Analysis of redox landscapes and dynamics in living cells and in vivo using genetically encoded fluorescent sensors

活体细胞成像 多路复用 斑马鱼 流式细胞术 氧化还原 细胞生物学 活性氧 NAD+激酶 荧光显微镜 荧光 生物 共焦显微镜 荧光寿命成像显微镜 绿色荧光蛋白 荧光素酶 计算生物学 生物物理学 细胞 生物化学 化学 分子生物学 生物信息学 转染 基因 物理 有机化学 量子力学
作者
Yejun Zou,Aoxue Wang,Mei Shi,Xianjun Chen,Renmei Liu,Ting Li,Chenxia Zhang,Zhuo Zhang,Linyong Zhu,Zhenyu Ju,Joseph Loscalzo,Yi Yang,Yuzheng Zhao
出处
期刊:Nature Protocols [Nature Portfolio]
卷期号:13 (10): 2362-2386 被引量:97
标识
DOI:10.1038/s41596-018-0042-5
摘要

Cellular oxidation-reduction reactions are mainly regulated by pyridine nucleotides (NADPH/NADP+ and NADH/NAD+), thiols, and reactive oxygen species (ROS) and play central roles in cell metabolism, cellular signaling, and cell-fate decisions. A comprehensive evaluation or multiplex analysis of redox landscapes and dynamics in intact living cells is important for interrogating cell functions in both healthy and disease states; however, until recently, this goal has been limited by the lack of a complete set of redox sensors. We recently reported the development of a series of highly responsive, genetically encoded fluorescent sensors for NADPH that substantially strengthen the existing toolset of genetically encoded sensors for thiols, H2O2, and NADH redox states. By combining sensors with unique spectral properties and specific subcellular targeting domains, our approach allows simultaneous imaging of up to four different sensors. In this protocol, we first describe strategies for multiplex fluorescence imaging of these sensors in single cells; then we demonstrate how to apply these sensors to study changes in redox landscapes during the cell cycle, after macrophage activation, and in living zebrafish. This approach can be adapted to different genetically encoded fluorescent sensors and various analytical platforms such as fluorescence microscopy, high-content imaging systems, flow cytometry, and microplate readers. A typical preparation of cells or zebrafish expressing different sensors takes 2-3 d; microscopy imaging or flow-cytometry analysis can be performed within 5-60 min.
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
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
愉快迎南发布了新的文献求助10
刚刚
1秒前
CipherSage应助sanshu采纳,获得10
1秒前
2秒前
2秒前
3秒前
宝铭YUAN完成签到,获得积分10
3秒前
20应助taipingyang采纳,获得10
3秒前
kerguelen发布了新的文献求助10
5秒前
橱窗完成签到,获得积分10
6秒前
比迪奇发布了新的文献求助10
6秒前
6秒前
冯F完成签到,获得积分10
7秒前
7秒前
科研通AI6.2应助Li采纳,获得10
8秒前
8秒前
俱欢颜发布了新的文献求助10
8秒前
8秒前
8秒前
cxwong完成签到 ,获得积分10
11秒前
稳如老狗发布了新的文献求助10
11秒前
踏实一德完成签到,获得积分10
13秒前
孤独的0hz完成签到 ,获得积分10
14秒前
14秒前
15秒前
gpccyq完成签到,获得积分10
16秒前
16秒前
111发布了新的文献求助10
17秒前
18秒前
He377发布了新的文献求助30
18秒前
科研通AI6.4应助比迪奇采纳,获得10
18秒前
万能图书馆应助稳如老狗采纳,获得10
19秒前
上官若男应助kerguelen采纳,获得30
20秒前
离线发布了新的文献求助10
21秒前
项景亮发布了新的文献求助10
22秒前
22秒前
23秒前
24秒前
安详香旋应助song采纳,获得10
24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
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781897
求助须知:如何正确求助?哪些是违规求助? 9321610
关于积分的说明 20383707
捐赠科研通 7369875
什么是DOI,文献DOI怎么找? 3320174
关于科研通互助平台的介绍 2468018
邀请新用户注册赠送积分活动 2336117