Literature DB >> 18626901

A modeling framework for the study of protein glycosylation.

M Shelikoff1, A J Sinskey, G Stephanopoulos.   

Abstract

The key step in the asparagine-linked glycosylation of secretory proteins is the transfer of oligosaccharide from a dolichol precursor to the polypeptide at an Asp-X-Ser/Thr (NXS/T) consensus sequence. It is often the case, both in cultured cells and in vivo, that this reaction does not occur for every molecule of a given protein. Thus, the cell may create two protein populations, one bearing and one lacking oligosaccharide, for each potential glycosylation site. We present a structured kinetic modeling framework of the initial glycosylation event based on a balance of available glycosylation sites through the region of endoplasmic reticulum lumen proximal to the membrane. Oligosaccharyltransferase, a multimeric protein complex, catalyzes the sugar transfer. This enzyme is integral to the endoplasmic reticulum membrane, and it is thought to act cotranslationally. The nascent polypeptide may also fold in such a way as to prevent glycosylation from occurring. The net result is a potentially complex spatial and temporal relationship among translation, glycosylation, and other cotranslational events. Model results predict how fractional glycosylation site occupancy may depend on protein synthesis rate, oligosaccharyldolichol availability, and mRNA elongation rate. Although we are currently unable to quantitatively compare predicted to experimentally obtained fractional site occupancy, we are able to determine qualitative trends which may be confirmed experimentally.

Entities:  

Year:  1996        PMID: 18626901     DOI: 10.1002/(SICI)1097-0290(19960405)50:1<73::AID-BIT9>3.0.CO;2-Z

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  12 in total

1.  A Markov chain model for N-linked protein glycosylation--towards a low-parameter tool for model-driven glycoengineering.

Authors:  Philipp N Spahn; Anders H Hansen; Henning G Hansen; Johnny Arnsdorf; Helene F Kildegaard; Nathan E Lewis
Journal:  Metab Eng       Date:  2015-10-29       Impact factor: 9.783

Review 2.  Integration of systems glycobiology with bioinformatics toolboxes, glycoinformatics resources, and glycoproteomics data.

Authors:  Gang Liu; Sriram Neelamegham
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-04-13

Review 3.  Systems glycobiology: biochemical reaction networks regulating glycan structure and function.

Authors:  Sriram Neelamegham; Gang Liu
Journal:  Glycobiology       Date:  2011-03-24       Impact factor: 4.313

Review 4.  Understanding glycomechanics using mathematical modeling: a review of current approaches to simulate cellular glycosylation reaction networks.

Authors:  Apurv Puri; Sriram Neelamegham
Journal:  Ann Biomed Eng       Date:  2011-11-17       Impact factor: 3.934

5.  Genome-scale metabolic reconstruction and in silico analysis of methylotrophic yeast Pichia pastoris for strain improvement.

Authors:  Bevan Ks Chung; Suresh Selvarasu; Camattari Andrea; Jimyoung Ryu; Hyeokweon Lee; Jungoh Ahn; Hongweon Lee; Dong-Yup Lee
Journal:  Microb Cell Fact       Date:  2010-07-01       Impact factor: 5.328

6.  Systems-level modeling of cellular glycosylation reaction networks: O-linked glycan formation on natural selectin ligands.

Authors:  Gang Liu; Dhananjay D Marathe; Khushi L Matta; Sriram Neelamegham
Journal:  Bioinformatics       Date:  2008-10-07       Impact factor: 6.937

7.  Invertase SUC2 Is the key hydrolase for inulin degradation in Saccharomyces cerevisiae.

Authors:  Shi-An Wang; Fu-Li Li
Journal:  Appl Environ Microbiol       Date:  2012-10-26       Impact factor: 4.792

8.  Biological Insights into Therapeutic Protein Modifications throughout Trafficking and Their Biopharmaceutical Applications.

Authors:  Xiaotian Zhong; Jill F Wright
Journal:  Int J Cell Biol       Date:  2013-04-18

9.  Computational analysis reveals abundance of potential glycoproteins in Archaea, Bacteria and Eukarya.

Authors:  Sadia Zafar; Arshan Nasir; Habib Bokhari
Journal:  Bioinformation       Date:  2011-07-19

10.  Genome-scale modeling of the protein secretory machinery in yeast.

Authors:  Amir Feizi; Tobias Österlund; Dina Petranovic; Sergio Bordel; Jens Nielsen
Journal:  PLoS One       Date:  2013-05-07       Impact factor: 3.240

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