蛋白质组学和磷酸化蛋白质组学揭示了肝纤维化的激酶失调和潜在的治疗方法。

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Xinyu Cheng, Li Kang, Jinfang Liu, Qingye Wang, Zhenpeng Zhang, Li Zhang, Yuping Xie, Lei Chang, Daobing Zeng, Lantian Tian, Lingqiang Zhang, Ping Xu, Yanchang Li
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引用次数: 0

摘要

肝纤维化是大多数肝脏疾病的初始阶段,也是许多代谢性疾病晚期涉及肝脏的病理过程。因此,系统地了解肝纤维化的病理机制,寻求干预和治疗肝纤维化的治疗途径具有重要意义。蛋白质紊乱及其翻译后修饰,如磷酸化,在肝纤维化的发生和发展中起着至关重要的作用。然而,管理这一过程的监管机制仍然知之甚少。本研究对ccl4诱导的小鼠早期肝纤维化模型的肝脏蛋白质组和磷酸化蛋白质组进行了分析和定量。蛋白质组学分析显示,参与细胞外基质(extracellular matrix, ECM)重组、胶原形成、代谢等相关疾病的通路以及蛋白质磷酸化修饰通路也显著丰富。此外,western blotting和磷酸化蛋白质组学表明,在肝纤维化的情况下,磷酸化水平升高。共鉴定出13152个磷位点,其中增加952个,减少156个。此外,在蛋白质组水平上没有变化的上调磷酸化位点主要共享一个共同的[xxxSPxxx]基序。因此,激酶-底物分析确定了这些上调底物的过度活跃激酶,最终确定了该数据集中13个显著改变的激酶。这些激酶主要分为STE、CMGC和CAMK激酶家族。其中,STK4、GSK3α和CDK11B随后通过细胞和动物实验验证,结果表明它们的抑制剂可以有效降低肝星状细胞的活化和ECM的产生。这些激酶可能是肝纤维化的潜在治疗靶点,它们的抑制剂可能是有前途的抗肝纤维化药物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteomics and phosphoproteomics revealed dysregulated kinases and potential therapy for liver fibrosis.

Liver fibrosis is the initial stage of most liver diseases, and it is also a pathological process involving the liver in the late stages of many metabolic diseases. Therefore, it is important to systematically understand the pathological mechanism of liver fibrosis and seek therapeutic approaches for intervention and treatment of liver fibrosis. Disordered proteins and their post-translational modifications, such as phosphorylation, play vital roles in the occurrence and development of liver fibrosis. However, the regulatory mechanisms that govern this process remain poorly understood. In this study, we analyzed and quantified the liver proteome and phosphoproteome of CCl4-induced early liver fibrosis model in mice. Proteomic analysis revealed that the pathways involved in extracellular matrix (ECM) recombination, collagen formation, metabolism and other related disorders, and protein phosphorylation modification pathways were also significantly enriched. In addition, western blotting and phosphoproteomics demonstrated that phosphorylation levels were elevated in the context of liver fibrosis. A total of 13,152 phosphosites were identified, with 952 sites increased while only 156 ones decreased. Furthermore, the upregulated phosphorylation sites, which exhibited no change at the proteome level mainly shared a common [xxxSPxxx] motif. Consequently, the kinases-substrates analysis ascertained the overactive kinases of these up-regulated substrates, which ultimately led to the identification of 13 significantly altered kinases within this dataset. These kinases were mainly catalogued into the STE, CMGC, and CAMK kinase families. Among them, STK4, GSK3α and CDK11B were subsequently validated though cellular and animal experiments, and the results demonstrated that their inhibitors could effectively reduce the activation of hepatic stellate cells and ECM production. These kinases may represent potential therapeutic targets for liver fibrosis, and their inhibitors may serve as promising anti- hepatic fibrosis drugs.

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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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