A robust ratiometric photoacoustic and fluorescence dual-modal molecular probe for capturing endogenous HNO generation in tumor mice model

生物医学中的光声成像 荧光 体内 硝基还原酶 分子成像 化学 生物物理学 光学 生物 物理 生物化学 前药 生物技术
作者
Li Liu,Liping Wang,Bisui Tan,Xingqing Wu,Xing-can Shen,Hua Chen
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:384: 133646-133646 被引量:14
标识
DOI:10.1016/j.snb.2023.133646
摘要

HNO is reported in association with a wide variety of physiological and pathological states. However, photoacoustic (PA)/fluorescence (FL) dual-modal probes with complementary advantages for detection of HNO in living systems, especially in tumors, are still lacking. Herein, the first near-infrared (NIR) ratiometric PA/FL dual-modal probe (DOP-HNO), composed of a dual ratiometric molecular skeleton caged with 2-(diphenylphosphino)-benzoate group, was designed and synthesized for capturing endogenous HNO generation in vivo. DOP-HNO was able to specifically and sensitively respond to HNO with 4-fold ratiometric fluorescence enhancement (F783/F720) and 2.6-fold ratiometric PA enhancement (PA740/PA670). Moreover, DOP-HNO successfully visualized HNO fluctuations in 4T1 cells and living mice, and the crosstalk between NO and H2S in the tumors of living mice was clearly observed through NIR dual-ratiometric PA/FL imaging, indicating the accurate detection of HNO in vivo. More importantly, using DOP-HNO, for the first time, we provided the visualization evidence of endogenous HNO generation in cancer model and further investigated its possible generation mechanisms by H2S/NO interaction. Thus, we envision that the dual-modal probe DOP-HNO will be an effective tool to study the complex relationship between HNO and cancer as well as the pathology of other HNO-related diseases.
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
Rai发布了新的文献求助10
刚刚
年轻的茗茗完成签到,获得积分10
刚刚
刚刚
刚刚
小马驹完成签到,获得积分10
1秒前
lilpeed完成签到,获得积分20
1秒前
2秒前
青萝小字发布了新的文献求助20
2秒前
风中向日葵完成签到,获得积分10
2秒前
2秒前
舒适小馒头完成签到,获得积分10
3秒前
小吴完成签到,获得积分10
3秒前
柚屿完成签到,获得积分10
3秒前
3秒前
relax完成签到 ,获得积分10
3秒前
Ning_发布了新的文献求助20
3秒前
3秒前
3秒前
3秒前
小马驹发布了新的文献求助10
3秒前
4秒前
4秒前
小由发布了新的文献求助10
6秒前
Ww完成签到,获得积分10
6秒前
冯晓潮完成签到 ,获得积分10
6秒前
小二郎应助风中向日葵采纳,获得10
6秒前
酷波er应助咕噜咕噜采纳,获得10
6秒前
MSRSY发布了新的文献求助10
7秒前
wanci应助夏阳采纳,获得10
7秒前
xW12123发布了新的文献求助10
7秒前
7秒前
打打应助简亓采纳,获得10
7秒前
lilpeed发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
跳跃的老三完成签到,获得积分10
8秒前
9秒前
可靠的墨镜完成签到 ,获得积分10
9秒前
反反复复发布了新的文献求助10
9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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
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 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 7740292
求助须知:如何正确求助?哪些是违规求助? 9289038
关于积分的说明 20193425
捐赠科研通 7318510
什么是DOI,文献DOI怎么找? 3306434
关于科研通互助平台的介绍 2458669
邀请新用户注册赠送积分活动 2316546