College of Chemistry, Beijing Normal University, Beijing, 100875, China.
College of Chemistry, Beijing Normal University, Beijing, 100875, China; Department of Chemistry, College of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai City, 519087, Guangdong Province, China.
Talanta. 2024 Jan 15;267:125222. doi: 10.1016/j.talanta.2023.125222. Epub 2023 Sep 21.
Detection and imaging of cell membrane receptor proteins have gained widespread interest in recent years. However, recognition based on a single biomarker can induce false positive feedback, including off-target phenomenon caused by the absence of tumor-specific antigens. In addition, nucleic acid probes often cause nonspecific and undesired cell internalization during cell imaging. In this work, we constructed a logic gate DNA nano-platform (LGDP) for single-molecule imaging of cell membrane proteins to synergistically diagnose cancer cells. The traffic light-like color response of LGDP facilitates the precise discrimination among different cell lines. Combined with single molecule technology, the target proteins were qualitatively and quantitatively analyzed synergistically. Logic-gated recognition integrated in aptamer-functionalized molecular machines will prompt fast cells analysis, laying the foundation of cancer early diagnosis and treatment.
近年来，细胞膜受体蛋白的检测和成像受到了广泛关注。然而，基于单一生物标志物的识别会导致假阳性反馈，包括由于肿瘤特异性抗原缺失而引起的非靶向现象。此外，核酸探针在进行细胞成像时经常会引起非特异性和不需要的细胞内化。在这项工作中，我们构建了用于细胞膜蛋白单分子成像的逻辑门 DNA 纳米平台 (LGDP)，以协同诊断癌细胞。LGDP 的类似交通信号灯的颜色响应有助于精确区分不同的细胞系。结合单分子技术，对靶蛋白进行了协同的定性和定量分析。整合在适体功能化分子机器中的逻辑门识别将促使快速进行细胞分析，为癌症的早期诊断和治疗奠定基础。
