Embedding Carbon Nanotubes in Artificial Cells Enhances Probe Transfer

材料科学 碳纳米管 纳米技术 嵌入 碳纤维 化学工程 复合材料 复合数 人工智能 计算机科学 工程类
作者
Junwen Wu,Xuemin Zeng,Lina Wang,Jinghui Zhang,Shuhua Cui,Zixiao Ma,Ruirong Pan,Chang Liu,Dezhao Kong,Juan Song,Lei Liu,Chunying Feng,Wei Shen,Xiaocen Suo,Zixia Lin,Hian Kee Lee,Sheng Tang
出处
期刊:Advanced Materials [Wiley]
标识
DOI:10.1002/adma.202418271
摘要

Monitoring intracellular biomarkers is crucial for clinical disease diagnosis. However, the majority of signaling molecules face difficulties in slow transference across the cell membrane to reach intracellular detection sites, limiting their application in clinical settings. This study proposes an artificial cell-based signal probe transfer-enhanced sensing strategy to effectively detect microRNAs (miRNAs) by embedding carbon nanotubes (CNTs) in artificial cell membranes. The liposome-based artificial cell is constructed to protect the signal probes such as nucleic acids, metal ions, and fluorescent dyes. CNTs are embedded in artificial cell membranes and employed as artificial channels to enhance intercellular signal probe transduction and mass transfer. Through CNTs-mediate cell-cell signal probe transmission, the probes pass through the liposome membrane interface and fuse into target cells, selectively hybridizing with the intracellular target miRNAs, triggering a sensing process and resulting in enhanced fluorescence signal. Furthermore, molecular dynamics simulations are carried out to prove the enhancement of CNTs-mediated cell-cell fusion. This strategy demonstrates excellent analytical performance by quantitatively detecting let-7a miRNA and visualizing it in living colon cancer cells. These findings hold great significance in promoting and accelerating cell-cell signal probe transmission and enabling effective sensing of intracellular biomarkers for diagnostic purposes.
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
刚刚
我是老大应助T拐拐采纳,获得10
2秒前
3秒前
3秒前
4秒前
aaaaaa完成签到,获得积分10
4秒前
涛哥发布了新的文献求助10
6秒前
默默雨梅发布了新的文献求助10
9秒前
9秒前
CipherSage应助暴躁的胡萝卜采纳,获得10
10秒前
11秒前
似水流年发布了新的文献求助10
12秒前
无花果应助南枳采纳,获得10
13秒前
烟花应助忧郁祥采纳,获得10
14秒前
14秒前
涛哥完成签到,获得积分10
15秒前
15秒前
xx_y完成签到 ,获得积分10
16秒前
16秒前
16秒前
Yy杨优秀完成签到 ,获得积分10
16秒前
LH完成签到,获得积分20
17秒前
19秒前
王睿关注了科研通微信公众号
20秒前
23秒前
24秒前
qianlan发布了新的文献求助10
24秒前
ahui完成签到 ,获得积分10
24秒前
24秒前
25秒前
25秒前
搜集达人应助清脆的棒球采纳,获得10
26秒前
烫烫烫完成签到,获得积分10
26秒前
一一发布了新的文献求助10
27秒前
DDDOG发布了新的文献求助10
28秒前
QFJY333222111完成签到,获得积分20
28秒前
28秒前
29秒前
29秒前
29秒前
高分求助中
Technologies supporting mass customization of apparel: A pilot project 600
Разработка метода ускоренного контроля качества электрохромных устройств 500
Chinesen in Europa – Europäer in China: Journalisten, Spione, Studenten 500
Arthur Ewert: A Life for the Comintern 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi // Kurt Werner Radtke 500
Two Years in Peking 1965-1966: Book 1: Living and Teaching in Mao's China // Reginald Hunt 500
Epigenetic Drug Discovery 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 3818442
求助须知:如何正确求助?哪些是违规求助? 3361570
关于积分的说明 10413504
捐赠科研通 3079852
什么是DOI,文献DOI怎么找? 1693246
邀请新用户注册赠送积分活动 814550
科研通“疑难数据库(出版商)”最低求助积分说明 768228