Previous Article in Journal
Improving the Efficiency of Hydrogen Spillover by an Alkali Treatment Strategy for Boosting Formic Acid Dehydrogenation Performance
Previous Article in Special Issue
Bridging Disciplines in Enzyme Kinetics: Understanding Steady-State, Transient-State and Performance Parameters
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Comparative Analysis of G-Quadruplex DNAzyme Scaffolds and Split Modes for Programmable Biosensing

by
Dunsin S. Osalaye
1,
Raphael I. Adeoye
2,
Sylvia O. Malomo
1 and
Femi J. Olorunniji
2,*
1
Department of Biochemistry, Faculty of Life Sciences, University of Ilorin, Ilorin P.M.B. 1515, Nigeria
2
School of Pharmacy & Biomolecular Sciences, Faculty of Health, Innovation, Technology and Science, Liverpool John Moores University, Liverpool L3 3AF, UK
*
Author to whom correspondence should be addressed.
Catalysts 2026, 16(1), 27; https://doi.org/10.3390/catal16010027 (registering DOI)
Submission received: 21 November 2025 / Revised: 21 December 2025 / Accepted: 26 December 2025 / Published: 30 December 2025
(This article belongs to the Special Issue State-of-the-Art Enzyme Engineering and Biocatalysis in Europe)

Abstract

G-quadruplex (G4) DNAzymes, guanine-rich sequences that fold into four-stranded structures and bind hemin to mimic peroxidase activity, are widely used in biosensing. Split G4 DNAzymes offer conditional activation upon target recognition, enabling high specificity and modularity. However, achieving low OFF-state leakage remains a major challenge. Here, we systematically characterized four representative G4 scaffolds, C-myc, Bcl2, PS5.M, and C-kit, under standardized ABTS/H2O2 conditions to assess their kinetic properties and suitability for split designs. C-myc exhibited the highest sustained activity and near-linear concentration dependence, making it ideal for quantitative sensing, while Bcl2 showed durable catalysis suited for extended read windows. C-kit produced rapid bursts with early plateaus, favoring binary outputs, and PS5.M initiated quickly but inactivated rapidly, suggesting potential application of systems requiring fast response. Split-mode analysis revealed that symmetric 2:2 partitions often retained significant activity, whereas asymmetric 3:1 splits reduced but did not eliminate leakage. Among the four G4 DNAzymes, PS5.M demonstrated the most promising OFF-state suppression. Design strategies to minimize leakage including non-classical splits, loop/flank edits, and template-assisted assembly could be used to optimize biosensor functionalities. These findings identify essential factors critical for designing robust split DNAzyme biosensors, advancing applications in diagnostics and molecular logic gates.
Keywords: G-quadruplex DNAzyme; split DNAzyme biosensor; kinetic characterization; signal-to-background ratio; non-classical split design G-quadruplex DNAzyme; split DNAzyme biosensor; kinetic characterization; signal-to-background ratio; non-classical split design

Share and Cite

MDPI and ACS Style

Osalaye, D.S.; Adeoye, R.I.; Malomo, S.O.; Olorunniji, F.J. Comparative Analysis of G-Quadruplex DNAzyme Scaffolds and Split Modes for Programmable Biosensing. Catalysts 2026, 16, 27. https://doi.org/10.3390/catal16010027

AMA Style

Osalaye DS, Adeoye RI, Malomo SO, Olorunniji FJ. Comparative Analysis of G-Quadruplex DNAzyme Scaffolds and Split Modes for Programmable Biosensing. Catalysts. 2026; 16(1):27. https://doi.org/10.3390/catal16010027

Chicago/Turabian Style

Osalaye, Dunsin S., Raphael I. Adeoye, Sylvia O. Malomo, and Femi J. Olorunniji. 2026. "Comparative Analysis of G-Quadruplex DNAzyme Scaffolds and Split Modes for Programmable Biosensing" Catalysts 16, no. 1: 27. https://doi.org/10.3390/catal16010027

APA Style

Osalaye, D. S., Adeoye, R. I., Malomo, S. O., & Olorunniji, F. J. (2026). Comparative Analysis of G-Quadruplex DNAzyme Scaffolds and Split Modes for Programmable Biosensing. Catalysts, 16(1), 27. https://doi.org/10.3390/catal16010027

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop