Abstract：
Bacteria inherently possess the capability of quorum sensing in response to the environment. In this work, we have proposed a strategy to confer bacteria with the ability to recognize targets with quorum-sensing behavior. Meanwhile, we have successfully achieved artificial control over the target-triggered aggregation of Escherichia coli (E. coli) by modifying the bacteria surface in a new way. Furthermore, by making use of green fluorescent protein (GFP) expressed by E. coli as the output signal, the aggregation of modified E. coli can be observed with the naked eye. Therefore, via the detection of the target, MUC1, an ovarian cancer biomarker, a simple and conveniently operated method to diagnose ovarian cancer is developed in this work. Experimental results show that the developed low-background and enzyme-free amplification method enables the highly sensitive detection of MUC1, achieving a remarkable limit of detection (LOD) of 5.47 fM and a linear detection range spanning from 1 pM to 50 nM and 50 nM to 100 nM, respectively. Clinical samples from healthy donors and patients can give distant assay results, showing great potential for clinical applications of this method.
摘要：
细菌固有地具有响应于环境的群体感应能力。在这项工作中,我们提出了一种策略，赋予细菌识别具有群体感应行为的靶标的能力。同时,我们已经成功地实现了对目标触发的大肠杆菌聚集的人工控制(E.大肠杆菌)通过以新的方式修饰细菌表面。此外，利用大肠杆菌表达的绿色荧光蛋白(GFP)作为输出信号,可以用肉眼观察到修饰的大肠杆菌的聚集。因此,通过对目标的检测，MUC1，卵巢癌生物标志物，这项工作开发了一种简单方便的诊断卵巢癌的方法。实验结果表明，开发的低背景和无酶扩增方法可以对MUC1进行高灵敏度检测，达到5.47fM的显着检测限（LOD），线性检测范围从1pM到50nM和50nM到100nM，分别。来自健康供体和患者的临床样本可以给出远处的测定结果，显示了该方法的临床应用潜力。
