CRISPR-Based Approaches for Efficient and Accurate Detection of SARS-CoV-2 Article Swipe
Wancun Zhang
,
Kangbo Liu
,
Pin Zhang
,
Weyland Cheng
,
Linfei Li
,
Fan Zhang
,
Zhidan Yu
,
Lifeng Li
,
Xianwei Zhang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/labmed/lmaa101
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1093/labmed/lmaa101
An outbreak of COVID-19, caused by infection with SARS-CoV-2 in Wuhan, China in December 2019, spread throughout the country and around the world, quickly. The primary detection technique for SARS-CoV-2, the reverse-transcription polymerase chain reaction (RT-PCR)–based approach, requires expensive reagents and equipment and skilled personnel. In addition, for SARS-CoV-2 detection, specimens are usually shipped to a designated laboratory for testing, which may extend the diagnosis and treatment time of patients with COVID-19. The latest research shows that clustered regularly interspaced short palindromic repeats (CRISPR)–based approaches can quickly provide visual, rapid, ultrasensitive, and specific detection of SARS-CoV-2 at isothermal conditions. Therefore, CRISPR-based approaches are expected to be developed as attractive alternatives to conventional RT-PCR methods for the efficient and accurate detection of SARS-CoV-2. Recent advances in the field of CRISPR-based biosensing technologies for SARS-CoV-2 detection and insights into their potential use in many applications are reviewed in this article.
Related Topics
Concepts
CRISPR
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Coronavirus disease 2019 (COVID-19)
2019-20 coronavirus outbreak
Computational biology
Computer science
Virology
Biology
Medicine
Genetics
Outbreak
Infectious disease (medical specialty)
Gene
Disease
Pathology
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1093/labmed/lmaa101
- https://academic.oup.com/labmed/article-pdf/52/2/116/36603637/lmaa101.pdf
- OA Status
- bronze
- Cited By
- 13
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3112615721
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3112615721Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/labmed/lmaa101Digital Object Identifier
- Title
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CRISPR-Based Approaches for Efficient and Accurate Detection of SARS-CoV-2Work title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-10-29Full publication date if available
- Authors
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Wancun Zhang, Kangbo Liu, Pin Zhang, Weyland Cheng, Linfei Li, Fan Zhang, Zhidan Yu, Lifeng Li, Xianwei ZhangList of authors in order
- Landing page
-
https://doi.org/10.1093/labmed/lmaa101Publisher landing page
- PDF URL
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https://academic.oup.com/labmed/article-pdf/52/2/116/36603637/lmaa101.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://academic.oup.com/labmed/article-pdf/52/2/116/36603637/lmaa101.pdfDirect OA link when available
- Concepts
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CRISPR, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Coronavirus disease 2019 (COVID-19), 2019-20 coronavirus outbreak, Computational biology, Computer science, Virology, Biology, Medicine, Genetics, Outbreak, Infectious disease (medical specialty), Gene, Disease, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 3, 2022: 2, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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