Ted Rogers Centre for Heart Research, University of Toronto, Toronto, Ontario, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
Nat Biomed Eng. 2020 Sep;4(9):889-900. doi: 10.1038/s41551-020-0585-y. Epub 2020 Jul 13.
Study of the molecular basis of myocardial fibrosis is hampered by limited access to tissues from human patients and by confounding variables associated with sample accessibility, collection, processing and storage. Here, we report an integrative strategy based on mass spectrometry for the phosphoproteomic profiling of normal and fibrotic cardiac tissue obtained from surgical explants from patients with hypertrophic cardiomyopathy, from a transaortic-constriction mouse model of cardiac hypertrophy and fibrosis, and from a heart-on-a-chip model of cardiac fibrosis. We used the integrative approach to map the relative abundance of thousands of proteins, phosphoproteins and phosphorylation sites specific to each tissue source, to identify key signalling pathways driving fibrosis and to screen for anti-fibrotic compounds targeting glycogen synthase kinase 3, which has a consistent role as a key mediator of fibrosis in all three types of tissue specimen. The integrative disease-modelling strategy may reveal new insights into mechanisms of cardiac disease and serve as a test bed for drug screening.
难以获取人类患者的组织样本,以及样本获取、采集、处理和存储过程中与混杂变量相关的阻碍。在此,我们报告了一种基于质谱的整合策略,用于对来自肥厚型心肌病患者手术切除标本、主动脉缩窄小鼠心肌肥厚和纤维化模型以及心脏芯片纤维化模型的正常和纤维化心脏组织进行磷酸化蛋白质组分析。我们使用这种整合方法来绘制每种组织来源的数千种蛋白质、磷酸化蛋白和磷酸化位点的相对丰度图谱,以鉴定驱动纤维化的关键信号通路,并筛选针对糖原合酶激酶 3 的抗纤维化化合物,该激酶在所有三种组织标本中均作为纤维化的关键介质发挥一致作用。这种整合疾病建模策略可能会为心脏疾病的机制研究提供新的见解,并可作为药物筛选的试验台。