Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, 2300 RA Leiden, the Netherlands.
Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, 2300 RA Leiden, the Netherlands.
Biochem Pharmacol. 2019 Nov;169:113640. doi: 10.1016/j.bcp.2019.113640. Epub 2019 Sep 16.
Enhanced expression and activity of protein kinases are critical in tumor cell proliferation and cancer progression. These various cancer-related kinases form intricate interdependent signaling networks. Evaluation of the effect of various kinase inhibitors on these networks is critical to understand kinase inhibitor efficacy in cancer therapy. The dynamic activation of some kinases can be monitored by fluorescence resonance energy transfer (FRET) biosensors with high temporal resolution. Here, we established a FRET biosensor-based high throughput imaging approach to determine ERK and AKT activity in two triple negative breast cancer (TNBC) cell lines HCC1806 and Hs578T. FRET functionality was systematically evaluated using EGF stimulation and different MEK and AKT inhibitors, respectively. Next, we assessed the effect of a kinase inhibitor library containing >350 different kinase inhibitors (KIs) on ERK and AKT kinase activity using a FRET high-throughput screening setting. Suppression of FRET-ERK activity was generally positively correlated with the proliferation phenotype against inhibitors targeting MAPK signaling in both cell lines containing FRET-ERK reporter. AKT inhibitor (AKTi) resistant HCC1806 showed decreased proliferation associated with downregulated dynamics of FRET-ERK when treated with KIs targeting protein receptor tyrosine kinase (RTK). Yet, MEK inhibitor (MEKi) resistant Hs578T showed positively correlated FRET-AKT and proliferative responses against different PI3K and AKT inhibitors. Altogether, our data demonstrate the feasibility to integrate high throughput imaging-based screening of intracellular kinase activity using FRET-based biosensors in assessing kinase specificity and possible signaling crosstalk in direct relation to therapeutic outcome.
蛋白激酶的表达和活性增强在肿瘤细胞增殖和癌症进展中至关重要。这些不同的癌症相关激酶形成错综复杂的相互依存的信号网络。评估各种激酶抑制剂对这些网络的影响对于了解激酶抑制剂在癌症治疗中的疗效至关重要。一些激酶的动态激活可以通过具有高时间分辨率的荧光共振能量转移(FRET)生物传感器来监测。在这里,我们建立了一种基于 FRET 生物传感器的高通量成像方法,以确定两种三阴性乳腺癌(TNBC)细胞系 HCC1806 和 Hs578T 中的 ERK 和 AKT 活性。使用 EGF 刺激和不同的 MEK 和 AKT 抑制剂分别系统地评估了 FRET 的功能。接下来,我们使用包含> 350 种不同激酶抑制剂(KIs)的激酶抑制剂文库评估了 FRET 高通量筛选设置对 ERK 和 AKT 激酶活性的影响。在含有 FRET-ERK 报告基因的两种细胞系中,抑制 FRET-ERK 活性通常与针对 MAPK 信号的抑制剂的增殖表型呈正相关。AKTi 耐药 HCC1806 显示出与针对蛋白受体酪氨酸激酶(RTK)的 KIs 治疗时 FRET-ERK 动力学下调相关的增殖减少。然而,MEKi 耐药 Hs578T 显示出与不同的 PI3K 和 AKT 抑制剂的正相关的 FRET-AKT 和增殖反应。总之,我们的数据表明,使用基于 FRET 的生物传感器整合基于高通量成像的细胞内激酶活性筛选在评估激酶特异性和与治疗结果直接相关的可能信号串扰方面是可行的。