ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
DNA Molecular Computing with Weighted Signal Amplification for Cancer miRNA Biomarker Diagnostics.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Direct visualization of RNA virus and evaluation of drug effect in living cells by catalytically transformable DNA cube.Science advances · 2026Article
- Recognition, Signal Transduction, and Amplification of Nucleic Acids Under Isothermal Condition.Advanced genetics (Hoboken, N.J.) · 2026Article
- A TtAgo-Driven Autocatalytic Circuit with Thermal-Enhanced Kinetics for One-Pot Nucleic Acid Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Spatial fluorescence barcode by transiently luminescent DNA beads.Nature communications · 2025Article
- Functions and applications of enzymes in nucleic acid nanotechnology.Journal of nanobiotechnology · 2025Review
- Programmable DNA-Based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Advances in Research on Isothermal Signal Amplification Mediated MicroRNA Detection of Clinical Samples: Application to Disease Diagnosis.Biosensors · 2025Review
- DNA Molecular Computing with Weighted Signal Amplification for Cancer miRNA Biomarker Diagnostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- MiR-4664-3p as a potential diagnostic, prognostic, and immunotherapeutic biomarker in NSCLC: modulation of tumor progression through CD8 + T cell regulation.Frontiers in oncology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The expression levels of microRNAs (miRNAs) are strongly linked to cancer progression, making them promising biomarkers for cancer detection. Enzyme-free signal amplification DNA circuits have facilitated the detection of low-abundance miRNAs. However, these methods may neglect the diagnostic value (or weight) of different miRNAs. Here, a molecular computing approach with weighted signal amplification is presented. Polymerase-mediated strand displacement is employed to assign weights to target miRNAs, reflecting the miRNAs' diagnostic values, followed by amplification of the weighted signals using localized DNA catalytic hairpin assembly. This method is applied to diagnose miRNAs for non-small cell lung cancer (NSCLC). Machine learning is used to identify NSCLC-specific miRNAs and assign corresponding weights for optimum classification of healthy and lung cancer individuals. With the molecular computing of the miRNAs, the diagnostic output is simplified as a single channel of fluorescence intensity. Cancer tissues (n = 18) and adjacent cancer tissues (n = 10) are successfully classified within 2.5 h (sample-to-result) with an accuracy of 92.86%. The weighted amplification strategy has the potential to extend to the digital detection of multidimensional biomarkers, advancing personalized disease diagnostics in point-of-care settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.