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Enzyme-Free Dynamic DNA Reaction Networks for On-Demand Bioanalysis and Bioimaging

生物分析 脱氧核酶 纳米技术 合成生物学 DNA 生物分子 计算机科学 计算生物学 系统生物学 生物传感器 化学 生化工程 生物 生物化学 材料科学 工程类
作者
Shizhen He,Jinhua Shang,Yuqiu He,Fuan Wang
出处
期刊:Accounts of Chemical Research [American Chemical Society]
标识
DOI:10.1021/acs.accounts.3c00676
摘要

ConspectusThe pursuit of in-depth studying the nature and law of life activity has been dominating current research fields, ranging from fundamental biological studies to applications that concern synthetic biology, bioanalysis, and clinical diagnosis. Motivated by this intention, the spatiotemporally controlled and in situ analysis of living cells has been a prospective branch by virtue of high-sensitivity imaging of key biomolecules, such as biomarkers. The past decades have attested that deoxyribonucleic acid (DNA), with biocompatibility, programmability, and customizable features, is a competitive biomaterial for constructing high-performance molecular sensing tools. To conquer the complexity of the wide extracellular–intracellular distribution of biomarkers, it is a meaningful breakthrough to explore high-efficiently amplified DNA circuits, which excel at operating complex yet captivating dynamic reaction networks for various bioapplications. In parallel, the multidimensional performance improvements of nucleic acid circuits, including the availability, detection sensitivity, and reliability, are critical parameters for realizing accurate imaging and cell regulation in bioanalysis.In this Account, we summarize our recent work on enzyme-free dynamic DNA reaction networks for bioanalysis from three main aspects: DNA circuitry functional extension of molecular recognition for epigenetic analysis and regulation, DNA circuitry amplification ability improvement for sensitive biomarker detection, and site-specific activation of DNA circuitry systems for reliable and accurate cell imaging. In the first part, we have designed an epigenetically responsive deoxyribozyme (DNAzyme) circuitry system for intracellular imaging and gene regulation, which enriches the possible analyzed species by chemically modifying conventional DNAzyme. For example, an exquisite N6-methyladenine (m6A)-caged DNAzyme was built for achieving the precise FTO (fat mass and obesity-associated protein)-directed gene regulation. In addition, varieties of DNAzyme-based nanoplatforms with self-sufficient cofactor suppliers were assembled, which subdued the speed-limiting hardness of DNAzyme cofactors in live-cell applications. In the second part, we have developed a series of hierarchically assembled DNA circuitry systems to improve the signal transduction ability of traditional DNA circuits. First, the amplification ability of the DNAzyme circuit has been significantly enhanced via several heterogeneously or homogeneously concatenated circuitry models. Furthermore, a feedback reaction pathway was integrated into these concatenated circuits, thus dramatically increasing the amplification efficiency. Second, considering the complex cellular environment, we have simplified the redundancy of multicomponents or reaction procedures of traditional cascaded circuits, relying on the minimal component complexity and merely one modular catalytic reaction, which guaranteed high cell-delivering uniformity while fostering reaction kinetics and analysis reliability. In the third part, we have constructed in-cell-selective endogenous-stimulated DNA circuitry systems via the multiply guaranteed molecular recognitions, which could not only eliminate the signal leakage, but could also retain its on-site and multiplex signal amplification. Based on the site-specific activation strategy, more circuitry availability in cellular scenarios has been acquired for reliable and precise biological sensing and regulation. These enzyme-free dynamic DNA reaction networks demonstrate the purpose-to-concreteness engineering for tailored multimolecule recognition and multiple signal amplification, achieving high-gain signal transduction and high-reliability targeted imaging in bioanalysis. We envision that the enzyme-free dynamic DNA reaction network can contribute to more bioanalytical layouts, which will facilitate the progression of clinical diagnosis and prognosis.
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