Division of Chemical and Bioengineering, Kangwon National University, Gangwon-do 24341, Korea.
Department of Research and Development, Cantis Inc., Ansan-si, Gyeonggi-do 15588, Korea.
Sensors (Basel). 2020 Sep 15;20(18):5275. doi: 10.3390/s20185275.
Graphene oxide (GO)/peptide complexes as a promising disease biomarker analysis platform have been used to detect proteolytic activity by observing the turn-on signal of the quenched fluorescence upon the release of peptide fragments. However, the purification steps are often cumbersome during surface modification of nano-/micro-sized GO. In addition, it is still challenging to incorporate the specific peptides into GO with proper orientation using conventional immobilization methods based on pre-synthesized peptides. Here, we demonstrate a robust magnetic GO (MGO) fluorescence resonance energy transfer (FRET) platform based on in situ sequence-specific peptide synthesis of MGO. The magnetization of GO was achieved by co-precipitation of an iron precursor solution. Magnetic purification/isolation enabled efficient incorporation of amino-polyethylene glycol spacers and subsequent solid-phase peptide synthesis of MGO to ensure the oriented immobilization of the peptide, which was evaluated by mass spectrometry after photocleavage. The FRET peptide MGO responded to proteases such as trypsin, thrombin, and β-secretase in a concentration-dependent manner. Particularly, β-secretase, as an important Alzheimer's disease marker, was assayed down to 0.125 ng/mL. Overall, the MGO platform is applicable to the detection of other proteases by using various peptide substrates, with a potential to be used in an automated synthesis system operating in a high throughput configuration.
氧化石墨烯(GO)/肽复合物作为一种很有前途的疾病生物标志物分析平台,已被用于通过观察肽片段释放时猝灭荧光的开启信号来检测蛋白水解活性。然而,在纳米/微米级 GO 的表面修饰过程中,纯化步骤往往很繁琐。此外,使用基于预合成肽的传统固定化方法,将特定肽以适当的取向掺入 GO 仍然具有挑战性。在这里,我们展示了一种基于 MGO 原位序列特异性肽合成的强大的磁性 GO(MGO)荧光共振能量转移(FRET)平台。GO 的磁化是通过铁前体溶液的共沉淀实现的。磁纯化/分离能够有效地掺入氨基-聚乙二醇间隔物,随后进行 MGO 的固相肽合成,以确保肽的定向固定化,这可以通过光解后进行质谱分析来评估。FRET 肽 MGO 以浓度依赖的方式响应胰蛋白酶、凝血酶和β-分泌酶等蛋白酶。特别是,β-分泌酶作为一种重要的阿尔茨海默病标志物,其检测下限低至 0.125ng/mL。总的来说,该 MGO 平台可通过使用各种肽底物来检测其他蛋白酶,具有在高通量配置下运行的自动化合成系统中的应用潜力。