (raw)
Abstract
Sialic acids (SA) are monosaccharides that can be located at the terminal position of glycan chains on a wide range of proteins. The post-translational modifications, such as N-glycan chains, are fundamental to protein functions. Indeed, the hydrolysis of SA by specific enzymes such as neuraminidases can lead to drastic modifications of protein behavior. However, the relationship between desialylation of N-glycan chains and possible alterations of receptor function remains unexplored. Thus, the aim of the present study is to establish the impact of SA removal from N-glycan chains on their conformational behavior. We therefore undertook an in silico investigation using molecular dynamics to predict the structure of an isolated glycan chain. We performed, for the first time, 3 independent 500 ns simulations on bi-antennary and tri-antennary glycan chains displaying or lacking SA. We show that desialylation alters both the preferential conformation and the flexibility of the glycan chain. This study suggests that the behavior of glycan chains induced by presence or absence of SA may explain the changes in the protein function. Sialic acids (SA) are electronegatively charged monosaccharides in higher animals and some microorganisms. They contribute to the wide structural diversity of complex carbohydrates, which are major constituents of most proteins and lipids of cell membranes and secreted macromolecules 1. SA are prominently positioned, usually at the outer end of these molecules. The diversity of glycan chains is even more increased by the biosynthesis of various kinds of SA. In human, the number of SA types is limited, with N-acetylneuraminic acid (Neu5Ac) prevailing and followed by derivatives which are O-acetylated and O-lactylated at the SA side chain 2. The external position of SA on glycoproteins, either alone or in oligo-or polymeric form, implies a strong influence in cell biology. Indeed, these acidic monosaccharides may easily interact with components at other cell surfaces, extracellular substances and effector molecules. Evidence is increasing that they are involved in a multiplicity of cell signalling events. For instance, we have shown previously that the desialylation of the insulin receptor by the neuraminidase-1 sialidase induces the dysregulation of cell glucose uptake and develops insulin resistance 3,4. Moreover, the desialylation of receptors such as PDGF-R or IGF-R alters cell proliferation 5. In the literature, several authors suppose that SA function is either to mask recognition sites 6 , or, contrarily, to act as a biological target that allows recognition by a receptor protein 7,8. However, the molecular process which leads to receptor alteration after the removal of SA is still unknown. The multiple combinations of glycan chain and the technical limitation of in vitro approaches are a crucial bottleneck to the understanding of SA function. This is even more complicated by the fact that the environment of these monosaccharides and the nature of the molecule to which they are bound may influence their biological effects. The aim of the present study is to characterize by molecular dynamics the behaviour of a single N-glycan chain detached from its protein, associated or not with SA. To our knowledge, this strategy has never been used and allows us to predict the stereotypic behaviour modifications
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References (40)
- Schauer, R. Sialic acids as regulators of molecular and cellular interactions. Current Opinion in Structural Biology 19, 507-514 (2009).
- Varki, A. & Schauer, R. In Essentials of Glycobiology (eds Varki, A. et al.) Ch. 14, (Cold Spring Harbor Laboratory Press, 2009).
- Blaise, S. et al. Elastin-Derived Peptides Are New Regulators of Insulin Resistance Development in Mice. Diabetes 62, 3807-3816 (2013).
- Hayes, G. R. & Lockwood, D. H. The role of cell surface sialic acid in insulin receptor function and insulin action. J. Biol. Chem. 261, 2791-2798 (1986).
- Hinek, A., Bodnaruk, T. D., Bunda, S., Wang, Y. & Liu, K. Neuraminidase-1, a subunit of the cell surface elastin receptor, desialylates and functionally inactivates adjacent receptors interacting with the mitogenic growth factors PDGF-BB and IGF-2. Am. J. Pathol. 173, 1042-1056 (2008).
- Croci, D. O. et al. Glycosylation-dependent lectin-receptor interactions preserve angiogenesis in anti-VEGF refractory tumors. Cell 156, 744-758 (2014).
- Varki, A. Glycan-based interactions involving vertebrate sialic-acid-recognizing proteins. Nature 446, 1023-1029 (2007).
- Cheng, B., Xie, R., Dong, L. & Chen, X. Metabolic Remodeling of Cell-Surface Sialic Acids: Principles, Applications, and Recent Advances. ChemBioChem 17, 11-27 (2016).
- Weimar, T. & Woods, R. J. In NMR Spectroscopy of Glycoconjugates (eds Jiménez-Barbero, J. & Peters, T.) 109-144 (Wiley-VCH Verlag GmbH & Co. KGaA, 2002).
- Woods, R. J. In Reviews in Computational Chemistry (eds Lipkowitz, K. B. & Boyd, D. B.) 129-165 (John Wiley & Sons, Inc., 1996).
- Brady, J. W. Molecular dynamics simulations of carbohydrate molecules. Adv. Biophys. Chem. 1, 155-202 (1990).
- Mazurier, J., Dauchez, M., Vergoten, G., Montreuil, J. & Spik, G. Molecular modeling of a disialylated monofucosylated biantennary glycan of the N-acetyllactosamine type. Glycoconj. J. 8, 390-399 (1991).
- Montreuil, J., Fournet, B., Spik, G. & Strecker, G. Spatial conformation of human serotransferrin glycans. C.R. Hebd. Seances Acad. Sci., Ser. D, Sci. Nat. 287, 837-840 (1978).
- Montreuil, J. Primary structure of glycoprotein glycans: basis for the molecular biology of glycoproteins. Adv Carbohydr Chem Biochem 37, 157-223 (1980).
- Dauchez, M., Mazurier, J., Montreuil, J., Spik, G. & Vergoten, G. Molecular dynamics simulations of a monofucosylated biantennary glycan of the N-acetyllactosamine type: the human lactotransferrin glycan. Biochimie 74, 63-74 (1992).
- Satoh, T., Yamaguchi, T. & Kato, K. Emerging structural insights into glycoprotein quality control coupled with N-glycan processing in the endoplasmic reticulum. Molecules 20, 2475-2491 (2015).
- Fukuda, M. N. & Akama, T. O. The role of N-glycans in spermatogenesis. Cytogenet. Genome Res. 103, 302-306 (2003).
- Sola, R. J. & Griebenow, K. Effects of Glycosylation on the Stability of Protein Pharmaceuticals. J Pharm Sci 98, 1223-1245 (2009).
- Shental-Bechor, D. & Levy, Y. Effect of glycosylation on protein folding: A close look at thermodynamic stabilization. PNAS 105, 8256-8261 (2008).
- Neu, U., Bauer, J. & Stehle, T. Viruses and sialic acids: rules of engagement. Curr. Opin. Struct. Biol. 21, 610-618 (2011).
- Amon, R., Reuven, E. M., Leviatan Ben-Arye, S. & Padler-Karavani, V. Glycans in immune recognition and response. Carbohydr. Res. 389, 115-122 (2014).
- Varki, A. & Gagneux, P. Multifarious roles of sialic acids in immunity. Ann. N. Y. Acad. Sci. 1253, 16-36 (2012).
- Mazurier, J., Dauchez, M., Vergoten, G., Montreuil, J. & Spik, G. Molecular modelling of glycans: three-dimensional structure and protein fraction interaction. The example of rabbit sero-transferrin. C. R. Acad. Sci. III, Sci. Vie 313, 7-14 (1991).
- Montreuil, J. Spatial conformation of glycans and glycoproteins. Biol. Cell 51, 115-131 (1984).
- Nishiyama, T. et al. N-Glycans protect proteins from protease digestion through their binding affinities for aromatic amino acid residues. J. Biochem. 127, 427-433 (2000).
- Verbert, A. Methods On Glycoconjugates. (CRC Press, 1995).
- Takegawa, Y., Deguchi, K., Nakagawa, H. & Nishimura, S.-I. Structural analysis of an N-glycan with 'beta1-4 bisecting branch' from human serum IgG by negative-ion MSn spectral matching and exoglycosidase digestion. Anal. Chem. 77, 6062-6068 (2005).
- Harvey, D. J. et al. Differentiation between isomeric triantennary N-linked glycans by negative ion tandem mass spectrometry and confirmation of glycans containing galactose attached to the bisecting (β 1-4-GlcNAc) residue in N-glycans from IgG. Rapid Commun. Mass Spectrom. 22, 1047-1052 (2008).
- Hutchens, T. W., Rumball, S. V. & Lönnerdal, B. Lactoferrin Structure and Function 357 (Springer US, 1994).
- Arabkhari, M. et al. Desialylation of insulin receptors and IGF-1 receptors by neuraminidase-1 controls the net proliferative response of L6 myoblasts to insulin. Glycobiology 20, 603-616 (2010).
- Kony, D., Damm, W., Stoll, S. & Van Gunsteren, W. F. An improved OPLS-AA force field for carbohydrates. J Comput Chem 23, 1416-1429 (2002).
- Jorgensen, W. L. & Tirado-Rives, J. The OPLS (optimized potentials for liquid simulations) potential functions for proteins, energy minimizations for crystals of cyclic peptides and crambin. J. Am. Chem. Soc. 110, 1657-1666 (1988).
- Van Der Spoel, D. et al. GROMACS: fast, flexible, and free. J Comput Chem 26, 1701-1718 (2005).
- Mark, P. & Nilsson, L. Structure and Dynamics of the TIP3P, SPC, and SPC/E Water Models at 298 K. J. Phys. Chem. A 105, 9954-9960 (2001).
- Guillot, B. A reappraisal of what we have learnt during three decades of computer simulations on water. Journal of Molecular Liquids 101, 219-260 (2002).
- Gonzalez-Outeiriño, J., Kirschner, K. N., Thobhani, S. & Woods, R. J. Reconciling solvent effects on rotamer populations in carbohydrates A joint MD and NMR analysis. Can. J. Chem. 84, 569-579 (2006).
- Kirschner, K. N. & Woods, R. J. Solvent interactions determine carbohydrate conformation. Proc Natl Acad Sci USA 98, 10541-10545 (2001).
- Hess, B., Bekker, H., Berendsen, H. J. C. & Fraaije, J. G. E. M. LINCS: A linear constraint solver for molecular simulations. J. Comput. Chem. 18, 1463-1472 (1997).
- Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J Mol Graph 14, 33-38, 27-28 (1996).
- Stone, J. An Efficient Library for Parallel Ray Tracing and Animation (In Intel Supercomputer Users Group Proceedings, 1995).