Selective control of oligosaccharide transfer efficiency for the N-glycosylation sequon by a point mutation in oligosaccharyltransferase

通过寡糖基转移酶的点突变选择性地控制N-糖基化序列的寡糖转移效率

阅读:1

Abstract

Asn-linked glycosylation is the most ubiquitous posttranslational protein modification in eukaryotes and archaea, and in some eubacteria. Oligosaccharyltransferase (OST) catalyzes the transfer of preassembled oligosaccharides on lipid carriers onto asparagine residues in polypeptide chains. Inefficient oligosaccharide transfer results in glycoprotein heterogeneity, which is particularly bothersome in pharmaceutical glycoprotein production. Amino acid variation at the X position of the Asn-X-Ser/Thr sequon is known to modulate the glycosylation efficiency. The best amino acid at X is valine, for an archaeal Pyrococcus furiosus OST. We performed a systematic alanine mutagenesis study of the archaeal OST to identify the essential and dispensable amino acid residues in the three catalytic motifs. We then investigated the effects of the dispensable mutations on the amino acid preference in the N-glycosylation sequon. One residue position was found to selectively affect the amino acid preference at the X position. This residue is located within the recently identified DXXKXXX(M/I) motif, suggesting the involvement of this motif in N-glycosylation sequon recognition. In applications, mutations at this position may facilitate the design of OST variants adapted to particular N-glycosylation sites to reduce the heterogeneity of glycan occupancy. In fact, a mutation at this position led to 9-fold higher activity relative to the wild-type enzyme, toward a peptide containing arginine at X in place of valine. This mutational approach is potentially applicable to eukaryotic and eubacterial OSTs for the production of homogenous glycoproteins in engineered mammalian and Escherichia coli cells.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。