Evidence map›Paper›PMID 38698560›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Erasable and Field Programmable DNA Circuits Based on Configurable Logic Blocks.

Yizhou Liu, Yuxuan Zhai, Hao Hu, Yuheng Liao, Huan Liu, Xiao Liu, Jiachen He, Limei Wang, Hongxun Wang, Longjie Li and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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
  2. Article
  3. Article
  4. Review
  5. Erasable and Field Programmable DNA Circuits Based on Configurable Logic Blocks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

12 authors.

Yizhou LiuSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Yuxuan ZhaiSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Hao HuInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yuheng LiaoInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Huan LiuInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiao LiuInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Jiachen HeInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Limei WangSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Hongxun WangSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Longjie LiSchool of Life Science and Technology, Wuhan Polytechnic University, Wuhan, 430023, China.
Xiaoyu ZhouDepartment of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, Guangdong, 518000, China.
Xianjin XiaoInstitute of Reproductive Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID 0000-0003-0455-1080

Funding

National Key Research and Development Program of China 2023YFE0210200,2021YFC2701402Research and Innovation Initiatives of WHPU 2023Y15the Central Government-guided Special Funds for Local Scientific and Technological Development 226Z2603Gthe Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Shenzhen Park Project HZQB-KCZYZ-2021017the Hong Kong Innovation and Technology Fund, the Mainland-Hong Kong Joint Funding Scheme (Platform) MHP/240/23the National Key Research and Development Program of China 2018YFA0901104the open research fund of the Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control HPKL2023019,HPKL2023036
6 · The paper itself

Abstract

DNA is commonly employed as a substrate for the building of artificial logic networks due to its excellent biocompatibility and programmability. Till now, DNA logic circuits are rapidly evolving to accomplish advanced operations. Nonetheless, nowadays, most DNA circuits remain to be disposable and lack of field programmability and thereby limits their practicability. Herein, inspired by the Configurable Logic Block (CLB), the CLB-based erasable field-programmable DNA circuit that uses clip strands as its operation-controlling signals is presented. It enables users to realize diverse functions with limited hardware. CLB-based basic logic gates (OR and AND) are first constructed and demonstrated their erasability and field programmability. Furthermore, by adding the appropriate operation-controlling strands, multiple rounds of programming are achieved among five different logic operations on a two-layer circuit. Subsequently, a circuit is successfully built to implement two fundamental binary calculators: half-adder and half-subtractor, proving that the design can imitate silicon-based binary circuits. Finally, a comprehensive CLB-based circuit is built that enables multiple rounds of switch among seven different logic operations including half-adding and half-subtracting. Overall, the CLB-based erasable field-programmable circuit immensely enhances their practicability. It is believed that design can be widely used in DNA logic networks due to its efficiency and convenience.

Indexed as

Computers, MolecularDNALogicDNAclip‐mediated strand displacement reactionconfigurable logic blockDNA logic circuitsDNA nanotechnologyfield programming

Identifiers

PMID38698560
PMCPMC11234411

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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.