Development of a Broadly Applicable Cas12a-Linked Beam Unlocking Reaction for Sensitive and Specific Detection of Respiratory Pathogens Including SARS-CoV-2

清脆的 病毒学 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 2019年冠状病毒病(COVID-19) 生物 冠状病毒 呼吸系统 爆发 计算生物学 医学 传染病(医学专业) 病理 疾病 基因 遗传学 解剖
作者
Yu Wang,Donglan Liu,Huihuang Lin,Dingbin Chen,Jing Sun,Yusang Xie,Xinjie Wang,Peixiang Ma,Yan Nie,Hong Mei,Baihui Zhao,Xingxu Huang,Ge Jiang,Xianxing Jiang,Jieming Qu,Jincun Zhao,Jia Liu
出处
期刊:ACS Chemical Biology [American Chemical Society]
卷期号:16 (3): 491-500 被引量:15
标识
DOI:10.1021/acschembio.0c00840
摘要

The outbreak of novel coronavirus SARS-CoV-2 has caused a worldwide threat to public health. COVID-19 patients with SARS-CoV-2 infection can develop clinical symptoms that are often confused with the infections of other respiratory pathogens. Sensitive and specific detection of SARS-CoV-2 with the ability to discriminate from other viruses is urgently needed for COVID-19 diagnosis. Herein, we streamlined a highly efficient CRISPR-Cas12a-based nucleic acid detection platform, termed Cas12a-linked beam unlocking reaction (CALIBURN). We show that CALIBURN could detect SARS-CoV-2 and other coronaviruses and influenza viruses with little cross-reactivity. Importantly, CALIBURN allowed accurate diagnosis of clinical samples with extremely low viral loads, which is a major obstacle for the clinical applications of existing CRISPR diagnostic platforms. When tested on the specimens from SARS-CoV-2-positive and negative donors, CALIBURN exhibited 73.0% positive and 19.0% presumptive positive rates and 100% specificity. Moreover, unlike existing CRISPR detection methods that were mainly restricted to respiratory specimens, CALIBURN displayed consistent performance across both respiratory and nonrespiratory specimens, suggesting its broad specimen compatibility. Finally, using a mouse model of SARS-CoV-2 infection, we demonstrated that CALIBURN allowed detection of coexisting pathogens without cross-reactivity from a single tissue specimen. Our results suggest that CALIBURN can serve as a versatile platform for the diagnosis of COVID-19 and other respiratory infectious diseases.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
将军发布了新的文献求助10
刚刚
liuchao完成签到,获得积分10
1秒前
HCLonely完成签到,获得积分0
1秒前
无语的安卉完成签到,获得积分10
1秒前
跳跃的惮完成签到,获得积分10
2秒前
英勇星月完成签到 ,获得积分10
2秒前
2秒前
落叶听风笑完成签到,获得积分10
2秒前
吕姆克的月壤完成签到,获得积分10
3秒前
隐形曼青应助123采纳,获得10
3秒前
苹果芷雪完成签到,获得积分10
3秒前
来杯乌龙茶完成签到,获得积分10
3秒前
Darsine完成签到,获得积分10
4秒前
FQZ完成签到,获得积分10
4秒前
木可完成签到,获得积分10
4秒前
结实山水完成签到 ,获得积分10
4秒前
dark_zone完成签到,获得积分10
5秒前
5秒前
自由的冬灵完成签到 ,获得积分10
5秒前
5秒前
huimin发布了新的文献求助30
5秒前
liu完成签到,获得积分10
5秒前
乐无忧完成签到 ,获得积分10
5秒前
madison完成签到,获得积分10
6秒前
6秒前
半间歇式聚合反应完成签到 ,获得积分10
6秒前
盛开的芒果完成签到,获得积分10
7秒前
爱逛动物园完成签到,获得积分10
7秒前
LewisAcid完成签到,获得积分0
7秒前
今后应助壹拾采纳,获得10
7秒前
咩夸应助dark_zone采纳,获得10
7秒前
7秒前
先锋老刘001完成签到,获得积分10
7秒前
灵感大王喵完成签到 ,获得积分10
7秒前
欢呼的巧蕊完成签到,获得积分10
8秒前
赵一完成签到,获得积分10
8秒前
周某某完成签到,获得积分10
9秒前
张小黑发布了新的文献求助10
9秒前
10秒前
yellow完成签到 ,获得积分10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6059219
求助须知:如何正确求助?哪些是违规求助? 7891832
关于积分的说明 16297633
捐赠科研通 5203470
什么是DOI,文献DOI怎么找? 2783957
邀请新用户注册赠送积分活动 1766631
关于科研通互助平台的介绍 1647165