De novo design of modular and tunable protein biosensors

生物传感器 分析物 适体 模块化设计 融合蛋白 化学 纳米技术 蛋白质工程 计算生物学 计算机科学 生物 重组DNA 生物化学 材料科学 分子生物学 基因 物理化学 操作系统
作者
Alfredo Quijano‐Rubio,Hsien‐Wei Yeh,Jooyoung Park,Hansol Lee,Robert A. Langan,Scott E. Boyken,Marc J. Lajoie,Longxing Cao,Cameron M. Chow,Marcos C. Miranda,Jimin Wi,Hyo Jeong Hong,Lance Stewart,Byung‐Ha Oh,David Baker
出处
期刊:Nature [Nature Portfolio]
卷期号:591 (7850): 482-487 被引量:191
标识
DOI:10.1038/s41586-021-03258-z
摘要

Naturally occurring protein switches have been repurposed for the development of biosensors and reporters for cellular and clinical applications1. However, the number of such switches is limited, and reengineering them is challenging. Here we show that a general class of protein-based biosensors can be created by inverting the flow of information through de novo designed protein switches in which the binding of a peptide key triggers biological outputs of interest2. The designed sensors are modular molecular devices with a closed dark state and an open luminescent state; analyte binding drives the switch from the closed to the open state. Because the sensor is based on the thermodynamic coupling of analyte binding to sensor activation, only one target binding domain is required, which simplifies sensor design and allows direct readout in solution. We create biosensors that can sensitively detect the anti-apoptosis protein BCL-2, the IgG1 Fc domain, the HER2 receptor, and Botulinum neurotoxin B, as well as biosensors for cardiac troponin I and an anti-hepatitis B virus antibody with the high sensitivity required to detect these molecules clinically. Given the need for diagnostic tools to track the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)3, we used the approach to design sensors for the SARS-CoV-2 spike protein and antibodies against the membrane and nucleocapsid proteins. The former, which incorporates a de novo designed spike receptor binding domain (RBD) binder4, has a limit of detection of 15 pM and a luminescence signal 50-fold higher than the background level. The modularity and sensitivity of the platform should enable the rapid construction of sensors for a wide range of analytes, and highlights the power of de novo protein design to create multi-state protein systems with new and useful functions. A modular de novo designed biosensor platform consisting of a cage and key molecule is developed, and used to create sensors for seven distinct proteins including the spike protein from SARS-CoV-2 and anti-SARS antibodies.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
4秒前
李爱国应助静文采纳,获得10
5秒前
9秒前
jiangru发布了新的文献求助30
9秒前
小马甲应助孙总采纳,获得10
11秒前
谢丹完成签到 ,获得积分10
11秒前
量子星尘发布了新的文献求助10
12秒前
13秒前
狸花小喵发布了新的文献求助10
14秒前
ying发布了新的文献求助10
16秒前
17秒前
大气亦巧发布了新的文献求助10
18秒前
拂袖完成签到,获得积分10
19秒前
19秒前
22秒前
小鱼完成签到,获得积分10
22秒前
hecheng发布了新的文献求助30
23秒前
孙总发布了新的文献求助10
23秒前
热心市民小红花应助niusama采纳,获得10
23秒前
24秒前
25秒前
25秒前
Jeamren完成签到,获得积分10
25秒前
赞zan发布了新的文献求助10
26秒前
1230发布了新的文献求助10
27秒前
斯文败类应助大气亦巧采纳,获得30
27秒前
echo发布了新的文献求助10
30秒前
31秒前
32秒前
完美世界应助甜美的成败采纳,获得10
32秒前
风一样的风干肠完成签到,获得积分10
32秒前
theblue发布了新的文献求助10
32秒前
hoijuon应助1230采纳,获得10
34秒前
Akim应助笨笨醉薇采纳,获得10
34秒前
卷卷完成签到,获得积分10
35秒前
蒹葭苍苍完成签到,获得积分10
35秒前
酷波er应助妮妮采纳,获得10
38秒前
chigga发布了新的文献求助10
39秒前
42秒前
小二郎应助chigga采纳,获得10
42秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961022
求助须知:如何正确求助?哪些是违规求助? 3507251
关于积分的说明 11134887
捐赠科研通 3239661
什么是DOI,文献DOI怎么找? 1790309
邀请新用户注册赠送积分活动 872341
科研通“疑难数据库(出版商)”最低求助积分说明 803150