Suppr超能文献

新兴的脂质-蛋白相互作用研究方法。

Emerging methodologies to investigate lipid-protein interactions.

机构信息

Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA.

出版信息

Integr Biol (Camb). 2012 Mar;4(3):247-58. doi: 10.1039/c2ib00143h. Epub 2012 Feb 10.

Abstract

Cellular membranes are composed of hundreds of different lipids, ion channels, receptors and scaffolding complexes that act as signalling and trafficking platforms for processes fundamental to life. Cellular signalling and membrane trafficking are often regulated by peripheral proteins, which reversibly interact with lipid molecules in highly regulated spatial and temporal fashions. In most cases, one or more modular lipid-binding domain(s) mediate recruitment of peripheral proteins to specific cellular membranes. These domains, of which more than 10 have been identified since 1989, harbour structurally selective lipid-binding sites. Traditional in vitro and in vivo studies have elucidated how these domains coordinate their cognate lipids and thus how the parent proteins associate with membranes. Cellular activities of peripheral proteins and subsequent physiological processes depend upon lipid binding affinities and selectivity. Thus, the development of novel sensitive and quantitative tools is essential in furthering our understanding of the function and regulation of these proteins. As this field expands into new areas such as computational biology, cellular lipid mapping, single molecule imaging, and lipidomics, there is an urgent need to integrate technologies to detail the molecular architecture and mechanisms of lipid signalling. This review surveys emerging cellular and in vitro approaches for studying protein-lipid interactions and provides perspective on how integration of methodologies directs the future development of the field.

摘要

细胞膜由数百种不同的脂质、离子通道、受体和支架复合物组成,这些物质作为信号转导和运输平台,对生命的基本过程起着至关重要的作用。细胞信号转导和膜运输通常受到外周蛋白的调节,这些蛋白以高度调控的时空方式可逆地与脂质分子相互作用。在大多数情况下,一个或多个模块化脂质结合域介导外周蛋白与特定细胞膜的募集。自 1989 年以来,已经确定了 10 多个这些结构域,它们都含有结构选择性的脂质结合位点。传统的体外和体内研究已经阐明了这些结构域如何协调其同源脂质,以及亲本蛋白如何与膜结合。外周蛋白的细胞活性和随后的生理过程依赖于脂质结合亲和力和选择性。因此,开发新的灵敏和定量工具对于进一步了解这些蛋白质的功能和调节至关重要。随着该领域扩展到计算生物学、细胞脂质图谱、单分子成像和脂质组学等新领域,迫切需要整合技术来详细描述脂质信号转导的分子结构和机制。本文综述了用于研究蛋白-脂质相互作用的新兴细胞和体外方法,并就整合方法如何指导该领域的未来发展提供了一些见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49bb/3722868/2a00a8de2d4a/nihms491088f1.jpg

相似文献

1
Emerging methodologies to investigate lipid-protein interactions.新兴的脂质-蛋白相互作用研究方法。
Integr Biol (Camb). 2012 Mar;4(3):247-58. doi: 10.1039/c2ib00143h. Epub 2012 Feb 10.
3
Microscopic view of lipids and their diverse biological functions.脂质的微观结构及其多样化的生物学功能。
Curr Opin Struct Biol. 2018 Aug;51:177-186. doi: 10.1016/j.sbi.2018.07.003. Epub 2018 Jul 23.
4
Emerging Diversity in Lipid-Protein Interactions.脂质-蛋白质相互作用的新多样性。
Chem Rev. 2019 May 8;119(9):5775-5848. doi: 10.1021/acs.chemrev.8b00451. Epub 2019 Feb 13.
6
Thermosensing via transmembrane protein-lipid interactions.通过跨膜蛋白-脂质相互作用进行温度传感。
Biochim Biophys Acta. 2015 Sep;1848(9):1757-64. doi: 10.1016/j.bbamem.2015.04.005. Epub 2015 Apr 20.
7
Organizing membrane-curving proteins: the emerging dynamical picture.组织膜弯曲蛋白:新兴的动力学图景。
Curr Opin Struct Biol. 2018 Aug;51:99-105. doi: 10.1016/j.sbi.2018.03.018. Epub 2018 Mar 30.
8
The impact of peptides on lipid membranes.肽对脂质膜的影响。
Biochim Biophys Acta. 2008 Jul-Aug;1778(7-8):1528-36. doi: 10.1016/j.bbamem.2008.02.009. Epub 2008 Mar 2.
10
Biophysics of protein-lipid interactions.蛋白质-脂质相互作用的生物物理学。
Biophys J. 2024 Jul 16;123(14):1912-1914. doi: 10.1016/j.bpj.2023.10.004. Epub 2023 Oct 14.

引用本文的文献

3
YPIBP: A repository for phosphoinositide-binding proteins in yeast.YPIBP:酵母中磷酸肌醇结合蛋白的储存库。
Comput Struct Biotechnol J. 2021 Jun 24;19:3692-3707. doi: 10.1016/j.csbj.2021.06.035. eCollection 2021.

本文引用的文献

10
Sphingosine 1-phosphate in coagulation and inflammation.鞘氨醇 1-磷酸在凝血和炎症中的作用。
Semin Immunopathol. 2012 Jan;34(1):73-91. doi: 10.1007/s00281-011-0287-3. Epub 2011 Jul 31.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验