Fluorogenic Probes for Functional Imaging of Endoplasmic Reticulum‐Resident Proteins: from Molecular Engineering to Biomedical Applications

内质网 材料科学 分子成像 纳米技术 分子工程 生物物理学 细胞生物学 生物 生物技术 体内
作者
Yufan Fan,Feng Zhang,Yumeng Hao,Lin Chen,Qihang Zhou,Hairong Zeng,Yun‐Qing Song,Zhaobin Guo,Xiaojun Peng,Guang‐Bo Ge
出处
期刊:Advanced Functional Materials [Wiley]
被引量:1
标识
DOI:10.1002/adfm.202416057
摘要

Abstract Endoplasmic reticulum‐resident proteins (ERPs) are crucial for maintaining cellular homeostasis and are tightly associated with the onset and progression of various diseases. The emergence of fluorogenic probes responsive to ERPs has enabled scientists to in situ monitor the spatial distribution and function status of target ERPs in real‐time, which is very helpful for elucidating ERP‐related pathological mechanisms and developing innovative therapeutics. Over the past decade, a range of fluorogenic probes for sensing and imaging ERPs, including ion channels, oxidases, hydrolases, and transferases, have been devised. This review systematically summarizes the recent advances in molecular engineering and biomedical applications of ERP fluorogenic probes. Engineering strategies for constructing ERP‐activatable probes, along with their structural features, recognition fragments, and sensing performances, are discussed. Meanwhile, biomedical applications of these probes in biomarker analysis, disease treatment, multimodal imaging, and drug discovery are also highlighted. Finally, a forward‐looking perspective on the future directions and underlying challenges is explored. The insights and knowledge presented here will spur further innovation and technological breakthroughs in developing multifunctional ERP probes, advancing disease diagnosis, ER biology, and drug discovery.
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
xx完成签到,获得积分20
刚刚
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
中药中医科研狗1123完成签到,获得积分10
1秒前
小蘑菇应助科研通管家采纳,获得10
1秒前
SciGPT应助科研通管家采纳,获得10
1秒前
CodeCraft应助科研通管家采纳,获得10
2秒前
科研通AI5应助LHL采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
wanci应助科研通管家采纳,获得10
2秒前
英姑应助科研通管家采纳,获得10
2秒前
852应助科研通管家采纳,获得10
2秒前
2秒前
ding应助科研通管家采纳,获得10
2秒前
科研通AI5应助科研通管家采纳,获得10
2秒前
丘比特应助科研通管家采纳,获得10
2秒前
nozero应助科研通管家采纳,获得30
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
华仔应助科研通管家采纳,获得50
2秒前
英俊的铭应助科研通管家采纳,获得10
2秒前
nozero应助科研通管家采纳,获得30
3秒前
科研通AI5应助科研通管家采纳,获得10
3秒前
3秒前
cc应助科研通管家采纳,获得10
3秒前
悦耳莫言发布了新的文献求助10
3秒前
Opse完成签到,获得积分10
4秒前
鱼不存在完成签到 ,获得积分10
5秒前
莫愁一舞完成签到,获得积分10
5秒前
6秒前
6秒前
黄昏完成签到,获得积分10
6秒前
Owen应助mu采纳,获得10
7秒前
好困应助Dreamable采纳,获得10
7秒前
7秒前
清脆靳完成签到,获得积分10
8秒前
8秒前
牛肉面完成签到 ,获得积分10
9秒前
阳和启蛰完成签到 ,获得积分10
9秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
Essentials of Performance Analysis in Sport 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3733775
求助须知:如何正确求助?哪些是违规求助? 3278009
关于积分的说明 10006192
捐赠科研通 2994159
什么是DOI,文献DOI怎么找? 1642937
邀请新用户注册赠送积分活动 780727
科研通“疑难数据库(出版商)”最低求助积分说明 748987