Evidence map›Paper›PMID 38613838›Full record

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

Scaling up of a Self-Confined Catalytic Hybridization Circuit for Robust microRNA Imaging.

Xue Gong, Ruomeng Li, Jiajia Zhang, Pu Zhang, Zhongwei Jiang, Lianzhe Hu, Xiaoqing Liu, Yi Wang, Fuan Wang

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 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. Scaling up of a Self-Confined Catalytic Hybridization Circuit for Robust microRNA Imaging.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

9 authors.

Xue GongDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, P. R. China.
Ruomeng LiDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, P. R. China.
Jiajia ZhangEngineering Research Center for Biotechnology of Active Substances (Ministry of Education), Chongqing Key Laboratory of Green Catalysis Materials and Technology, College of Chemistry, Chongqing Normal University, Chongqing, 401331, P. R. China.
Pu ZhangCollege of Pharmacy, Chongqing Medical University, Chongqing, 400016, P. R. China.
Zhongwei JiangEngineering Research Center for Biotechnology of Active Substances (Ministry of Education), Chongqing Key Laboratory of Green Catalysis Materials and Technology, College of Chemistry, Chongqing Normal University, Chongqing, 401331, P. R. China.
Lianzhe HuEngineering Research Center for Biotechnology of Active Substances (Ministry of Education), Chongqing Key Laboratory of Green Catalysis Materials and Technology, College of Chemistry, Chongqing Normal University, Chongqing, 401331, P. R. China.
Xiaoqing LiuDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, P. R. China.
Yi WangEngineering Research Center for Biotechnology of Active Substances (Ministry of Education), Chongqing Key Laboratory of Green Catalysis Materials and Technology, College of Chemistry, Chongqing Normal University, Chongqing, 401331, P. R. China.
Fuan WangDepartment of Gastroenterology, Zhongnan Hospital of Wuhan University, College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, P. R. China.ORCID 0000-0002-3063-2485

Funding

Chongqing Innovation Research Group Project CXQT21015National Natural Science Foundation of China 22074112National Natural Science Foundation of China 22204012National Natural Science Foundation of China 81972020Natural Science Foundation Joint Fund for Innovation and Development of Chongqing Municipal Education Commission CSTB2022NSCQ-LZX0077Natural Science Foundation of Chongqing CSTB2022NSCQ-MSX0466Natural Science Foundation of Chongqing cstc2021ycjh-bgzxm0113Science and Technology Research Project of Chongqing Municipal Education Commission KJQN202200559Startup Fund of Chongqing Normal University 22XLB010
6 · The paper itself

Abstract

The precise regulation of cellular behaviors within a confined, crowded intracellular environment is highly amenable in diagnostics and therapeutics. While synthetic circuitry system through a concatenated chemical reaction network has rarely been reported to mimic dynamic self-assembly system. Herein, a catalytic self-defined circuit (CSC) for the hierarchically concatenated assembly of DNA domino nanostructures is engineered. By incorporating pre-sealed symmetrical fragments into the preying hairpin reactants, the CSC system allows the hierarchical DNA self-assembly via a microRNA (miRNA)-powered self-sorting catalytic hybridization reaction. With minimal strand complexity, this self-sustainable CSC system streamlined the circuit component and achieved localization-intensified cascaded signal amplification. Profiting from the self-adaptively concatenated hybridization reaction, a reliable and robust method has been achieved for discriminating carcinoma tissues from the corresponding para-carcinoma tissues. The CSC-sustained self-assembly strategy provides a comprehensive and smart toolbox for organizing various hierarchical DNA nanostructures, which may facilitate more insights for clinical diagnosis and therapeutic assessment.

Indexed as

MicroRNAsCatalysisDNAHumansNanostructuresNucleic Acid HybridizationDNAMicroRNAscatalytic DNA circuitdiagnosisDNA nanotechnologyimagingself‐assembly

Identifiers

PMID38613838
PMCPMC11165520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.