INSERM, U823, Grenoble, F-38042, France.
Biosens Bioelectron. 2011 Jun 15;26(10):4162-8. doi: 10.1016/j.bios.2011.04.016. Epub 2011 Apr 15.
Microarrays are promising tools for cell isolation and detection. However, they have yet to be widely applied in biology. This stems from a lack of demonstration of their sensitivity and compatibility with complex biological samples, and a lack of proof that their use does not induce aberrant cellular effects. Herein, we characterized and optimized a recently developed technology associating antibody microarrays with surface plasmon resonance imaging (SPRi). Using a murine macrophage cell line we demonstrate the binding specificity of our antibody-microarrays and the correlation between SPRi signals and both the number of bound cells, and the level of expression of cell surface markers. Confocal microscopy reveals that cell binding to the chip through antibody-antigen interactions underwent morphological changes reflecting the density of the relevant cell surface marker without affecting cell viability as shown by fluorescent microscopy. The detection threshold of the microarray-SPRi system is lowered 10-fold by applying a polyethylene oxide film to the gold surface of the chip. This increased sensitivity allows the detection of cells representing as little as 0.5% of a mixed population. The potential of this method is illustrated by two applications: characterization of ligand-cell receptor interactions, allowing determination of receptor specificity, and analysis of peripheral blood mononuclear cells, demonstrating the suitability of this tool for the analysis of complex biological samples.
微阵列是细胞分离和检测的有前途的工具。然而,它们尚未在生物学中得到广泛应用。这源于缺乏对其灵敏度和与复杂生物样品兼容性的证明,以及缺乏使用不会引起异常细胞效应的证据。在此,我们对最近开发的将抗体微阵列与表面等离子体共振成像(SPRi)结合的技术进行了表征和优化。使用鼠巨噬细胞系,我们证明了我们的抗体微阵列的结合特异性,以及 SPRi 信号与结合细胞数量和细胞表面标志物表达水平之间的相关性。共聚焦显微镜显示,细胞通过抗体-抗原相互作用与芯片结合会发生形态变化,反映出相关细胞表面标志物的密度,而荧光显微镜显示这不会影响细胞活力。通过在芯片的金表面施加聚氧化乙烯膜,将微阵列-SPRi 系统的检测灵敏度提高了 10 倍。这种提高的灵敏度允许检测代表混合群体的少至 0.5%的细胞。该方法的潜力通过两个应用实例得到了说明:配体-细胞受体相互作用的表征,允许确定受体特异性,以及外周血单核细胞的分析,证明了该工具适用于复杂生物样品的分析。