级联
鉴定(生物学)
逻辑门
癌细胞
化学
计算机科学
DNA
癌症
生物系统
计算生物学
纳米技术
算法
生物
材料科学
生物化学
植物
遗传学
色谱法
作者
Qiqi Chao,Yuxi Zhang,Qian Li,Luzhen Jiao,Xufeng Sun,Xuxu Chen,Lina Zhu,Q.W. Yang,Chengwen Shang,Rongmei Kong,Gao‐Chao Fan,Zhiling Song,Xiliang Luo
标识
DOI:10.1021/acs.analchem.3c00898
摘要
Accurate identification of cancer cells is an essential prerequisite for cancer diagnosis and subsequent effective curative interventions. The logic-gate-assisted cancer imaging system that allows a comparison of expression levels between biomarkers, rather than just reading biomarkers as inputs, returns a more comprehensive logical output, improving its accuracy for cell identification. To fulfill this key criterion, we develop a compute-and-release logic-gated double-amplified DNA cascade circuit. This novel system, CAR-CHA-HCR, consists of a compute-and-release (CAR) logic gate, a double-amplified DNA cascade circuit (termed CHA-HCR), and a MnO2 nanocarrier. CAR-CHA-HCR, a novel adaptive logic system, is designed to logically output the fluorescence signals after computing the expression levels of intracellular miR-21 and miR-892b. Only when miR-21 is present and its expression level is above the threshold CmiR-21 > CmiR-892b, the CAR-CHA-HCR circuit performs a compute-and-release operation on free miR-21, thereby outputting enhanced fluorescence signals to accurately image positive cells. It is capable of comparing the relative concentrations of two biomarkers while sensing them, thus allowing accurate identification of positive cancer cells, even in mixed cell populations. Such an intelligent system provides an avenue for highly accurate cancer imaging and is potentially envisioned to perform more complex tasks in biomedical studies.
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