首页> 外文期刊>Molecular & cellular proteomics: MCP >A High-throughput Quantitative Multiplex Kinase Assay for Monitoring Information Flow in Signaling Networks: Application to Sepsis-Apoptosis
【24h】

A High-throughput Quantitative Multiplex Kinase Assay for Monitoring Information Flow in Signaling Networks: Application to Sepsis-Apoptosis

机译:一种高通量定量多重激酶检测方法,用于监测信号网络中的信息流:在败血症凋亡中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

To treat complex human diseases effectively, a systems-level approach is needed to understand the interplay of environmental cues, intracellular signals, and cellular behaviors that underlie disease states. This approach requires high-throughput, multiplex techniques that measure quantitative temporal variations of multiple protein activities in the intracellular signaling network. Here, we describe a single microtiter-based format that simultaneously quantifies protein kinase activities in the phosphatidylinositol 3-kinase pathway (Akt), nuclear factor-B pathway (IKK), and three core mitogen-activated protein kinase pathways (ERK, JNK1, MK2). These parallel high-throughput assays are stringently linear, redundantly specific, reproducible, and sensitive compared with classical low-throughput techniques. When applied to a model of sepsis-induced colon epithelial apoptosis, this approach identified a late phase of Akt activity as a critical mediator of cell survival that quantitatively contributed to the efficacy of insulin as an anti-apoptotic cue. Thus, sampling parallel nodes in the intracellular signaling network identified part of the molecular mechanism underlying the efficacy of insulin in the treatment of human sepsis.
机译:为了有效地治疗复杂的人类疾病,需要一种系统级的方法来了解环境提示,细胞内信号以及构成疾病状态的细胞行为之间的相互作用。这种方法需要高通量的多重技术,该技术可测量细胞内信号网络中多种蛋白质活性的定量时间变化。在这里,我们描述了一种基于微量滴定的格式,该格式可以同时量化磷脂酰肌醇3激酶途径(Akt),核因子B途径(IKK)和三个核心促丝裂原活化蛋白激酶途径(ERK,JNK1, MK2)。与经典的低通量技术相比,这些平行的高通量分析具有严格的线性,冗余特异性,可重复性和灵敏性。当应用于脓毒症诱导的结肠上皮细胞凋亡模型时,该方法确定了Akt活性的晚期阶段是细胞存活的关键介质,其定量地有助于胰岛素作为抗凋亡线索的功效。因此,对细胞内信号网络中的平行结点进行采样,可以确定胰岛素治疗人类败血症疗效的部分分子机制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号