Publications by authors named "Ruize Cheng"

Accurate identification of single-nucleotide mutations in circulating tumor DNA (ctDNA) is critical for cancer surveillance and cell biology research. However, achieving precise and sensitive detection of ctDNAs in complex physiological environments remains challenging due to their low expression and interference from numerous homologous species. This study introduces single-nucleotide-specific lipidic nanoflares designed for the precise and visible detection of ctDNA via toehold-initiated self-priming DNA polymerization (TPP).

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Intelligent DNA nanomachines are powerful and versatile molecular tools for bioimaging and biodiagnostic applications; however, they are generally constrained by complicated synthetic processes and poor reaction efficiencies. In this study, we developed a simple and efficient molecular machine by coupling a self-powered rolling motor with a lipidic nanoflare (termed RMNF), enabling high-contrast, robust, and rapid probing of cancer-associated microRNA (miRNA) in serum and living cells. The lipidic nanoflare is a cholesterol-based lipidic micelle decorated with hairpin-shaped tracks that can be facilely synthesized by stirring in buffered solution, whereas the 3D rolling motor (3D RM) is a rigidified tetrahedral DNA scaffold equipped with four single-stranded "legs" each silenced by a locking strand.

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The practical application of DNA biosensors is impeded by numerous limitations in complicated physiological environments, particularly the susceptibility of common DNA components to nuclease degradation, which has been recognized as a major barrier in DNA nanotechnology. In contrast, the present study presents an anti-interference and reinforced biosensing strategy based on a 3D DNA-rigidified nanodevice (3D RND) by converting a nuclease into a catalyst. 3D RND is a well-known tetrahedral DNA scaffold containing four faces, four vertices, and six double-stranded edges.

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MicroRNAs (miRNAs) and p53 gene can serve as valuable biomarkers for the diagnosis of a variety of cancers. Nevertheless, although the development of the DNA nanostructure on the detection of cancer-related biomarkers was initially demonstrated several years ago, the challenges of developing simpler, cheaper, and multi-level detection DNA biosensors persist. Herein, based on the rolling circle amplification (RCA) coupled with the target-triggered skill, we have developed a well-designed detecting platform.

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