Evidence map›Paper›PMID 38973832›Full record

ArticleACS omega2024

Rapid and Amplification-free Nucleic Acid Detection with DNA Substrate-Mediated Autocatalysis of CRISPR/Cas12a.

Zhongqi Zhou, Cia-Hin Lau, Jianchao Wang, Rui Guo, Sheng Tong, Jiaqi Li, Wenjiao Dong, Zhihao Huang, Tao Wang, Xiaojun Huang and 5 more

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Towards deployable CRISPR-based nucleic acid detection.Progress in biomedical engineering (Bristol, England) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

15 authors.

Zhongqi ZhouPediatric Hematology Laboratory, Division of Hematology/Oncology, Department of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.
Cia-Hin LauDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.ORCID https://orcid.org/0000-0002-4528-0363
Jianchao WangDepartment of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China.
Rui GuoAnimal Husbandry and Veterinary Institute, Hubei Academy of Agricultural Science, Wuhan, Hubei 430064, China.
Sheng TongDepartment of Biomedical Engineering, University of Kentucky, Lexington, Kentucky 40506-0503, United States.ORCID https://orcid.org/0000-0001-8632-7933
Jiaqi LiDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Wenjiao DongDepartment of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Zhihao HuangDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Tao WangDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Xiaojun HuangXiamen Fly Gene Biomedical Technology CO., LTD, Biomedical Industrial Park, Xiamen, Fujian 361000, China.
Ziqing YuDepartment of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China.
Chiju WeiDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.
Gang ChenDepartment of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China.
Hongman XuePediatric Hematology Laboratory, Division of Hematology/Oncology, Department of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.
Haibao ZhuDepartment of Biology, College of Science, Shantou University, Shantou, Guangdong 515063, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enable rapid and accurate point-of-care DNA detection, we have developed a single-step, amplification-free nucleic acid detection platform, a DNA substrate-mediated autocatalysis of CRISPR/Cas12a (DSAC). DSAC makes use of the trans-cleavage activity of Cas12a and target template-activated DNA substrate for dual signal amplifications. DSAC employs two distinct DNA substrate types: one that enhances signal amplification and the other that negatively modulates fluorescent signals. The positive inducer utilizes nicked- or loop-based DNA substrates to activate CRISPR/Cas12a, initiating trans-cleavage activity in a positive feedback loop, ultimately amplifying the fluorescent signals. The negative modulator, which involves competitor-based DNA substrates, competes with the probes for trans-cleaving, resulting in a signal decline in the presence of target DNA. These DNA substrate-based DSAC systems were adapted to fluorescence-based and paper-based lateral flow strip detection platforms. Our DSAC system accurately detected African swine fever virus (ASFV) in swine's blood samples at femtomolar sensitivity within 20 min. In contrast to the existing amplification-free CRISPR/Dx platforms, DSAC offers a cost-effective and straightforward detection method, requiring only the addition of a rationally designed DNA oligonucleotide. Notably, a common ASFV sequence-encoded DNA substrate can be directly applied to detect human nucleic acids through a dual crRNA targeting system. Consequently, our single-step DSAC system presents an alternative point-of-care diagnostic tool for the sensitive, accurate, and timely diagnosis of viral infections with potential applicability to human disease detection.

Identifiers

PMID38973832
PMCPMC11223203

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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.