The broad objective of this project is the development and application of a combined nuclear magnetic resonance (NMR) - computational approach to the structural characterization of cell surface oligosaccharides. The oligosaccharides of membrane glycolipids and glycoproteins comprise a diverse set of structures that are hypothesized to play roles in membrane surface reception, differentiation, and functionalization. They serve as receptors for bacterial toxins, viral proteins, and naturally occurring hormones. They serve as markers for differentiating cells during normal and abnormal development. And, the charged, sialic acid containing, oligosaccharides seem to play a role in the modulation of Ca2+ levels near membrane surfaces. Along with a basic understanding of membrane surface properties, a knowledge of the three dimensional structure of these moieties could provide an important basis for the design of agents which more effectively target cells or pathogenic agents which rely on oligosaccharides for recognition. Structural data will be acquired in solution, and in membrane-like phases, on a series of simple glycolipids that include the sialic acid containing gangliosides. The solution studies employ conventional two-dimensional NMR methods that yield structural information through their sensitivity to inter-proton distances, but they also include the development and application of methods that are particularly useful in the location of ion binding sites. The studies in membrane-like environments employ 2H, 1H, and 13C NMR experiments to obtain orientational information from quadrupolar and dipolar couplings. A molecular modeling protocol will be developed that integrates both types of experimental data with molecular energy calculations to provide descriptions of the structure and dynamics of the molecules under study.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM033225-08
Application #
3282661
Study Section
Biophysical Chemistry Study Section (BBCB)
Project Start
1984-07-01
Project End
1994-11-30
Budget Start
1991-12-01
Budget End
1992-11-30
Support Year
8
Fiscal Year
1992
Total Cost
Indirect Cost
Name
Yale University
Department
Type
Schools of Arts and Sciences
DUNS #
082359691
City
New Haven
State
CT
Country
United States
Zip Code
06520
Gao, Qi; Chalmers, Gordon R; Moremen, Kelley W et al. (2017) NMR assignments of sparsely labeled proteins using a genetic algorithm. J Biomol NMR 67:283-294
Pederson, Kari; Chalmers, Gordon R; Gao, Qi et al. (2017) NMR characterization of HtpG, the E. coli Hsp90, using sparse labeling with 13C-methyl alanine. J Biomol NMR 68:225-236
Zhuo, You; Yang, Jeong-Yeh; Moremen, Kelley W et al. (2016) Glycosylation Alters Dimerization Properties of a Cell-surface Signaling Protein, Carcinoembryonic Antigen-related Cell Adhesion Molecule 1 (CEACAM1). J Biol Chem 291:20085-95
Chalmers, G; Glushka, J N; Foley, B L et al. (2016) Direct NOE simulation from long MD trajectories. J Magn Reson 265:1-9
Pederson, Kari; Mitchell, Daniel A; Prestegard, James H (2014) Structural characterization of the DC-SIGN-Lewis(X) complex. Biochemistry 53:5700-9
Frank, Martin; Walker, Ross C; Lanzilotta, William N et al. (2014) Immunoglobulin G1 Fc domain motions: implications for Fc engineering. J Mol Biol 426:1799-811
Barb, Adam W; Wang, Xu; Prestegard, James H (2013) Refolded recombinant Siglec5 for NMR investigation of complex carbohydrate binding. Protein Expr Purif 88:183-9
Barb, Adam W; Ho, Tienhuei Grace; Flanagan-Steet, Heather et al. (2012) Lanthanide binding and IgG affinity construct: potential applications in solution NMR, MRI, and luminescence microscopy. Protein Sci 21:1456-66
Barb, Adam W; Meng, Lu; Gao, Zhongwei et al. (2012) NMR characterization of immunoglobulin G Fc glycan motion on enzymatic sialylation. Biochemistry 51:4618-26
Barb, Adam W; Freedberg, DarĂ³n I; Battistel, Marcos D et al. (2011) NMR detection and characterization of sialylated glycoproteins and cell surface polysaccharides. J Biomol NMR 51:163-71

Showing the most recent 10 out of 64 publications