在多细胞体外球形模型中使用 TurboID 进行缺氧条件下的冰周特异性分泌组轮廓分析

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2024-06-01 Epub Date: 2024-05-04 DOI:10.1016/j.mcpro.2024.100782
Andreas Enström, Robert Carlsson, Carolina Buizza, Marvel Lewi, Gesine Paul
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引用次数: 0

摘要

大脑内的细胞通讯对于维持体内平衡和对缺氧等病理诱因做出有效反应至关重要。然而,对分泌分子的精确组成和动态释放的全面了解仍然遥不可及,主要局限于使用分离的单培养物进行研究。为了克服这些局限性,我们利用 TurboID(一种无毒的生物素连接酶)的潜力,捕获并富集了与人内皮细胞和星形胶质细胞共同培养的球状体中特异性来源于人脑周细胞的分泌蛋白。通过这种方法,我们可以在更贴近生理的多细胞环境(包括血脑屏障(BBB)的组成成分)中确定包膜分泌组的特征。通过质谱法和多重免疫测定相结合的方法,我们鉴定出了周细胞分泌的多种不同蛋白质。我们的研究结果表明,周细胞的分泌组在很大程度上是由它们与其他驻留在 BBB 的细胞之间的细胞间交流形成的。此外,我们还发现缺氧和正常缺氧周细胞的分泌谱存在很大差异。质谱分析表明,共培养的缺氧周细胞会增加与蛋白质分泌、mTOR 信号传导和补体系统有关的信号释放,而单培养的缺氧周细胞则会上调增殖通路,包括 G2M 检查点、E2F 和 Myc 靶点。此外,缺氧性周细胞显示出血管生成蛋白(如 VEGFA)的上调,但却显示出典型促炎细胞因子(如 CXCL1、MCP-1 和 CXCL6)的下调。了解多细胞脑微血管中分泌蛋白的具体组成对于增进我们对脑稳态和病理机制的了解至关重要。这项研究对于确定旨在调节与缺氧相关的脑部病变中微血管信号的靶向治疗策略具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pericyte-Specific Secretome Profiling in Hypoxia Using TurboID in a Multicellular in Vitro Spheroid Model.

Cellular communication within the brain is imperative for maintaining homeostasis and mounting effective responses to pathological triggers like hypoxia. However, a comprehensive understanding of the precise composition and dynamic release of secreted molecules has remained elusive, confined primarily to investigations using isolated monocultures. To overcome these limitations, we utilized the potential of TurboID, a non-toxic biotin ligation enzyme, to capture and enrich secreted proteins specifically originating from human brain pericytes in spheroid cocultures with human endothelial cells and astrocytes. This approach allowed us to characterize the pericyte secretome within a more physiologically relevant multicellular setting encompassing the constituents of the blood-brain barrier. Through a combination of mass spectrometry and multiplex immunoassays, we identified a wide spectrum of different secreted proteins by pericytes. Our findings demonstrate that the pericytes secretome is profoundly shaped by their intercellular communication with other blood-brain barrier-residing cells. Moreover, we identified substantial differences in the secretory profiles between hypoxic and normoxic pericytes. Mass spectrometry analysis showed that hypoxic pericytes in coculture increase their release of signals related to protein secretion, mTOR signaling, and the complement system, while hypoxic pericytes in monocultures showed an upregulation in proliferative pathways including G2M checkpoints, E2F-, and Myc-targets. In addition, hypoxic pericytes show an upregulation of proangiogenic proteins such as VEGFA but display downregulation of canonical proinflammatory cytokines such as CXCL1, MCP-1, and CXCL6. Understanding the specific composition of secreted proteins in the multicellular brain microvasculature is crucial for advancing our knowledge of brain homeostasis and the mechanisms underlying pathology. This study has implications for the identification of targeted therapeutic strategies aimed at modulating microvascular signaling in brain pathologies associated with hypoxia.

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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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