Toolkit for Quickly Generating and Characterizing Molecular Probes Specific for SARS-CoV-2 Nucleocapsid as a Primer for Future Coronavirus Pandemic Preparedness

周质间隙 融合蛋白 计算生物学 生物信息学 病毒学 重组DNA 报告基因 荧光素酶 生物 人口 大肠杆菌 分子生物学 基因 遗传学 基因表达 医学 转染 环境卫生
作者
Laura J. Sherwood,Andrew Hayhurst
出处
期刊:ACS Synthetic Biology [American Chemical Society]
卷期号:10 (2): 379-390 被引量:10
标识
DOI:10.1021/acssynbio.0c00566
摘要

Generating and characterizing immunoreagents to enable studies of novel emerging viruses is an area where ensembles of synthetic genes, recombinant antibody pipelines, and modular antibody-reporter fusion proteins can respond rapidly. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread through the global population causing widespread morbidity, mortality, and socioeconomic chaos. Using SARS-CoV-2 as our model and starting with a gBlocks encoded nucleocapsid (N) gene, we purified recombinant protein from E. coli, to serve as bait for selecting semisynthetic nanobodies from our Nomad single-pot library. Clones were isolated in days and first fused to Gaussia luciferase to determine EC50 in the tens of nM range, and second fused to the ascorbate peroxidase derivative APEX2 for sensitive detection of SARS-CoV-2 infected cells. To generate inherently fluorescent immunoreagents, we introduce novel periplasmic sdAb fusions made with mNeonGreen and mScarlet-I, which were produced at milligram amounts. The fluorescent fusion proteins enabled concise visualization of SARS-CoV-2 N in the cytoplasm but not in the nucleus 24 h post infection, akin to the distribution of SARS-CoV N, thereby validating these useful imaging tools. SdAb reactivity appeared specific to SARS-CoV-2 with very much weaker binding to SARS-CoV, and no noticeable cross-reactivity to a panel of overexpressed human codon optimized N proteins from other CoV. High periplasmic expression levels and in silico immortalization of the nanobody constructs guarantees a cost-effective and reliable source of SARS-CoV-2 immunoreagents. Our proof-of-principle study should be applicable to known and newly emerging CoV to broaden the tools available for their analysis and help safeguard human health in a more proactive than reactive manner.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
pluto应助科研通管家采纳,获得10
2秒前
FashionBoy应助科研通管家采纳,获得10
2秒前
彭于晏应助科研通管家采纳,获得10
2秒前
孙一应助科研通管家采纳,获得10
2秒前
汉堡包应助科研通管家采纳,获得10
3秒前
Lipeng应助科研通管家采纳,获得10
3秒前
慕青应助科研通管家采纳,获得10
3秒前
简单的沂完成签到,获得积分10
6秒前
程艳完成签到 ,获得积分10
8秒前
9秒前
11秒前
12秒前
简单的沂发布了新的文献求助20
12秒前
13秒前
胜天半子应助guozizi采纳,获得10
13秒前
小杜老师完成签到,获得积分10
13秒前
152522完成签到,获得积分20
14秒前
152522发布了新的文献求助10
16秒前
李爱国应助背后城采纳,获得10
17秒前
Delight完成签到,获得积分10
17秒前
小杜老师发布了新的文献求助10
19秒前
19秒前
研友_LMy6kL完成签到,获得积分10
20秒前
22秒前
材料人完成签到,获得积分10
22秒前
25秒前
仲夏发布了新的文献求助30
26秒前
28秒前
美丽河马发布了新的文献求助10
28秒前
31秒前
小二郎应助美丽河马采纳,获得10
34秒前
38秒前
陈强完成签到,获得积分10
39秒前
感动书文完成签到,获得积分10
39秒前
41秒前
庸人自扰完成签到,获得积分10
42秒前
Nollet发布了新的文献求助10
43秒前
努力发一区完成签到 ,获得积分10
45秒前
Leon完成签到,获得积分10
53秒前
Yifan2024应助坚强的笑天采纳,获得30
54秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
BIOLOGY OF NON-CHORDATES 1000
进口的时尚——14世纪东方丝绸与意大利艺术 Imported Fashion:Oriental Silks and Italian Arts in the 14th Century 800
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
Zeitschrift für Orient-Archäologie 500
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3352334
求助须知:如何正确求助?哪些是违规求助? 2977561
关于积分的说明 8680037
捐赠科研通 2658501
什么是DOI,文献DOI怎么找? 1455839
科研通“疑难数据库(出版商)”最低求助积分说明 674121
邀请新用户注册赠送积分活动 664666