Regulating enzymatic reactions in Escherichia coli utilizing light-responsive cellular compartments based on liquid-liquid phase separation

舱室(船) 化学 胞浆 合成生物学 细胞室 光遗传学 生物物理学 生物化学 生物 计算生物学 细胞 海洋学 神经科学 地质学
作者
Zikang Huang,Lize Sun,Genzhe Lu,Hongrui Liu,Zihan Zhai,S. H. Feng,Ji Gao,Chun‐Yu Chen,Chuheng Qing,Meng Fang,Bowen Chen,Jiale Fu,Xuan Wang,Guo‐Qiang Chen
标识
DOI:10.1101/2020.11.26.395616
摘要

Abstract Enzymatic reactions in cells are well organized into different compartments, among which protein-based membraneless compartments formed through liquid-liquid phase separation (LLPS) are believed to play important roles 1,2 . Hijacking them for our own purpose has promising applications in metabolic engineering 3 . Yet, it is still hard to precisely and dynamically control target enzymatic reactions in those compartments 4 . To address those problems, we developed Photo-Activated Switch in E. coli (PhASE), based on phase separating scaffold proteins and optogenetic tools. In this system, a protein of interest (POI) can be enriched up to 15-fold by LLPS-based compartments from cytosol within only a few seconds once activated by light, and become fully dispersed again within 15 minutes. Furthermore, we explored the potentiality of the LLPS-based compartment in enriching small organic molecules directly via chemical-scaffold interaction. With enzymes and substrates co-localized under light induction, the overall reaction efficiency could be enhanced. Using luciferin and catechol oxidation as model enzymatic reactions, we found that they could accelerate 2.3-fold and 1.6-fold, respectively, when regulated by PhASE. We anticipate our system to be an extension of the synthetic biology toolkit, facilitating rapid recruitment and release of POIs, and reversible regulation of enzymatic reactions.

科研通智能强力驱动
Strongly Powered by AbleSci AI

祝大家在新的一年里科研腾飞
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
王大强完成签到 ,获得积分10
1秒前
科研通AI6.1应助雨濛濛采纳,获得10
1秒前
2秒前
3秒前
4秒前
学习发布了新的文献求助10
4秒前
在水一方应助吴下阿龙采纳,获得20
4秒前
营养小刘发布了新的文献求助10
5秒前
GALAXY发布了新的文献求助10
5秒前
火焰迷踪完成签到,获得积分10
6秒前
6秒前
小桂园发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
11秒前
微笑荟发布了新的文献求助10
12秒前
爆米花应助科研通管家采纳,获得10
12秒前
Akim应助科研通管家采纳,获得10
12秒前
小胖应助科研通管家采纳,获得10
12秒前
英姑应助科研通管家采纳,获得10
12秒前
wanci应助科研通管家采纳,获得20
12秒前
英姑应助科研通管家采纳,获得10
12秒前
李健应助科研通管家采纳,获得10
12秒前
万能图书馆应助dream采纳,获得10
13秒前
fufu发布了新的文献求助10
15秒前
15秒前
无风风发布了新的文献求助10
15秒前
科研通AI6.2应助李悟尔采纳,获得10
17秒前
无限的雅山完成签到,获得积分10
17秒前
深情安青应助Sikii采纳,获得10
17秒前
xiaomiao完成签到,获得积分10
18秒前
SHY1994完成签到,获得积分10
20秒前
20秒前
Ava应助篇篇高分采纳,获得10
21秒前
22秒前
23秒前
hyx完成签到,获得积分10
24秒前
tangyuyi发布了新的文献求助10
24秒前
我不吃辣条完成签到 ,获得积分10
25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
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Driving under the influence: Epidemiology, etiology, prevention, policy, and treatment 500
生活在欺瞒的年代:傅树介政治斗争回忆录 260
A History of Rice in China 200
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5874805
求助须知:如何正确求助?哪些是违规求助? 6510728
关于积分的说明 15675172
捐赠科研通 4992381
什么是DOI,文献DOI怎么找? 2691139
邀请新用户注册赠送积分活动 1633514
关于科研通互助平台的介绍 1591186