Abou-Fadel Johnathan, Smith Mark, Falahati Kamran, Zhang Jun
Department of Molecular and Translational Medicine (MTM), Texas Tech University Health Science Center El Paso, 5001 El Paso Drive, El Paso, TX 79905 USA.
Chin Neurosurg J. 2020 Jan 15;6:4. doi: 10.1186/s41016-019-0183-6. eCollection 2020.
Cerebral cavernous malformations (CCMs), a major neurosurgical condition, characterized by abnormally dilated intracranial capillaries, result in increased susceptibility to stroke. KRIT1 (CCM1), MGC4607 (CCM2), and PDCD10 (CCM3) have been identified as causes of CCMs in which at least one of them is disrupted in most familial cases. Our goal is to identify potential biomarkers and genetic modifiers of CCMs, using a global comparative omics approach across several in vitro studies and multiple in vivo animal models. We hypothesize that through analysis of the CSC utilizing various omics, we can identify potential biomarkers and genetic modifiers, by systemically evaluating effectors and binding partners of the CSC as well as second layer interactors.
We utilize a comparative omics approach analyzing multiple CCMs deficient animal models across nine independent studies at the genomic, transcriptomic, and proteomic levels to dissect alterations in various signaling cascades
Our analysis revealed a large set of genes that were validated across multiple independent studies, suggesting an important role for these identified genes in CCM pathogenesis.
This is currently one of the largest comparative omics analysis of CCM deficiencies across multiple models, allowing us to investigate global alterations among multiple signaling cascades involved in both angiogenic and non-angiogenic events and to also identify potential biomarker candidates of CCMs, which can be used for new therapeutic strategies.
脑海绵状血管畸形(CCM)是一种主要的神经外科疾病,其特征为颅内毛细血管异常扩张,导致中风易感性增加。KRIT1(CCM1)、MGC4607(CCM2)和PDCD10(CCM3)已被确定为CCM的病因,在大多数家族性病例中至少有其中之一受到破坏。我们的目标是通过在多项体外研究和多种体内动物模型中采用全局比较组学方法,确定CCM的潜在生物标志物和基因修饰因子。我们假设,通过利用各种组学分析CCM干细胞(CSC),我们可以通过系统评估CSC的效应器和结合伙伴以及第二层相互作用分子,来识别潜在的生物标志物和基因修饰因子。
我们采用比较组学方法,在基因组、转录组和蛋白质组水平上分析来自9项独立研究的多个CCM缺陷动物模型,以剖析各种信号级联反应中的变化。
我们的分析揭示了大量在多项独立研究中得到验证的基因,表明这些已识别的基因在CCM发病机制中具有重要作用。
这是目前针对多个模型的CCM缺陷进行的最大规模比较组学分析之一,使我们能够研究血管生成和非血管生成事件中涉及的多个信号级联反应的全局变化,并识别CCM的潜在生物标志物候选物,这些候选物可用于新的治疗策略。