USE OF FACTORIAL EXPERIMENTAL-DESIGN TO DELINEATE THE STRONG CALCIUM-DEPENDENT AND PH-DEPENDENT CHANGES IN BINDING OF HUMAN SURFACTANT PROTEIN-A TO NEUTRAL GLYCOSPHINGOLIPIDS - A MODEL FOR STUDIES OF PROTEIN CARBOHYDRATE INTERACTIONS
L. Hynsjo et al., USE OF FACTORIAL EXPERIMENTAL-DESIGN TO DELINEATE THE STRONG CALCIUM-DEPENDENT AND PH-DEPENDENT CHANGES IN BINDING OF HUMAN SURFACTANT PROTEIN-A TO NEUTRAL GLYCOSPHINGOLIPIDS - A MODEL FOR STUDIES OF PROTEIN CARBOHYDRATE INTERACTIONS, Analytical biochemistry, 225(2), 1995, pp. 305-314
Human surfactant protein-A (SP-A) is a C-type lectin belonging to the
collection supergroup of mammalian lectins. It is produced by alveolar
type II cells and has been shown to bind to lactosylceramide (R. A. C
hilds, J. R. Wright, G. F. Boss, C-T Yuen, A. M. Lawson, C. Chai, K. D
rickamer, and T. Feizi (1992) J. Biol. Chem. 287, 9972-9979), galactos
ylceramide, and gangliotriaosylceramide (Y. Kuroki, S. Gasa, Y. Ogasaw
ara, A. Makita, and T. Akino (1992) Arch. Biochem. Biophys. 299, 261-2
67), To evaluate the pH- and calcium-dependent binding of SP-A to neut
ral glycosphingolipids we employed a microtiter plate technique and pe
rformed a series of full factorial design experiments using lactosylce
ramide, galactosylceramide, and gangliotetraosylceramide and native no
nderivatized SPA. The optimal binding conditions were drastically diff
erent for these three receptors. At pH 7.4 and at 5 mM Ca concentratio
n the binding affinity of SP-A followed the order galactosylceramide >
lactosylceramide > gangliotetraosylceramide. However, this was close
to optimal conditions for binding of SP-A to lactosylceramide and at m
inimum for binding to gangliotetraosylceramide. Binding of SP-A to gal
actosylceramide was relatively insensitive to pH but increased signifi
cantly with increasing Ca concentrations. These experiments using fact
orial experimental design emphasize the importance of critical interpr
etation of all earlier studies on protein-carbohydrate interactions es
pecially when transferring experimental data into complex biological s
ystems. (C) 1995 Academic Press, Inc.