肺癌
药品
信号(编程语言)
计算机科学
信号转导
癌细胞
医学
癌症生物标志物
微流控
生物标志物
细胞信号
纳米技术
系统生物学
癌症
生物
计算生物学
癌症研究
逻辑模型
药物发现
化学
系统药理学
逻辑门
生物分子
药物输送
药物开发
生物信息学
细胞凋亡
靶向给药
生物途径
细胞内
作者
D. Ma,Yan Xu,Long Chen,Yaojun Wang,Chang Chen,Dongchen Zhu,Yijun Cao,Mei Tian,Yidan Gao,Xianqiang Mi
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-01-16
卷期号:20 (4): 3735-3747
标识
DOI:10.1021/acsnano.5c18240
摘要
Deciphering and analyzing the signaling pathways formed by multiple molecules during intercellular interactions is crucial for understanding cancer mechanisms and developing anticancer drugs. Currently, most methods for tumor research mainly focus on discrete biomolecules while overlooking the molecular logical relationships based on signal pathways. Here, we present a microfluidic chip-based electrochemical logic analysis (μELA) system that integrates a lung cancer chip, a macrophage chip, a logic gate chip, and an electrochemical (EC) sensing chip. The integrated system allows for the analysis of the logical relationship between miR-21 and miR-29a secreted by lung cancer cells and interleukin-6 (IL-6) secreted by macrophages, as well as the on-chip visualization of the activated NF-κB signaling pathway in the interaction between lung cancer cells and macrophages. In addition, drug testing based on the μELA system verifies that inhibitor combinations targeting lung cancer cell-macrophage interactions are more effective in inducing cell apoptosis than inhibitors that only act on lung cancer cells. This μELA system enables in situ cell culturing, biomarker sensing, automated logic analysis, and signaling pathway-based drug testing. We believe that this innovative and integrated microfluidic system holds great potential for studying cancer mechanisms and drug discovery.
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