A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2
Shenzhen University · Shenzhen Inno Translational Medicine Institute · +10 more institutions
Abstract
The outbreak of the COVID-19 pandemic was partially due to the challenge of identifying asymptomatic and presymptomatic carriers of the virus, and thus highlights a strong motivation for diagnostics with high sensitivity that can be rapidly deployed. On the other hand, several concerning SARS-CoV-2 variants, including Omicron, are required to be identified as soon as the samples are identified as 'positive'. Unfortunately, a traditional PCR test does not allow their specific identification. Herein, for the first time, we have developed MOPCS (Methodologies of Photonic CRISPR Sensing), which combines an optical sensing technology-surface plasmon resonance (SPR) with the 'gene scissors' clustered regularly…
Citation impact
- FWCI
- 33.52
- Percentile
- 100%
- References
- 41
Authors
23- ZCZhi Chen
Shenzhen University, Shenzhen Inno Translational Medicine Institute, Shenzhen Second People's Hospital
- JLJingfeng Li
Shenzhen Institute of Information Technology, Shenzhen University, Shenzhen Inno Translational Medicine Institute, Shenzhen Second People's Hospital
- TLTianzhong Li
Shenzhen Institute of Information Technology, Shenzhen University, Shenzhen Inno Translational Medicine Institute, Shenzhen Second People's Hospital
- TFTaojian Fan
Shenzhen University, Shenzhen Inno Translational Medicine Institute, Shenzhen Second People's Hospital
- CMChangle Meng
Shenzhen University, Shenzhen Inno Translational Medicine Institute, Shenzhen Second People's Hospital
Topics & keywords
- CRISPR
- Computational biology
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Coronavirus disease 2019 (COVID-19)
- Surface plasmon resonance
- Biology
- Virology
- Gene
- Good health and well-being
Funding
- KAKing Abdulaziz UniversityAward: KEP-MSc-70-130-42
- KKKing Khalid UniversityAward: RCAMS/KKU/006/21
- DODepartment of Education of Guangdong ProvinceAward: 2018KCXTD026
- STScience, Technology and Innovation Commission of Shenzhen MunicipalityAwards: KCXFZ20201221173413038, JSGG20200225152648408, JCYJ20200109105608771
- SKShanghai Key Discipline Construction ProjectAward: SZXK032
- BSBeijing Science and Technology Planning ProjectAward: JCYJ20200109105608771
- FPFondo para la Investigación Científica y TecnológicaAwards: 2022B1515020093, 2021A1515220109, 2019B1515120043, 2020A151501612