首页> 外文期刊>Biosensors & Bioelectronics: The International Journal for the Professional Involved with Research, Technology and Applications of Biosensers and Related Devices >Design of ultrasensitive chemiluminescence detection of lysozyme in cancer cells based on nicking endonuclease signal amplification technology
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Design of ultrasensitive chemiluminescence detection of lysozyme in cancer cells based on nicking endonuclease signal amplification technology

机译:基于缺口核酸内切酶信号放大技术的癌细胞溶菌酶超灵敏化学发光检测设计

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Detection of protein using aptamer has been based on recognition between target molecules and aptamer in a 1:1 stoichiometric ratio. The stoichiometric recognition, however, puts an intrinsic limitation on detection sensitivity, because one target molecule produces only one signal probe. Here a novel protein assay strategy was constructed by using cleavage of nicking endonuclease to allow for the sensitive and selective detection of lysozyme. In this strategy, detection signal is amplified through lysozyme-aptamer recognition and nicking endonuclease cleavage, by which one lysozyme produces many signal probes, and nanoparticles chemiluminescence probes (nanoparticles CL probes). Signal amplification brought about significant increase in the sensitivity of lysozyme detection. The detection signals are proportional to the concentration of lysozyme. This nicking endonuclease signal amplification system provides a detection limit of 2.0×10~(-13)M, which also exhibits a good selectivity for lysozyme detection. Sample assays of lysozyme in K562 cells and B lymphoma cells confirm the reliability and practicality of the protocol, which reveal a good prospect of this platform for biological sample analysis.
机译:使用适体的蛋白质检测已经基于目标分子与适体之间以1:1的化学计量比进行识别。然而,化学计量的识别对检测灵敏度提出了固有的限制,因为一个靶分子仅产生一个信号探针。在这里,通过使用切口内切核酸酶的裂解来构建新的蛋白质测定策略,以允许对溶菌酶进行灵敏和选择性的检测。在这种策略中,检测信号通过溶菌酶-适体识别和切口内切核酸酶裂解而放大,从而一种溶菌酶产生许多信号探针和纳米粒子化学发光探针(纳米粒子CL探针)。信号放大显着提高了溶菌酶检测的灵敏度。检测信号与溶菌酶的浓度成正比。该切口内切核酸酶信号放大系统提供了2.0×10〜(-13)M的检测限,对溶菌酶检测也显示出良好的选择性。在K562细胞和B淋巴瘤细胞中进行溶菌酶的样品分析证实了该方案的可靠性和实用性,这为该平台用于生物样品分析提供了良好的前景。

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