基于微阵列的复杂生物系统磷酸化蛋白质组学分析。

Microarray-Based Phospho-Proteomic Profiling of Complex Biological Systems.

机构信息

Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Hugo W. Moser Research Institute at Kennedy Krieger, Baltimore, MD, USA.

Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.

出版信息

Transl Oncol. 2016 Apr;9(2):124-129. doi: 10.1016/j.tranon.2016.02.001.

DOI:10.1016/j.tranon.2016.02.001

PMID:27084428

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4833893/

Abstract

Protein microarray technology has been successfully used for identifying substrates of purified activated kinases. We used protein microarrays to globally interrogate the effects of PTEN and Akt activity on the phospho-kinome of in vitro and in vivo glioma models and validated results in clinical pathological specimens. Whole cell lysates extracted from tumor samples can be applied to human kinome chip microarrays to profile the global kinase phosphorylation patterns in a high-throughput manner and identify novel substrates inherent to the tumor cell and the interactions with tumor microenvironment. Our findings identify a novel microarray-based method for assessing intracellular signaling events applicable to human oncogenesis and other pathophysiologic states.

摘要

蛋白质微阵列技术已成功用于鉴定已纯化激活激酶的底物。我们使用蛋白质微阵列来全面研究 PTEN 和 Akt 活性对体外和体内神经胶质瘤模型磷酸激酶组的影响，并在临床病理标本中验证了结果。从肿瘤样本中提取的全细胞裂解物可应用于人类激酶组芯片微阵列，以高通量方式描绘全局激酶磷酸化模式，并鉴定肿瘤细胞固有的新底物以及与肿瘤微环境的相互作用。我们的研究结果确定了一种新的基于微阵列的方法，用于评估适用于人类肿瘤发生和其他病理生理状态的细胞内信号事件。