Membrane Protein and Extracellular Acid Heterogeneity-Driven Amplified DNA Logic Gate Enables Accurate and Sensitive Identification of Cancer Cells

DNA logic gates, as a class of smart molecular devices with excellent biocompatibility and convenient information processing mode, have been widely used for identification of cancer cells based on logic analysis of cancer biomarkers. However, most of the developed DNA logic gates for identification of cancer cells are mainly driven by homogeneous biomarkers such as membrane proteins or RNAs, which may suffer from insufficient accuracy. Herein, we reported a membrane protein and extracellular acid heterogeneity-driven amplified DNA logic gate (HDLG) for accurate and sensitive identification of cancer cells by combining the superior signal amplification characteristics of the hybridization chain reaction (HCR) and the precise computation ability of the logic operation. In this strategy, a DNA aptamer was employed for membrane protein recognition, and a split i-motif was used for the response of the extracellular acid. Only when the two heterogeneous biomarkers existed simultaneously, the DNA logic gate could be driven to perform the "AND" logic operation and induce the formation of an intact trigger to initiate a HCR process on the cell surface, generating an amplified "ON" fluorescence signal. Benefiting from the design of heterogeneity-driven and signal amplification, this DNA logic gate could not only autonomously perform high-resolution fluorescence imaging on the surface of target cancer cells, but also perform sensitive analysis of target cancer cells with a cell number of 70 detected in 200 μL of buffer and desirable accuracy in differentiating target cancer cells from complicated cell mixtures. We anticipate that this novel HDLG is expected to be applied in precise disease diagnosis.

A Photoresponsive and Metal-Organic Framework Encapsulated DNA Tetrahedral Entropy-Driven Amplifier for High-Performance Imaging Intracellular MicroRNA

The further development of high-performance fluorescent biosensors to image intracellular microRNAs is beneficial to cancer medicine. By virtue of the need for enzymes and hairpin DNA probes, the entropy-driven reaction-assisted signal amplification strategy has shown an enormous potential to accomplish this task. Nevertheless, this good option still meets with poor biostability, low cell uptake efficiency, and unsatisfactory accuracy. On the basis of these challenges, we put forward here a battery of solving pathways. First, the straight DNA probes are anchored onto the vertexes of dual DNA tetrahedrons, and thus the enzyme resistance of the whole sensing system is observably enhanced. A metal-organic framework (ZIF-8 nanoparticle), which can be effectively dissociated into a weakly acidic environment, then is employed as an additional delivery vehicle to encapsulate such a DNA tetrahedron sustained biosensor and finally bring about a more efficient endocytosis. Last, a kind of photocleavage-linker triggered photoresponsive manner is incorporated to achieve an exceptional precise target identification, by which the biosensor can only be initiated under the irradiation of an externally mild 365 nm ultraviolet light source. In accordance with the above efforts, worthy assay performance toward microRNA-196a has given rise to this newly constructed biosensor, whose sensitivity is down to 2.7 pM and also able to distinguish single-base variation. Beyond that, the amplifier can work as a powerful imaging toolbox to accurately determine the targets in living cells, providing a promising intracellular sensing platform.

Nucleic acid-based molecular computation heads towards cellular applications

Nucleic acids, with the advantages of programmability and biocompatibility, have been widely used to design different kinds of novel biocomputing devices. Recently, nucleic acid-based molecular computing has shown promise in making the leap from the test tube to the cell. Such molecular computing can perform logic analysis within the confines of the cellular milieu with programmable modulation of biological functions at the molecular level. In this review, we summarize the development of nucleic acid-based biocomputing devices that are rationally designed and chemically synthesized, highlighting the ability of nucleic acid-based molecular computing to achieve cellular applications in sensing, imaging, biomedicine, and bioengineering. Then we discuss the future challenges and opportunities for cellular and in vivo applications. We expect this review to inspire innovative work on constructing nucleic acid-based biocomputing to achieve the goal of precisely rewiring, even reconstructing cellular signal networks in a prescribed way.

A self-assembled DNA nanostructure as a FRET nanoflare for intracellular ATP imaging

Due to the incorporation of gold nanoparticles (AuNPs), previously reported AuNP-based FRET nanoflares still have some problems, such as non-negligible cytotoxicity and a time-consuming preparation procedure. In this communication, a novel AuNP-free FRET nanoflare for intracellular ATP imaging is developed based on a DNA nanostructure, which is self-assembled through cyclic U-type hybridization only involving a certain number of DNA strands.

Dual-MicroRNA-regulation of singlet oxygen generation by a DNA-tetrahedron-based molecular logic device

Endogenous miRNA expression patterns are extremely cell-type-specific, thereby offering high prediction accuracy for different cell identities. Here, a DNA-tetrahedron-based "AND" logic gate is utilized as a molecular device that recognizes dual-miRNA inputs through strand hybridization to activate a computation cascade that produces controlled singlet oxygen in live cells, resulting in the death of the target cell.

An enzyme cascade sensor with resistance to the inherent intermediate product by logic-controlled peroxidase mimic catalysis

Enzyme cascade sensors usually could not discriminate between the target and intermediate product. Herein, based on "AND" logic-controlled activation of the glucose oxidase-copper peroxide sensing system, enzyme cascade detection for glucose with resistance to inherently existing intermediate product H₂O₂ was reported for the first time, which may provide a novel way for facilitating enzyme cascade sensing.