yaoyachao. Advances in the application of amplification-free CRISPRCas cascade signal amplification technology. 2024. biomedRxiv.202410.00045
Advances in the application of amplification-free CRISPRCas cascade signal amplification technology
Corresponding author: yaoyachao, yaoyc@gd2h.org.cn
DOI: 10.12201/bmr.202410.00045
-
Abstract: Rapid and accurate molecular diagnosis plays an important role in life science fields such as precision medicine, environmental monitoring, and food safety. CRISPR/Cas system based on clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) has become a very effective molecular diagnostic tool due to its advantages of high sensitivity, high specificity, convenience and rapidity. CRISPR/Cas system has become a very effective molecular diagnostic tool due to its advantages of high sensitivity, high specificity, convenience and speed. However, CRISPR/Cas system-based assays increase the target concentration through a pre-amplification step, which may also generate problems such as non-specific amplification, aerosol contamination, complex operation and long assay cycle. Therefore, various amplification-free detection strategies have been developed, but the low sensitivity of these amplification-free detection strategies cannot meet the diagnostic needs of most diseases. A series of studies have demonstrated that the cascade signal amplification strategy has a broad application prospect in improving the sensitivity of CRISPR/cas-based assays, and the amplification-free CRISPR/Cas cascade signal amplification technology in disease diagnosis is reviewed. The application of amplification-free CRISPR/Cas cascade signal amplification technology in disease diagnosis is reviewed, and the main strategies of amplification-free CRISPR/Cas cascade signal amplification technology are highlighted.
Key words: CRISPR/Cas; amplification-free detection; ultrasensitive detection; signal amplificationSubmit time: 16 October 2024
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
图表
-
WANG Jie, WANG Zhi-cheng, LOU Shuai, DONG Jian-cheng, CAO Xin-zhi. Research on thyroid nodule detection model based on deep learning algorithm Mask R-CNN. 2024. doi: 10.12201/bmr.202411.00085
zhangjianming, shiyan, sunyuting, xiahouweimin, gengheyuan, luyaoqin. . 2024. doi: 10.12201/bmr.202409.00061
liuqingjin, wangrui, miaoyuanqing. Intelligent Detection of Silent Myocardial Ischemia Dynamic Electrocardiogram Based on Deep Learning. 2021. doi: 10.12201/bmr.202111.00009
HONG Liang, PAN Anna, WU Yanghe, YE Xiaoting. Esculin improve lipid accumulation in hepatocytes by inhibiting the PERK/eIF2A/ATF4 signaling pathway. 2024. doi: 10.12201/bmr.202409.00013
shao zeguo. Researching on the Application Mode of Intelligent Technology in Stroke Intervention Care. 2023. doi: 10.12201/bmr.202302.00004
lvhekai, wangfuzhi. Analysis on influencing factors of digital health technology application obstacles in the elderly. 2023. doi: 10.12201/bmr.202311.00009
Zhang Qian, Wang Peng, Yan Ci, Guan Yin, Mu Jian-kang, Lu Zheng-peng, Wu Chen, Sun gang. Research on application of medical Data Privacy Protection Technology. 2020. doi: 10.12201/bmr.202008.00015
DingTao, LiuFeng, YangSai. Comparative Study on Application of Integration Technology of Medical Big Data Dual Active System. 2023. doi: 10.12201/bmr.202303.00015
GU Yanhong. Study and evaluation of diagnostic methods for HIV co-infection with tuberculosis: a network meta-analysis. 2024. doi: 10.12201/bmr.202411.00005
Discussion on the application of 5G network technology in medical field. 2020. doi: 10.12201/bmr.202005.00244
-
ID Submit time Number Download 1 2024-09-12 10.12201/bmr.202410.00045V1
Download -
-
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 660
- Download: 10
- Comment: 0

Login
Register




京公网安备