Twisted DNA Origami-Based Chiral Monolayers for Spin Filtering.

DNA monolayers with inherent chirality play a pivotal role across various domains including biosensors, DNA chips, and bioelectronics. Nonetheless, conventional DNA chiral monolayers, typically constructed from single-stranded DNA (ssDNA) or double-stranded DNA (dsDNA), often lack structural orderliness and design flexibility at the interface. Structural DNA nanotechnology has emerged as a promising solution to tackle these challenges. In this study, we present a strategy for crafting highly adaptable twisted DNA origami-based chiral monolayers. These structures exhibit distinct interfacial assembly characteristics and effectively mitigate the structural disorder of dsDNA monolayers, which is constrained by a limited persistence length of ∼50 nm of dsDNA. We highlight the spin-filtering capabilities of seven representative DNA origami-based chiral monolayers, demonstrating a maximal one-order-of-magnitude increase in spin-filtering efficiency per unit area compared with conventional dsDNA chiral monolayers. Intriguingly, our findings reveal that the higher-order tertiary chiral structure of twisted DNA origami further enhances the spin-filtering efficiency. This work paves the way for the rational design of DNA chiral monolayers.

trans-Cleavage of the CRISPR-Cas12a-aptamer system for one-step antigen detection.

Rapid detection of prostate-specific antigen (PSA) is pivotal for the early screening of prostate cancer (PCa). Here, we devise a one-step, amplification-free fluorescent detection strategy for PSA, employing the trans-cleavage principle of a CRISPR-Cas12a-aptamer system. This method offers a linear range of 0.31-5 ng mL-1 and a detection limit of 0.16 ng mL-1. The high-confidence quantification of PSA is demonstrated through the analysis of real samples, effectively distinguishing between PCa patients and healthy individuals.

DNA-framework-based multidimensional molecular classifiers for cancer diagnosis.

A molecular classification of diseases that accurately reflects clinical behaviour lays the foundation of precision medicine. The development of in silico classifiers coupled with molecular implementation based on DNA reactions marks a key advance in more powerful molecular classification, but it nevertheless remains a challenge to process multiple molecular datatypes. Here we introduce a DNA-encoded molecular classifier that can physically implement the computational classification of multidimensional molecular clinical data. To produce unified electrochemical sensing signals across heterogeneous molecular binding events, we exploit DNA-framework-based programmable atom-like nanoparticles with n valence to develop valence-encoded signal reporters that enable linearity in translating virtually any biomolecular binding events to signal gains. Multidimensional molecular information in computational classification is thus precisely assigned weights for bioanalysis. We demonstrate the implementation of a molecular classifier based on programmable atom-like nanoparticles to perform biomarker panel screening and analyse a panel of six biomarkers across three-dimensional datatypes for a near-deterministic molecular taxonomy of prostate cancer patients.

Construction of NaYF4 Library for Morphology-Controlled Multimodality Applications.

Morphology and size of the nanoparticles are highly related to the properties; establishing a library to summarize the relationship between the morphology/size and property is very helpful for associated applications. However, the NaYF4 library and thus the correlation between the morphology and property are still absent. Here NaYF4 library is presented and their morphologies and structures are illustrated at atomic scale for the first time. How about the crystal formation affects the morphology is further used to guide the property. Through rational doping, upconversion luminescence, magnetic resonance (MR) and computed tomography are investigated with the nanoprisms, nanoflowers, and nanoplates as models to reveal the effect of the size and morphology. The difference of the properties provides strong evidence on the importance of the library. In particular, the "imperfect structure" of nanoflower is observed on atomic scale and enhances the MR response. The different upconversion intensity ratio for the emissions at 475 and 693 nm is observed from doped NaYF4 with different morphology. Thus, controllable fabrication of NaYF4 with desired morphology is indispensable to achieve the optimal properties as the guidance on how to choose matrix from the library to meet the specific applications.

Nucleic Acid Tests for Clinical Translation.

Nucleic acids, including deoxyribonucleic acid (DNA) and ribonucleic acid (RNA), are natural biopolymers composed of nucleotides that store, transmit, and express genetic information. Overexpressed or underexpressed as well as mutated nucleic acids have been implicated in many diseases. Therefore, nucleic acid tests (NATs) are extremely important. Inspired by intracellular DNA replication and RNA transcription, in vitro NATs have been extensively developed to improve the detection specificity, sensitivity, and simplicity. The principles of NATs can be in general classified into three categories: nucleic acid hybridization, thermal-cycle or isothermal amplification, and signal amplification. Driven by pressing needs in clinical diagnosis and prevention of infectious diseases, NATs have evolved to be a rapidly advancing field. During the past ten years, an explosive increase of research interest in both basic research and clinical translation has been witnessed. In this review, we aim to provide comprehensive coverage of the progress to analyze nucleic acids, use nucleic acids as recognition probes, construct detection devices based on nucleic acids, and utilize nucleic acids in clinical diagnosis and other important fields. We also discuss the new frontiers in the field and the challenges to be addressed.

Programming folding cooperativity of the dimeric i-motif with DNA frameworks for sensing small pH variations.

The response sensitivity of a molecular sensor is determined by the folding cooperativity of its responsive module. Using an H+-responsive dimeric DNA i-motif as a model, we demonstrate the enhancement of its folding cooperativity through preorganization by a DNA framework, and with it we fabricate robust intracellular pH sensors with high response sensitivity.

Novel aptasensor-based assay of sonic hedgehog ligand for detection of portal vein invasion of hepatocellular carcinoma.

The high expression of sonic hedgehog ligand (SHh) is closely correlated to the metastasis, drug resistance and poor prognosis of hepatocellular carcinoma (HCC). Therefore, sensitive, specific and efficient detection methods for SHh are needed for the early diagnosis and assessment of prognosis. Herein, an aptamer, AP32 that specifically binds to SHh (KD = 25.7 ± 4.1 nM) was obtained by SELEX technology with further optimization. In vivo experiments confirmed that AP32 has the potential to be an imaging probe for Huh-7 cell-derived xenograft. The interaction mode in 3-dimensional configuration between the aptamer and SHh was established by molecular simulation and confirmed by mutations at key sites of the aptamer. An aptasensor-based assay was successfully developed by conjugating Texas-Red-labeled AP32 to microbeads, and was used to analyze SHh content in hepatoma cell lysates, serum and HCC specimens. The method exhibited a broad detection range from 0.07 to 62.5 nM with a low detection limit of 69 pM, and a recovery rate of 104.6 ± 3.9% in serum. When the assay was used to measure SHh content in tissue lysates, the results demonstrated that it possessed 57.1% positivity, 100% specificity in distinguishing 28 HCC specimens from normal tissues, and was compensatory for detection of HCC in AFP-negative cases. Moreover, elevated SHh levels are indicative of portal vein invasion at 77.8% positive rate. This novel aptasensor-based SHh assay may offer a reliable means in predicting early metastasis and poor prognosis in hepatocellular carcinoma.

DNA Framework-Based Topological Cell Sorters.

Molecular recognition in cell biological process is characterized with specific locks-and-keys interactions between ligands and receptors, which are ubiquitously distributed on cell membrane with topological clustering. Few topologically-engineered ligand systems enable the exploration of the binding strength between ligand-receptor topological organization. Herein, we generate topologically controlled ligands by developing a family of tetrahedral DNA frameworks (TDFs), so the multiple ligands are stoichiometrically and topologically arranged. This topological control of multiple ligands changes the nature of the molecular recognition by inducing the receptor clustering, so the binding strength is significantly improved (ca. 10-fold). The precise engineering of topological complexes formed by the TDFs are readily translated into effective binding control for cell patterning and binding strength control of cells for cell sorting. This work paves the way for the development of versatile design of topological ligands.

DNA Framework-Programmed Cell Capture via Topology-Engineered Receptor-Ligand Interactions.

Receptor-ligand interactions (RLIs) that play pivotal roles in living organisms are often depicted with the classic keys-and-locks model. Nevertheless, RLIs on the cell surface are generally highly complex and nonlinear, partially due to the noncontinuous and dynamic distribution of receptors on extracellular membranes. Here, we develop a tetrahedral DNA framework (TDF)-programmed approach to topologically engineer RLIs on the cell membrane, which enables active recruitment-binding of clustered receptors for high-affinity capture of circulating tumor cells (CTCs). The four vertices of a TDF afford orthogonal anchoring of ligands with spatial organization, based on which we synthesized n-simplexes harboring 1-3 aptamers targeting epithelial cell adhesion molecule (EpCAM) that are overexpressed on the membrane of tumor cells. The 2-simplex with three aptamers not only shows increased binding affinity (∼19-fold) but prevents endocytosis by cells. By using 2-simplex as the capture probe, we demonstrate the high-efficiency CTC capture, which is challenged in real clinical breast cancer patient samples. This TDF-programmed platform thus provides a powerful means for studying RLIs in physiological settings and for cancer diagnosis.

Strong dual emission in covalent organic frameworks induced by ESIPT.

Here we reveal the effects of hydrogen bonds and alkyl groups on the structure and emission of covalent organic frameworks (COFs). Hydrogen bonds improve molecular rigidity leading to high crystallinity and restrict intramolecular rotation to enhance the emission of COFs. An excited-state intramolecular proton transfer (ESIPT) effect for dual emission is achieved via the intramolecular hydrogen bonds between hydroxyl groups and imine bonds. Alkyl groups increase interlayer spacing as a natural "scaffold" and achieve a staggered AB stacking mode to decrease aggregation-caused quenching. Based on the above guidance, COF-4-OH with strong emission is prepared with 2,4,6-triformylphloroglucinol (TFP) and 9,9-dibutyl-2,7-diaminofluorene (DDAF). Strong dual emission is observed and used to differentiate organic solvents with different polarities, to determine the water content in organic solvents, and to detect different pH levels. Our work serves as a guide for the rational design of functional monomers for the preparation of emissive COFs.

Stimuli-Responsive DNA-Switchable Biointerfaces.

Switchable interfaces, also known as smart interfaces, can alter their macroscopic properties in response to external stimuli. Compared to an artificial switchable interface, DNA-based switchable biointerfaces have high diversity, uniformity, reproducibility, and functionality and are easily designed and developed with atomic precision because the sequence of the DNA strand strictly governs the structural and active properties of its assembly. Moreover, various structures such as double strands based on the Watson-Crick base-pairing rule, G-quadruplexes, i-Motifs, triplexes, and parallel-stranded duplexes exist between or among DNA strands to enrich the structures of DNA biointerfaces. In this article, the design, stimulus responses, and applications of switchable DNA biointerfaces were discussed in terms of single-switch, dual-response, and sequential operation. The applications related to sensing, imaging, delivery, logic gates, and nanomechines were introduced in terms of the design and construction of DNA biointerfaces. Future directions and challenges were also outlined for this rapidly emerging field.

Ultrasensitive Simultaneous Detection of Multiplex Disease-Related Nucleic Acids Using Double-Enhanced Surface-Enhanced Raman Scattering Nanosensors.

Developing ultrasensitive probes holds great significance for simultaneous detection of multiplexed cancer-associated nucleic acids. Bimetallic nanoparticles containing silver may be exploited as nanoprobes for disease detection, which can produce stable and strong surface-enhanced Raman scattering (SERS) signals. However, it remains extremely challenging that such SERS nanoprobes are directly synthesized. Herein gold-silver nanosnowmen, grown via a DNA-mediated approach and attached to thiol-containing Raman dyes, are successfully synthesized. Stable SERS-enhanced gold substrates are also prepared and used as the enriching containers, where the capture DNAs are tethered to sense the target genes jointly enhanced by the SERS nanoprobes in a sandwich hybridization assay. This means detection of the target gene can obtain a limit of detection close to 0.839 fM. Such double-enhanced SERS nanosensors are further employed to simultaneously detect the three types of prostate carcinoma-related genes with high sensitivity and specificity, which meanwhile exhibit robust capacity of resisting disturbance in practical samples. Simultaneous and multiplexed detection of cancer-related genes may provide further biomedical applications with new opportunity.

Trace MicroRNA Quantification by Means of Plasmon-Enhanced Hybridization Chain Reaction.

Quantifying trace microRNAs (miRNAs) is extremely important in a number of biomedical applications but remains a great challenge. Here we present an enzyme-free amplification strategy called plasmon-enhanced hybridization chain reaction (PE-HCR) for quantifying trace miRNAs with an outstanding linear range from 1 fM to 1 pM (r(2) = 0.991), along with a detection limit of 0.043 fM (1300 molecules in 50 µL of sample). The merits of the PE-HCR assay, including high sensitivity and specificity, quantitative detection, no enzyme involvement, low false positives, and easy-to-operate procedures, have been demonstrated for high-confidence quantification of the contents of miRNAs in even single cancer cells. The PE-HCR assay may open up new avenues for highly sensitive quantification of biomarkers and thus should hold great potentials in clinical diagnosis and prognosis.