Dual Stealth Functional Immuno-magnetic Nanoparticles for High-Performance Isolation of Circulating Tumor Cells

聚乙二醇 化学 循环肿瘤细胞 PEG比率 纳米颗粒 癌症研究 纳米技术 癌症 生物化学 转移 材料科学 生物 内科学 医学 财务 经济
作者
Xinbang Jiang,Boya Ma,Momo Sun,Guo Chen,Zhuang Liu,Yunzheng Du,Biao Wang,Nan Li,Mengya Chen,Yanjia Zhang,Jie Shen,Lailiang Ou
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:95 (32): 11885-11891 被引量:15
标识
DOI:10.1021/acs.analchem.3c00143
摘要

As a biomarker of hepatocellular carcinoma (HCC) biopsy, circulating tumor cells (CTCs) are often used in the diagnosis of cancer and treatment guidance. For CTCs detection, immuno-magnetic nanoparticles (IMNs) are one of the most commonly used platforms. However, the nonspecific adsorption of proteins and non-tumor cells weakens the performance of IMNs to capture CTCs. In this work, we developed an IMNs platform which was constructed by a biomimetic protein corona precoating and a polyethylene glycol (PEG) spacer to form the PEG and corona-coated IMNs (IP-CMNs). Due to the dual stealth effect of protein corona precoating and PEG spacer, the nonspecific protein adsorption and cell binding of P-CMNs could reduce by ∼5.5- and ∼5.4-fold, respectively, compared with those of unmodified particles. Furthermore, the PEG spacer could not only reduce the interaction between IP-CMNs and leukocytes but also enhance the capture performance toward tumor cells. By using artificial blood samples, the capture efficiency of IP-CMNs toward rare CTCs was found to be 88.3%, while it was 70.5% by using commercial IMNs. Finally, CTCs were successfully isolated in all HCC patient blood samples (7/7) using IP-CMNs. These results provide insight into the use of the multifunctional nanoplatform as a useful tool for CTCs detection.
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
被动科研完成签到,获得积分10
刚刚
追寻茗发布了新的文献求助10
刚刚
尔尔完成签到,获得积分10
刚刚
genius发布了新的文献求助30
1秒前
sjw525完成签到,获得积分10
1秒前
阿呆盘阿瓜应助Jingman采纳,获得20
1秒前
pond完成签到,获得积分10
2秒前
行走的鱼发布了新的文献求助10
2秒前
njy完成签到,获得积分10
2秒前
科研狗应助Jared采纳,获得50
2秒前
NexusExplorer应助老毕登采纳,获得10
2秒前
2秒前
搞怪的语堂完成签到,获得积分10
2秒前
2秒前
hz发布了新的文献求助10
3秒前
迷路锦程发布了新的文献求助10
3秒前
carry完成签到,获得积分10
3秒前
4秒前
Yego发布了新的文献求助10
4秒前
4秒前
所所应助蓝蜗牛采纳,获得10
4秒前
4秒前
发顺丰完成签到,获得积分10
5秒前
Dreamsli完成签到,获得积分10
5秒前
科研通AI6.3应助张发胜采纳,获得10
5秒前
5秒前
5秒前
juanlin2011发布了新的文献求助10
5秒前
zhouxl58完成签到,获得积分20
6秒前
6秒前
斯文败类应助着急的问凝采纳,获得10
6秒前
6秒前
眼睫毛完成签到,获得积分10
7秒前
genius完成签到,获得积分10
8秒前
dl应助哙世浮生采纳,获得20
8秒前
8秒前
爱撒娇的文博完成签到,获得积分10
9秒前
9秒前
科研通AI6.4应助KYSL采纳,获得10
9秒前
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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6499481
求助须知:如何正确求助?哪些是违规求助? 8295019
关于积分的说明 17701435
捐赠科研通 5595907
什么是DOI,文献DOI怎么找? 2918039
邀请新用户注册赠送积分活动 1895121
关于科研通互助平台的介绍 1755856