Intelligent Dual-Lock Deoxyribonucleic Acid Automatons Boosting Precise Tumor Imaging
Liu Wang, Kang Wang, Xiaohui Wang, Ruyan Niu, Xiaohui Chen, Ying Zhu, Zixin Sun, Jichun Yang, Guoxiang Liu, Yang Luo
Abstract
An early and accurate cancer diagnosis holds the potential to improve treatment and prognosis. Nevertheless, the complexity of the biological system limits the selectivity of existing approaches and makes tumor imaging in vivo particularly challenging. In this study, tumor-specific fluorescence imaging was achieved by building intelligent dual-lock deoxyribonucleic acid automatons (IDEAs) that employed a DNA walking system standing on ZrMOF@MnO 2 multifunctional nanocomposites for controllable molecular recognition. The IDEAs exhibited significantly enhanced fluorescence signals only in the coexistence of both miRNA and GSH of tumor cells, enabling accurate distinguishing of tumor cells from healthy ones. Furthermore, the feasibility and specificity of IDEAs were also validated in vivo with tumor bearing mice successfully. This work highlights the potential of the proposed IDEA strategy for tumor-specific imaging, paving the way for successful precision diagnosis and treatment.