Evidence map›Paper›PMID 34781175›Full record

ReviewBiosensors & bioelectronics2022

Development of the DNA-based biosensors for high performance in detection of molecular biomarkers: More rapid, sensitive, and universal.

Qiong Wang, Jing Wang, Yan Huang, Yichen Du, Yi Zhang, Yunxi Cui, De-Ming Kong

Open access · greenAbstract readReview
In one paragraph

Review in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  12. Whole-genome detection using multivalent DNA-coated colloids.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Recent progress on rapid diagnosis of COVID-19 by point-of-care testing platforms.Chinese chemical letters = Zhongguo hua xue kuai bao · 2023
    Review
  14. PhotocleavableChemical reviews · 2023
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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

7 authors at 2 institutions in 1 country.

Qiong WangCollege of Life Sciences, Nankai University, Tianjin, 300071, PR China.
Jing WangTianjin Key Laboratory of Biosensing and Molecular Recognition, Research Centre for Analytical Sciences, College of Chemistry, Nankai University, Tianjin, 300071, PR China; State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, PR China.
Yan HuangCollege of Life Sciences, Nankai University, Tianjin, 300071, PR China.
Yichen DuTianjin Key Laboratory of Biosensing and Molecular Recognition, Research Centre for Analytical Sciences, College of Chemistry, Nankai University, Tianjin, 300071, PR China; Life and Health Intelligent Research Institute, Tianjin University of Technology, Tianjin, China, 300384, PR China.
Yi ZhangCollege of Life Sciences, Nankai University, Tianjin, 300071, PR China.
Yunxi CuiCollege of Life Sciences, Nankai University, Tianjin, 300071, PR China; State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, PR China. Electronic address: 9920200031@nankai.edu.cn.
De-Ming KongTianjin Key Laboratory of Biosensing and Molecular Recognition, Research Centre for Analytical Sciences, College of Chemistry, Nankai University, Tianjin, 300071, PR China; State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, PR China. Electronic address: kongdem@nankai.edu.cn.
Nankai University · CNTianjin University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular biomarkers are molecules that are closely related to specific physiological states. Numerous molecular biomarkers have been identified as targets for disease diagnosis and biological research. To date, developing highly efficient probes for the precise detection of biomarkers has become an attractive research field which is very important for biological and biochemical studies. During the past decades, not only the small chemical probe molecules but also the biomacromolecules such as enzymes, antibodies, and nucleic acids have been introduced to construct of biosensor platform to achieve the detection of biomarkers in a highly specific and highly efficient way. Nevertheless, improving the performance of the biosensors, especially in clinical applications, is still in urgent demand in this field. A noteworthy example is the Corona Virus Disease 2019 (COVID-19) that breaks out globally in a short time in 2020. The COVID-19 was caused by the virus called SARS-CoV-2. Early diagnosis is very important to block the infection of the virus. Therefore, during these months scientists have developed dozens of methods to achieve rapid and sensitive detection of the virus. Nowadays some of these new methods have been applied for producing the commercial detection kit and help people against the disease worldwide. DNA-based biosensors are useful tools that have been widely applied in the detection of molecular biomarkers. The good stability, high specificity, and excellent biocompatibility make the DNA-based biosensors versatile in application both in vitro and in vivo. In this paper, we will review the major methods that emerged in recent years on the design of DNA-based biosensors and their applications. Moreover, we will also briefly discuss the possible future direction of DNA-based biosensors design. We believe this is helpful for people interested in not only the biosensor field but also in the field of analytical chemistry, DNA nanotechnology, biology, and disease diagnosis.

Indexed as

Biosensing TechniquesCOVID-19BiomarkersDNAHumansSARS-CoV-2BiomarkersDNADNA-Based biosensorsHigh performanceMolecular biomarkers

Identifiers

PMID34781175
PMCPMC8553638
OpenAlexW3209566195

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.