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定量磷酸化蛋白质组学揭示激酶抑制剂对信号网络的全局影响。

Global effects of kinase inhibitors on signaling networks revealed by quantitative phosphoproteomics.

机构信息

Department of Proteomics and Signal Transduction, Max Planck Institute for Biochemistry, Am Klopferspitz 18, D-82152 Martinsried near Munich, Germany.

出版信息

Mol Cell Proteomics. 2009 Dec;8(12):2796-808. doi: 10.1074/mcp.M900285-MCP200. Epub 2009 Aug 3.

Abstract

Aberrant signaling causes many diseases, and manipulating signaling pathways with kinase inhibitors has emerged as a promising area of drug research. Most kinase inhibitors target the conserved ATP-binding pocket; therefore specificity is a major concern. Proteomics has previously been used to identify the direct targets of kinase inhibitors upon affinity purification from cellular extracts. Here we introduce a complementary approach to evaluate the effects of kinase inhibitors on the entire cell signaling network. We used triple labeling SILAC (stable isotope labeling by amino acids in cell culture) to compare cellular phosphorylation levels for control, epidermal growth factor stimulus, and growth factor combined with kinase inhibitors. Of thousands of phosphopeptides, less than 10% had a response pattern indicative of targets of U0126 and SB202190, two widely used MAPK inhibitors. Interestingly, 83% of the growth factor-induced phosphorylation events were affected by either or both inhibitors, showing quantitatively that early signaling processes are predominantly transmitted through the MAPK cascades. In contrast to MAPK inhibitors, dasatinib, a clinical drug directed against BCR-ABL, which is the cause of chronic myelogenous leukemia, affected nearly 1,000 phosphopeptides. In addition to the proximal effects on ABL and its immediate targets, dasatinib broadly affected the downstream MAPK pathways. Pathway mapping of regulated sites implicated a variety of cellular functions, such as chromosome remodeling, RNA splicing, and cytoskeletal organization, some of which have been described in the literature before. Our assay is streamlined and generic and could become a useful tool in kinase drug development.

摘要

异常信号导致许多疾病,而利用激酶抑制剂来调节信号通路已成为药物研究的一个有前途的领域。大多数激酶抑制剂的作用靶点是保守的 ATP 结合口袋,因此特异性是一个主要关注点。蛋白质组学以前曾被用于通过细胞提取物的亲和纯化来鉴定激酶抑制剂的直接靶标。在这里,我们介绍了一种互补的方法来评估激酶抑制剂对整个细胞信号网络的影响。我们使用三重标记 SILAC(稳定同位素标记的氨基酸在细胞培养中)来比较对照、表皮生长因子刺激和生长因子与激酶抑制剂联合作用下的细胞磷酸化水平。在数千个磷酸肽中,不到 10% 的磷酸肽具有指示 U0126 和 SB202190(两种广泛使用的 MAPK 抑制剂)靶标的反应模式。有趣的是,83%的生长因子诱导的磷酸化事件受到一种或两种抑制剂的影响,这表明早期信号转导过程主要通过 MAPK 级联传递。与 MAPK 抑制剂相反,达沙替尼是一种针对 BCR-ABL 的临床药物,BCR-ABL 是慢性髓性白血病的病因,它影响了近 1000 个磷酸肽。除了对 ABL 及其直接靶标的近端影响外,达沙替尼还广泛影响下游的 MAPK 途径。受调控位点的途径映射涉及多种细胞功能,如染色体重塑、RNA 剪接和细胞骨架组织,其中一些以前在文献中已有描述。我们的测定方法简化且通用,可能成为激酶药物开发的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/417e/2816010/432ae9fe361a/zjw0120934960001.jpg

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