Evidence map›Paper›PMID 40017784›Full record

ArticleJACS Au2025

Visualizing Reactive Oxygen Species-Induced DNA Damage Process in Higher-Ordered Origami Nanostructures.

Shuangye Zhang, Xiaodong Xie, Hairuo Zhang, Ziwei Zhao, Kai Xia, Haitao Song, Qian Li, Mingqiang Li, Zhilei Ge

Abstract read
In one paragraph

Article in JACS Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Reactive oxygen species-resistant ultrastable super-resolution DNA framework dots.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shuangye ZhangSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Xiaodong XieSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Hairuo ZhangSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Ziwei ZhaoShanghai Artificial Intelligence Research Institute, Shanghai 200240, China.
Kai XiaShanghai Artificial Intelligence Research Institute, Shanghai 200240, China.
Haitao SongShanghai Artificial Intelligence Research Institute, Shanghai 200240, China.ORCID https://orcid.org/0000-0003-2113-2224
Qian LiSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Mingqiang LiSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID https://orcid.org/0000-0001-9854-2251
Zhilei GeSchool of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID https://orcid.org/0000-0001-7184-7565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic information on organisms is stored in the cell nucleus in the form of higher-ordered DNA structures. Here, we use DNA framework nanostructures (DFNs) to simulate the compaction and stacking density of nucleosome DNA for precise conformational and structure determination, particularly the dynamic structural changes, preferential reaction regions, and sites of DFNs during the reactive oxygen species (ROS) reaction process. By developing an atomic force microscopy-based single-particle analysis (SPA) data reconstruction method to collect and reanalyze imaging information, we demonstrate that the geometric morphology of DFNs constrains their reaction kinetics with ROS, where local mechanical stress and regional base distribution are two key factors affecting their kinetics. Furthermore, we plot the reaction process diagram for ROS and DFNs, showing the reaction process and intermediate products with individual activation energies. This SPA method offers new research tools and insights for studying the dynamic changes of highly folded and organized DNA structural domains within the nucleus and helps to reveal the key mechanisms behind their functional differences in topologically associating domains.

Identifiers

PMID40017784
PMCPMC11863157

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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.