Wang Zhenzhen, Cheng Jiawen, Dai Guimin, Sun Xiaoqi, Yin Xueli, Zhang Yuanyuan
School of Life Science, Anhui Medical University, Hefei 230032, China.
School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China.
Life (Basel). 2023 Jul 13;13(7):1553. doi: 10.3390/life13071553.
In this study, a tobramycin concentration-dependent whole-cell micro-biosensor (tob-HHAz) was constructed by fusing a tobramycin aptamer with a hammerhead ribozyme (HHR) from . The biosensor was obtained by integrating all the modules into one complete RNA sequence, which was easily introduced into without suffering from harsh external environments. Three independent tobramycin-sensitive RNA structures were identified via high-throughput screening in vivo and were further verified in vitro to undergo the desired self-cleavage reaction. The computation prediction of the RNA structure was performed to help analyze the mechanisms of various conformations by performing a qualitative and rapid detection of tobramycin in practical samples; two sensors exhibited high responsiveness to spiked milk, with a detection limit of around 40 nM, which is below the EU's antibiotic maximum residual level. One of the structures provides a linear range from 30 to 650 nM with a minimum detection limit of 30 nM and showed relatively good selectivity in spiked urine. This study is the first in which in vivo screening was combined with computation analysis to optimize the pivotal structure of sensors. This strategy enables researchers to use artificial ribozyme-based biosensors not only for antibiotic detection but also as a generally applicable method for the further detection of substances in living cells.
在本研究中,通过将妥布霉素适配体与来自[具体来源未给出]的锤头状核酶(HHR)融合,构建了一种妥布霉素浓度依赖性全细胞微生物传感器(tob-HHAz)。该生物传感器是通过将所有模块整合到一个完整的RNA序列中获得的,该序列可轻松导入[具体导入对象未给出],而不会受到恶劣外部环境的影响。通过体内高通量筛选鉴定出三种独立的对妥布霉素敏感的RNA结构,并在体外进一步验证其能发生所需的自我切割反应。通过对RNA结构进行计算预测,以帮助分析各种构象的机制,从而在实际样品中对妥布霉素进行定性和快速检测;两种传感器对加标的牛奶表现出高响应性,检测限约为40 nM,低于欧盟抗生素最大残留水平。其中一种结构的线性范围为30至650 nM,最低检测限为30 nM,并且在加标的尿液中显示出相对较好的选择性。本研究首次将体内筛选与计算分析相结合,以优化传感器的关键结构。该策略使研究人员能够将基于人工核酶的生物传感器不仅用于抗生素检测,而且作为一种普遍适用的方法用于进一步检测活细胞中的物质。