Evidence map›Paper›PMID 40634673›Full record

ReviewAnalytical and bioanalytical chemistry2025

Programmable DNA aptamer logic gates: from structural design to integrated systems for intelligent nanoscale biosensors.

Precious Asumadu, Zhuowen Guo, Shuo Qi, Chang Liu, Yaqi Li, Qiaoqiao Shi, Dezhao Kong, Hua Ye, Caili Fu, Zhouping Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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  5. 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

10 authors.

Precious Asumadu *School of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China.
Zhuowen Guo *Biomedical and Health Technology Platform, National University of Singapore (Suzhou) Research Institute, Suzhou, 215123, China.
Shuo QiCollege of Light Industry and Food Engineering, Nanjing Forestry University, Nanjing, 210037, China.
Chang LiuSchool of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China.
Yaqi LiSchool of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China.
Qiaoqiao ShiSchool of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China.
Dezhao KongSchool of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China.
Hua YeSchool of Grain Science and Technology, Jiangsu Provincial Engineering Research Center of Grain Bioprocessing, Jiangsu University of Science and Technology, Zhenjiang, 212003, China. huaye@just.edu.cn.ORCID http://orcid.org/0000-0002-4947-6195
Caili FuBiomedical and Health Technology Platform, National University of Singapore (Suzhou) Research Institute, Suzhou, 215123, China. caili_fu@hotmail.com.
Zhouping WangSchool of Food Science and Technology, Jiangnan University, Wuxi, 214122, China. wangzp@jiangnan.edu.cn.

Funding

Caili Fu BZ2022056Caili Fu ScienceCaili Fu Technology Project of Jiangsu ProvinceChang Liu 22406069Chang Liu National Natural Science Foundation of ChinaDezhao Kong 1182921902Dezhao Kong 32001804Dezhao Kong Emerging ScienceDezhao Kong National Natural Science Foundation of ChinaDezhao Kong Technology Innovation Team FuHua Ye 32372417Hua Ye National Natural Science Foundation of ChinaQiaoqiao Shi 1184882301Qiaoqiao Shi Natural Science Foundation of the Jiangsu Higher E
6 · The paper itself

Abstract

DNA aptamer-based logic gates represent significant advances in molecular computing, enabling complex biological computations at the nanoscale. These systems leverage the unique programmable properties of DNA aptamers-short, single-stranded oligonucleotides with high specificity and binding affinity for diverse applications across fields such as clinical diagnostics, food/environmental monitoring, and targeted therapeutic delivery, garnering significant research interest in the past few decades. In this review, we first expand on the fundamentals of aptamers, including its SELEX process and post-SELEX modifications. We systematically examine the design principles and operation mechanisms of DNA aptamer-based logic gates, mainly AND, OR, INHIBIT and NOT as reported by researchers. Then, we highlight various logic gates based on different oligonucleotides spanning from intact and split aptamers to DNA origami architectures, DNA nanorobots, and G-quadruplex structural switches, bringing to light their applications across various fields. Recent innovations in multi-input/output gate cascades, CRISPR-Cas-integrated systems and signal amplification approaches are highlighted as key developments in DNA aptamer-based logic gates. Finally, we elucidate challenges relating to DNA aptamer-based systems such as aptamer performance, cross-reactivity in complex multi-input systems and the complexities of merging other systems to amplify output readability, among others, to the end that in addressing these challenges, we will be able to unlock the full potential of this system.

Indexed as

Aptamers, NucleotideBiosensing TechniquesComputers, MolecularG-QuadruplexesHumansNanotechnologySELEX Aptamer TechniqueAptamers, NucleotideBio-computingBiosensorDNA aptamerDNA computingLogic gates

Identifiers

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Registered trials

None linked

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.