Literature DB >> 29285957

Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1.

Arun V Everest-Dass1,2,3, Edward S X Moh1,3, Christopher Ashwood1,3, Abdulrahman M M Shathili1,3, Nicolle H Packer1,2,3.   

Abstract

INTRODUCTION: Protein glycosylation is recognized as an important post-translational modification, with specific substructures having significant effects on protein folding, conformation, distribution, stability and activity. However, due to the structural complexity of glycans, elucidating glycan structure-function relationships is demanding. The fine detail of glycan structures attached to proteins (including sequence, branching, linkage and anomericity) is still best analysed after the glycans are released from the purified or mixture of glycoproteins (glycomics). The technologies currently available for glycomics are becoming streamlined and standardized and many features of protein glycosylation can now be determined using instruments available in most protein analytical laboratories. Areas covered: This review focuses on the current glycomics technologies being commonly used for the analysis of the microheterogeneity of monosaccharide composition, sequence, branching and linkage of released N- and O-linked glycans that enable the determination of precise glycan structural determinants presented on secreted proteins and on the surface of all cells. Expert commentary: Several emerging advances in these technologies enabling glycomics analysis are discussed. The technological and bioinformatics requirements to be able to accurately assign these precise glycan features at biological levels in a disease context are assessed.

Entities:  

Keywords:  Glycomics; disease glycomics; glycan analysis; glycan structure; mass spectrometry

Mesh:

Substances:

Year:  2018        PMID: 29285957     DOI: 10.1080/14789450.2018.1421946

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  11 in total

1.  State-of-the-Art Glycomics Technologies in Glycobiotechnology.

Authors:  Alexander Pralow; Samanta Cajic; Kathirvel Alagesan; Daniel Kolarich; Erdmann Rapp
Journal:  Adv Biochem Eng Biotechnol       Date:  2021       Impact factor: 2.635

2.  Serum N-glycomic profiling may provide potential signatures for surveillance of COVID-19.

Authors:  Yongjing Xie; Michael Butler
Journal:  Glycobiology       Date:  2022-09-19       Impact factor: 5.954

3.  A General New Method for Calculating the Molecular Nonpolar Surface for Analysis of LC-MS Data.

Authors:  Rabin Dhakal; Reed Nieman; Daniel C A Valente; Thiago M Cardozo; Bhumika Jayee; Amna Aqdas; Wenjing Peng; Adelia J A Aquino; Yehia Mechref; Hans Lischka; Hanna Moussa
Journal:  Int J Mass Spectrom       Date:  2020-12-16       Impact factor: 1.986

Review 4.  Towards a standardized bioinformatics infrastructure for N- and O-glycomics.

Authors:  Miguel A Rojas-Macias; Julien Mariethoz; Peter Andersson; Chunsheng Jin; Vignesh Venkatakrishnan; Nobuyuki P Aoki; Daisuke Shinmachi; Christopher Ashwood; Katarina Madunic; Tao Zhang; Rebecca L Miller; Oliver Horlacher; Weston B Struwe; Yu Watanabe; Shujiro Okuda; Fredrik Levander; Daniel Kolarich; Pauline M Rudd; Manfred Wuhrer; Carsten Kettner; Nicolle H Packer; Kiyoko F Aoki-Kinoshita; Frédérique Lisacek; Niclas G Karlsson
Journal:  Nat Commun       Date:  2019-07-22       Impact factor: 14.919

5.  Characterization of glycan isomers using magnetic carbon nanoparticles as a MALDI co-matrix.

Authors:  Alireza Banazadeh; Reed Nieman; Mona Goli; Wenjing Peng; Ahmed Hussein; Ercan Bursal; Hans Lischka; Yehia Mechref
Journal:  RSC Adv       Date:  2019-06-27       Impact factor: 4.036

Review 6.  Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention.

Authors:  Krasimira Aleksandrova; Caue Egea Rodrigues; Anna Floegel; Wolfgang Ahrens
Journal:  Curr Obes Rep       Date:  2020-09

Review 7.  MS-based glycomics and glycoproteomics methods enabling isomeric characterization.

Authors:  Wenjing Peng; Cristian D Gutierrez Reyes; Sakshi Gautam; Aiying Yu; Byeong Gwan Cho; Mona Goli; Kaitlyn Donohoo; Stefania Mondello; Firas Kobeissy; Yehia Mechref
Journal:  Mass Spectrom Rev       Date:  2021-06-22       Impact factor: 9.011

8.  Harnessing the potential of artificial neural networks for predicting protein glycosylation.

Authors:  Pavlos Kotidis; Cleo Kontoravdi
Journal:  Metab Eng Commun       Date:  2020-05-15

Review 9.  Finding the Keys to the CAR: Identifying Novel Target Antigens for T Cell Redirection Immunotherapies.

Authors:  Rebecca C Abbott; Ryan S Cross; Misty R Jenkins
Journal:  Int J Mol Sci       Date:  2020-01-14       Impact factor: 5.923

Review 10.  The Hitchhiker's guide to glycoproteomics.

Authors:  Tiago Oliveira; Morten Thaysen-Andersen; Nicolle H Packer; Daniel Kolarich
Journal:  Biochem Soc Trans       Date:  2021-08-27       Impact factor: 5.407

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