Cell Membrane-Anchored AND Logic Gate Aptasensor for Tumor Cell-Specific Imaging with Improved Accuracy

化学 适体 DNA 癌细胞 四聚体 假阳性悖论 纳米技术 生物物理学 计算生物学 癌症 分子生物学 生物化学 计算机科学 遗传学 机器学习 生物 材料科学
作者
Biao Chen,Lanlin Qi,Yuchen Wu,Mingjian Chen,Yan Zhou,Lin He,Bin Zhang,M. Zhang,Kemin Wang,Xiaoxiao He
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (37): 14775-14782 被引量:10
标识
DOI:10.1021/acs.analchem.4c02077
摘要

Accurate and rapid imaging of tumor cells is of vital importance for early cancer diagnosis and intervention. Aptamer-based fluorescence sensors have become a potent instrument for bioimaging, while false positives and on-target off-tumors linked to single-biomarker aptasensors compromise the specificity and sensitivity of cancer imaging. In this paper, we describe a sequential response aptasensor for precise cancer cell identification that is based on a DNA "AND" logic gate. Specifically, the sensor consists of three single-stranded DNA, including the P-strand that can sensitively respond to an acid environment, the L-strand containing the ATP aptamer sequence, and the R-strand for target cell anchoring. These DNA strands hybridize with one another to create a Y-shaped structure (named Y-ALGN). The aptamer in the R-strand is utilized to anchor the sensor to the target cell membrane primarily. Responding to the extracellular acidic environment of the tumor (input 1), the I-motif sequence forms a tetramer structure so that the P-strand is released from the Y-shaped structure and exposes the ATP binding sites in the L-strand. Extracellular ATP, as input 2, continuously operates the DNA aptasensor to complete the logic computation. Upon the sequential response of both protons and ATP molecules, the aptasensor is activated with restored fluorescence on a particular cancer cell membrane. Benefiting from the precise computation capacity of the "AND" logic gate, the Y-ALGN aptasensor can distinguish between MCF-7 cells and normal cells with high accuracy. As a simple and dual-stimuli-responsive strategy, this nanodevice would offer a fresh approach for accurately diagnosing tumor cells.
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