A near-infrared fluorescence probe with large Stokes shift for selectively monitoring nitroreductase in living cells and mouse tumor models

化学 硝基还原酶 荧光 斯托克斯位移 荧光团 缺氧(环境) 荧光寿命成像显微镜 生物物理学 氧气 生物化学 量子力学 生物 物理 有机化学
作者
Yongqing Zhou,Xiaofeng Yang,Jing Zhang,Shuai Xu,Mei Yan
出处
期刊:Talanta [Elsevier]
卷期号:274: 125976-125976 被引量:3
标识
DOI:10.1016/j.talanta.2024.125976
摘要

Hypoxia is commonly regarded as a typical feature of solid tumors, which originates from the insufficient supply of oxygen. Herein, the development of an efficient method for assessing hypoxia levels in tumors is strongly desirable. Nitroreductase (NTR) is an overexpressed reductase in the solid tumors, has been served as a potential biomarker to evaluate the degrees of hypoxia. In this work, we elaborately synthesized a new near-infrared (NIR) fluorescence probe (MR) to monitor NTR activity for assessment of hypoxia levels in living cells and in tumors. Upon exposure of NTR, the nitro-unit of MR could be selectively reduced to amino-moiety with the help of nicotinamide adenine dinucleotide. Moreover, the obtained fluorophore emitted a prominent NIR fluorescence, because it possessed a classical "push-pull" structure. The MR displayed several distinguished characters toward NTR, including intense NIR fluorescent signals, large Stokes shift, high selectivity and low limit of detection (46 ng/mL). Furthermore, cellular confocal fluorescence imaging results validated that the MR had potential of detecting NTR levels in hypoxic cells. Significantly, using the MR, the elevated of NTR levels were successfully visualized in the tumor-bearing mouse models. Therefore, this detecting platform based on this probe may be tactfully constructed for monitoring the variations of NTR and estimating the degrees of hypoxia in tumors.
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
脑洞疼应助Dreamable采纳,获得10
1秒前
1秒前
2秒前
2秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
吼吼应助科研通管家采纳,获得10
3秒前
桐桐应助科研通管家采纳,获得10
3秒前
浮游应助科研通管家采纳,获得10
3秒前
3秒前
深情安青应助科研通管家采纳,获得10
3秒前
吼吼应助科研通管家采纳,获得10
3秒前
寻道图强应助科研通管家采纳,获得50
3秒前
ding应助科研通管家采纳,获得10
3秒前
Verity应助科研通管家采纳,获得20
3秒前
科研通AI6应助科研通管家采纳,获得10
3秒前
吼吼应助科研通管家采纳,获得10
3秒前
CipherSage应助科研通管家采纳,获得10
3秒前
情怀应助科研通管家采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
4秒前
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
隐形曼青应助科研通管家采纳,获得10
4秒前
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
4秒前
Junning应助科研通管家采纳,获得100
4秒前
w1kend发布了新的文献求助10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
蓝天应助科研通管家采纳,获得10
4秒前
所所应助科研通管家采纳,获得10
4秒前
ssuoi完成签到,获得积分10
4秒前
思源应助luo采纳,获得10
4秒前
佳雯发布了新的文献求助10
4秒前
slz发布了新的文献求助10
5秒前
十二码前的沉思完成签到,获得积分10
5秒前
7秒前
闫素肃发布了新的文献求助10
7秒前
Nofear发布了新的文献求助10
8秒前
10秒前
徐新雨发布了新的文献求助10
10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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5680124
求助须知:如何正确求助?哪些是违规求助? 4996372
关于积分的说明 15171821
捐赠科研通 4839954
什么是DOI,文献DOI怎么找? 2593739
邀请新用户注册赠送积分活动 1546730
关于科研通互助平台的介绍 1504779