Gao Zhong Feng, Zheng Lin Lin, Dong Lu Ming, Li Jin Ze, Shen Yizhong, Chen Pu, Xia Fan
Advanced Materials Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250014, People's Republic of China.
Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Feixian Campus, Linyi University, Linyi 276005, People's Republic of China.
Anal Chem. 2022 Apr 26;94(16):6371-6379. doi: 10.1021/acs.analchem.2c00848. Epub 2022 Apr 15.
Although the CRISPR/Cas system has pioneered a new generation of analytical techniques, there remain many challenges in developing a label-free, accurate, and reliable CRISPR/Cas-based assay for reporting the levels of low abundance biomolecules in complex biological samples. Here, we reported a novel CRISPR-derived resonance Rayleigh scattering (RRS) amplification strategy and logical circuit based on a guanine nanowire (G-wire) assisted non-cross-linking hybridization chain reaction (GWancHCR) for label-free detection of lipopolysaccharide (LPS). In the presence of a target, the protospacer-adjacent motif-inserted aptamer is rationally designed to specifically combine with LPS rather than Cas12a, suppressing the trans-cleavage activity of CRISPR/Cas12a and retaining the reporter probes to trigger non-cross-linking aggregation. Owing to the automatic hybridization chain reaction (HCR), in the presence of Mg, the released G-quadruplex sequence aggregated to assemble the G-wire superstructure through non-cross-linking. As a result, a dramatically amplified RRS intensity is observed, allowing for reporting LPS levels in a low detection limit of 0.17 pg/mL and a wide linear range among 1.0-100.0 ng/mL. Moreover, this reaction event is capable of programming to perform classical Boolean logic tree analysis, including basic logic computing and complex integrated logic circuits. This study comprehensively analyzed with respect to information flow, matter (molecular events), and energy (RRS), revealing the potential promise in designing of molecular-level "Internet of Things", intelligent computing, and sensing systems.
尽管CRISPR/Cas系统开创了新一代分析技术,但在开发一种用于报告复杂生物样品中低丰度生物分子水平的无标记、准确且可靠的基于CRISPR/Cas的检测方法方面,仍存在许多挑战。在此,我们报道了一种基于鸟嘌呤纳米线(G-线)辅助的非交联杂交链式反应(GWancHCR)的新型CRISPR衍生共振瑞利散射(RRS)放大策略和逻辑电路,用于无标记检测脂多糖(LPS)。在存在靶标的情况下,合理设计插入原间隔序列邻近基序的适配体,使其与LPS而非Cas12a特异性结合,抑制CRISPR/Cas12a的反式切割活性,并保留报告探针以触发非交联聚集。由于自动杂交链式反应(HCR),在镁存在的情况下,释放的G-四链体序列聚集,通过非交联组装成G-线超结构。结果,观察到RRS强度显著放大,从而能够以0.17 pg/mL的低检测限和1.0 - 100.0 ng/mL的宽线性范围报告LPS水平。此外,该反应事件能够编程执行经典布尔逻辑树分析,包括基本逻辑计算和复杂的集成逻辑电路。本研究从信息流、物质(分子事件)和能量(RRS)方面进行了全面分析,揭示了在设计分子级“物联网”、智能计算和传感系统方面的潜在前景。