Dataset Information

Synthesis of high-mannose oligosaccharides containing mannose-6-phosphate residues using regioselective glycosylation.

ABSTRACT: Molecular recognition of mannose-6-phosphate (M6P)-modified oligosaccharides by transmembrane M6P receptors is a key signaling event in lysosomal protein trafficking in vivo. Access to M6P-containing high-mannose N-glycans is essential to achieving a thorough understanding of the M6P ligand-receptor recognition process. Herein we report the application of a versatile and reliable chemical strategy to prepare asymmetric di-antennary M6P-tagged high-mannose oligosaccharides in >20% overall yield and in high purity (>98%). Regioselective chemical glycosylation coupled with effective phosphorylation and product purification protocols were applied to rapidly assemble these oligosaccharides. The development of this synthetic strategy simplifies the preparation of M6P-tagged high-mannose oligosaccharides, which will improve access to these compounds to study their structures and biological functions.

SUBMITTER: Meng B

PROVIDER: S-EPMC6121786 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Synthesis of high-mannose oligosaccharides containing mannose-6-phosphate residues using regioselective glycosylation.

Meng Bo B Wang Jun J Wang Quanli Q Serianni Anthony S AS Pan Qingfeng Q

Carbohydrate research 20180731

Molecular recognition of mannose-6-phosphate (M6P)-modified oligosaccharides by transmembrane M6P receptors is a key signaling event in lysosomal protein trafficking in vivo. Access to M6P-containing high-mannose N-glycans is essential to achieving a thorough understanding of the M6P ligand-receptor recognition process. Herein we report the application of a versatile and reliable chemical strategy to prepare asymmetric di-antennary M6P-tagged high-mannose oligosaccharides in >20% overall yield a ...[more]

PMID: 30075362

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Project description:BackgroundMannose binding proteins (MBPs) play a vital role in several biological functions such as defense mechanisms. These proteins bind to mannose on the surface of a wide range of pathogens and help in eliminating these pathogens from our body. Thus, it is important to identify mannose interacting residues (MIRs) in order to understand mechanism of recognition of pathogens by MBPs.ResultsThis paper describes modules developed for predicting MIRs in a protein. Support vector machine (SVM) based models have been developed on 120 mannose binding protein chains, where no two chains have more than 25% sequence similarity. SVM models were developed on two types of datasets: 1) main dataset consists of 1029 mannose interacting and 1029 non-interacting residues, 2) realistic dataset consists of 1029 mannose interacting and 10320 non-interacting residues. In this study, firstly, we developed standard modules using binary and PSSM profile of patterns and got maximum MCC around 0.32. Secondly, we developed SVM modules using composition profile of patterns and achieved maximum MCC around 0.74 with accuracy 86.64% on main dataset. Thirdly, we developed a model on a realistic dataset and achieved maximum MCC of 0.62 with accuracy 93.08%. Based on this study, a standalone program and web server have been developed for predicting mannose interacting residues in proteins (http://www.imtech.res.in/raghava/premier/).ConclusionsCompositional analysis of mannose interacting and non-interacting residues shows that certain types of residues are preferred in mannose interaction. It was also observed that residues around mannose interacting residues have a preference for certain types of residues. Composition of patterns/peptide/segment has been used for predicting MIRs and achieved reasonable high accuracy. It is possible that this novel strategy may be effective to predict other types of interacting residues. This study will be useful in annotating the function of protein as well as in understanding the role of mannose in the immune system.

Dataset Information

Synthesis of high-mannose oligosaccharides containing mannose-6-phosphate residues using regioselective glycosylation.

Publications

Synthesis of high-mannose oligosaccharides containing mannose-6-phosphate residues using regioselective glycosylation.

Similar Datasets

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