Both in vitro and in vivo studies validate the feasibility of this robust and versatile nanoplatform that merges targeted delivery and endogenous activation for precise cancer imaging and therapy, with the potential for adaptation to diverse sensing and therapeutic payloads through modular reprogramming.
Abstract
RNA demethylase plays a crucial role in the dynamic regulation of m6A modification and has been identified as promising biomarker and therapeutic target. However, real-time monitoring of its activity in living cells remains challenging due to poor probe stability, and lack of tumor selectivity. Herein, we develop a cancer-targeting, endogenous-activated DNA nanosponge (DNS) platform for cancer-selective FTO imaging. The DNS is constructed via rolling circle amplification and loaded with FTO-responsive DNAzyme probes (FDz) and photosensitizer zinc phthalocyanine (ZnPc) to form FDz-ZnPc@DNS. The FDz are initially silenced by m6A modification and conjugated to DNS via glutathione (GSH)-cleavable disulfide linkage. Upon folate receptor-mediated internalization of FDz-ZnPc@DNS into cancer cells, intracellular GSH triggers the release of FDz. Subsequent FTO-mediated demethylation reactivates the DNAzyme, leading to amplified fluorescence recovery for FTO imaging. Concurrently, under 660 nm laser illumination, ZnPc generates cytotoxic singlet oxygen to destroy cancer cells/tissues via photodynamic therapy. Both in vitro and in vivo studies validate the feasibility of this nanoplatform for cancer-selective imaging and effective treatment. This work presents a robust and versatile nanoplatform that merges targeted delivery and endogenous activation for precise cancer imaging and therapy, with the potential for adaptation to diverse sensing and therapeutic payloads through modular reprogramming.
Photodynamic therapy (PDT), as a promising anticancer strategy, has attracted much attention due to the advantages of non-invasiveness, temporal-spatial selectivity, and low tendency to induce drug resistance. However, the clinical translation of PDT faces severe challenges, owing to the oxygen-demanding nature of ROS...
Mitochondria are emerging as critical hubs for cancer therapeutics, yet the development of agents that simultaneously enable real-time imaging and targeted therapy remains a formidable challenge. Here we report LN1, a smart theranostic small molecule designed to selectively target mitochondrial G-quadruplex (mtG4) DNA...
Nuan Li, Wen-Bo Yan, Zhe Wang et al.· Spectrochimica Acta Part A -...· 0 citations
Breast cancer treatment is limited by conventional therapies and by the poor photostability and tumor accumulation of photothermal agents such as indocyanine green (ICG). Here, we develop a DNA-based nanosystem, TDN-ICG-Ypy, that undergoes controlled aggregation specifically triggered by the tumor-associated miRNA-21 f...
Wen-Jing Wu, Jun-Xia Wang, Hang Zhao et al.· Journal of Photochemistry an...· 0 citations
MicroRNAs (miRNAs) precisely coordinate complex gene regulatory networks and serve as critical biomarkers for disease diagnosis. However, simultaneous monitoring of intracellular multiple miRNAs remains constrained by inefficient delivery and insufficient signal gain. Herein, we construct a self-reinforced DNAzyme nano...
Rui Song, Bao-Mei Zhou, Wen-Jing Liu et al.· Biosensors & bioelectronics· 0 citations
Colloidal DNA nanoflowers have emerged as promising biointerface platforms for cancer theranostics owing to their porous architectures, robust nuclease resistance, and favorable cytocompatibility. Integrating molecular logic gates into such bio-colloidal systems enables stringent spatial and temporal control over thera...
Hai-Ping Zhang, Yu-Ying Yao, Zhi-Qiang Guo et al.· Colloids and Surfaces B: Bio...· 0 citations
PIWI-interacting RNAs (piRNAs) are pivotal regulators of physiological and pathological processes, and their aberrant expression is tightly linked to cancer development and prognosis. Nevertheless, their ubiquitous presence in both tumor and normal cells poses a major challenge to achieving cancer-specific detection an...
Qian Liu, Yue-Yue Wang, Li-Juan Wang et al.· Biosensors & bioelectronics· 0 citations
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