Tracking lipid droplet dynamics for the discrimination of cancer cells by a solvatochromic fluorescent probe

癌细胞 荧光 脂滴 生物物理学 癌症 化学 斯托克斯位移 生物 生物化学 光学 物理 遗传学
作者
Linlin Yang,Jianping Wang,Bianhua Liu,Guangmei Han,Hong Wang,Liang Yang,Jun Zhao,Ming‐Yong Han,Zhongping Zhang
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:333: 129541-129541 被引量:29
标识
DOI:10.1016/j.snb.2021.129541
摘要

High lipid metabolism is one of the fundamental characteristics of cancer cells different from normal cells due to lots of energy needed for the fast proliferation of cancer cells. As an important organelle to supply cellular energy, however, the difference of lipid droplets (LDs) in their dynamic features between cancer cells and normal cells remains unclear. A key difficulty is to develop a specific fluorescence-tunable probe with high signal-to-noise for rapidly and accurately identifying cancer cells via tracking lipid droplets’ dynamics. Here, we report a solvatochromic fluorescent probe, dansyl-morpholine (DNS-M), with high LDs-specificity to achieve the effective discrimination of cancer cells from normal cells by visually profiling the feature difference of LDs dynamics. Probe DNS-M is synthesized easily by one-step reaction, and possesses a large Stokes shift ∼200 nm, excellent photostablity and LDs-targeted capability with high overlap coefficient up to 0.97. Due to the remarkable biomembrance penetration, LDs-specificity and photostability, DNS-M has been applied to distinguish cancer cells from normal cells rapidly within 1 min in living cells and fixed cells, and real-time track dynamic behaviors of LDs in cancer cells, such as association, dissociation and fusion. More importantly, a significant difference in LDs behavior modes between cancer cells and normal cells is successfully visualized for the first time with our probe. We envision that our probe will become a rapid and easy-to-operate tool for cancer diagnosis and deeper understanding of LDs-related behaviors in cancer cells.

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
Sky完成签到,获得积分10
1秒前
Nacies应助DannyLee_22采纳,获得10
2秒前
2秒前
chen应助菠萝蜜采纳,获得10
3秒前
cbyyy发布了新的文献求助10
3秒前
风趣的雪柳完成签到,获得积分10
3秒前
FashionBoy应助姹紫嫣红的黑采纳,获得10
3秒前
可爱的函函应助lilili采纳,获得10
4秒前
陈秋禹完成签到,获得积分10
4秒前
Ada完成签到 ,获得积分10
5秒前
7秒前
DannyLee_22完成签到,获得积分10
8秒前
9秒前
小鱼冻干发布了新的文献求助10
9秒前
9秒前
ma121发布了新的文献求助10
12秒前
传统的捕完成签到,获得积分10
13秒前
科目三应助wrm采纳,获得10
13秒前
轻松鸿煊完成签到 ,获得积分10
14秒前
Orange应助11采纳,获得10
14秒前
一行完成签到,获得积分10
15秒前
萍萍发布了新的文献求助10
16秒前
阿刘哥完成签到,获得积分10
16秒前
清脆大树完成签到,获得积分10
17秒前
清秀的金鱼完成签到,获得积分10
17秒前
rocio应助乱世才子采纳,获得10
17秒前
Gin完成签到 ,获得积分10
17秒前
18秒前
Jessy畅畅应助puhong zhang采纳,获得10
18秒前
18秒前
18秒前
19秒前
20秒前
21秒前
逢写必中发布了新的文献求助10
22秒前
22秒前
yayiyayi应助菠萝蜜采纳,获得10
23秒前
23秒前
圈圈完成签到,获得积分10
23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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Periodic Report Summary 2 - AFTER (A Framework for electrical power sysTems vulnerability identification, dEfense and Restoration) 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 7319208
求助须知:如何正确求助?哪些是违规求助? 8934980
关于积分的说明 18940494
捐赠科研通 6977982
什么是DOI,文献DOI怎么找? 3214360
关于科研通互助平台的介绍 2382246
邀请新用户注册赠送积分活动 2193334