Mutharasu Gnanavel, Murugesan Akshaya, Konda Mani Saravanan, Yli-Harja Olli, Kandhavelu Meenakshisundaram
BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Molecular Signalling Lab, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
J Biomol Struct Dyn. 2022 Apr;40(6):2586-2599. doi: 10.1080/07391102.2020.1841029. Epub 2020 Nov 3.
Glioblastoma Multiforme (GBM) is one of the most aggressive malignant tumors in the central nervous system, which arises due to the failure or crosstalk in the signaling networks. GPR17, an orphan G protein-coupled receptor is anticipated to be associated with the biology of the GBM disease progression. In the present study, we have identified the differential expressions of around 170 genes along with GPR17 through the RNA-Seq analysis of 169 GBM samples. Coordinated expression patterns of all other gene products with this receptor were analysed using gene ontology and protein-protein interaction data. Several crucial signaling components and genes that play a significant role in tumor progression have been identified among which GPR17 was found to be significantly interacting with about 30 different pathways. High-throughput molecular docking of GPR17 by homology-based model against differentially expressed proteins, showed effective recognition and binding of PX, SH3, and Ig-like domains besides Gi protein. Pathways of PI3, Src, Ptdn, Ras, cytoplasmic tyrosine kinases, phospholipases, nexins and other proteins possessing these structural domains are identified as critical signaling components of the complex GBM signaling network. Our findings also provide a mechanistic insight of GPR17-T0510-3657 interaction, which potentially regulates the interaction of PX domain and helical mPTS recognition domain-containing proteins. Overall, our results demonstrate that GPR17 mediated signaling networks could be used as a therapeutic target for GBM. Communicated by Ramaswamy H. Sarma.
多形性胶质母细胞瘤(GBM)是中枢神经系统中最具侵袭性的恶性肿瘤之一,它是由于信号网络的故障或相互作用而产生的。GPR17是一种孤儿G蛋白偶联受体,预计与GBM疾病进展的生物学过程相关。在本研究中,我们通过对169个GBM样本的RNA测序分析,确定了约170个基因以及GPR17的差异表达。使用基因本体论和蛋白质-蛋白质相互作用数据,分析了该受体与所有其他基因产物的协同表达模式。已鉴定出在肿瘤进展中起重要作用的几个关键信号成分和基因,其中发现GPR17与约30种不同途径有显著相互作用。通过基于同源性模型对差异表达蛋白进行GPR17的高通量分子对接,结果显示除了Gi蛋白外,GPR17还能有效识别和结合PX、SH3和Ig样结构域。PI3、Src、Ptdn、Ras、细胞质酪氨酸激酶、磷脂酶、连接蛋白和其他具有这些结构域的蛋白质的途径被确定为复杂GBM信号网络的关键信号成分。我们的研究结果还提供了GPR17-T0510-3657相互作用的机制性见解,这可能调节含PX结构域和螺旋mPTS识别结构域的蛋白质之间的相互作用。总体而言,我们的结果表明,GPR17介导的信号网络可作为GBM的治疗靶点。由拉马斯瓦米·H·萨尔马传达。