Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792-8660, USA.
Department of Neurological Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792-8660, USA.
Sci Rep. 2017 Nov 20;7(1):15840. doi: 10.1038/s41598-017-16066-1.
Glioblastoma stem-like cells (GSC) are hypothesized to evade current therapies and cause tumor recurrence, contributing to poor patient survival. Existing cell surface markers for GSC are developed from embryonic or neural stem cell systems; however, currently available GSC markers are suboptimal in sensitivity and specificity. We hypothesized that the GSC cell surface proteome could be mined with a yeast display antibody library to reveal novel immunophenotypes. We isolated an extensive collection of antibodies that were differentially selective for GSC. A single domain antibody VH-9.7 showed selectivity for five distinct patient-derived GSC lines and visualized orthotopic GBM xenografts in vivo after conjugation with a near-infrared dye. These findings demonstrate a previously unexplored high-throughput strategy for GSC-selective antibody discovery, to aid in GSC isolation, diagnostic imaging, and therapeutic targeting.
胶质母细胞瘤干细胞(GSC)被认为能够逃避当前的治疗方法并导致肿瘤复发,从而导致患者生存率降低。现有的 GSC 细胞表面标志物是从胚胎或神经干细胞系统开发的;然而,目前可用的 GSC 标志物在灵敏度和特异性方面并不理想。我们假设可以使用酵母展示抗体文库来挖掘 GSC 的细胞表面蛋白质组,以揭示新的免疫表型。我们分离了大量对 GSC 具有不同选择性的抗体。一种单域抗体 VH-9.7 对五个不同的患者来源的 GSC 系表现出选择性,并在与近红外染料缀合后在体内可视化了原位 GBM 异种移植物。这些发现证明了一种以前未被探索的用于 GSC 选择性抗体发现的高通量策略,以帮助 GSC 的分离、诊断成像和治疗靶向。