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致癌突变通过将蛋白募集到磷酸酪氨酸位点来重新布线信号通路。

Oncogenic Mutations Rewire Signaling Pathways by Switching Protein Recruitment to Phosphotyrosine Sites.

机构信息

Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Faculty of Health and Medical Sciences, Blegdamsvej 3b, DK-2200 Copenhagen, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Faculty of Health and Medical Sciences, Blegdamsvej 3b, DK-2200 Copenhagen, Denmark.

出版信息

Cell. 2019 Oct 3;179(2):543-560.e26. doi: 10.1016/j.cell.2019.09.008.

Abstract

Tyrosine phosphorylation regulates multi-layered signaling networks with broad implications in (patho)physiology, but high-throughput methods for functional annotation of phosphotyrosine sites are lacking. To decipher phosphotyrosine signaling directly in tissue samples, we developed a mass-spectrometry-based interaction proteomics approach. We measured the in vivo EGF-dependent signaling network in lung tissue quantifying >1,000 phosphotyrosine sites. To assign function to all EGF-regulated sites, we determined their recruited protein signaling complexes in lung tissue by interaction proteomics. We demonstrated how mutations near tyrosine residues introduce molecular switches that rewire cancer signaling networks, and we revealed oncogenic properties of such a lung cancer EGFR mutant. To demonstrate the scalability of the approach, we performed >1,000 phosphopeptide pulldowns and analyzed them by rapid mass spectrometric analysis, revealing tissue-specific differences in interactors. Our approach is a general strategy for functional annotation of phosphorylation sites in tissues, enabling in-depth mechanistic insights into oncogenic rewiring of signaling networks.

摘要

酪氨酸磷酸化调节着多层次的信号网络,对(病理)生理学有广泛的影响,但缺乏高通量的磷酸酪氨酸位点功能注释方法。为了直接在组织样本中破译磷酸酪氨酸信号,我们开发了一种基于质谱的相互作用蛋白质组学方法。我们在肺组织中测量了 EGF 依赖性信号网络,定量了 >1000 个磷酸酪氨酸位点。为了给所有 EGF 调节的位点分配功能,我们通过相互作用蛋白质组学确定了它们在肺组织中的募集蛋白信号复合物。我们展示了酪氨酸残基附近的突变如何引入分子开关,从而重新连接癌症信号网络,并揭示了这种肺癌 EGFR 突变体的致癌特性。为了证明该方法的可扩展性,我们进行了 >1000 个磷酸肽的下拉实验,并通过快速质谱分析对其进行了分析,揭示了组织中相互作用体的特异性差异。我们的方法是对组织中磷酸化位点进行功能注释的一般策略,能够深入了解信号网络致癌性的重布线机制。

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