首页> 外文期刊>Proteomics >Combining Phosphoproteomics Datasets and Literature Information to Reveal the Functional Connections in a Cell Phosphorylation Network
【24h】

Combining Phosphoproteomics Datasets and Literature Information to Reveal the Functional Connections in a Cell Phosphorylation Network

机译:结合磷蛋白酶数据集和文献信息,揭示细胞磷酸化网络中的功能连接

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Abstract Protein phosphorylation modulates many biological processes. However, the characterization of the complex regulatory circuits underlying cell response to external and internal stimuli is still limited by our inability to describe the phosphorylation network on a global scale. Modern MS‐based phosphoproteomics allows monitoring tens of thousands of phosphorylation sites in multiple conditions, making the approach ideal to explore signaling pathways mediated by phosphorylation. Here, we review recent advances in phosphoproteomics and discuss some of the computational approaches developed to facilitate extraction of signaling information from these datasets. Finally, this review focuses on approaches that integrate prior literature information with unbiased phosphoproteomics experiments.
机译:摘要蛋白质磷酸化调节许多生物过程。 然而,对外部和内部刺激的细胞响应的复杂调节电路的表征仍然受到我们无法在全球范围内描述磷酸化网络的限制。 现代MS基磷酸膜允许在多种条件下监测数万种磷酸化位点,使得采用理想的方法探索通过磷酸化介导的信号通路。 在这里,我们审查了最近磷蛋白酶的进展,并讨论了开发的一些计算方法,以便于从这些数据集中提取信令信息。 最后,本综述重点介绍与未偏心的磷蛋白质实验相结合的方法。

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