Suppr超能文献

采用凝集素亲和层析联合多维蛋白质鉴定技术分析人下颌下/舌下唾液糖蛋白组。

Characterization of the human submandibular/sublingual saliva glycoproteome using lectin affinity chromatography coupled to multidimensional protein identification technology.

机构信息

Center for Oral Biology, University of Rochester Medical Center, Rochester, NY 14642, USA.

出版信息

J Proteome Res. 2011 Nov 4;10(11):5031-46. doi: 10.1021/pr200505t. Epub 2011 Oct 13.

Abstract

In-depth analysis of the salivary proteome is fundamental to understanding the functions of salivary proteins in the oral cavity and to reveal disease biomarkers involved in different pathophysiological conditions, with the ultimate goal of improving patient diagnosis and prognosis. Submandibular and sublingual glands contribute saliva rich in glycoproteins to the total saliva output, making them valuable sources for glycoproteomic analysis. Lectin-affinity chromatography coupled to mass spectrometry-based shotgun proteomics was used to explore the submandibular/sublingual (SM/SL) saliva glycoproteome. A total of 262 N- and O-linked glycoproteins were identified by multidimensional protein identification technology (MudPIT). Only 38 were previously described in SM and SL salivas from the human salivary N-linked glycoproteome, while 224 were unique. Further comparison analysis with SM/SL saliva of the human saliva proteome, revealed 125 glycoproteins not formerly reported in this secretion. KEGG pathway analyses demonstrated that many of these glycoproteins are involved in processes such as complement and coagulation cascades, cell communication, glycosphingolipid biosynthesis neo-lactoseries, O-glycan biosynthesis, glycan structures-biosynthesis 2, starch and sucrose metabolism, peptidoglycan biosynthesis or others pathways. In summary, lectin-affinity chromatography coupled to MudPIT mass spectrometry identified many novel glycoproteins in SM/SL saliva. These new additions to the salivary proteome may prove to be a critical step for providing reliable biomarkers in the diagnosis of a myriad of oral and systemic diseases.

摘要

深入分析唾液蛋白质组对于理解唾液蛋白质在口腔中的功能以及揭示涉及不同病理生理状况的疾病生物标志物至关重要,最终目标是改善患者的诊断和预后。颌下腺和舌下腺分泌富含糖蛋白的唾液,是糖蛋白质组学分析的有价值来源。本文采用凝集素亲和色谱结合基于质谱的shotgun 蛋白质组学方法,探索颌下腺/舌下腺(SM/SL)唾液糖蛋白质组。通过多维蛋白质鉴定技术(MudPIT)鉴定出 262 种 N-和 O-连接糖蛋白。其中 38 种先前在人类唾液 N-连接糖蛋白质组的 SM 和 SL 唾液中已有描述,而 224 种是独特的。与人类唾液蛋白质组的 SM/SL 唾液进一步比较分析,揭示了 125 种以前未在该分泌物中报道的糖蛋白。KEGG 途径分析表明,这些糖蛋白中的许多参与补体和凝血级联、细胞通讯、糖脂生物合成新乳糖系列、O-聚糖生物合成、聚糖结构生物合成 2、淀粉和蔗糖代谢、肽聚糖生物合成或其他途径。总之,凝集素亲和色谱结合 MudPIT 质谱鉴定出 SM/SL 唾液中的许多新糖蛋白。这些唾液蛋白质组的新增内容可能被证明是为诊断无数口腔和系统性疾病提供可靠生物标志物的关键步骤。

相似文献

2
A modified device for collection and flow-rate measurement of submandibular-sublingual saliva.
Scand J Dent Res. 1993 Aug;101(4):210-4. doi: 10.1111/j.1600-0722.1993.tb01106.x.
3
Patterns of secretion of mucins and non-mucin glycoproteins in human submandibular/sublingual secretion.
Arch Oral Biol. 2003 Feb;48(2):147-54. doi: 10.1016/s0003-9969(02)00171-1.
5
Shear rate dependent viscoelastic behavior of human glandular salivas.
Biorheology. 1993 Mar-Apr;30(2):141-52. doi: 10.3233/bir-1993-30205.
7
A comparative study of lectin affinity based plant N-glycoproteome profiling using tomato fruit as a model.
Mol Cell Proteomics. 2014 Feb;13(2):566-79. doi: 10.1074/mcp.M113.028969. Epub 2013 Nov 6.
9
Combining results from lectin affinity chromatography and glycocapture approaches substantially improves the coverage of the glycoproteome.
Mol Cell Proteomics. 2009 Feb;8(2):287-301. doi: 10.1074/mcp.M800272-MCP200. Epub 2008 Oct 15.
10
Glycoproteomic Alterations in Drug-Resistant Nonsmall Cell Lung Cancer Cells Revealed by Lectin Magnetic Nanoprobe-Based Mass Spectrometry.
J Proteome Res. 2018 Nov 2;17(11):3761-3773. doi: 10.1021/acs.jproteome.8b00433. Epub 2018 Oct 17.

引用本文的文献

1
Aberrant Fucosylation of Saliva Glycoprotein Defining Lung Adenocarcinomas Malignancy.
ACS Omega. 2022 May 19;7(21):17894-17906. doi: 10.1021/acsomega.2c01193. eCollection 2022 May 31.
2
Abnormal sialylation and fucosylation of saliva glycoproteins: Characteristics of lung cancer-specific biomarkers.
Curr Res Pharmacol Drug Discov. 2021 Dec 20;3:100079. doi: 10.1016/j.crphar.2021.100079. eCollection 2022.
3
HBFP: a new repository for human body fluid proteome.
Database (Oxford). 2021 Oct 13;2021. doi: 10.1093/database/baab065.
4
Novel impacts of saliva with regard to oral health.
J Prosthet Dent. 2022 Mar;127(3):383-391. doi: 10.1016/j.prosdent.2021.05.009. Epub 2021 Jun 16.
6
Human body-fluid proteome: quantitative profiling and computational prediction.
Brief Bioinform. 2021 Jan 18;22(1):315-333. doi: 10.1093/bib/bbz160.
7
Salivary proteomics of healthy dogs: An in depth catalog.
PLoS One. 2018 Jan 12;13(1):e0191307. doi: 10.1371/journal.pone.0191307. eCollection 2018.
8
Construction and characterization of the Korean whole saliva proteome to determine ethnic differences in human saliva proteome.
PLoS One. 2017 Jul 24;12(7):e0181765. doi: 10.1371/journal.pone.0181765. eCollection 2017.
9
Mass spectrometry-based analyses showing the effects of secretor and blood group status on salivary N-glycosylation.
Clin Proteomics. 2015 Dec 30;12:29. doi: 10.1186/s12014-015-9100-y. eCollection 2015.

本文引用的文献

1
An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.
J Am Soc Mass Spectrom. 1994 Nov;5(11):976-89. doi: 10.1016/1044-0305(94)80016-2.
3
Large-scale phosphoproteomics analysis of whole saliva reveals a distinct phosphorylation pattern.
J Proteome Res. 2011 Apr 1;10(4):1728-36. doi: 10.1021/pr1010247. Epub 2011 Mar 1.
5
Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva.
J Proteome Res. 2011 Mar 4;10(3):1052-61. doi: 10.1021/pr100857t. Epub 2011 Jan 14.
6
Lectin microarray.
Proteomics Clin Appl. 2009 Feb;3(2):148-54. doi: 10.1002/prca.200800153.
8
Proteomics of saliva: personal experience.
Acta Otorhinolaryngol Ital. 2010 Jun;30(3):125-30.
9
A systematic approach to protein glycosylation analysis: a path through the maze.
Nat Chem Biol. 2010 Oct;6(10):713-23. doi: 10.1038/nchembio.437. Epub 2010 Sep 17.
10
Lectin-based glycoproteomic techniques for the enrichment and identification of potential biomarkers.
Methods Enzymol. 2010;480:461-76. doi: 10.1016/S0076-6879(10)80020-5.

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