Evidence map›Paper›PMID 36463654›Full record

ArticleBiosensors & bioelectronics2023

High-intensity vector signals for detecting SARS-CoV-2 RNA using CRISPR/Cas13a couple with stabilized graphene field-effect transistor.

Yang Sun, Cheng Yang, Xiaolin Jiang, Pengbo Zhang, Shuo Chen, Fengxia Su, Hui Wang, Weiliang Liu, Xiaofei He, Lei Chen and 2 more

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. 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

12 authors.

Yang SunDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Cheng YangDepartment of Physics and Electronics, Shandong Normal University 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China.
Xiaolin JiangShandong Provincial Key Laboratory of Communicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention, 16992 Jingshi Road, Lixia District, Jinan, Shandong Province, 250014, PR China.
Pengbo ZhangDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Shuo ChenDepartment of Physics and Electronics, Shandong Normal University 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China.
Fengxia SuDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Hui WangDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Weiliang LiuDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Xiaofei HeDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China.
Lei ChenDepartment of of Life Sciences, Shandong Normal University 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China. Electronic address: chenlei@sdnu.edu.cn.
Baoyuan ManDepartment of Physics and Electronics, Shandong Normal University 1 Daxue Road, Changqing District, Jinan, Shandong Province, 250014, PR China. Electronic address: byman@sdnu.edu.cn.
Zhengping LiDepartment of Chemistry and Biological Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing, 100083, PR China. Electronic address: lzpbd@ustb.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

False detection of SARS-CoV-2 is detrimental to epidemic prevention and control. The scalar nature of the detected signal and the imperfect target recognition property of developed methods are the root causes of generating false signals. Here, we reported a collaborative system of CRISPR-Cas13a coupling with the stabilized graphene field-effect transistor, providing high-intensity vector signals for detecting SARS-CoV-2. In this collaborative system, SARS-CoV-2 RNA generates a "big subtraction" signal with a right-shifted feature, whereas any untargets cause the left-shifted characteristic signal. Thus, the false detection of SARS-CoV-2 is eliminated. High sensitivity with 0.15 copies/μL was obtained. In addition, the wide concerned instability of the graphene field-effect transistor for biosensing in solution environment was solved by the hydrophobic treatment to its substrate, which should be a milestone in advancing it's engineering application. This collaborative system characterized by the high-intensity vector signal and amazing stability significantly advances the accurate SARS-CoV-2 detection from the aspect of signal nature.

Indexed as

Biosensing TechniquesCOVID-19GraphiteClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsHumansRNA, ViralSARS-CoV-2GraphiteRNA, ViralAmplification-freeCRISPR/Cas13aSARS-CoV-2 detectionStabilized graphene field-effect transistorVector signal

Identifiers

PMID36463654
PMCPMC9710152

What OpenQuestion holds

Textmetadata
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.