Hoffmann, R. A wiki for the life sciences where authorship matters. Nature Genetics (2008)

Editor

Personal info

View

About

Terms

Javascript disabled

Please enable Javascript support in your browser to use this application.

Instructions on how to enable JavaScript on different browsers can be found here: http://www.google.com/support/bin/answer.py?answer=23852.

[edit this page]

Naoi, M. et al.

Binding of specific glycoconjugates to human brain synaptosomes: studies using glycosylated beta-galactosidase.

Using glycosylated beta-galactosidase (beta-gal) as a glycoprotein model, binding of glycoconjugates to human brain synaptosomes was studied. Out of beta-gal modified with a series of p-aminophenyl alpha- or beta-glycosides, beta-gal modified with p-aminophenyl beta-D-glucopyranoside (beta-D-Glc beta-gal) was bound to the synaptosomes most effectively, then beta-gal modified with beta-D-galactoside and with alpha-D-mannoside. Kinetic studies on the binding of beta-D-Glc beta-gal indicated the presence of saturable binding on human brain synaptosomes. The values of the apparent Km and of the maximal binding velocity were obtained to be 248 +/- 32.9 microM and 43.8 +/- 1.43 fmol/min/mg synaptosome protein, at 4 degrees C and pH 7. 5. The specificity of the sugar recognition site proved by the competitive inhibition of the binding of beta-D-Glc beta-gal by bovine serum albumin modified with the same glycoside. The binding of beta-gal modified with beta-D-galactoside was inhibited by treatment of the synaptosomes with trypsin, phospholipase A2, C and D, and with neuraminidase, while the binding of beta-D-Glc beta-gal was inhibited by neuraminidase treatment of synaptosomes. In subcellular fractions of human brain the binding protein was localized mainly in synaptosomes.[1]

References

Binding of specific glycoconjugates to human brain synaptosomes: studies using glycosylated beta-galactosidase. Naoi, M., Iwashita, T., Nagatsu, T. Neurosci. Lett. (1987) [Pubmed]

Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenes Open Access Licence Privacy Policy Terms of Use apsburg

The world's first wiki where authorship really matters (Nature Genetics, 2008). Due credit and reputation for authors. Imagine a global collaborative knowledge base for original thoughts. Search thousands of articles and collaborate with scientists around the globe.