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多重拉曼探针特征的光谱分析。

Spectral analysis of multiplex Raman probe signatures.

作者信息

Lutz Barry R, Dentinger Claire E, Nguyen Lienchi N, Sun Lei, Zhang Jingwu, Allen April N, Chan Selena, Knudsen Beatrice S

机构信息

Biomedical/Life Sciences, Digital Health Group, Intel Corporation, Santa Clara, California 95054, USA.

出版信息

ACS Nano. 2008 Nov 25;2(11):2306-14. doi: 10.1021/nn800243g.

Abstract

Raman nanoparticle probes are an emerging new class of optical labels for interrogation of physiological and pathological processes in bioassays, cells, and tissues. Although their unique emission signatures are ideal for multiplexing, the full potential of these probes has not been realized because conventional analysis methods are inadequate. We report a novel spectral fitting method that exploits the entire spectral signature to quantitatively extract individual probe signals from multiplex spectra. We evaluate the method in a series of multiplex assays using unconjugated and antibody-conjugated composite organic-inorganic nanoparticles (COINs). Results show sensitive multiplex detection of small signals (<2% of total signal) and similar detection limits in corresponding 4-plex and singlet plate binding assays. In a triplex assay on formalin-fixed human prostate tissue, two antibody-conjugated COINs and a conventional fluorophore are used to image expression of prostate-specific antigen, cytokeratin-18, and DNA. The spectral analysis method effectively removes tissue autofluorescence and other unknown background, allowing accurate and reproducible imaging (area under ROC curve 0.89 +/- 0.03) at subcellular spatial resolution. In all assay systems, the error attributable to spectral analysis constitutes <or=2% of total signal. The spectral fitting method provides (1) quantification of signals from multiplex spectra with overlapping peaks, (2) robust spot-by-spot removal of unknown background, (3) the opportunity to quantitatively assess the analysis error, (4) elimination of operator bias, and (5) simple automation appropriate for high-throughput analysis. The simple implementation and universal applicability of this approach significantly expands the potential of Raman probes for quantitative in vivo and ex vivo multiplex analysis.

摘要

拉曼纳米粒子探针是一类新兴的光学标记物,用于在生物分析、细胞和组织中研究生理和病理过程。尽管它们独特的发射特征非常适合多重分析,但由于传统分析方法存在不足,这些探针的全部潜力尚未得到实现。我们报告了一种新颖的光谱拟合方法,该方法利用整个光谱特征从多重光谱中定量提取单个探针信号。我们使用未共轭和抗体共轭的复合有机-无机纳米粒子(COINs)在一系列多重分析中评估了该方法。结果表明,在相应的四重和单重平板结合分析中,能够灵敏地多重检测小信号(<总信号的2%),并且检测限相似。在对福尔马林固定的人前列腺组织进行的三重分析中,使用两种抗体共轭的COINs和一种传统荧光团对前列腺特异性抗原、细胞角蛋白-18和DNA的表达进行成像。光谱分析方法有效地去除了组织自发荧光和其他未知背景,从而能够在亚细胞空间分辨率下进行准确且可重复的成像(ROC曲线下面积为0.89±0.03)。在所有分析系统中,光谱分析导致的误差占总信号的比例≤2%。光谱拟合方法提供了:(1)对具有重叠峰的多重光谱信号进行定量;(2)逐点稳健地去除未知背景;(3)定量评估分析误差的机会;(4)消除操作者偏差;(5)适用于高通量分析的简单自动化。这种方法的简单实施和普遍适用性显著扩展了拉曼探针在体内和体外定量多重分析中的潜力。

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