Bayrac Abdullah Tahir, Sefah Kwame, Parekh Parag, Bayrac Ceren, Gulbakan Basri, Oktem Huseyin Avni, Tan Weihong
Department of Biotechnology, Nanobiotechnology Research and Development Group, Middle East Technical University, 06531 Ankara, TURKEY.
ACS Chem Neurosci. 2011 Jan 31;2(3):175-181. doi: 10.1021/cn100114k.
Aptamer probes for specific recognition of glioblastoma multiforme were generated using a repetitive and broad cell-SELEX-based procedure without negative selection. The 454 sequencing technology was used to monitor SELEX, and bioinformatics tools were used to identify aptamers from high throughput data. A group of aptamers were generated that can bind to target cells specifically with dissociation constants (K(d)) in the nanomolar range. Selected aptamers showed high affinity to different types of glioblastoma cell lines, while showing little or no affinity to other cancer cell lines. The aptamers generated in this study have potential use in different applications, such as probes for diagnosis and devices for targeted drug delivery, as well as tools for molecular marker discovery for glioblastomas.
使用基于细胞指数富集的配体系统进化技术（cell-SELEX）的重复且广泛的程序，在没有阴性筛选的情况下，生成了用于特异性识别多形性胶质母细胞瘤的适配体探针。采用454测序技术监测细胞指数富集的配体系统进化技术（SELEX），并使用生物信息学工具从高通量数据中鉴定适配体。生成了一组解离常数（K(d)）在纳摩尔范围内、能与靶细胞特异性结合的适配体。筛选出的适配体对不同类型的胶质母细胞瘤细胞系显示出高亲和力，而对其他癌细胞系的亲和力很小或没有。本研究中生成的适配体在不同应用中具有潜在用途，如用于诊断的探针、靶向给药装置，以及用于胶质母细胞瘤分子标志物发现的工具。
