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定量互作蛋白质组学鉴定 GABA 受体的蛋白质稳态网络。

Quantitative interactome proteomics identifies a proteostasis network for GABA receptors.

机构信息

Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA; Center for Proteomics and Bioinformatics, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.

Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.

出版信息

J Biol Chem. 2022 Oct;298(10):102423. doi: 10.1016/j.jbc.2022.102423. Epub 2022 Aug 27.

Abstract

Gamma-aminobutyric acid type A (GABA) receptors are the primary inhibitory neurotransmitter-gated ion channels in the mammalian central nervous system. Maintenance of GABA receptor protein homeostasis (proteostasis) in cells utilizing its interacting proteins is essential for the function of GABA receptors. However, how the proteostasis network orchestrates GABA receptor biogenesis in the endoplasmic reticulum is not well understood. Here, we employed a proteomics-based approach to systematically identify the interactomes of GABA receptors. We carried out a quantitative immunoprecipitation-tandem mass spectrometry analysis utilizing stable isotope labeling by amino acids in cell culture. Furthermore, we performed comparative proteomics by using both WT α1 subunit and a misfolding-prone α1 subunit carrying the A322D variant as the bait proteins. We identified 125 interactors for WT α1-containing receptors, 105 proteins for α1(A322D)-containing receptors, and 54 overlapping proteins within these two interactomes. Our bioinformatics analysis identified potential GABA receptor proteostasis network components, including chaperones, folding enzymes, trafficking factors, and degradation factors, and we assembled a model of their potential involvement in the cellular folding, degradation, and trafficking pathways for GABA receptors. In addition, we verified endogenous interactions between α1 subunits and selected interactors by using coimmunoprecipitation in mouse brain homogenates. Moreover, we showed that TRIM21 (tripartite motif containing-21), an E3 ubiquitin ligase, positively regulated the degradation of misfolding-prone α1(A322D) subunits selectively. This study paves the way for understanding the molecular mechanisms as well as fine-tuning of GABA receptor proteostasis to ameliorate related neurological diseases such as epilepsy.

摘要

γ-氨基丁酸 A 型 (GABA) 受体是哺乳动物中枢神经系统中主要的抑制性神经递质门控离子通道。利用其相互作用蛋白维持 GABA 受体蛋白的内环境稳定(蛋白稳态)对于 GABA 受体的功能至关重要。然而,内质网中蛋白稳态网络如何协调 GABA 受体的生物发生还不是很清楚。在这里,我们采用基于蛋白质组学的方法来系统地鉴定 GABA 受体的相互作用组。我们利用细胞培养中的稳定同位素标记氨基酸进行了定量免疫沉淀-串联质谱分析。此外,我们使用 WT α1 亚基和携带 A322D 变异的易出错构象的 α1 亚基作为诱饵蛋白进行了比较蛋白质组学分析。我们鉴定了 WT α1 包含的受体的 125 个相互作用蛋白,α1(A322D)包含的受体的 105 个蛋白,以及这两个相互作用组中的 54 个重叠蛋白。我们的生物信息学分析确定了潜在的 GABA 受体蛋白稳态网络成分,包括伴侣蛋白、折叠酶、运输因子和降解因子,并组装了它们在 GABA 受体细胞折叠、降解和运输途径中潜在参与的模型。此外,我们通过使用小鼠脑匀浆中的共免疫沉淀验证了 α1 亚基和选定的相互作用蛋白之间的内源性相互作用。此外,我们还表明,E3 泛素连接酶 TRIM21(三部分基序含有 21 个氨基酸)选择性地上调易出错构象的 α1(A322D)亚基的降解。这项研究为理解 GABA 受体蛋白稳态的分子机制以及微调以改善相关神经疾病(如癫痫)铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a603/9493394/1f6cdc8b9840/gr1.jpg

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