Suppr超能文献

整合膜蛋白:自下而上、自上而下和结构蛋白质组学

Integral membrane proteins: bottom-up, top-down and structural proteomics.

作者信息

Kar Upendra K, Simonian Margaret, Whitelegge Julian P

机构信息

a Department of Pharmaceutical Sciences, College of Pharmacy , University of Arkansas for Medical Sciences , Little Rock , AR , USA.

b NPI-Semel Institute , University of California Los Angeles , Los Angeles , CA , USA.

出版信息

Expert Rev Proteomics. 2017 Aug;14(8):715-723. doi: 10.1080/14789450.2017.1359545. Epub 2017 Jul 31.

Abstract

Integral membrane proteins and lipids constitute the bilayer membranes that surround cells and sub-cellular compartments, and modulate movements of molecules and information between them. Since membrane protein drug targets represent a disproportionately large segment of the proteome, technical developments need timely review. Areas covered: Publically available resources such as Pubmed were surveyed. Bottom-up proteomics analyses now allow efficient extraction and digestion such that membrane protein coverage is essentially complete, making up around one third of the proteome. However, this coverage relies upon hydrophilic loop regions while transmembrane domains are generally poorly covered in peptide-based strategies. Top-down mass spectrometry where the intact membrane protein is fragmented in the gas phase gives good coverage in transmembrane regions, and membrane fractions are yielding to high-throughput top-down proteomics. Exciting progress in native mass spectrometry of membrane protein complexes is providing insights into subunit stoichiometry and lipid binding, and cross-linking strategies are contributing critical in-vivo information. Expert commentary: It is clear from the literature that integral membrane proteins have yielded to advanced techniques in protein chemistry and mass spectrometry, with applications limited only by the imagination of investigators. Key advances toward translation to the clinic are emphasized.

摘要

整合膜蛋白和脂质构成了围绕细胞和亚细胞区室的双层膜,并调节分子在它们之间的移动以及信息传递。由于膜蛋白药物靶点在蛋白质组中所占比例极大,因此技术发展需要及时回顾。涵盖领域:对诸如PubMed等公开可用资源进行了调研。自下而上的蛋白质组学分析现在能够实现高效提取和消化,从而使膜蛋白覆盖率基本完整,约占蛋白质组的三分之一。然而,这种覆盖率依赖于亲水性环区,而基于肽的策略中跨膜结构域通常覆盖不佳。自上而下的质谱分析,即完整的膜蛋白在气相中裂解,在跨膜区域有良好的覆盖率,并且膜组分正适用于高通量自上而下的蛋白质组学。膜蛋白复合物的天然质谱分析取得了令人兴奋的进展,为亚基化学计量和脂质结合提供了见解,交联策略也在提供关键的体内信息。专家评论:从文献中可以清楚地看出,整合膜蛋白已适用于蛋白质化学和质谱分析中的先进技术,其应用仅受研究人员想象力的限制。文中强调了向临床转化的关键进展。

相似文献

1
Integral membrane proteins: bottom-up, top-down and structural proteomics.
Expert Rev Proteomics. 2017 Aug;14(8):715-723. doi: 10.1080/14789450.2017.1359545. Epub 2017 Jul 31.
2
Sequencing covalent modifications of membrane proteins.
J Exp Bot. 2006;57(7):1515-22. doi: 10.1093/jxb/erj163. Epub 2006 Mar 30.
3
Full Membrane Protein Coverage Digestion and Quantitative Bottom-Up Mass Spectrometry Proteomics.
Methods Mol Biol. 2017;1550:61-67. doi: 10.1007/978-1-4939-6747-6_6.
4
Top-down mass spectrometry of integral membrane proteins.
Expert Rev Proteomics. 2006 Dec;3(6):585-96. doi: 10.1586/14789450.3.6.585.
6
Integral membrane proteins and bilayer proteomics.
Anal Chem. 2013 Mar 5;85(5):2558-68. doi: 10.1021/ac303064a. Epub 2013 Feb 19.
7
Top-Down Mass Spectrometry: Proteomics to Proteoforms.
Adv Exp Med Biol. 2016;919:171-200. doi: 10.1007/978-3-319-41448-5_8.
8
Improved membrane proteomics coverage of human embryonic stem cells by peptide IPG-IEF.
J Proteome Res. 2009 Dec;8(12):5642-9. doi: 10.1021/pr900597s.
9
Nanodiscs and SILAC-based mass spectrometry to identify a membrane protein interactome.
J Proteome Res. 2012 Feb 3;11(2):1454-9. doi: 10.1021/pr200846y. Epub 2011 Dec 22.
10
Universal Solid-Phase Protein Preparation (USP) for Bottom-up and Top-down Proteomics.
J Proteome Res. 2019 Jul 5;18(7):2915-2924. doi: 10.1021/acs.jproteome.9b00217. Epub 2019 Jun 10.

引用本文的文献

1
Topology-driven discovery of transmembrane protein S-palmitoylation.
J Biol Chem. 2025 Mar;301(3):108259. doi: 10.1016/j.jbc.2025.108259. Epub 2025 Feb 3.
2
Topology-Driven Discovery of Transmembrane Protein -Palmitoylation.
bioRxiv. 2024 Sep 8:2024.09.08.611865. doi: 10.1101/2024.09.08.611865.
3
Exosomal Proteomics: Unveiling Novel Insights into Lung Cancer.
Aging Dis. 2024 Apr 9;16(2):876-900. doi: 10.14336/AD.2024.0409.
6
Capillary Zone Electrophoresis-Tandem Mass Spectrometry for Top-Down Proteomics of Mouse Brain Integral Membrane Proteins.
Anal Chem. 2023 Aug 29;95(34):12590-12594. doi: 10.1021/acs.analchem.3c02346. Epub 2023 Aug 18.
7
Current Methods for Identifying Plasma Membrane Proteins as Cancer Biomarkers.
Membranes (Basel). 2023 Apr 5;13(4):409. doi: 10.3390/membranes13040409.
8
Perspective on the Effect of Membrane Mimetics on Dynamic Properties of Integral Membrane Proteins.
J Phys Chem B. 2023 May 4;127(17):3757-3765. doi: 10.1021/acs.jpcb.2c07324. Epub 2023 Apr 20.
10
Mass spectrometry-based retina proteomics.
Mass Spectrom Rev. 2023 May;42(3):1032-1062. doi: 10.1002/mas.21786. Epub 2022 Jun 6.

本文引用的文献

1
Surface induced dissociation as a tool to study membrane protein complexes.
Chem Commun (Camb). 2017 Mar 9;53(21):3106-3109. doi: 10.1039/c6cc09606a.
2
Conformational dynamics of a neurotransmitter:sodium symporter in a lipid bilayer.
Proc Natl Acad Sci U S A. 2017 Mar 7;114(10):E1786-E1795. doi: 10.1073/pnas.1613293114. Epub 2017 Feb 21.
3
Decoding of O-Linked Glycosylation by Mass Spectrometry.
Biochemistry. 2017 Mar 7;56(9):1218-1226. doi: 10.1021/acs.biochem.6b01244. Epub 2017 Feb 27.
4
5
Full Membrane Protein Coverage Digestion and Quantitative Bottom-Up Mass Spectrometry Proteomics.
Methods Mol Biol. 2017;1550:61-67. doi: 10.1007/978-1-4939-6747-6_6.
6
The role of interfacial lipids in stabilizing membrane protein oligomers.
Nature. 2017 Jan 19;541(7637):421-424. doi: 10.1038/nature20820. Epub 2017 Jan 11.
9
Chemical Glycoproteomics.
Chem Rev. 2016 Dec 14;116(23):14277-14306. doi: 10.1021/acs.chemrev.6b00023. Epub 2016 Nov 18.
10
Fast Photochemical Oxidation of Proteins Maps the Topology of Intrinsic Membrane Proteins: Light-Harvesting Complex 2 in a Nanodisc.
Anal Chem. 2016 Sep 6;88(17):8827-34. doi: 10.1021/acs.analchem.6b01945. Epub 2016 Aug 16.

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