Literature DB >> 32337579

Metabolic flux analysis of the neural cell glycocalyx reveals differential utilization of monosaccharides.

Maurice Wong1, Gege Xu1, Mariana Barboza1,2, Izumi Maezawa3, Lee-Way Jin3, Angela Zivkovic4, Carlito B Lebrilla1,2.   

Abstract

Saccharides in our diet are major sources of carbon for the formation of biomass such as proteins, lipids, nucleic acids and glycans. Among the dietary monosaccharides, glucose occupies a central role in metabolism, but human blood contains regulated levels of other monosaccharides as well. Their influence on metabolism and how they are utilized have not been explored thoroughly. Applying metabolic flux analysis on glycan synthesis can reveal the pathways that supply glycosylation precursors and provide a snapshot of the metabolic state of the cell. In this study, we traced the incorporation of six 13C uniformly labeled monosaccharides in the N-glycans, O-glycans and glycosphingolipids of both pluripotent and neural NTERA-2 cells. We gathered detailed isotopologue data for hundreds of glycoconjugates using mass spectrometry methods. The contributions of de novo synthesis and direct incorporation pathways for glucose, mannose, fructose, galactose, N-acetylglucosamine and fucose were determined based on their isotope incorporation. Co-feeding studies revealed that fructose incorporation is drastically decreased by the presence of glucose, while mannose and galactose were much less affected. Furthermore, increased sialylation slowed down the turnover of glycans, but fucosylation attenuated this effect. Our results demonstrated that exogenous monosaccharide utilization can vary markedly depending on the cell differentiation state and monosaccharide availability, and that the incorporation of carbons can also differ among different glycan structures. We contend that the analysis of metabolic isotope labeling of glycans can yield new insights about cell metabolism.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  glycomics; mass spectrometry; metabolic flux analysis; neuron; stable isotope labeling

Year:  2020        PMID: 32337579      PMCID: PMC7581652          DOI: 10.1093/glycob/cwaa038

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  44 in total

1.  Extensive determination of glycan heterogeneity reveals an unusual abundance of high mannose glycans in enriched plasma membranes of human embryonic stem cells.

Authors:  Hyun Joo An; Phung Gip; Jaehan Kim; Shuai Wu; Kun Wook Park; Cheryl T McVaugh; David V Schaffer; Carolyn R Bertozzi; Carlito B Lebrilla
Journal:  Mol Cell Proteomics       Date:  2011-12-06       Impact factor: 5.911

2.  A simple method for the isolation and purification of total lipides from animal tissues.

Authors:  J FOLCH; M LEES; G H SLOANE STANLEY
Journal:  J Biol Chem       Date:  1957-05       Impact factor: 5.157

Review 3.  Brain energy metabolism: focus on astrocyte-neuron metabolic cooperation.

Authors:  Mireille Bélanger; Igor Allaman; Pierre J Magistretti
Journal:  Cell Metab       Date:  2011-12-07       Impact factor: 27.287

4.  The metabolic origins of mannose in glycoproteins.

Authors:  Mie Ichikawa; David A Scott; Marie-Estelle Losfeld; Hudson H Freeze
Journal:  J Biol Chem       Date:  2014-01-09       Impact factor: 5.157

Review 5.  The isotopic distribution conundrum.

Authors:  Dirk Valkenborg; Inge Mertens; Filip Lemière; Erwin Witters; Tomasz Burzykowski
Journal:  Mass Spectrom Rev       Date:  2011-05-16       Impact factor: 10.946

Review 6.  Gluconeogenesis.

Authors:  J H Exton
Journal:  Metabolism       Date:  1972-10       Impact factor: 8.694

7.  Fucose incorporation into glycoproteins of mouse brain.

Authors:  M Zatz; S H Barondes
Journal:  J Neurochem       Date:  1970-02       Impact factor: 5.372

Review 8.  Assembly of asparagine-linked oligosaccharides.

Authors:  R Kornfeld; S Kornfeld
Journal:  Annu Rev Biochem       Date:  1985       Impact factor: 23.643

9.  Determining the Turnover of Glycosphingolipid Species by Stable-Isotope Tracer Lipidomics.

Authors:  Tore Skotland; Kim Ekroos; Simona Kavaliauskiene; Jonas Bergan; Dimple Kauhanen; Tuulia Lintonen; Kirsten Sandvig
Journal:  J Mol Biol       Date:  2016-06-27       Impact factor: 5.469

10.  The Small Intestine Converts Dietary Fructose into Glucose and Organic Acids.

Authors:  Cholsoon Jang; Sheng Hui; Wenyun Lu; Alexis J Cowan; Raphael J Morscher; Gina Lee; Wei Liu; Gregory J Tesz; Morris J Birnbaum; Joshua D Rabinowitz
Journal:  Cell Metab       Date:  2018-02-06       Impact factor: 27.287

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  6 in total

1.  Origin of cytoplasmic GDP-fucose determines its contribution to glycosylation reactions.

Authors:  Paulina Sosicka; Bobby G Ng; Lauren E Pepi; Asif Shajahan; Maurice Wong; David A Scott; Kenjiroo Matsumoto; Zhi-Jie Xia; Carlito B Lebrilla; Robert S Haltiwanger; Parastoo Azadi; Hudson H Freeze
Journal:  J Cell Biol       Date:  2022-09-02       Impact factor: 8.077

2.  Dynamic tracing of sugar metabolism reveals the mechanisms of action of synthetic sugar analogs.

Authors:  Monique van Scherpenzeel; Federica Conte; Christian Büll; Angel Ashikov; Esther Hermans; Anke Willems; Walinka van Tol; Else Kragt; Marek Noga; Ed E Moret; Torben Heise; Jeroen D Langereis; Emiel Rossing; Michael Zimmermann; M Estela Rubio-Gozalbo; Marien I de Jonge; Gosse J Adema; Nicola Zamboni; Thomas Boltje; Dirk J Lefeber
Journal:  Glycobiology       Date:  2022-03-30       Impact factor: 4.313

3.  Host Cell Glycocalyx Remodeling Reveals SARS-CoV-2 Spike Protein Glycomic Binding Sites.

Authors:  Ying Sheng; Anita Vinjamuri; Michael Russelle S Alvarez; Yixuan Xie; Marisa McGrath; Siyu Chen; Mariana Barboza; Matthew Frieman; Carlito B Lebrilla
Journal:  Front Mol Biosci       Date:  2022-03-14

4.  Targeting cell surface glycans with lectin-coated fluorescent nanodiamonds.

Authors:  Mina Ghanimi Fard; Zahra Khabir; Philipp Reineck; Nicole M Cordina; Hiroshi Abe; Takeshi Ohshima; Sagar Dalal; Brant C Gibson; Nicolle H Packer; Lindsay M Parker
Journal:  Nanoscale Adv       Date:  2022-02-07

Review 5.  13C metabolic flux analysis: Classification and characterization from the perspective of mathematical modeling and application in physiological research of neural cell.

Authors:  Birui Tian; Meifeng Chen; Lunxian Liu; Bin Rui; Zhouhui Deng; Zhengdong Zhang; Tie Shen
Journal:  Front Mol Neurosci       Date:  2022-09-08       Impact factor: 6.261

6.  N-Glycomic Analysis of the Cell Shows Specific Effects of Glycosyl Transferase Inhibitors.

Authors:  Qingwen Zhou; Yixuan Xie; Matthew Lam; Carlito B Lebrilla
Journal:  Cells       Date:  2021-09-04       Impact factor: 6.600

  6 in total

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