Construction of HClO activated near-infrared fluorescent probe for imaging hepatocellular carcinoma

肝细胞癌 化学 荧光 肝细胞 肝癌 癌症研究 体内 癌细胞 细胞 癌症 生物化学 体外 内科学 医学 生物 光学 生物技术 物理
作者
Songjiao Li,Peipei Wang,Ke Yang,Ying Liu,Dan Cheng,Longwei He
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1252: 341009-341009 被引量:58
标识
DOI:10.1016/j.aca.2023.341009
摘要

Hepatocellular carcinoma (HCC) is one of the most common malignancies in the liver with poor prognosis. In order to improve the prognosis and overall survival of patients with HCC, it is important to identify it at early stage and resect it precisely. Cell microenvironment, active compounds, and enzymes may change during the cancerization of hepatocytes. Hypochlorous acid (HClO), one of the most significant signal molecules in the cellular signaling pathway, plays an important role in many cellular processes. To detect and treat liver cancers, it is imperative to study how HClO levels change in hepatocytes. However, developing fluorescent probes specific to liver cells to detect HClO still challenging. Herein, we designed and synthesized a NIR hepatocyte-specific fluorescent probe (MBH-MT) that displayed excellent optical properties for detecting HClO in biological samples. Cell imaging experiment conducted with the unique probe MBH-MT, showed that the biocompatible sensor is capable of monitoring HClO and distinguishing normal cells from cancer cells (e.g., HepG2, HUVEC, RAW264.7, L02 and HK-2 cells). An organ imaging experiment with the probe MBH-MT demonstrated its effectiveness in diagnosing and imaging hepatocellular carcinoma in vivo. MBH-MT's in situ imaging also demonstrated that it can target and image mouse hepatocellular carcinomas. Furthermore, MBH-MT has also successfully been used to diagnose and guide liver cancer surgery early. In the future, we expect that this powerful tool may be help in the detection and imaging of hepatocellular carcinoma, which may affect a large number of people.
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
2秒前
星星完成签到 ,获得积分10
3秒前
mmmxuuuuan完成签到,获得积分10
3秒前
王宇琦完成签到 ,获得积分10
5秒前
科研通AI2S应助花儿采纳,获得10
5秒前
men完成签到,获得积分20
5秒前
hongzhi完成签到,获得积分10
6秒前
6秒前
7秒前
Geodada发布了新的文献求助10
9秒前
我是老大应助华殇书生采纳,获得10
9秒前
英俊的铭应助qq采纳,获得30
10秒前
小蘑菇应助科研通管家采纳,获得10
10秒前
CipherSage应助科研通管家采纳,获得10
11秒前
科目三应助科研通管家采纳,获得10
11秒前
ding应助科研通管家采纳,获得10
11秒前
12秒前
斯文败类应助小轩采纳,获得10
12秒前
NexusExplorer应助科研通管家采纳,获得10
12秒前
Copyright应助科研通管家采纳,获得10
12秒前
深情安青应助热带蚂蚁采纳,获得10
12秒前
无极微光应助科研通管家采纳,获得20
12秒前
我是老大应助科研通管家采纳,获得10
13秒前
idiot发布了新的文献求助10
13秒前
香蕉觅云应助科研通管家采纳,获得10
13秒前
饱满的纹发布了新的文献求助10
13秒前
13秒前
丘比特应助科研通管家采纳,获得10
13秒前
彭于晏应助科研通管家采纳,获得30
14秒前
完美世界应助科研通管家采纳,获得10
14秒前
wz完成签到,获得积分10
14秒前
领导范儿应助科研通管家采纳,获得10
14秒前
麦尔丹发布了新的文献求助10
14秒前
14秒前
思源应助科研通管家采纳,获得10
14秒前
Owen应助科研通管家采纳,获得30
15秒前
田様应助科研通管家采纳,获得10
15秒前
SciGPT应助科研通管家采纳,获得10
15秒前
Copyright应助科研通管家采纳,获得10
15秒前
ZZZZZZZZrr完成签到,获得积分20
16秒前
高分求助中
液晶指向矢仿真分析数据集 8888
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
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 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6899787
求助须知:如何正确求助?哪些是违规求助? 8594940
关于积分的说明 18247585
捐赠科研通 6299197
什么是DOI,文献DOI怎么找? 3061855
关于科研通互助平台的介绍 2082341
邀请新用户注册赠送积分活动 2039706