Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
Faculty of Medicine, Joint Research Centre for Computational Biomedicine (JRC-COMBINE), RWTH Aachen University, Aachen, Germany.
Mol Syst Biol. 2019 Aug;15(8):e8828. doi: 10.15252/msb.20198828.
Endothelins (EDN) are peptide hormones that activate a GPCR signalling system and contribute to several diseases, including hypertension and cancer. Current knowledge about EDN signalling is fragmentary, and no systems level understanding is available. We investigated phosphoproteomic changes caused by endothelin B receptor (ENDRB) activation in the melanoma cell lines UACC257 and A2058 and built an integrated model of EDNRB signalling from the phosphoproteomics data. More than 5,000 unique phosphopeptides were quantified. EDN induced quantitative changes in more than 800 phosphopeptides, which were all strictly dependent on EDNRB. Activated kinases were identified based on high confidence EDN target sites and validated by Western blot. The data were combined with prior knowledge to construct the first comprehensive logic model of EDN signalling. Among the kinases predicted by the signalling model, AKT, JNK, PKC and AMP could be functionally linked to EDN-induced cell migration. The model contributes to the system-level understanding of the mechanisms underlying the pleiotropic effects of EDN signalling and supports the rational selection of kinase inhibitors for combination treatments with EDN receptor antagonists.
内皮素(EDN)是一种肽类激素,可激活 G 蛋白偶联受体信号系统,与多种疾病相关,包括高血压和癌症。目前对于 EDN 信号的了解是零散的,还没有系统水平的理解。我们研究了内皮素 B 受体(ENDRB)激活在黑色素瘤细胞系 UACC257 和 A2058 中引起的磷酸化蛋白质组变化,并从磷酸化蛋白质组学数据构建了 EDNRB 信号的综合模型。我们定量了超过 5000 个独特的磷酸肽。EDN 诱导了超过 800 个磷酸肽的定量变化,这些变化都严格依赖于 ENDRB。基于高可信度的 EDN 靶位,鉴定了激活的激酶,并通过 Western blot 进行了验证。将这些数据与先验知识相结合,构建了 EDN 信号的第一个综合逻辑模型。在信号模型预测的激酶中,AKT、JNK、PKC 和 AMP 可以与 EDN 诱导的细胞迁移在功能上相关联。该模型有助于系统地理解 EDN 信号的多效性作用的机制,并支持合理选择激酶抑制剂与 EDN 受体拮抗剂联合治疗。