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使用脂质微阵列探究脂质-蛋白质相互作用。

Probing lipid-protein interactions using lipid microarrays.

作者信息

Feng Li

机构信息

Echelon Biosciences Inc., 675 Arapeen Way, Suite 302, Salt Lake City, UT 84108-1257, USA.

出版信息

Prostaglandins Other Lipid Mediat. 2005 Sep;77(1-4):158-67. doi: 10.1016/j.prostaglandins.2004.09.003.

DOI:10.1016/j.prostaglandins.2004.09.003
PMID:16099400
Abstract

Lipids are central to the regulation and control of several cellular functions. They form many of the important structural features of cells, and are critical members of cellular signal transduction pathways. Cellular dysfunction is often caused by errors in lipid signaling; therefore, the proteins that interact with, synthesize or metabolize the lipids are potential therapeutic targets. Characterizing the contingent of cellular lipids and their abundance and how this is associated with disease will facilitate understanding how to intervene to correct diseases caused by dysfunctional lipid signaling. Since lipid-signaling networks involve several classes of proteins it is essential to determine the identity and role of these proteins in order to understand the networks. These proteins may be receptors, effectors, transporters or enzymes. We present tools, specifically, a lipid microarray platform, to uncover lipid-binding effector proteins that function in lipid signaling pathways. Lipid microarrays will allow researchers to obtain a comparable fingerprint of the proteins from a cell or tissue that bind to lipids, and also enable the identification of functionally important lipid-binding proteins. By applying a systematic approach to the quantification of lipid-protein interactions, lipid microarrays will provide an integrated knowledge base for the human lipidome. These tools have the potential to identify and validate targets to improve personalized medicine and health.

摘要

脂质对于多种细胞功能的调节和控制至关重要。它们构成了细胞的许多重要结构特征,并且是细胞信号转导途径的关键成员。细胞功能障碍通常由脂质信号传导错误引起;因此,与脂质相互作用、合成或代谢的蛋白质是潜在的治疗靶点。表征细胞脂质的组成及其丰度以及这与疾病的关联,将有助于理解如何进行干预以纠正由功能失调的脂质信号传导引起的疾病。由于脂质信号网络涉及几类蛋白质,因此确定这些蛋白质的身份和作用对于理解该网络至关重要。这些蛋白质可能是受体、效应器、转运蛋白或酶。我们展示了一些工具,具体而言,是一种脂质微阵列平台,以揭示在脂质信号通路中起作用的脂质结合效应蛋白。脂质微阵列将使研究人员能够获得来自与脂质结合的细胞或组织中蛋白质的可比指纹图谱,还能识别功能上重要的脂质结合蛋白。通过采用系统方法对脂质 - 蛋白质相互作用进行定量,脂质微阵列将为人类脂质组提供一个综合知识库。这些工具有可能识别和验证靶点,以改善个性化医疗和健康状况。

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Sensitivity of peripheral membrane proteins to the membrane context: A case study of phosphatidylserine and the TIM proteins.外周膜蛋白对膜环境的敏感性:以磷脂酰丝氨酸和 TIM 蛋白为例。
Biochim Biophys Acta Biomembr. 2018 Oct;1860(10):2126-2133. doi: 10.1016/j.bbamem.2018.06.010. Epub 2018 Jun 18.
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Protein microarrays: a new tool for the study of autoantibodies in immunodeficiency.蛋白质微阵列:一种用于研究免疫缺陷中自身抗体的新工具。
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Latest developments in experimental and computational approaches to characterize protein-lipid interactions.
实验和计算方法在蛋白质-脂质相互作用表征方面的最新进展。
Proteomics. 2012 Nov;12(22):3273-85. doi: 10.1002/pmic.201200255.