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肺癌细胞系中磷酸化酪氨酸信号网络的分析

Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines.

作者信息

Broncel Malgorzata, Huang Paul H

机构信息

The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.

Division of Cancer Biology, The Institute of Cancer Research, London, UK.

出版信息

Methods Mol Biol. 2017;1636:253-262. doi: 10.1007/978-1-4939-7154-1_16.

Abstract

Robust isolation and identification of peptides phosphorylated at their tyrosine residues are key steps in deciphering complex signaling networks governed by protein tyrosine kinases, including kinases involved in oncogenesis. Phosphotyrosine (pY)-containing peptides are commonly isolated from cellular lysates by means of antibody and/or metal affinity-based enrichment followed by their identification by mass spectrometry. Herein, we describe robust two-stage isolation of phosphotyrosine peptides and mass spectrometry-aided identification of phosphosites to characterize basal signaling networks in unstimulated non-small cell lung cancer (NSCLC) cell lines.

摘要

对酪氨酸残基磷酸化的肽段进行可靠的分离和鉴定,是解析由蛋白酪氨酸激酶(包括参与肿瘤发生的激酶)调控的复杂信号网络的关键步骤。含磷酸酪氨酸(pY)的肽段通常通过基于抗体和/或金属亲和的富集方法从细胞裂解物中分离出来,随后通过质谱进行鉴定。在此,我们描述了磷酸酪氨酸肽段的可靠两阶段分离以及质谱辅助的磷酸化位点鉴定,以表征未受刺激的非小细胞肺癌(NSCLC)细胞系中的基础信号网络。

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