Fast and sensitive multivalent spatial pattern-recognition for circular RNA detection

作者：Zhixin Zhou, Bing Han, Yu Wang, Nina Lin, Zhongqiu Zhou, Yuan Zhang, Yuan Zhang, Ying Bai, Yanfei Shen, Yanfei Shen, Yuanjian Zhang, Yuanjian Zhang, Honghong Yao · 发表于：Nature Communications · 年份：2024 · DOI：10.1038/s41467-024-55364-x · 被引用次数：20 · 研究领域：Circular RNAs in diseases、MicroRNA in disease regulation、Cancer-related molecular mechanisms research

While circular RNAs (circRNAs) exhibit lower abundance compared to corresponding linear RNAs, they demonstrate potent biological functions. Nevertheless, challenges arise from the low concentration and distinctive structural features of circRNAs, rendering existing methods operationally intricate and less sensitive. Here, we engineer an intelligent tetrahedral DNA framework (TDF) possessing precise spatial pattern-recognition properties with exceptional sensing speed and sensitivity for circRNAs. The signal output of TDF sensor occurs only when multivalent spatial pattern-recognition of a circRNA in unamplified samples. Using this sensor, we visualize the real-time response of endogenous circRNA expression in vitro neuronal cells and in vivo brain between pre-stroke and post-stroke male mice, identify the patients with acute ischemic stroke in clinical samples, as well as track the delivery of circRNA in photochromic stroked animal model. Thus, the TDF sensor provides a fast and sensitive tool for the detection of circRNA abundance in both physiological and pathophysiological conditions. Circular RNAs (circRNAs) are crucial regulators but challenging to detect due to their low abundance. Here, authors developed a tetrahedral DNA framework (TDF) sensor that allows for rapid and sensitive detection of circRNAs both in vitro and in vivo, facilitating real-time visualization and tracking.