High-throughput measurement and prediction of the i-motif DNA stability landscape

The i-motif, a cytosine-rich DNA secondary structure, exhibits pH- and temperature-dependent stability. We developed a high-throughput, five-dimensional ultraviolet melting/annealing (5DUVMA) method to systematically probe these dependencies. It enables the simultaneous assessment of thermal stability and pH sensitivity. Results show ionic strength and pH or temperature inversely affect thermal stability and pH sensitivity, respectively. A predictive mathematical model, powered by high-resolution 5DUVMA data, was established for bidirectional prediction of thermal stability and pH sensitivity. This framework was extended to decode multistep structural transitions in long C-tract i-motifs. We found that lower ionic strength and higher pH promote more melting steps and preferentially populate the less stable i-motif species. Our work provides a transformative platform and modeling approach for decoupling the complex environmental dependencies of nucleic acid structures.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-02-05
DOI
https://doi.org/10.1093/nar/gkag110
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
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article

High-throughput measurement and prediction of the i-motif DNA stability landscape

Ziyue Guan, Tengshuo Luo, Chengjie Chu, Jean-Louis Mergny et al.
Nucleic Acids Research
DNA and Nucleic Acid Chemistry
article

High-throughput measurement and prediction of the i-motif DNA stability landscape

Ziyue Guan, Tengshuo Luo, Chengjie Chu, Jean-Louis Mergny, Jiqing Shen, Jun Zhou, Shilong Zhang
article en

Abstract

The i-motif, a cytosine-rich DNA secondary structure, exhibits pH- and temperature-dependent stability. We developed a high-throughput, five-dimensional ultraviolet melting/annealing (5DUVMA) method to systematically probe these dependencies. It enables the simultaneous assessment of thermal stability and pH sensitivity. Results show ionic strength and pH or temperature inversely affect thermal stability and pH sensitivity, respectively. A predictive mathematical model, powered by high-resolution 5DUVMA data, was established for bidirectional prediction of thermal stability and pH sensitivity. This framework was extended to decode multistep structural transitions in long C-tract i-motifs. We found that lower ionic strength and higher pH promote more melting steps and preferentially populate the less stable i-motif species. Our work provides a transformative platform and modeling approach for decoupling the complex environmental dependencies of nucleic acid structures.

Nucleic Acids ResearchVol. 54(4)
Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Inserm (FR), China Pharmaceutical University (CN), Nanjing University (CN)
Life in Land
Openalex Percentile: Top 58%
DNA and Nucleic Acid Chemistry
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