Proximity Labeling Proteomics Reveals Kv1.3 Potassium Channel Immune Interactors in Microglia.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2024-08-01 Epub Date: 2024-06-25 DOI:10.1016/j.mcpro.2024.100809
Christine A Bowen, Hai M Nguyen, Young Lin, Pritha Bagchi, Aditya Natu, Claudia Espinosa-Garcia, Erica Werner, Rashmi Kumari, Amanda Dabdab Brandelli, Prateek Kumar, Brendan R Tobin, Levi Wood, Victor Faundez, Heike Wulff, Nicholas T Seyfried, Srikant Rangaraju
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引用次数: 0

Abstract

Microglia are resident immune cells of the brain and regulate its inflammatory state. In neurodegenerative diseases, microglia transition from a homeostatic state to a state referred to as disease-associated microglia (DAM). DAM express higher levels of proinflammatory signaling molecules, like STAT1 and TLR2, and show transitions in mitochondrial activity toward a more glycolytic response. Inhibition of Kv1.3 decreases the proinflammatory signature of DAM, though how Kv1.3 influences the response is unknown. Our goal was to identify the potential proteins interacting with Kv1.3 during transition to DAM. We utilized TurboID, a biotin ligase, fused to Kv1.3 to evaluate potential interacting proteins with Kv1.3 via mass spectrometry in BV-2 microglia following TLR4-mediated activation. Electrophysiology, Western blotting, and flow cytometry were used to evaluate Kv1.3 channel presence and TurboID biotinylation activity. We hypothesized that Kv1.3 contains domain-specific interactors that vary during a TLR4-induced inflammatory response, some of which are dependent on the PDZ-binding domain on the C terminus. We determined that the N terminus of Kv1.3 is responsible for trafficking Kv1.3 to the cell surface and mitochondria (e.g., NUDC, TIMM50). Whereas, the C terminus interacts with immune signaling proteins in a lipopolysaccharide-induced inflammatory response (e.g., STAT1, TLR2, and C3). There are 70 proteins that rely on the C-terminal PDZ-binding domain to interact with Kv1.3 (e.g., ND3, Snx3, and Sun1). Furthermore, we used Kv1.3 blockade to verify functional coupling between Kv1.3 and interferon-mediated STAT1 activation. Overall, we highlight that the Kv1.3 potassium channel functions beyond conducting the outward flux of potassium ions in an inflammatory context and that Kv1.3 modulates the activity of key immune signaling proteins, such as STAT1 and C3.

接近标记蛋白质组学揭示了小胶质细胞中 Kv1.3 钾通道的免疫相互作用因子。
小胶质细胞是大脑的常驻免疫细胞,能调节大脑的炎症状态。在神经退行性疾病中,小胶质细胞会从平衡状态转变为疾病相关小胶质细胞(DAM)。DAM 表达更高水平的促炎症信号分子,如 STAT1 和 TLR2,并显示线粒体活性向更多的糖酵解反应转变。抑制 Kv1.3 可降低 DAM 的促炎特征,但 Kv1.3 如何影响反应尚不清楚。我们的目标是鉴定在向 DAM 过渡期间与 Kv1.3 相互作用的潜在蛋白质。我们利用与 Kv1.3 融合的生物素连接酶 TurboID,通过质谱分析评估了 TLR4 介导激活后 BV-2 小胶质细胞中与 Kv1.3 相互作用的潜在蛋白。电生理学、Western 印迹和流式细胞术被用来评估 Kv1.3 通道的存在和 TurboID 生物素化活性。我们假设 Kv1.3 含有在 TLR4 诱导的炎症反应期间变化的特异性相互作用域,其中一些相互作用域依赖于 C 端的 PDZ 结合域。我们确定 Kv1.3 的 N 端负责将 Kv1.3 移植到细胞表面和线粒体(如 NUDC、TIMM50)。而 C 端则在 LPS 诱导的炎症反应中与免疫信号蛋白(如 STAT1、TLR2 和 C3)相互作用。有 70 种蛋白质依靠 C 端 PDZ 结合域与 Kv1.3 相互作用(如 ND3、Snx3 和 Sun1)。此外,我们还利用 Kv1.3 阻断技术验证了 Kv1.3 与干扰素介导的 STAT1 激活之间的功能耦合。总之,我们强调,Kv1.3 钾通道在炎症环境中的功能不仅仅是传导钾离子外流,Kv1.3 还能调节 STAT1 和 C3 等关键免疫信号蛋白的活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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