Naryzhny Stanislav, Volnitskiy Andrey, Kopylov Arthur, Zorina Elena, Kamyshinsky Roman, Bairamukov Viktor, Garaeva Luiza, Shlikht Anatoly, Shtam Tatiana
Orekhovich Institute of Biomedical Chemistry of Russian Academy of Medical Sciences Pogodinskaya 10, 119121 Moscow, Russia.
Petersburg Nuclear Physics Institute NRC «Kurchatov Institute», Orlova Roshcha 1, 188300 Gatchina, Russia.
Biomedicines. 2020 Jul 16;8(7):216. doi: 10.3390/biomedicines8070216.
Extracellular vesicles (EV) are involved in important processes of glioblastoma multiforme (GBM), including malignancy and invasion. EV secreted by glioblastoma cells may cross the hematoencephalic barrier and carry molecular cargo derived from the tumor into the peripheral circulation. Therefore, the determination of the molecular composition of exosomes released by glioblastoma cells seems to be a promising approach for the development of non-invasive methods of the detection of the specific exosomal protein markers in the peripheral blood. The present study aimed to determine the common exosomal proteins presented in preparations from different cell lines and search potential glioblastoma biomarkers in exosomes. We have performed proteomics analysis of exosomes obtained from the conditioned culture medium of five glioblastoma cell lines. A list of 133 proteins common for all these samples was generated. Based on the data obtained, virtual two-dimensional electrophoresis (2DE) maps of proteins presented in exosomes of glioblastoma cells were constructed and the gene ontology (GO) analysis of exosome proteins was performed. A correlation between overexpressed in glial cell proteins and their presence in exosomes have been found. Thus, the existence of many potential glioblastoma biomarkers in exosomes was confirmed.
细胞外囊泡（EV）参与多形性胶质母细胞瘤（GBM）的重要过程，包括恶性肿瘤和侵袭。胶质母细胞瘤细胞分泌的EV可能穿过血脑屏障，并将源自肿瘤的分子货物携带到外周循环中。因此，确定胶质母细胞瘤细胞释放的外泌体的分子组成似乎是开发在外周血中检测特定外泌体蛋白标志物的非侵入性方法的一种有前景的途径。本研究旨在确定不同细胞系制备物中常见的外泌体蛋白，并在外泌体中寻找潜在的胶质母细胞瘤生物标志物。我们对从五种胶质母细胞瘤细胞系的条件培养基中获得的外泌体进行了蛋白质组学分析。生成了所有这些样品共有的133种蛋白质的列表。基于获得的数据，构建了胶质母细胞瘤细胞外泌体中呈现的蛋白质的虚拟二维电泳（2DE）图谱，并对外泌体蛋白进行了基因本体（GO）分析。发现胶质细胞中过表达的蛋白质与其在外泌体中的存在之间存在相关性。因此，证实了外泌体中存在许多潜在的胶质母细胞瘤生物标志物。
