Compute-and-Release Logic-Gated DNA Cascade Circuit for Accurate Cancer Cell Imaging

Intelligent DNA Nanosystem for Broad-Spectrum Oncological Typing and Therapy

The occurrence of multiple primary cancers in individual patients underscores the need for diagnostic and therapeutic techniques with augmented cancer-targeting selectivity and broad-spectrum antitumor effects. To address this, we develop a quadruple-input-triggered OR-AND-AND logic gated oncological nanosystem (OAA). This system employs four cancer-related markers (EpCAM, MUC1, APE1, and miR-21) to generate three distinct fluorescence signals, enabling precise differentiation of various cancer cell lines (MCF-7, HepG2, and HeLa) from normal cells (MCF-10A). Additionally, the OAA system integrates photodynamic therapy (PDT) and gene silencing strategies, allowing selective activation of Ce6 release, miR-21 gene silencing, and VEGFR2 mRNA gene silencing through the OR-AND-AND logic gating mechanism in a cancer-specific manner. This synergetic therapeutic approach induces significant apoptosis in multiple cancer cell lines while sparing normal cells, demonstrating improved cancer-targeting specificity and broad-spectrum versatility. This intelligent platform precisely types and treats diverse cancer cells, powering the future exploration of advanced diagnostic and therapeutic strategies to combat highly heterogeneous diseases.

Refined design of a DNA logic gate for implementing a DNA-based three-level circuit

DNA computing circuits are favored by researchers because of their high density, high parallelism, and biocompatibility. However, compared with electronic circuits, current DNA circuits have significant errors in understanding the OFF state and logic "0". Nowadays, DNA circuits only have two input states: logic "0" and logic "1", where logic "0" also means the OFF state. Corresponding to an electronic circuit, it is more like an on-off switch than a logic circuit. To correct this conceptual confusion, we propose a three-level circuit. The circuit divides the input signal into three cases: "none", logic "0" and logic "1". In subsequent experiments, 34 input combinations of the primary AND gate, OR gate as well as secondary AND-OR and OR-AND cascade circuits were successfully implemented to perform the operation, which distinguished the OFF state and logic "0" correctly. Based on this, we successfully implemented a more complex voting operation with only 12 strands. We believe that our redefinition of the OFF state and logic "0" will promote tremendous developments in DNA computing circuits.

Harnessing Nanomaterials for Enhanced DNA-Based Biosensing and Therapeutic Performance

The integration of nanomaterials with DNA-based systems has emerged as a transformative approach in biosensing and therapeutic applications. Unique features of DNA, like its programmability and specificity, complement the diverse functions of nanomaterials, leading to the creation of advanced systems for detecting biomarkers and delivering treatments. Here, we review the developments in DNA-nanomaterial conjugates, emphasizing their enhanced functionalities and potential across various biomedical applications. We first discuss the methodologies for synthesizing these conjugates, distinguishing between covalent and non-covalent interactions. We then categorize DNA-nanomaterials conjugates based on the properties of the DNA and nanomaterials involved, respectively. DNA probes are classified by their application into biosensing or therapeutic uses, and, several nanomaterials are highlighted by their recent progress in living biological. Finally, we discuss the current challenges and future prospects in this field, anticipating that significant progress in DNA-nanomaterial conjugates will greatly enhance precision medicine.

Simultaneous detection of multiple microRNAs based on fluorescence resonance energy transfer under a single excitation wavelength

MicroRNAs (miRNAs) play a key role in physiological processes, and their dysregulation is closely related to various human diseases. Simultaneous detection of multiple miRNAs is pivotal to cancer diagnosis at an early stage. However, most multicomponent analyses generally involve multiple excitation wavelengths, which are complicated and often challenging to simultaneously acquire multiple detection signals. In this study, a convenient and sensitive sensor was developed to simultaneously detection of multiple miRNAs under a single excitation wavelength through the fluorescence resonance energy transfer between the carbon dots (CDs)/quantum dots (QDs) and graphene oxide (GO). A hybridization chain reaction (HCR) was triggered by miRNA-141 and miRNA-21, resulting in the high sensitivity with a limit of detection (LOD) of 50 pM (3σ/k) for miRNA-141 and 60 pM (3σ/k) for miRNA-21. This simultaneous assay also showed excellent specificity discrimination against the mismatch. Furthermore, our proposed method successfully detected miRNA-21 and miRNA-141 in human serum samples at a same time, indicating its diagnostic potential in a clinical setting.

On-Site Multiply Stimulated Self-Confinement of an Integrated DNA Cascade Circuit for Highly Reliable Intracellular Imaging of miRNA and In Situ Interrogation of the Relevant Regulatory Pathway

Artificial DNA circuits represent a versatile yet promising toolbox for in situ monitoring and concomitant regulation of diverse biological events within live cells. Nonetheless, their performance is significantly impeded by the diffusion-dominated slow reaction kinetics and the uncontrollable off-target activation. Herein, a self-localized cascade (SLC) circuit is reported for the robust and efficient microRNA (miRNA) analysis in living cells. The SLC circuit consists of the cell-specific localization module and the analyte-specific signal amplification module. By integrating the reaction probes of these two modules, the complexity of the system is reduced to realize the responsive co-localization of circuitry probes and the simultaneous cascade signal amplification. Taking advantage of the specifically activated, self-localized, and cascade design, the SLC circuit successfully achieves the robust miRNA-21 (miR-21) imaging and the accurate cells differentiation. Moreover, the reverse regulation mechanism is successfully explored between messenger RNA (mRNA) and miRNA through the engineered SLC circuit and further elucidates the underlying signaling pathways between them. Therefore, the SLC circuit provides a powerful tool for the sensitive detection of intracellular biomolecules and the study of the corresponding cell regulatory mechanisms.

Biomedical Utility of Non-Enzymatic DNA Amplification Reaction: From Material Design to Diagnosis and Treatment

Nucleic acid nanotechnology has become a promising strategy for disease diagnosis and treatment, owing to remarkable programmability, precision, and biocompatibility. However, current biosensing and biotherapy approaches by nucleic acids exhibit limitations in sensitivity, specificity, versatility, and real-time monitoring. DNA amplification reactions present an advantageous strategy to enhance the performance of biosensing and biotherapy platforms. Non-enzymatic DNA amplification reaction (NEDAR), such as hybridization chain reaction and catalytic hairpin assembly, operate via strand displacement. NEDAR presents distinct advantages over traditional enzymatic DNA amplification reactions, including simplified procedures, milder reaction conditions, higher specificity, enhanced controllability, and excellent versatility. Consequently, research focusing on NEDAR-based biosensing and biotherapy has garnered significant attention. NEDAR demonstrates high efficacy in detecting multiple types of biomarkers, including nucleic acids, small molecules, and proteins, with high sensitivity and specificity, enabling the parallel detection of multiple targets. Besides, NEDAR can strengthen drug therapy, cellular behavior control, and cell encapsulation. Moreover, NEDAR holds promise for constructing assembled diagnosis-treatment nanoplatforms in the forms of pure DNA nanostructures and hybrid nanomaterials, which offer utility in disease monitoring and precise treatment. Thus, this paper aims to comprehensively elucidate the reaction mechanism of NEDAR and review the substantial advancements in NEDAR-based diagnosis and treatment over the past five years, encompassing NEDAR-based design strategies, applications, and prospects.

Dynamic Nanostructure-Based DNA Logic Gates for Cancer Diagnosis and Therapy

DNA logic gates with dynamic nanostructures have made a profound impact on cancer diagnosis and treatment. Through programming the dynamic structure changes of DNA nanodevices, precise molecular recognition with signal amplification and smart therapeutic strategies have been reported. This enhances the specificity and sensitivity of cancer theranostics, and improves diagnosis precision and treatment outcomes. This review explores the basic components of dynamic DNA nanostructures and corresponding DNA logic gates, as well as their applications for cancer diagnosis and therapies. The dynamic DNA nanostructures would contribute to cancer early detection and personalized treatment.

Ultrasensitive Electrochemical Biosensor with Powerful Triple Cascade Signal Amplification for Detection of MicroRNA

In this work, by ingeniously integrating catalytic hairpin assembly (CHA), double-end Mg2+-dependent DNAzyme, and hybridization chain reaction (HCR) as a triple cascade signal amplifier, an efficient concatenated CHA-DNAzyme-HCR (CDH) system was constructed to develop an ultrasensitive electrochemical biosensor with a low-background signal for the detection of microRNA-221 (miRNA-221). In the presence of the target miRNA-221, the CHA cycle was initiated by reacting with hairpins H1 and H2 to form DNAzyme structure H1-H2, which catalyzed the cleavage of the substrate hairpin H0 to release two output DNAs (output 1 and output 2). Subsequently, the double-loop hairpin H fixed on the electrode plate was opened by the output DNAs, to trigger the HCR with the assistance of hairpins Ha and Hb. Finally, methylene blue was intercalated into the long dsDNA polymer of the HCR product, resulting in a significant electrochemical signal. Surprisingly, the double-loop structure of the hairpin H could prominently reduce the background signal for enhancing the signal-to-noise ratio (S/N). As a proof of concept, an ultrasensitive electrochemical biosensor was developed using the CDH system with a detection limit as low as 9.25 aM, achieving favorable application for the detection of miRNA-221 in various cancer cell lysates. Benefiting from its enzyme-free, label-free, low-background, and highly sensitive characteristics, the CDH system showed widespread application potential for analyzing trace amounts of biomarkers in various clinical research studies.

Cell Membrane-Anchored AND Logic Gate Aptasensor for Tumor Cell-Specific Imaging with Improved Accuracy

Accurate and rapid imaging of tumor cells is of vital importance for early cancer diagnosis and intervention. Aptamer-based fluorescence sensors have become a potent instrument for bioimaging, while false positives and on-target off-tumors linked to single-biomarker aptasensors compromise the specificity and sensitivity of cancer imaging. In this paper, we describe a sequential response aptasensor for precise cancer cell identification that is based on a DNA "AND" logic gate. Specifically, the sensor consists of three single-stranded DNA, including the P-strand that can sensitively respond to an acid environment, the L-strand containing the ATP aptamer sequence, and the R-strand for target cell anchoring. These DNA strands hybridize with one another to create a Y-shaped structure (named Y-ALGN). The aptamer in the R-strand is utilized to anchor the sensor to the target cell membrane primarily. Responding to the extracellular acidic environment of the tumor (input 1), the I-motif sequence forms a tetramer structure so that the P-strand is released from the Y-shaped structure and exposes the ATP binding sites in the L-strand. Extracellular ATP, as input 2, continuously operates the DNA aptasensor to complete the logic computation. Upon the sequential response of both protons and ATP molecules, the aptasensor is activated with restored fluorescence on a particular cancer cell membrane. Benefiting from the precise computation capacity of the "AND" logic gate, the Y-ALGN aptasensor can distinguish between MCF-7 cells and normal cells with high accuracy. As a simple and dual-stimuli-responsive strategy, this nanodevice would offer a fresh approach for accurately diagnosing tumor cells.

Cascaded and Localized Assembly of DNA Nanospheres for Efficient mRNA Imaging

The pursuit of advanced mRNA detection methods has been driven by the need for sensitive, accurate approaches that are particularly suited for live-cell analysis. Herein, we proposed a cascaded and localized assembly (CLA) system, integrating branched catalytic hairpin assembly (bCHA) with a localized hybridization chain reaction (LHCR) for enhanced mRNA imaging. The CLA system employed a dual-nanosphere (NS) platform, NSABC and NS12, and the interaction between the target and NSABC initiated the bCHA process and activated a split trigger. The newly generated trigger served as the initiator for the LHCR on NS12, leading to amplified fluorescent signals. Notably, this work introduced the first integration of a splitting strategy in a bCHA-HCR cascaded system, reducing false-positive signals and enhancing specific detection. The dual-NS platform further minimized background noise and improved the reaction kinetics through spatial confinement. As a result, the system achieved a detection limit of 1.23 pM. With these advantages, the CLA system demonstrated successful application in both living cells and clinical tissues, underscoring its potential in biomolecular research and clinical diagnostics.

Dual-Function DNA Nanowires with Self-Feedback Amplification and Efficient Signal Transduction for Intracellular Imaging of MicroRNA-155

Intracellular detection and imaging of microRNAs (miRNAs) with low expression usually face the problem of unsatisfactory sensitivity. Herein, a novel dual-function DNA nanowire (DDN) with self-feedback amplification and efficient signal transduction was developed for the sensitive detection and intracellular imaging of microRNA-155 (miRNA-155). Target miRNA-155 triggered catalytic hairpin assembly (CHA) to generate plenty of double-stranded DNA (dsDNA), and a trigger primer exposed in dsDNA initiated a hybridization chain reaction (HCR) between four well-designed hairpins to produce DDN, which was encoded with massive target sequences and DNAzyme. On the one hand, target sequences in DDN acted as self-feedback amplifiers to reactivate cascaded CHA and HCR, achieving exponential signal amplification. On the other hand, DNAzyme encoded in DDN acted as signal transducers, successively cleaving Cy5 and BHQ-2 labeled substrate S to obtain a significantly enhanced fluorescence signal. This efficient signal transduction coupling self-feedback amplification greatly improved the detection sensitivity with a limit of detection of 160 aM for miRNA-155, enabling ultrasensitive imaging of low-abundance miRNA-155 in living cells. The constructed DDN creates a promising fluorescence detection and intracellular imaging platform for low-expressed biomarkers, exhibiting tremendous potential in biomedical studies and clinical diagnosis of diseases.

Construction of Multiply Guaranteed DNA Sensors for Biological Sensing and Bioimaging Applications

Nucleic acids exhibit exceptional functionalities for both molecular recognition and catalysis, along with the capability of predictable assembly through strand displacement reactions. The inherent programmability and addressability of DNA probes enable their precise, on-demand assembly and accurate execution of hybridization, significantly enhancing target detection capabilities. Decades of research in DNA nanotechnology have led to advances in the structural design of functional DNA probes, resulting in increasingly sensitive and robust DNA sensors. Moreover, increasing attention has been devoted to enhancing the accuracy and sensitivity of DNA-based biosensors by integrating multiple sensing procedures. In this review, we summarize various strategies aimed at enhancing the accuracy of DNA sensors. These strategies involve multiple guarantee procedures, utilizing dual signal output mechanisms, and implementing sequential regulation methods. Our goal is to provide new insights into the development of more accurate DNA sensors, ultimately facilitating their widespread application in clinical diagnostics and assessment.

An Exo III-powered closed-loop DNA circuit architecture for biosensing/imaging

With their regulated Boolean logic operations in vitro and in vivo, DNA logic circuits have shown great promise for target recognition and disease diagnosis. However, significant obstacles must be overcome to improve their operational efficiency and broaden their range of applications. In this study, we propose an Exo III-powered closed-loop DNA circuit (ECDC) architecture that integrates four highly efficient AND logic gates. The ECDC utilizes Exo III as the sole enzyme-activated actuator, simplifying the circuit design and ensuring optimal performance. Moreover, the use of Exo III enables a self-feedback (autocatalytic) mechanism in the dynamic switching between AND logic gates within this circulating logic circuit. After validating the signal flow and examining the impact of each AND logic gate on the regulation of the circuit, we demonstrate the intelligent determination of miR-21 using the carefully designed ECDC architecture in vitro. The proposed ECDC exhibits a linear detection range for miR-21 from 0 to 300 nM, with a limit of detection (LOD) of approximately 0.01 nM, surpassing most reported methods. It also shows excellent selectivity for miR-21 detection and holds potential for identifying and imaging live cancer cells. This study presents a practical and efficient strategy for monitoring various nucleic acid-based biomarkers in vitro and in vivo through specific sequence modifications, offering significant potential for early cancer diagnosis, bioanalysis, and prognostic clinical applications.

Intelligent Cell Profiling and Precision Release: Multimolecular Marker-Activated Transmembrane DNA Computing Nanosystem

Accurate classification of tumor cells is of importance for cancer diagnosis and further therapy. In this study, we develop multimolecular marker-activated transmembrane DNA computing systems (MTD). Employing the cell membrane as a native gate, the MTD system enables direct signal output following simple spatial events of "transmembrane" and "in-cell target encounter", bypassing the need of multistep signal conversion. The MTD system comprises two intelligent nanorobots capable of independently sensing three molecular markers (MUC1, EpCAM, and miR-21), resulting in comprehensive analysis. Our AND-AND logic-gated system (MTDAND-AND) demonstrates exceptional specificity, allowing targeted release of drug-DNA specifically in MCF-7 cells. Furthermore, the transformed OR-AND logic-gated system (MTDOR-AND) exhibits broader adaptability, facilitating the release of drug-DNA in three positive cancer cell lines (MCF-7, HeLa, and HepG2). Importantly, MTDAND-AND and MTDOR-AND, while possessing distinct personalized therapeutic potential, share the ability of outputting three imaging signals without any intermediate conversion steps. This feature ensures precise classification cross diverse cells (MCF-7, HeLa, HepG2, and MCF-10A), even in mixed populations. This study provides a straightforward yet effective solution to augment the versatility and precision of DNA computing systems, advancing their potential applications in biomedical diagnostic and therapeutic research.

AND-Logic Cascade Rolling Circle Amplification for Optomagnetic Detection of Dual Target SARS-CoV-2 Sequences

DNA logic operations are accurate and specific molecular strategies that are appreciated in target multiplexing and intelligent diagnostics. However, most of the reported DNA logic operation-based assays lack amplifiers prior to logic operation, resulting in detection limits at the subpicomolar to nanomolar level. Herein, a homogeneous and isothermal AND-logic cascade amplification strategy is demonstrated for optomagnetic biosensing of two different DNA inputs corresponding to a variant of concern sequence (containing spike L452R) and a highly conserved sequence from SARS-CoV-2. With an "amplifiers-before-operator" configuration, two input sequences are recognized by different padlock probes for amplification reactions, which generate amplicons used, respectively, as primers and templates for secondary amplification, achieving the AND-logic operation. Cascade amplification products can hybridize with detection probes grafted onto magnetic nanoparticles (MNPs), leading to hydrodynamic size increases and/or aggregation of MNPs. Real-time optomagnetic MNP analysis offers a detection limit of 8.6 fM with a dynamic detection range spanning more than 3 orders of magnitude. The accuracy, stability, and specificity of the system are validated by testing samples containing serum, salmon sperm, a single-nucleotide variant, and biases of the inputs. Clinical samples are tested with both quantitative reverse transcription-PCR and our approach, showing highly consistent measurement results.

A universal orthogonal imaging platform for living-cell RNA detection using fluorogenic RNA aptamers

MicroRNAs (miRNAs) are crucial regulators of gene expression at the post-transcriptional level, offering valuable insights into disease mechanisms and prospects for targeted therapeutic interventions. Herein, we present a class of miRNA-induced light-up RNA sensors (miLS) that are founded on the toehold mediated principle and employ the fluorogenic RNA aptamers Pepper and Squash as imaging modules. By incorporating a sensor switch to disrupt the stabilizing stem of these aptamers, our design offers enhanced flexibility and convertibility for different target miRNAs and aptamers. These sensors detect multiple miRNA targets (miR-21 and miR-122) with detection limits of 0.48 and 0.2 nM, respectively, while achieving a robust signal-to-noise ratio of up to 44 times. Capitalizing on the distinct fluorescence imaging channels afforded by Pepper-HBC620 (red) and Squash-DFHBI-1T (green), we establish an orthogonal miRNA activation imaging platform, enabling the simultaneous visualization of different intracellular miRNAs in living cells. Our dual-color orthogonal miLS imaging platform provides a powerful tool for sequence-specific miRNA imaging in different cells, opening up new avenues for studying the intricate functions of RNA in living cells.

Low-Background CRISPR/Cas12a Sensors for Versatile Live-Cell Biosensing

The trans-cleavage activity of CRISPR/Cas12a has been widely used in biosensing. However, many CRISPR/Cas12a-based biosensors, especially those that work in "on-off-on" mode, usually suffer from high background and thus impossible intracellular application. Herein, this problem is efficiently overcome by elaborately designing the activator strand (AS) of CRISPR/Cas12a using the "RESET" effect found by our group. The activation ability of the as-designed AS to CRISPR/Cas12a can be easily inhibited, thus assuring a low background for subsequent biosensing applications, which not only benefits the detection sensitivity improvement of CRISPR/Cas12a-based biosensors but also promotes their applications in live cells as well as makes it possible to design high-performance biosensors with greatly improved flexibility, thus achieving the analysis of a wide range of targets. As examples, by using different strategies such as strand displacement, strand cleavage, and aptamer-substrate interaction to reactivate the inhibited enzyme activity, several CRISPR/Cas12a-based biosensing systems are developed for the sensitive and specific detection of different targets, including nucleic acid (miR-21), biological small molecules (ATP), and enzymes (hOGG1), giving the detection limits of 0.96 pM, 8.6 μM, and 8.3 × 10-5 U/mL, respectively. Thanks to the low background, these biosensors are demonstrated to work well for the accurate imaging analysis of different biomolecules in live cells. Moreover, we also demonstrate that these sensing systems can be easily combined with lateral flow assay (LFA), thus holding great potential in point-of-care testing, especially in poorly equipped or nonlaboratory environments.