Artificial cells with liquid–liquid phase separation–regulated cell-free protein synthesis

作者
Dongdong Fan,Kaini Liang,Bingjie Wu,Michael W. Chen,Chengyu Sun,Lei Sun,Yan Zhang,Yanan Du
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:122 (47): e2511283122-e2511283122
标识
DOI:10.1073/pnas.2511283122
摘要

The rapid advancement of synthetic biology has enabled the construction of artificial cells that closely mimic the morphology and functionality of their natural counterparts. However, significant limitations remain in engineering artificial cells capable of regulated protein expression. Here, we demonstrate that engineered polymers containing multivalent association motifs can reversibly regulate translational activity through liquid–liquid phase separation (LLPS)–induced protein aggregation, enabling precise temporal control of cell-free protein synthesis (CFPS) activity. This aggregation mechanism exerts a broad inhibitory effect on various enzymes and facilitates the construction of artificial cells with controllable reaction processes. Leveraging this phenomenon, we have developed a microfluidic platform to fabricate giant unilamellar vesicles (GUVs) that encapsulate CFPS systems, thereby constructing artificial cells with finely tunable protein expression. By incorporating targeted DNA templates, these artificial cells can selectively express specific proteins in response to pH adjustments. Furthermore, in vivo studies using a bile duct ligation mouse model with liver injury further confirmed significant differences in protein expression under alkaline conditions compared to neutral conditions. Our findings highlight the potential of leveraging aggregate dynamics for precise, in situ modulation of protein synthesis within artificial cells, thereby opening avenues for their advanced biomedical applications.
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
刚刚
1秒前
韩泽群发布了新的文献求助10
2秒前
稻草人完成签到,获得积分10
4秒前
Magic发布了新的文献求助10
5秒前
6秒前
ZHAN发布了新的文献求助30
6秒前
汉堡包应助DAYTOY采纳,获得10
6秒前
兔子应助kingwill采纳,获得30
7秒前
不个完成签到,获得积分10
7秒前
潮汐发布了新的文献求助10
7秒前
深情安青应助cometx采纳,获得30
7秒前
7秒前
小马甲应助无限平凡采纳,获得10
7秒前
8秒前
迷宫干饭人完成签到,获得积分10
8秒前
10秒前
Murphy完成签到,获得积分10
10秒前
善学以致用应助ximei采纳,获得10
10秒前
韩泽群完成签到,获得积分10
10秒前
11秒前
11秒前
坦率的尔冬完成签到,获得积分10
11秒前
奋斗土豆发布了新的文献求助10
11秒前
烟花应助wanli445采纳,获得10
12秒前
融融虫发布了新的文献求助10
12秒前
13秒前
票子发布了新的文献求助10
14秒前
科研通AI6应助ranke采纳,获得10
15秒前
星辰大海应助123采纳,获得10
15秒前
王一帆发布了新的文献求助10
16秒前
Soopver完成签到,获得积分10
16秒前
和谐听白关注了科研通微信公众号
17秒前
17秒前
背后的雪巧完成签到 ,获得积分10
18秒前
Kyrie发布了新的文献求助10
19秒前
英姑应助森诺采纳,获得10
19秒前
充电宝应助town1223采纳,获得10
19秒前
萌萌发布了新的文献求助10
20秒前
20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
《机器学习——数据表示学习及应用》 600
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
Fiction e non fiction: storia, teorie e forme 500
Routledge Handbook on Spaces of Mental Health and Wellbeing 500
Elle ou lui ? Histoire des transsexuels en France 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5321673
求助须知:如何正确求助?哪些是违规求助? 4463315
关于积分的说明 13889726
捐赠科研通 4354469
什么是DOI,文献DOI怎么找? 2391781
邀请新用户注册赠送积分活动 1385392
关于科研通互助平台的介绍 1355144