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利用蛋白质微阵列构建的表皮生长因子受体(ErbB)定量蛋白质相互作用网络。

A quantitative protein interaction network for the ErbB receptors using protein microarrays.

作者信息

Jones Richard B, Gordus Andrew, Krall Jordan A, MacBeath Gavin

机构信息

Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.

出版信息

Nature. 2006 Jan 12;439(7073):168-74. doi: 10.1038/nature04177. Epub 2005 Nov 6.

Abstract

Although epidermal growth factor receptor (EGFR; also called ErbB1) and its relatives initiate one of the most well-studied signalling networks, there is not yet a genome-wide view of even the earliest step in this pathway: recruitment of proteins to the activated receptors. Here we use protein microarrays comprising virtually every Src homology 2 (SH2) and phosphotyrosine binding (PTB) domain encoded in the human genome to measure the equilibrium dissociation constant of each domain for 61 peptides representing physiological sites of tyrosine phosphorylation on the four ErbB receptors. This involved 77,592 independent biochemical measurements and provided a quantitative protein interaction network that reveals many new interactions, including ones that fall outside of our current view of domain selectivity. By slicing through the network at different affinity thresholds, we found surprising differences between the receptors. Most notably, EGFR and ErbB2 become markedly more promiscuous as the threshold is lowered, whereas ErbB3 does not. Because EGFR and ErbB2 are overexpressed in many human cancers, our results suggest that the extent to which promiscuity changes with protein concentration may contribute to the oncogenic potential of receptor tyrosine kinases, and perhaps other signalling proteins as well.

摘要

尽管表皮生长因子受体(EGFR;也称为ErbB1)及其相关蛋白启动了研究最为深入的信号网络之一,但对于该信号通路中哪怕是最早的步骤,即蛋白募集到活化受体上,目前仍缺乏全基因组层面的认识。在此,我们使用包含人类基因组中编码的几乎每一个Src同源2(SH2)结构域和磷酸酪氨酸结合(PTB)结构域的蛋白质微阵列,来测量每个结构域与代表四种ErbB受体上酪氨酸磷酸化生理位点的61个肽段之间的平衡解离常数。这涉及77592次独立的生化测量,并提供了一个定量的蛋白质相互作用网络,该网络揭示了许多新的相互作用,包括一些超出我们当前对结构域选择性认识的相互作用。通过在不同亲和力阈值下剖析该网络,我们发现受体之间存在惊人的差异。最显著的是,随着阈值降低,EGFR和ErbB2的选择性明显降低,而ErbB3则不然。由于EGFR和ErbB2在许多人类癌症中过表达,我们的结果表明,选择性随蛋白质浓度变化的程度可能有助于受体酪氨酸激酶以及或许其他信号蛋白的致癌潜力。

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