乳腺癌
癌症
癌症研究
化学
癌细胞
激活剂(遗传学)
活检
组织蛋白酶D
分子成像
人体乳房
逻辑门
荧光素酶
计算生物学
病理
信号(编程语言)
纳米技术
作者
Hongzhe Yan,Xiaoyang Liu,Wenjun Zhan,Yi Yang,Fan Xing,Xiaotong Cheng,Zihan Yuan,Caifeng Ding,Gaolin Liang
标识
DOI:10.1021/acs.analchem.5c06776
摘要
Breast cancer poses a significant threat to the health of women globally. To date, clinically invasive needle biopsy may cause cancer metastasis, and noninvasive imaging methods exhibit suboptimal sensitivity. Therefore, developing a highly specific and sensitive diagnostic method for breast cancer detection continues to be a challenge. In this work, a spatially ordered three-input logic gate KK(GGR)-Luc is rationally designed to achieve precise and sensitive breast cancer in vivo imaging. The as-designed KK(GGR)-Luc can sequentially respond to urokinase-type plasminogen activator (uPA), cathepsin B (CTB), and luciferase (fLuc), and consequently, it generates highly specific bioluminescence (BL) signals in the 4T1 cells and tumors. Experimental results showed that the signal intensities of breast cancer treated with KK(GGR)-Luc exceeded those of all negative control groups by 3.5-fold in living cells and 5.0-fold in vivo, respectively. In addition, this spatially ordered three-input logic gate provided a long BL half-life (t1/2 = 117.2 min) in cells, which showed great potential in breast cancer in vivo imaging. We hope that the proposed sequentially activated three-input logic gate will aid in achieving highly precise and sensitive diagnosis of breast cancer in clinic.
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