Suppr超能文献

用于早期癌症检测的蛋白质微阵列和量子点探针。

Protein microarrays and quantum dot probes for early cancer detection.

作者信息

Zajac Aleksandra, Song Dansheng, Qian Wei, Zhukov Tatyana

机构信息

Division of Cancer Prevention and Control, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, 12902 Magnolia Drive, Tampa, FL 33612, USA.

出版信息

Colloids Surf B Biointerfaces. 2007 Aug 1;58(2):309-14. doi: 10.1016/j.colsurfb.2007.02.019. Epub 2007 Mar 2.

Abstract

We describe here a novel approach for detection of cancer markers using quantum dot protein microarrays. Both relatively new technologies; quantum dots and protein microarrays, offer very unique features that together allow detection of cancer markers in biological specimens (serum, plasma, body fluids) at pg/ml concentration. Quantum dots offer remarkable photostability and brightness. They do not exhibit photobleaching common to organic fluorophores. Moreover, the high emission amplitude for QDs results in a marked improvement in the signal to noise ratio of the final image. Protein microarrays allow highly parallel quantitation of specific proteins in a rapid, low-cost and low sample volume format. Furthermore the multiplexed assay enables detection of many proteins at once in one sample, making it a powerful tool for biomarker analysis and early cancer diagnostics. In a series of multiplexing experiments we investigated ability of the platform to detect six different cytokines in protein solution. We were able to detect TNF-alpha, IL-8, IL-6, MIP-1beta, IL-13 and IL-1beta down to picomolar concentration, demonstrating high sensitivity of the investigated detection system. We have also constructed and investigated two different models of quantum dot probes. One by conjugation of nanocrystals to antibody specific to the selected marker--IL-10, and the second by use of streptavidin coated quantum dots and biotinylated detector antibody. Comparison of those two models showed better performance of streptavidin QD-biotinylated detector antibody model. Data quantitated using custom designed computer program (CDAS) show that proposed methodology allows monitoring of changes in biomarker concentration in physiological range.

摘要

我们在此描述一种使用量子点蛋白质微阵列检测癌症标志物的新方法。量子点和蛋白质微阵列这两种相对较新的技术都具有非常独特的特性,它们共同使得能够在生物标本(血清、血浆、体液)中以皮克/毫升的浓度检测癌症标志物。量子点具有出色的光稳定性和亮度。它们不会出现有机荧光团常见的光漂白现象。此外,量子点的高发射幅度显著提高了最终图像的信噪比。蛋白质微阵列能够以快速、低成本和低样本量的形式对特定蛋白质进行高度并行定量。此外,多重检测能够在一个样本中同时检测多种蛋白质,使其成为生物标志物分析和早期癌症诊断的强大工具。在一系列多重检测实验中,我们研究了该平台检测蛋白质溶液中六种不同细胞因子的能力。我们能够检测到低至皮摩尔浓度的肿瘤坏死因子-α、白细胞介素-8、白细胞介素-6、巨噬细胞炎性蛋白-1β、白细胞介素-13和白细胞介素-1β,证明了所研究的检测系统具有高灵敏度。我们还构建并研究了两种不同的量子点探针模型。一种是将纳米晶体与针对所选标志物白细胞介素-10的特异性抗体偶联,另一种是使用链霉亲和素包被的量子点和生物素化的检测抗体。这两种模型的比较表明,链霉亲和素量子点-生物素化检测抗体模型表现更好。使用定制设计的计算机程序(CDAS)进行数据定量分析表明,所提出的方法能够监测生理范围内生物标志物浓度的变化。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验