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γ-分泌酶抑制剂处理脑胶质瘤肿瘤干细胞的剂量依赖性蛋白质组学分析。

Dose-dependent proteomic analysis of glioblastoma cancer stem cells upon treatment with γ-secretase inhibitor.

机构信息

Program of Bioinformatics, University of Michigan Medical Center, Ann Arbor, MI 48109-0650, USA.

出版信息

Proteomics. 2011 Dec;11(23):4529-40. doi: 10.1002/pmic.201000730. Epub 2011 Oct 24.

Abstract

Notch signaling has been demonstrated to have a central role in glioblastoma (GBM) cancer stem cells (CSCs) and we have demonstrated recently that Notch pathway blockade by γ-secretase inhibitor (GSI) depletes GBM CSCs and prevents tumor propagation both in vitro and in vivo. In order to understand the proteome alterations involved in this transformation, a dose-dependent quantitative mass spectrometry (MS)-based proteomic study has been performed based on the global proteome profiling and a target verification phase where both Immunoassay and a multiple reaction monitoring (MRM) assay are employed. The selection of putative protein candidates for confirmation poses a challenge due to the large number of identifications from the discovery phase. A multilevel filtering strategy together with literature mining is adopted to transmit the most confident candidates along the pipeline. Our results indicate that treating GBM CSCs with GSI induces a phenotype transformation towards non-tumorigenic cells with decreased proliferation and increased differentiation, as well as elevated apoptosis. Suppressed glucose metabolism and attenuated NFR2-mediated oxidative stress response are also suggested from our data, possibly due to their crosstalk with Notch Signaling. Overall, this quantitative proteomic-based dose-dependent work complements our current understanding of the altered signaling events occurring upon the treatment of GSI in GBM CSCs.

摘要

Notch 信号通路被证明在胶质母细胞瘤(GBM)癌症干细胞(CSC)中具有核心作用,我们最近已经证明,通过 γ-分泌酶抑制剂(GSI)阻断 Notch 通路可以耗尽 GBM CSC,并在体外和体内阻止肿瘤的增殖。为了了解涉及这种转化的蛋白质组变化,我们进行了基于全局蛋白质组谱的剂量依赖性定量质谱(MS)蛋白质组学研究,以及免疫测定和多重反应监测(MRM)测定的目标验证阶段。由于发现阶段的鉴定数量众多,因此选择用于确认的假定蛋白质候选物具有挑战性。我们采用多级过滤策略和文献挖掘来沿管道传递最可信的候选物。我们的结果表明,用 GSI 处理 GBM CSC 会诱导向非致瘤细胞的表型转化,表现为增殖减少、分化增加以及凋亡增加。我们的数据还表明,葡萄糖代谢受到抑制,NFR2 介导的氧化应激反应减弱,这可能是由于它们与 Notch 信号通路的相互作用。总的来说,这项基于定量蛋白质组学的剂量依赖性工作补充了我们目前对 GSI 处理 GBM CSC 时发生的信号事件变化的理解。

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