Literature DB >> 19457477

Using pulse field gradient NMR diffusion measurements to define molecular size distributions in glycan preparations.

Michelle C Miller1, Anatole Klyosov, David Platt, Kevin H Mayo.   

Abstract

Glycans comprise perhaps the largest biomass in nature, and more and more glycans are used in a number of applications, including those as pharmaceutical agents in the clinic. However, defining glycan molecular weight distributions during and after their preparation is not always straightforward. Here, we use pulse field gradient (PFG) (1)H NMR self-diffusion measurements to assess molecular weight distributions in various glycan preparations. Initially, we derived diffusion coefficients, D, on a series of dextrans with reported weight-average molecular weights from about 5 kDa to 150 kDa. For each dextran sample, we analyzed 15 diffusion decay curves, one from each of the 15 major (1)H resonance envelopes, to provide diffusion coefficients. By measuring D as a function of dextran concentration, we determined D at infinite dilution, D(inf), which allowed estimation of the hydrodynamic radius, R(h), using the Stokes-Einstein relationship. A plot of log D(inf) versus log R(h) was linear and provided a standard calibration curve from which R(h) is estimated for other glycans. We then applied this methodology to investigate two other glycans, an alpha-(1-->2)-L-rhamnosyl-alpha-(1-->4)-D-galacturonosyl with quasi-randomly distributed, mostly terminal beta(1-->4)-linked galactose side-chains (GRG) and an alpha(1-->6)-D-galacto-beta(1-->4)-D-mannan (Davanat), which is presently being tested against cancer in the clinic. Using the dextran-derived calibration curve, we find that average R(h) values for GRG and Davanat are 76+/-6 x 10(-10) m and 56+/-3 x 10(-10) m, with GRG being more polydispersed than Davanat. Results from this study will be useful to investigators requiring knowledge of polysaccharide dispersity, needing to study polysaccharides under various solution conditions, or wanting to follow degradation of polysaccharides during production.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19457477     DOI: 10.1016/j.carres.2009.04.010

Source DB:  PubMed          Journal:  Carbohydr Res        ISSN: 0008-6215            Impact factor:   2.104


  9 in total

1.  Structural features for α-galactomannan binding to galectin-1.

Authors:  Michelle C Miller; Anatole A Klyosov; Kevin H Mayo
Journal:  Glycobiology       Date:  2011-12-07       Impact factor: 4.313

Review 2.  Toward synthetic life: Biomimetic synthetic cell communication.

Authors:  Abbey O Robinson; Orion M Venero; Katarzyna P Adamala
Journal:  Curr Opin Chem Biol       Date:  2021-09-28       Impact factor: 8.972

3.  The carbohydrate-binding domain on galectin-1 is more extensive for a complex glycan than for simple saccharides: implications for galectin-glycan interactions at the cell surface.

Authors:  Michelle C Miller; Irina V Nesmelova; David Platt; Anatole Klyosov; Kevin H Mayo
Journal:  Biochem J       Date:  2009-06-26       Impact factor: 3.857

4.  Binding of polysaccharides to human galectin-3 at a noncanonical site in its carbohydrate recognition domain.

Authors:  Michelle C Miller; Hans Ippel; Dennis Suylen; Anatole A Klyosov; Peter G Traber; Tilman Hackeng; Kevin H Mayo
Journal:  Glycobiology       Date:  2016-01       Impact factor: 4.313

5.  Novel polysaccharide binding to the N-terminal tail of galectin-3 is likely modulated by proline isomerization.

Authors:  Michelle C Miller; Y Zheng; Jingmin Yan; Yifa Zhou; Guihua Tai; Kevin H Mayo
Journal:  Glycobiology       Date:  2017-11-01       Impact factor: 4.313

6.  The alpha-galactomannan Davanat binds galectin-1 at a site different from the conventional galectin carbohydrate binding domain.

Authors:  Michelle C Miller; Anatole Klyosov; Kevin H Mayo
Journal:  Glycobiology       Date:  2009-06-18       Impact factor: 4.313

Review 7.  Turning-Off Signaling by Siglecs, Selectins, and Galectins: Chemical Inhibition of Glycan-Dependent Interactions in Cancer.

Authors:  Alejandro J Cagnoni; Juan M Pérez Sáez; Gabriel A Rabinovich; Karina V Mariño
Journal:  Front Oncol       Date:  2016-05-13       Impact factor: 6.244

Review 8.  Galectins as Molecular Targets for Therapeutic Intervention.

Authors:  Ruud P M Dings; Michelle C Miller; Robert J Griffin; Kevin H Mayo
Journal:  Int J Mol Sci       Date:  2018-03-19       Impact factor: 5.923

9.  Low or No Inhibitory Potency of the Canonical Galectin Carbohydrate-binding Site by Pectins and Galactomannans.

Authors:  John Stegmayr; Adriana Lepur; Barbro Kahl-Knutson; Matilde Aguilar-Moncayo; Anatole A Klyosov; Robert A Field; Stina Oredsson; Ulf J Nilsson; Hakon Leffler
Journal:  J Biol Chem       Date:  2016-04-26       Impact factor: 5.157

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.