Revealing the Effects of Endoplasmic Reticulum Stress on Ferroptosis by Two-Channel Real-Time Imaging of pH and Viscosity

内质网 化学 未折叠蛋白反应 粘度 生物物理学 脂质过氧化 细胞凋亡 细胞内 细胞生物学 氧化应激 生物化学 生物 量子力学 物理
作者
Wenhui Song,Weiyao Zhang,Lizhou Yue,Weiying Lin
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (17): 6557-6565 被引量:70
标识
DOI:10.1021/acs.analchem.2c00387
摘要

Endoplasmic reticulum (ER) is sensitive to changes in the intracellular environment such as pH and viscosity, and slight changes may trigger stress response. Besides, different from apoptosis and necrosis, ferroptosis is the result of lipid peroxidation accumulation. There is evidence that ferroptosis is closely related to endoplasmic reticulum stress (ERS). However, the possible changes in the pH and viscosity of the ER during the ferroptosis process have not yet been studied. Therefore, we used a new type of ER-targeted dual-excitation fluorescent probe (DSPI-3) to investigate the possible changes of pH and viscosity of ER during the ferroptosis. The novel probe DSPI-3 exhibited a highly sensitive and selective response to pH and viscosity. During the bioimaging process, it was found that the ER acidified and viscosity increased during the ferroptosis process induced by erastin, while the cells treated with ferrostatin-1 did not alter significantly. In addition, when dithiothreitol (DTT) and erastin stimulated the cells at the same time, we discovered that ER was acidified considerably at short notice, but the pH was slightly increased in the later stage. Besides, the change of the viscosity enhanced slowly with the passage of time, and there was a noteworthy decline in the later stage, demonstrating that the DTT-induced ERS accelerated the process of ferroptosis. We hope that this unique fluorescent probe can provide an effective method for studying the relationship between ERS and ferroptosis.
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
CodeCraft应助北陌采纳,获得10
刚刚
1秒前
1秒前
1秒前
suai发布了新的文献求助10
1秒前
彭于晏应助是否是v的支持采纳,获得10
1秒前
㊣㊣完成签到,获得积分10
1秒前
wlz发布了新的文献求助10
1秒前
不甜完成签到,获得积分10
2秒前
GGGG关注了科研通微信公众号
2秒前
神勇的秋烟完成签到,获得积分20
2秒前
bkagyin应助兴奋烤鸡采纳,获得10
2秒前
花满楼完成签到,获得积分10
2秒前
HeyHsc发布了新的文献求助10
2秒前
野性的博发布了新的文献求助20
3秒前
科研白发布了新的文献求助10
3秒前
Hello应助布丁采纳,获得10
4秒前
CasonLeeee发布了新的文献求助10
4秒前
坚定思烟完成签到 ,获得积分10
4秒前
烟花应助Jason采纳,获得10
5秒前
minjie发布了新的文献求助10
5秒前
加贝峥完成签到,获得积分10
5秒前
5秒前
6秒前
云雨发布了新的文献求助10
6秒前
ufo发布了新的文献求助10
6秒前
wlz发布了新的文献求助10
7秒前
全没了发布了新的文献求助10
7秒前
7秒前
英吉利25发布了新的文献求助10
8秒前
NexusExplorer应助als88采纳,获得10
8秒前
Wangyingbo完成签到,获得积分10
8秒前
8秒前
5999发布了新的文献求助10
9秒前
9秒前
充电宝应助木头鱼采纳,获得10
9秒前
阳光鸡蛋症完成签到,获得积分20
10秒前
10秒前
小巧皮卡丘完成签到,获得积分10
10秒前
yyyyy完成签到,获得积分10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7255253
求助须知:如何正确求助?哪些是违规求助? 8877245
关于积分的说明 18746021
捐赠科研通 6935680
什么是DOI,文献DOI怎么找? 3200333
关于科研通互助平台的介绍 2374898
邀请新用户注册赠送积分活动 2175427