• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用表面增强拉曼散射鉴别乳腺癌细胞。

Distinguishing breast cancer cells using surface-enhanced Raman scattering.

机构信息

Advanced Photonics Center, Southeast University, Nanjing 210096, China.

出版信息

Anal Bioanal Chem. 2012 Jan;402(3):1093-100. doi: 10.1007/s00216-011-5577-z. Epub 2011 Nov 29.

DOI:10.1007/s00216-011-5577-z
PMID:22124755
Abstract

The detection and identification of epidermal growth factor receptor 2 (HER2)-positive breast cancer cells is crucial for the clinic therapy of breast cancer. For the aim of the detection, a novel surface-enhanced Raman scattering (SERS) probe for distinguishing breast cancers at different HER2 statuses is reported in this paper. In such a probe, anti-HER2 antibody-conjugated silver nanoparticles have been synthesized for specific targeting of HER2-positive breast cancer cells. More importantly, different from the previously reported SERS probe for targeting cancer cells, p-mercaptobenzoic acid is utilized as both the Raman reporter and the conjugation agent for attaching antibody molecules, which leads to a much simplified structure. For investigating the ability of such a probe to distinguish breast cancer cells, SKBR3 and MCF7 cells were chosen as two model systems, which are HER2-positive- and HER2-negative-expressing cells, respectively. The experimental results reveal that SKBR3 cells exhibit much stronger SERS signals than MCF7 cells, indicating that the probe could be utilized to distinguish breast cancer cells at different HER2 statuses. This kind of SERS probe holds a potential for a direct detection of living breast cancer cells with the advantages of easy fabrication, high SERS sensitivity, and biocompatibility.

摘要

表皮生长因子受体 2(HER2)阳性乳腺癌细胞的检测和鉴定对于乳腺癌的临床治疗至关重要。为了实现这一检测目的,本文报道了一种用于区分不同 HER2 状态乳腺癌的新型表面增强拉曼散射(SERS)探针。在该探针中,合成了抗 HER2 抗体偶联的银纳米颗粒,用于特异性靶向 HER2 阳性乳腺癌细胞。更重要的是,与之前报道的用于靶向癌细胞的 SERS 探针不同,本文中使用了对巯基苯甲酸作为拉曼报告分子和连接剂来连接抗体分子,从而大大简化了结构。为了研究该探针区分乳腺癌细胞的能力,选择了 SKBR3 和 MCF7 细胞作为两种模型系统,它们分别是 HER2 阳性和 HER2 阴性表达细胞。实验结果表明,SKBR3 细胞表现出比 MCF7 细胞更强的 SERS 信号,表明该探针可用于区分不同 HER2 状态的乳腺癌细胞。这种 SERS 探针具有直接检测活乳腺癌细胞的潜力,具有易于制备、高 SERS 灵敏度和生物相容性等优点。

相似文献

1
Distinguishing breast cancer cells using surface-enhanced Raman scattering.利用表面增强拉曼散射鉴别乳腺癌细胞。
Anal Bioanal Chem. 2012 Jan;402(3):1093-100. doi: 10.1007/s00216-011-5577-z. Epub 2011 Nov 29.
2
Rapid and sensitive phenotypic marker detection on breast cancer cells using surface-enhanced Raman scattering (SERS) imaging.利用表面增强拉曼散射(SERS)成像快速灵敏地检测乳腺癌细胞的表型标志物。
Biosens Bioelectron. 2014 Jan 15;51:238-43. doi: 10.1016/j.bios.2013.07.063. Epub 2013 Aug 6.
3
Anti-epidermal growth factor receptor (anti-EGFR) antibody conjugated fluorescent nanoparticles probe for breast cancer imaging.用于乳腺癌成像的抗表皮生长因子受体(抗EGFR)抗体偶联荧光纳米颗粒探针
Spectrochim Acta A Mol Biomol Spectrosc. 2009 Oct 1;74(2):410-4. doi: 10.1016/j.saa.2009.06.033. Epub 2009 Jun 18.
4
A straightforward route to the synthesis of a surface-enhanced Raman scattering probe for targeting transferrin receptor-overexpressed cells.一种用于靶向转铁蛋白受体过表达细胞的表面增强拉曼散射探针的直接合成途径。
Nanotechnology. 2010 Aug 27;21(34):345101. doi: 10.1088/0957-4484/21/34/345101. Epub 2010 Aug 4.
5
Surface-enhanced Raman scattering imaging of HER2 cancer markers overexpressed in single MCF7 cells using antibody conjugated hollow gold nanospheres.使用抗体偶联的中空金纳米球对单个MCF7细胞中过表达的HER2癌症标志物进行表面增强拉曼散射成像。
Biosens Bioelectron. 2009 Mar 15;24(7):2260-3. doi: 10.1016/j.bios.2008.10.018. Epub 2008 Nov 5.
6
A SERS-based immunoassay with highly increased sensitivity using gold/silver core-shell nanorods.基于金/银核壳纳米棒的高灵敏度表面增强拉曼散射免疫分析。
Biosens Bioelectron. 2012 Oct-Dec;38(1):94-9. doi: 10.1016/j.bios.2012.05.005. Epub 2012 May 16.
7
Multifunctional silver-embedded magnetic nanoparticles as SERS nanoprobes and their applications.多功能银嵌入磁性纳米粒子作为 SERS 纳米探针及其应用。
Small. 2010 Jan;6(1):119-25. doi: 10.1002/smll.200901459.
8
New insight of squaraine-based biocompatible surface-enhanced Raman scattering nanotag for cancer-cell imaging.基于 squaraine 的生物相容性表面增强拉曼散射纳米标签在癌细胞成像中的新见解。
Nanomedicine (Lond). 2015 Mar;10(4):561-71. doi: 10.2217/nnm.14.125.
9
An investigation of the surface-enhanced Raman scattering (SERS) effect from a new substrate of silver-modified silver electrode.对银修饰银电极新基底的表面增强拉曼散射(SERS)效应的研究。
J Colloid Interface Sci. 2005 Dec 15;292(2):469-75. doi: 10.1016/j.jcis.2005.05.091. Epub 2005 Jul 26.
10
Loading of exponentially grown LBL films with silver nanoparticles and their application to generalized SERS detection.用银纳米颗粒加载指数生长的LBL薄膜及其在广义表面增强拉曼散射检测中的应用。
Angew Chem Int Ed Engl. 2009;48(29):5326-9. doi: 10.1002/anie.200901807.

引用本文的文献

1
Combined SERS-Raman screening of HER2-overexpressing or silenced breast cancer cell lines.联合 SERS-Raman 筛选过表达或沉默 HER2 的乳腺癌细胞系。
J Nanobiotechnology. 2024 Jun 20;22(1):350. doi: 10.1186/s12951-024-02600-7.
2
SERS in 3D cell models: a powerful tool in cancer research.三维细胞模型中的 SERS:癌症研究的有力工具。
Chem Soc Rev. 2024 May 20;53(10):5118-5148. doi: 10.1039/d3cs01049j.
3
Recent Trends in SERS-Based Plasmonic Sensors for Disease Diagnostics, Biomolecules Detection, and Machine Learning Techniques.
基于 SERS 的等离子体激元传感器在疾病诊断、生物分子检测及机器学习技术方面的最新研究进展。
Biosensors (Basel). 2023 Feb 27;13(3):328. doi: 10.3390/bios13030328.
4
HER-2-Targeted Nanoparticles for Breast Cancer Diagnosis and Treatment.用于乳腺癌诊断与治疗的HER-2靶向纳米颗粒
Cancers (Basel). 2022 May 13;14(10):2424. doi: 10.3390/cancers14102424.
5
SALDI-MS and SERS Multimodal Imaging: One Nanostructured Substrate to Rule Them Both.SALDI-MS 和 SERS 多模态成像:一个纳米结构基底统御两者。
Anal Chem. 2022 Feb 15;94(6):2785-2793. doi: 10.1021/acs.analchem.1c04118. Epub 2022 Feb 1.
6
Space curvature-inspired nanoplasmonic sensor for breast cancer extracellular vesicle fingerprinting and machine learning classification.受空间曲率启发的用于乳腺癌细胞外囊泡指纹识别及机器学习分类的纳米等离子体传感器。
Biomed Opt Express. 2021 Jun 9;12(7):3965-3981. doi: 10.1364/BOE.428302. eCollection 2021 Jul 1.
7
Surface-Enhanced Raman Spectroscopy Characterization of Breast Cell Phenotypes: Effect of Nanoparticle Geometry.乳腺细胞表型的表面增强拉曼光谱表征:纳米颗粒几何形状的影响
ACS Appl Nano Mater. 2019 Nov 22;2(11):6960-6970. doi: 10.1021/acsanm.9b01436. Epub 2019 Oct 20.
8
Investigation of cellular uptake mechanism of functionalised gold nanoparticles into breast cancer using SERS.利用表面增强拉曼光谱研究功能化金纳米颗粒进入乳腺癌细胞的摄取机制。
Chem Sci. 2020 May 27;11(22):5819-5829. doi: 10.1039/d0sc01255f.
9
Multifunctional Gold Nanoparticles: A Novel Nanomaterial for Various Medical Applications and Biological Activities.多功能金纳米粒子:一种用于各种医学应用和生物活性的新型纳米材料。
Front Bioeng Biotechnol. 2020 Aug 13;8:990. doi: 10.3389/fbioe.2020.00990. eCollection 2020.
10
Effects of silver nanoparticles coated with anti-HER2 on irradiation efficiency of SKBR3 breast cancer cells.载有抗 HER2 的银纳米粒子对 SKBR3 乳腺癌细胞辐射效率的影响。
IET Nanobiotechnol. 2019 Oct;13(8):808-815. doi: 10.1049/iet-nbt.2018.5258.