Suppr超能文献

使用蛋白质微阵列和质谱技术进行糖蛋白分析。

Glycoprotein analysis using protein microarrays and mass spectrometry.

机构信息

Pfizer Global Research, Groton, CT, USA.

出版信息

Mass Spectrom Rev. 2010 Sep-Oct;29(5):830-44. doi: 10.1002/mas.20269.

Abstract

Protein glycosylation plays an important role in a multitude of biological processes such as cell-cell recognition, growth, differentiation, and cell death. It has been shown that specific glycosylation changes are key in disease progression and can have diagnostic value for a variety of disease types such as cancer and inflammation. The complexity of carbohydrate structures and their derivatives makes their study a real challenge. Improving the isolation, separation, and characterization of carbohydrates and their glycoproteins is a subject of increasing scientific interest. With the development of new stationary phases and molecules that have affinity properties for glycoproteins, the isolation and separation of these compounds have advanced significantly. In addition to detection with mass spectrometry, the microarray platform has become an essential tool to characterize glycan structure and to study glycosylation-related biological interactions, by using probes as a means to interrogate the spotted or captured glycosylated molecules on the arrays. Furthermore, the high-throughput and reproducible nature of microarray platforms have been highlighted by its extensive applications in the field of biomarker validation, where a large number of samples must be analyzed multiple times. This review covers a brief survey of the other experimental methodologies that are currently being developed and used to study glycosylation and emphasizes methodologies that involve the use of microarray platforms. This review describes recent advances in several options of microarray platforms used in glycoprotein analysis, including glycoprotein arrays, glycan arrays, lectin arrays, and antibody/lectin arrays. The translational use of these arrays in applications related to characterization of cells and biomarker discovery is also included.

摘要

蛋白质糖基化在多种生物过程中发挥着重要作用,例如细胞-细胞识别、生长、分化和细胞死亡。已经表明,特定的糖基化变化是疾病进展的关键,并且对多种疾病类型(如癌症和炎症)具有诊断价值。碳水化合物结构及其衍生物的复杂性使得它们的研究成为一个真正的挑战。提高碳水化合物及其糖蛋白的分离、分离和特性鉴定是科学研究日益关注的课题。随着对糖蛋白具有亲和特性的新型固定相和分子的发展,这些化合物的分离和分离取得了重大进展。除了使用质谱进行检测外,微阵列平台已成为表征聚糖结构和研究糖基化相关生物相互作用的重要工具,通过使用探针作为询问点来研究阵列上点样或捕获的糖基化分子。此外,微阵列平台的高通量和可重复性已通过其在生物标志物验证领域的广泛应用得到了强调,在该领域中必须多次分析大量样本。本文综述了目前正在开发和使用的研究糖基化的其他实验方法,并强调了涉及使用微阵列平台的方法。本文描述了几种用于糖蛋白分析的微阵列平台的最新进展,包括糖蛋白微阵列、糖基化微阵列、凝集素微阵列和抗体/凝集素微阵列。还包括这些阵列在与细胞表征和生物标志物发现相关的应用中的转化使用。

相似文献

1
Glycoprotein analysis using protein microarrays and mass spectrometry.
Mass Spectrom Rev. 2010 Sep-Oct;29(5):830-44. doi: 10.1002/mas.20269.
4
Lectin microarrays for glycoprotein analysis.
Methods Mol Biol. 2007;385:193-203. doi: 10.1007/978-1-59745-426-1_14.
8
Focused differential glycan analysis with the platform antibody-assisted lectin profiling for glycan-related biomarker verification.
Mol Cell Proteomics. 2009 Jan;8(1):99-108. doi: 10.1074/mcp.M800308-MCP200. Epub 2008 Aug 11.
10
Application of Lectin Microarrays for Biomarker Discovery.
ChemistryOpen. 2020 Mar 2;9(3):285-300. doi: 10.1002/open.201900326. eCollection 2020 Mar.

引用本文的文献

1
Advancing Point-of-Care Diagnosis: Digitalizing Combinatorial Biomarker Signals for Lupus Nephritis.
Biosensors (Basel). 2024 Mar 18;14(3):147. doi: 10.3390/bios14030147.
2
IgG glycopeptide enrichment using hydrophilic interaction chromatography-based solid-phase extraction on an aminopropyl column.
Anal Bioanal Chem. 2024 Mar;416(8):1867-1881. doi: 10.1007/s00216-024-05187-y. Epub 2024 Feb 13.
3
Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach.
Adv Cancer Res. 2023;157:23-56. doi: 10.1016/bs.acr.2022.07.005. Epub 2022 Sep 6.
4
Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine.
Front Endocrinol (Lausanne). 2022 Aug 22;13:970489. doi: 10.3389/fendo.2022.970489. eCollection 2022.
7
Methods for quantification of glycopeptides by liquid separation and mass spectrometry.
Mass Spectrom Rev. 2023 Mar;42(2):887-917. doi: 10.1002/mas.21771. Epub 2022 Feb 4.
8
Applications and continued evolution of glycan imaging mass spectrometry.
Mass Spectrom Rev. 2023 Mar;42(2):674-705. doi: 10.1002/mas.21725. Epub 2021 Aug 15.
9
David M. Lubman-The University of Michigan-A retrospective in research.
Mass Spectrom Rev. 2023 Mar;42(2):643-651. doi: 10.1002/mas.21718. Epub 2021 Jul 21.
10
Natural and Synthetic Sialylated Glycan Microarrays and Their Applications.
Front Mol Biosci. 2019 Sep 13;6:88. doi: 10.3389/fmolb.2019.00088. eCollection 2019.

本文引用的文献

1
Mucin glycosylation is altered by pro-inflammatory signaling in pancreatic-cancer cells.
J Proteome Res. 2009 Apr;8(4):1876-86. doi: 10.1021/pr8008379.
2
The prospects of glycan biomarkers for the diagnosis of diseases.
Mol Biosyst. 2009 Jan;5(1):17-20. doi: 10.1039/b811781k. Epub 2008 Nov 6.
3
Pancreatic cancer serum detection using a lectin/glyco-antibody array method.
J Proteome Res. 2009 Feb;8(2):483-92. doi: 10.1021/pr8007013.
5
6
Structural glycomics using hydrophilic interaction chromatography (HILIC) with mass spectrometry.
Mass Spectrom Rev. 2009 Mar-Apr;28(2):192-206. doi: 10.1002/mas.20195.
8
Glycoarrays--tools for determining protein-carbohydrate interactions and glycoenzyme specificity.
Chem Commun (Camb). 2008 Oct 7(37):4400-12. doi: 10.1039/b806983m. Epub 2008 Aug 5.
9
Carbohydrate microarrays as powerful tools in studies of carbohydrate-mediated biological processes.
Chem Commun (Camb). 2008 Oct 7(37):4389-99. doi: 10.1039/b806699j. Epub 2008 Jul 28.
10
Peptide microarrays: next generation biochips for detection, diagnostics and high-throughput screening.
Curr Pharm Des. 2008;14(24):2428-38. doi: 10.2174/138161208785777450.

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