NP14 aptamer: A novel biosensing recognition element for mutation-resilient SARS-CoV-2 detection
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NP14 aptamer: A novel biosensing recognition element for mutation-resilient SARS-CoV-2 detection

26/05/2026 Compuscript Ltd

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a significant global health threat, largely due to its rapid evolution and high mutation rate, which often compromises the performance of existing molecular diagnostics. While conventional double-antibody sandwich immunoassays are widely used for rapid testing, their effectiveness is frequently hindered by structural steric hindrance and limited sensitivity when detecting small viral components like the nucleocapsid (N) protein.

This new research, published in the Genes & Diseases journal by a team from Hunan University, Texas A&M University Colleges of Medicine and Pharmacy, Baylor College of Medicine, and The University of Texas, investigated a novel DNA aptamer, NP14, and developed an innovative dual-mode biosensing platform to achieve highly sensitive, mutation-resilient viral detection.

Using a computer-assisted X-aptamer Systematic Evolution of Ligands by EXponential enrichment (SELEX) strategy, the researchers successfully identified NP14, a high-affinity DNA aptamer that specifically targets the N-terminal domain of the SARS-CoV-2 N protein. Comprehensive molecular docking, targeted mutagenesis, and structural analyses revealed that the nucleotides C24 and G27 within the P1 region of the aptamer act as critical determinants for its exceptional target recognition.

Building upon this robust binding mechanism, the research team engineered an advanced multicolor dynamic light scattering-enhanced enzyme-linked aptamer-antibody assay (MD ELAAA). This system seamlessly synergizes two complementary detection techniques: non-aggregative plasmonic colorimetry for rapid naked-eye visual screening and dynamic light scattering (DLS) for ultrasensitive quantitative analysis. Within this platform, alkaline phosphatase-catalyzed reactions trigger the highly localized deposition of silver onto specialized gold nanoflowers (AuNFs), robustly amplifying both the optical colorimetric and light scattering signals.

Remarkably, rigorous analytical testing confirmed that this integrated dual-mode platform exhibits broad-spectrum recognition across multiple diverse SARS-CoV-2 variants and achieves an astonishingly low limit of detection of 0.43 TCID50/mL. This remarkable performance represents a striking 47-fold sensitivity improvement over traditional antibody-based detection methods, successfully allowing for the precise quantification of trace, low-abundance antigens in virus cultures.

While these collective data robustly highlight the critical advantage of combining customized aptamer-antibody interactions with localized plasmonic signal amplification, additional real-world clinical diagnostic studies are necessary to fully integrate this dynamic system into routine point-of-care settings.

In conclusion, deploying the high-affinity NP14 aptamer within the sophisticated MD ELAAA platform offers a powerful, dual-action diagnostic strategy to simultaneously overcome the rigid limitations of viral mutation evasion and low target antigen concentration. This profound finding positions dual-mode aptamer-driven biosensors as incredibly compelling technological candidates for the next generation of highly reliable infectious disease diagnostics and high-throughput global pandemic surveillance.

Reference

Title of Original Paper: Dual-mode aptamer-driven biosensing platform for ultrasensitive and mutation-resilient detection of the SARS-CoV-2 nucleocapsid protein

Journal: Genes & Diseases
Genes & Diseases is a journal for molecular and translational medicine. The journal primarily focuses on publishing investigations on the molecular bases and experimental therapeutics of human diseases. Publication formats include full length research article, review article, short communication, correspondence, perspectives, commentary, views on news, and research watch.

DOI: https://doi.org/10.1016/j.gendis.2025.101943

Funding Information:
The Natural Science Foundation of Hunan, China (No. 2023JJ30124; No. 2025JJ60169)
The Natural Science Foundation of Chongqing, China (No. CSTB2022NSCQ-MSX1551)
The Natural Science Foundation of Fujian, China (No. 2023J01247)
The Natural Science Foundation of Guangdong, China (No. 2024A1515012771)
The Postdoctoral Fellowship Program of Chinese Postdoctoral Science Foundation (CPSF) (No. GZB20240215)
The Hunan Science and Technology Innovation Plan (No. 2025ZYJ003)
The Corbett Estate Fund for Cancer Research (No. 62285-531021-41800, No. 62285-531021-51800, No. 62285-531021-61800, and No. 62285-531021-71800)

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Genes & Diseases publishes rigorously peer-reviewed and high quality original articles and authoritative reviews that focus on the molecular bases of human diseases. Emphasis is placed on hypothesis-driven, mechanistic studies relevant to pathogenesis and/or experimental therapeutics of human diseases. The journal has worldwide authorship, and a broad scope in basic and translational biomedical research of molecular biology, molecular genetics, and cell biology, including but not limited to cell proliferation and apoptosis, signal transduction, stem cell biology, developmental biology, gene regulation and epigenetics, cancer biology, immunity and infection, neuroscience, disease-specific animal models, gene and cell-based therapies, and regenerative medicine.
Scopus Cite Score: 8.4 | Impact Factor: 9.4

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More information: https://www.keaipublishing.com/en/journals/genes-and-diseases/
Editorial Board: https://www.keaipublishing.com/en/journals/genes-and-diseases/editorial-board/
All issues and articles in press are available online in ScienceDirect (https://www.sciencedirect.com/journal/genes-and-diseases).
Submissions to Genes & Diseases may be made using Editorial Manager (https://www.editorialmanager.com/gendis/default.aspx).
Print ISSN: 2352-4820
eISSN: 2352-3042
CN: 50-1221/R
Contact Us: editor@genesndiseases.cn
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Fichiers joints
  • (A) Schematic illustration of the X-aptamer protein SELEX process for isolating aptamers. (B) Schematic illustration of the ultrasensitive detection of the SARS-CoV-2 N protein via the MD ELAAA platform.
  • (A) Schematic illustration of the modulation of the Ag shell layer thickness in core–shell AuNFs@Ag nanostructures leading to changes in the localized surface plasmon resonance (LSPR) and light scattering intensity. (B) Standard curve of the MD ELAAA method for different SARS-CoV-2 N proteins (0, 0.005, 0.01, 0.02, 0.05, 0.1, 0.5, 1, 2, and 5 ng/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3). (C) Validation was performed using multiple proteins at a concentration of 1 ng/mL, including: SARS-CoV-2 receptor-binding domain (RBD), alpha-fetoprotein (AFP), interleukin-4 (IL-4), bovine serum albumin (BSA), influenza (InFlu) A and B proteins, to validate the specificity of the MD ELAAA platform. Data were presented as mean ± standard deviation of triplicate results (n = 3). The blank control: ns, not significant; ∗∗∗∗p < 0.0001. (D) Standard curve of the MD ELAAA method for SARS-CoV-2 virus cultures at different concentrations (0, 1, 2, 5, 10, 20, 50, 100, and 200 TCID50/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3). (E) Standard curve of the ELAAA method for SARS-CoV-2 virus cultures at different concentrations (0, 10, 20, 50, 100, 200, 300, 500, and 1000 TCID50/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3).
  • (A) Schematic illustration of the modulation of the Ag shell layer thickness in core–shell AuNFs@Ag nanostructures leading to changes in the localized surface plasmon resonance (LSPR) and light scattering intensity. (B) Standard curve of the MD ELAAA method for different SARS-CoV-2 N proteins (0, 0.005, 0.01, 0.02, 0.05, 0.1, 0.5, 1, 2, and 5 ng/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3). (C) Validation was performed using multiple proteins at a concentration of 1 ng/mL, including: SARS-CoV-2 receptor-binding domain (RBD), alpha-fetoprotein (AFP), interleukin-4 (IL-4), bovine serum albumin (BSA), influenza (InFlu) A and B proteins, to validate the specificity of the MD ELAAA platform. Data were presented as mean ± standard deviation of triplicate results (n = 3). The blank control: ns, not significant; ∗∗∗∗p < 0.0001. (D) Standard curve of the MD ELAAA method for SARS-CoV-2 virus cultures at different concentrations (0, 1, 2, 5, 10, 20, 50, 100, and 200 TCID50/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3). (E) Standard curve of the ELAAA method for SARS-CoV-2 virus cultures at different concentrations (0, 10, 20, 50, 100, 200, 300, 500, and 1000 TCID50/mL). Data were presented as mean ± standard deviation of triplicate results (n = 3).
26/05/2026 Compuscript Ltd
Regions: Europe, Ireland, Asia, China
Keywords: Science, Life Sciences

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