Evidence map›Paper›PMID 41444625›Full record

ArticleJournal of nanobiotechnology2025

Enzyme-driven triplex structure-based DNA logic circuits.

Xiao Liu, Jing Zhang, Xuehao Zhang, Zhuo Chen, Shize Zhang, Xinyu Wang, Jiaying Liu, Zhiheng Wang, Liyi Xie, Zhihao Ming and 5 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Xiao Liu *Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jing Zhang *Institute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xuehao Zhang *School of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Zhuo ChenInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Shize ZhangInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xinyu WangDepartment of Breast Surgery, Second Hospital of Jilin University, Changchun, 130000, China.
Jiaying LiuInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhiheng WangInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Liyi XieInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhihao MingHunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410000, China.
Longjie LiSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Kaixiong TaoDepartment of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xianjin XiaoInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. xiaoxianjin@hust.edu.cn.
Xiaoyu ZhouDepartment of Biomedical Sciences and Tung Biomedical Sciences Centre, Department of Precision Diagnostic and Therapeutic Technology (CityUHKMSRI), Key Laboratory of Biochip Technology and Biotech and Health Centre (CityUSRI), City University of Hong Kong, Hong Kong, 999077, China. xzhou74@cityu.edu.hk.
Yu XieHunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410000, China. xieyu420@sina.com.

Funding

Jilin Provincial Science and Technology Foundation YDZJ202401191ZYTSNational Natural Science Foundation of China 82402466the Central Government-Guided Special Funds for Local Scientific and Technological Development 226Z2603Gthe Hong Kong Innovation and Technology Fund, the Mainland Hong Kong Joint Funding Scheme (Platform) MHP/240/23
6 · The paper itself

Abstract

DNA logic circuits have emerged as crucial media for biological computing due to their molecular-level parallelism and high biocompatibility. In the two mainstream systems currently prevalent, the strand-displacement system generally suffers from issues such as high strand complexity, signal leakage, and difficulties in cascading. In comparison, the enzyme-driven system has offered a further improvement in high rates and low leakage. However, it continues to encounter challenges pertaining to signal leakage and signal attenuation, which limit the development of intricate computational systems.This study introduces enzyme-powered triplex DNA logic circuits that simplify strand design through input-gate concatenation forming triplex structures, utilizing Bst 3.0 polymerase for efficient operation. System validation includes single-gate analysis, multi-level cascades (secondary/tertiary), complex logic circuits, and large-scale square root operations. Single-gate circuits achieve < 2-min half-completion times with minimal leakage. The two-level cascaded circuits exhibit minimal leakage and the longest half-completion time of less than 8 min, while 10-gate square root circuits maintain < 25-min operation with 24.3% reduced strand complexity and 25% faster reaction rates versus existing systems. The low-leakage architecture enables efficient DNA computing for biosensing, data storage, and synthetic biology applications, while its modular design supports scalable biological computing networks.

Indexed as

Computers, MolecularDNANucleic Acid ConformationDNAtriplex DNADNA computingDNA logic circuitsDNA nanotechnology

Identifiers

PMID41444625
PMCPMC12729061

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LicenceCC BY
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Registered trials

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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.