Intracellular Entropy‐Driven Multi‐Bit DNA Computing for Tumor Progression Discrimination

Catalytic hairpin assembly-assisted dual-signal amplification platform for ultrasensitive detection of tumor markers and intelligent diagnosis of gastric cancer

Quantification of extracellular tumor markers has shown great promise for non-invasive cancer diagnosis. Combined detection of multiple tumor markers instead of a single one is valuable for accurate diagnosis. Here, we integrate CRISPR-Cas12a with DNA catalytic hairpin assembly (CHA) to doubly amplify the output signal for detecting microRNA-182 (miR-182), which is overexpressed by gastric cancer patients. Additionally, we develop a CHA system with self-replicating capacity (SRCHA) to realize dual-signal amplification for the detection of carcinoembryonic antigen (CEA), a broad-spectrum tumor marker. The proposed cascade amplification strategies enable ultrasensitive detection of miR-182 and CEA with low LODs of 0.063 fM and 4.8 pg mL^-1, respectively. Moreover, we design a ternary "AND" logic gate using different concentrations of miR-182 and CEA as inputs, which demonstrates intelligent diagnosis of gastric cancer staging with a high accuracy of 93.3% in a clinical cohort of 30 individuals. Overall, our study expands the application of CRISPR-Cas12a in biosensing and provides a new diagnostic strategy for non-invasive liquid biopsy of gastric cancer before resorting to a traumatic tissue biopsy.

CRISPR/Cas-Based MicroRNA Biosensors

As important post-transcriptional regulators, microRNAs (miRNAs) play irreplaceable roles in diverse cellular functions. Dysregulated miRNA expression is implicated in various diseases including cancers, and thus miRNAs have become the valuable biomarkers for disease monitoring. Recently, clustered regularly interspaced short palindromic repeats/CRISPR-associated (CRISPR/Cas) system has shown great promise for the development of next-generation biosensors because of its precise localization capability, good fidelity, and high cleavage activity. Herein, we review recent advance in development of CRISPR/Cas-based biosensors for miRNA detection. We summarize the principles, features, and performance of these miRNA biosensors, and further highlight the remaining challenges and future directions.

Logical Analysis of Multiple Single-Nucleotide-Polymorphisms with Programmable DNA Molecular Computation for Clinical Diagnostics

Analyzing complex single-nucleotide-polymorphism (SNP) combinations in the genome is important for research and clinical applications, given that different SNP combinations can generate different phenotypic consequences. Recent works have shown that DNA-based molecular computing is powerful for simultaneously sensing and analyzing complex molecular information. Here, we designed a switching circuit-based DNA computational scheme that can integrate the sensing of multiple SNPs and simultaneously perform logical analysis of the detected SNP information to directly report clinical outcomes. As a demonstration, we successfully achieved automatic and accurate identification of 21 different blood group genotypes from 83 clinical blood samples with 100 % accuracy compared to sequencing data in a more rapid manner (3 hours). Our method enables a new mode of automatic and logical sensing and analyzing subtle molecular information for clinical diagnosis, as well as guiding personalized medication.

Sensitive Logic Nanodevices with Strong Response for Weak Inputs

Sensitive sensing is critical when developing new calculation systems with weak input signals (ISs). In this work, a "weak-inputs-strong-outputs" strategy was proposed to guide the construction of sensitive logic nanodevices by coupling an input-induced reversible DNA computing platform with a hybridization chain reaction-based signal amplifier. By rational design of the sequence of computing elements (CEs) so as to avoid cross-talking between ISs and signal amplifier, the newly formed logic nanodevices have good sensitivity to the weak ISs even at low concentrations of CEs, and are able to perform YES, OR, NAND, NOR, INHIBIT, INHIBIT-OR and number classifier operation, showing that the DNA calculation proceeds in dilute solution medium that greatly improves the calculation proficiency of logic nanodevices without the confinement of the lithography process in nanotechnology.

Addition-Elimination Mechanism-Activated Nucleotide Transition Sequencing for RNA Dynamics Profiling

Dynamic information of intracellular transcripts is essential to understand their functional roles. Routine RNA-sequencing (RNA-seq) methods only measure RNA species at a steady state and do not provide RNA dynamic information. Here, we develop addition-elimination mechanism-activated nucleotide transition sequencing (AENT-seq) for transcriptome-wide profiling of RNA dynamics. In AENT-seq, nascent transcripts are metabolically labeled with 4-thiouridine (4sU). The total RNA is treated with N₂H₄·H₂O under aqueous conditions. N₂H₄·H₂O is demonstrated to convert 4sU to 4-hydrazino cytosine (C*) based on an addition-elimination chemistry. C* is regarded as cytosine (C) during the DNA extension process. This 4sU-to-C transition marks nascent transcripts, so it enables sequencing analysis of RNA dynamics. We apply our AENT-seq to investigate transcript dynamic information of several genes involved in cancer progression and metastasis. This method uses a simple chemical reaction in aqueous solutions and will be rapidly disseminated with extensive applications.

Engineering a Second-Order DNA Logic-Gated Nanorobot to Sense and Release on Live Cell Membranes for Multiplexed Diagnosis and Synergistic Therapy

Tumor biomarker-based theranostics have achieved broad interest and success in recent years. However, single biomarker-based recognition can cause false-positive feedback, including the on-target off-tumor phenomenon, in the absence of tumor-specific antigen. Multibiomarker-based recognition molecules often elicit nonspecific and undesired internalization when they bind to "bystander" cells. We report a universal DNA tetrahedral scaffold (DTS) that anchors on the cell membrane to load multiple aptamers and therapeutics for precise and effective theranostics. This DNA logic-gated nanorobot (DLGN) not only facilitates precise discrimination among five cell lines, but also triggers synergistic killing of effector aptamer-tethered synergistic drugs (EASDs) to target cancer cells. Logic-gated recognition integrated into aptamer-functionalized molecular machines will prompt fast tumor profiling, in situ capture and isolation, and safe delivery of precise medicine.

Spherical Nucleic Acid Mediated Functionalization of Polydopamine-Coated Nanoparticles for Selective DNA Extraction and Detection

Magnetic nanoparticles have been widely used for the separation of biomolecules for biological applications due to the mild and efficient separation process. In previous studies, core-shell magnetic nanoparticles (NPs) were designed for DNA extraction without much sequence specificity. In this work, to achieve highly selective DNA extraction, we designed a core-shell magnetic structure by coating polydopamine (PDA) on Fe₃O₄ NPs. Without divalent metal ions, PDA does not adsorb DNA at neutral pH. The Fe₃O₄@PDA NPs were then functionalized with spherical nucleic acids (SNA) to provide a high density of probe DNA. Fe₃O₄@PDA@SNA was also compared with when a linear SH-DNA was covalently attached to the NPs surface, showing a higher density of the probe SNA than SH-DNA can be loaded on the NPs in a remarkably shorter time. Nonspecific DNA extraction was thoroughly inhibited by both probes. DNA extraction by the Fe₃O₄@PDA@SNA was more effective as well as 5-fold faster than by the Fe₃O₄@PDA@SH-DNA, probably due to the favorable standing conformation of DNA strands in SNA. Moreover, extraction by Fe₃O₄@PDA@SNA showed high robustness in fetal bovine serum, and the same design can be used for selective detection of DNA. Finally, the method was also demonstrated on silica NPs and WS₂ nanosheets for coating with PDA and SNA. Altogether, our findings revealed an interesting and general surface modification strategy using PDA@SNA conjugates for sequence-specific DNA extraction.