ACS Chem Biol. 2021 Apr 16;16(4):712-723. doi: 10.1021/acschembio.0c01000. Epub 2021 Mar 25.
Differential expression of extracellular proteases and endogenous protease inhibitors has been associated with distinct molecular subtypes of breast cancer. However, due to the tight post-translational regulation of protease activity, protease expression-level data alone are not sufficient to understand the role of proteases in malignant transformation. Therefore, we hypothesized that global profiles of extracellular protease activity could more completely reflect differences observed at the transcriptional level in breast cancer and that subtype-associated protease activity may be leveraged to identify specific proteases that play a functional role in cancer signaling. Here, we used a global peptide library-based approach to profile the activities of proteases within distinct breast cancer subtypes. Analysis of 3651 total peptide cleavages from a panel of well-characterized breast cancer cell lines demonstrated differences in proteolytic signatures between cell lines. Cell line clustering based on protease cleavages within the peptide library expanded upon the expected classification derived from transcriptional profiling. An isogenic cell line model developed to further interrogate proteolysis in the HER2 subtype revealed a proteolytic signature consistent with activation of TGF-β signaling. Specifically, we determined that a metalloprotease involved in TGF-β signaling, BMP1, was upregulated at both the protein (2-fold, = 0.001) and activity ( = 0.0599) levels. Inhibition of BMP1 and HER2 suppressed invasion of HER2-expressing cells by 35% ( < 0.0001), compared to 15% ( = 0.0086) observed in cells where only HER2 was inhibited. In summary, through global identification of extracellular proteolysis in breast cancer cell lines, we demonstrate subtype-specific differences in protease activity and elucidate proteolysis associated with HER2-mediated signaling.
细胞外蛋白酶和内源性蛋白酶抑制剂的差异表达与乳腺癌的不同分子亚型有关。然而,由于蛋白酶活性的翻译后调控非常紧密,仅蛋白酶表达水平数据不足以了解蛋白酶在恶性转化中的作用。因此,我们假设细胞外蛋白酶活性的总体谱可以更完整地反映乳腺癌转录水平上观察到的差异,并且与亚型相关的蛋白酶活性可以用于鉴定在癌症信号转导中发挥功能作用的特定蛋白酶。在这里,我们使用基于全局肽文库的方法来分析不同乳腺癌亚型中蛋白酶的活性。对一组经过充分表征的乳腺癌细胞系的 3651 个总肽切割进行分析,表明细胞系之间在蛋白水解特征上存在差异。基于肽文库中蛋白酶切割的细胞系聚类扩展了基于转录谱得出的预期分类。为进一步研究 HER2 亚型中的蛋白水解而开发的同基因细胞系模型揭示了与 TGF-β信号激活一致的蛋白水解特征。具体而言,我们确定了一种参与 TGF-β信号的金属蛋白酶,BMP1,在蛋白质(2 倍, = 0.001)和活性( = 0.0599)水平上均上调。与仅抑制 HER2 的细胞相比,抑制 BMP1 和 HER2 可使 HER2 表达细胞的侵袭减少 35%( < 0.0001),而抑制 HER2 可使侵袭减少 15%( = 0.0086)。总之,通过对乳腺癌细胞系中细胞外蛋白水解的全局鉴定,我们证明了蛋白酶活性的亚型特异性差异,并阐明了与 HER2 介导的信号转导相关的蛋白水解。