Evidence map›Paper›PMID 36277649›Full record

ArticleChemical science2022

Monitoring and modulating a catalytic hybridization circuit for self-adaptive bioorthogonal DNA assembly.

Xue Gong, Shizhen He, Ruomeng Li, Yingying Chen, Kaiyue Tan, Yeqing Wan, Xiaoqing Liu, Fuan Wang

Abstract read
In one paragraph

Article in Chemical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Scaling up of a Self-Confined Catalytic Hybridization Circuit for Robust microRNA Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  2. Article
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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

8 authors.

Xue GongCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Shizhen HeCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Ruomeng LiCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Yingying ChenCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Kaiyue TanCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Yeqing WanCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.
Xiaoqing LiuCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.ORCID https://orcid.org/0000-0002-1309-5454
Fuan WangCollege of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China fuanwang@whu.edu.cn.ORCID https://orcid.org/0000-0002-3063-2485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Constructing artificial domino nanoarchitectures, especially dynamic DNA circuits associated with the actuation of biological functions inside live cells, represents a versatile and powerful strategy to regulate the behaviors and fate of various living entities. However, the stepwise operation of conventional DNA circuits always relies on freely diffusing reactants, which substantially slows down their operation rate and efficiency. Herein, a self-adaptive localized catalytic circuit (LCC) is developed to execute the self-sustained bioorthogonal assembly of DNA nanosponges within a crowded intracellular environment. The LCC-generated DNA scaffolds are utilized as versatile templates for realizing the proximity confinement of LCC reactants. Single-molecule-detecting fluorescence correlation spectroscopy (FCS) is used to explore the reaction acceleration of the catalytic circuit. This self-adaptive DNA circuit facilitates the bioorthogonal assembly of highly branched DNA networks for robust and accurate monitoring of miRNA targets. Based on its intriguing and modular design, the LCC system provides a pivotal molecular toolbox for future applications in early disease diagnosis.

Identifiers

PMID36277649
PMCPMC9473505

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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.