Evidence map›Paper›PMID 39362874›Full record

ArticleNature communications2024

CRISPR/Cas-mediated "one to more" lighting-up nucleic acid detection using aggregation-induced emission luminogens.

Yuqian Guo, Yaofeng Zhou, Hong Duan, Derong Xu, Min Wei, Yuhao Wu, Ying Xiong, Xirui Chen, Siyuan Wang, Daofeng Liu and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

14 authors.

Yuqian GuoState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China.ORCID 0000-0002-4067-1293
Yaofeng ZhouState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China.
Hong DuanBeijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University, Beijing, China.
Derong XuThe National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Nanchang University, Nanchang, China.
Min WeiState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China.
Yuhao WuState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China.
Ying XiongNational Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, China.
Xirui ChenState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China.
Siyuan WangKey Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing, China.
Daofeng LiuJiangxi Provincial Center for Disease Control and Prevention, Nanchang, China.
Xiaolin HuangState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China. xiaolin.huang@ncu.edu.cn.
Hongbo XinThe National Engineering Research Center for Bioengineering Drugs and the Technologies, Institute of Translational Medicine, Nanchang University, Nanchang, China.ORCID 0000-0002-4257-207X
Yonghua XiongState Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang, China. xiongyonghua@ncu.edu.cn.
Ben Zhong TangSchool of Science and Engineering, Shenzhen Institute of Aggregate Science and Technology, The Chinese University of Hong Kong, Shenzhen, Guangdong, China. tangbenz@cuhk.edu.cn.ORCID 0000-0002-0293-964X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR diagnostics are effective but suffer from low signal transduction efficiency, limited sensitivity, and poor stability due to their reliance on the trans-cleavage of single-stranded nucleic acid fluorescent reporters. Here, we present CrisprAIE, which integrates CRISPR/Cas reactions with "one to more" aggregation-induced emission luminogen (AIEgen) lighting-up fluorescence generated by the trans-cleavage of Cas proteins to AIEgen-incorporated double-stranded DNA labeled with single-stranded nucleic acid linkers and Black Hole Quencher groups at both ends (Q-dsDNA/AIEgens-Q). CrisprAIE demonstrates superior performance in the clinical nucleic acid detection of norovirus and SARS-CoV-2 regardless of amplification. Moreover, the diagnostic potential of CrisprAIE is further enhanced by integrating it with spherical nucleic acid-modified AIEgens (SNA/AIEgens) and a portable cellphone-based readout device. The improved CrisprAIE system, utilizing Q-dsDNA/AIEgen-Q and SNA/AIEgen reporters, exhibits approximately 80- and 270-fold improvements in sensitivity, respectively, compared to conventional CRISPR-based diagnostics. We believe CrisprAIE can be readily extended as a universal signal generation strategy to significantly enhance the detection efficiency of almost all existing CRISPR-based diagnostics.

Indexed as

CRISPR-Cas SystemsSARS-CoV-2COVID-19DNAFluorescent DyesHumansNorovirusDNAFluorescent Dyes

Identifiers

PMID39362874
PMCPMC11450156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.