4.7 Article

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

期刊

NATURE PROTOCOLS
卷 13, 期 10, 页码 2362-2386

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41596-018-0042-5

关键词

-

资金

  1. National Key Research and Development Program of China [2017YFC0906900, 2017YFA050400, 2016YFA0100602, 2017YFA0103302]
  2. NSFC [31722033, 91649123, 31671484, 31225008, 31470833, 91749203, 81525010, 81420108017]
  3. Shanghai Science and Technology Commission [14XD1401400, 16430723100, 15YF1402600]
  4. Young Elite Scientists Sponsorship Program by Cast
  5. State Key Laboratory of Bioreactor Engineering
  6. Fundamental Research Funds for the Central Universities
  7. US National Institutes of Health [HL061795, HG007690, GM107618]
  8. American Heart Association [D700382]
  9. Shanghai Young Top-notch Talent

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据