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基于亲和性的蛋白质组学揭示了 HSP90 协调的癌症特异性网络。

Affinity-based proteomics reveal cancer-specific networks coordinated by Hsp90.

机构信息

Molecular Pharmacology and Chemistry Program, Sloan-Kettering Institute, New York, New York, USA.

出版信息

Nat Chem Biol. 2011 Sep 25;7(11):818-26. doi: 10.1038/nchembio.670.

Abstract

Most cancers are characterized by multiple molecular alterations, but identification of the key proteins involved in these signaling pathways is currently beyond reach. We show that the inhibitor PU-H71 preferentially targets tumor-enriched Hsp90 complexes and affinity captures Hsp90-dependent oncogenic client proteins. We have used PU-H71 affinity capture to design a proteomic approach that, when combined with bioinformatic pathway analysis, identifies dysregulated signaling networks and key oncoproteins in chronic myeloid leukemia. The identified interactome overlaps with the well-characterized altered proteome in this cancer, indicating that this method can provide global insights into the biology of individual tumors, including primary patient specimens. In addition, we show that this approach can be used to identify previously uncharacterized oncoproteins and mechanisms, potentially leading to new targeted therapies. We further show that the abundance of the PU-H71-enriched Hsp90 species, which is not dictated by Hsp90 expression alone, is predictive of the cell's sensitivity to Hsp90 inhibition.

摘要

大多数癌症的特征是存在多种分子改变,但目前还无法确定参与这些信号通路的关键蛋白。我们表明,抑制剂 PU-H71 优先靶向富含肿瘤的 Hsp90 复合物,并亲和捕获 Hsp90 依赖性致癌客户蛋白。我们已经使用 PU-H71 亲和捕获来设计一种蛋白质组学方法,当与生物信息学途径分析结合使用时,该方法可以识别慢性髓系白血病中失调的信号网络和关键癌蛋白。鉴定的相互作用组与该癌症中已充分描述的改变的蛋白质组重叠,表明该方法可以提供对个体肿瘤生物学的全面了解,包括原发性患者标本。此外,我们表明,该方法可用于鉴定以前未表征的癌蛋白和机制,可能导致新的靶向治疗。我们进一步表明,PU-H71 富集的 Hsp90 种类的丰度不受 Hsp90 表达单独决定,而是预测细胞对 Hsp90 抑制的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed87/3265389/3272e5f77883/nihms350612f1.jpg

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