Suppr超能文献

定量糖组学:一种综合分析与生物信息学方法

Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach.

作者信息

Veillon L, Zhou S, Mechref Y

机构信息

Texas Tech University, Lubbock, TX, United States.

Texas Tech University, Lubbock, TX, United States.

出版信息

Methods Enzymol. 2017;585:431-477. doi: 10.1016/bs.mie.2016.11.006. Epub 2017 Jan 9.

Abstract

Glycosylation is one of the most common and essential protein modifications. Glycans conjugated to biomolecules modulate the function of such molecules through both direct recognition of glycan structures and indirect mechanisms that involve the control of protein turnover rates, stability, and conformation. The biological attributes of glycans in numerous biological processes and implications in a number of diseases highlight the necessity for comprehensive characterization of protein glycosylation. This chapter reviews cutting-edge methods and tools developed to facilitate quantitative glycomics. This chapter highlights the different methods employed for the release and purification of glycans from biological samples. The most effective labeling methods developed for sensitive quantitative glycomics are also described and discussed. The chromatographic approaches that have been used effectively in glycomics are also highlighted.

摘要

糖基化是最常见且重要的蛋白质修饰之一。与生物分子共轭的聚糖通过对聚糖结构的直接识别以及涉及控制蛋白质周转率、稳定性和构象的间接机制来调节此类分子的功能。聚糖在众多生物过程中的生物学特性以及在多种疾病中的影响凸显了全面表征蛋白质糖基化的必要性。本章综述了为促进定量糖组学而开发的前沿方法和工具。本章重点介绍了从生物样品中释放和纯化聚糖所采用的不同方法。还描述并讨论了为灵敏的定量糖组学而开发的最有效的标记方法。同时也强调了在糖组学中有效使用的色谱方法。

相似文献

1
Quantitative Glycomics: A Combined Analytical and Bioinformatics Approach.
Methods Enzymol. 2017;585:431-477. doi: 10.1016/bs.mie.2016.11.006. Epub 2017 Jan 9.
3
Bioinformatics protocols in glycomics and glycoproteomics.
Curr Protoc Protein Sci. 2014 Apr 1;76:2.15.1-2.15.7. doi: 10.1002/0471140864.ps0215s76.
4
Human disease glycomics: technology advances enabling protein glycosylation analysis - part 1.
Expert Rev Proteomics. 2018 Feb;15(2):165-182. doi: 10.1080/14789450.2018.1421946. Epub 2018 Jan 11.
6
A Quantitative Glycomics and Proteomics Combined Purification Strategy.
J Vis Exp. 2016 Mar 8(109):53735. doi: 10.3791/53735.
7
Solid-phase glycan isolation for glycomics analysis.
Proteomics Clin Appl. 2012 Dec;6(11-12):596-608. doi: 10.1002/prca.201200045.
8
Metabolic labeling of glycans with isotopic glucose for quantitative glycomics in yeast.
Anal Biochem. 2021 May 15;621:114152. doi: 10.1016/j.ab.2021.114152. Epub 2021 Mar 13.
9
Simultaneous Release and Labeling of O- and N-Glycans Allowing for Rapid Glycomic Analysis by Online LC-UV-ESI-MS/MS.
J Proteome Res. 2018 Jul 6;17(7):2345-2357. doi: 10.1021/acs.jproteome.8b00038. Epub 2018 May 24.
10
Bioinformatics in glycomics: glycan characterization with mass spectrometric data using SimGlycan.
Methods Mol Biol. 2010;600:269-81. doi: 10.1007/978-1-60761-454-8_19.

引用本文的文献

1
Expression of placental glycans and its role in regulating peripheral blood NK cells during preeclampsia: a perspective.
Front Endocrinol (Lausanne). 2023 May 3;14:1087845. doi: 10.3389/fendo.2023.1087845. eCollection 2023.
2
Mass Spectrometry Imaging for Glycome in the Brain.
Front Neuroanat. 2021 Jul 29;15:711955. doi: 10.3389/fnana.2021.711955. eCollection 2021.
3
Towards a standardized bioinformatics infrastructure for N- and O-glycomics.
Nat Commun. 2019 Jul 22;10(1):3275. doi: 10.1038/s41467-019-11131-x.
4
glypy: An Open Source Glycoinformatics Library.
J Proteome Res. 2019 Sep 6;18(9):3532-3537. doi: 10.1021/acs.jproteome.9b00367. Epub 2019 Jul 30.
5
Sweet and Sour : Glycoproteomics and Phosphoproteomics Reveal New Players in Physiology and Pathogenesis.
Front Microbiol. 2019 Mar 15;10:450. doi: 10.3389/fmicb.2019.00450. eCollection 2019.
6
Positive-unlabelled learning of glycosylation sites in the human proteome.
BMC Bioinformatics. 2019 Mar 6;20(1):112. doi: 10.1186/s12859-019-2700-1.
7
Magnetic carbon nanocomposites as a MALDI co-matrix enhancing MS-based glycomics.
Anal Bioanal Chem. 2018 Nov;410(28):7395-7404. doi: 10.1007/s00216-018-1345-7. Epub 2018 Sep 8.
8
Characterization of isomeric glycan structures by LC-MS/MS.
Electrophoresis. 2017 Sep;38(17):2100-2114. doi: 10.1002/elps.201700042. Epub 2017 May 17.

本文引用的文献

1
Quantitative LC-MS/MS Glycomic Analysis of Biological Samples Using AminoxyTMT.
Anal Chem. 2016 Aug 2;88(15):7515-22. doi: 10.1021/acs.analchem.6b00465. Epub 2016 Jul 19.
2
Advanced assessment of the physicochemical characteristics of Remicade® and Inflectra® by sensitive LC/MS techniques.
MAbs. 2016 Aug-Sep;8(6):1021-34. doi: 10.1080/19420862.2016.1193661. Epub 2016 Jun 3.
3
Oxidative release of natural glycans for functional glycomics.
Nat Methods. 2016 Jun;13(6):528-34. doi: 10.1038/nmeth.3861. Epub 2016 May 2.
4
LC-MS/MS analysis of permethylated free oligosaccharides and N-glycans derived from human, bovine, and goat milk samples.
Electrophoresis. 2016 Jun;37(11):1532-48. doi: 10.1002/elps.201500561. Epub 2016 Apr 29.
5
Reliable LC-MS quantitative glycomics using iGlycoMab stable isotope labeled glycans as internal standards.
Electrophoresis. 2016 Jun;37(11):1489-97. doi: 10.1002/elps.201600013. Epub 2016 Apr 9.
6
Applications of ion mobility mass spectrometry for high throughput, high resolution glycan analysis.
Biochim Biophys Acta. 2016 Aug;1860(8):1688-709. doi: 10.1016/j.bbagen.2016.02.003. Epub 2016 Feb 22.
7
Glycomics and glycoproteomics focused on aging and age-related diseases--Glycans as a potential biomarker for physiological alterations.
Biochim Biophys Acta. 2016 Aug;1860(8):1608-14. doi: 10.1016/j.bbagen.2016.01.013. Epub 2016 Jan 19.
8
QUANTITY: An Isobaric Tag for Quantitative Glycomics.
Sci Rep. 2015 Nov 30;5:17585. doi: 10.1038/srep17585.
9
Quantitative O-Glycomics by Microwave-Assisted β-Elimination in the Presence of Pyrazolone Analogues.
Anal Chem. 2015 Aug 4;87(15):7524-8. doi: 10.1021/acs.analchem.5b02155. Epub 2015 Jul 14.
10
Automating mass spectrometry-based quantitative glycomics using aminoxy tandem mass tag reagents with SimGlycan.
J Proteomics. 2015 Sep 8;127(Pt A):211-22. doi: 10.1016/j.jprot.2015.05.015. Epub 2015 May 21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验