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Optical waveguide-based biosensor for label-freeudmonitoring of living cells

机译:基于光波导的生物传感器,无标签 ud监测活细胞

摘要

Here, we briefly discuss the past, present, and possible future of label-free opticaludbiosensors in cell research, especially focusing on the kinetic monitoring of cellularudadhesion. Currently available optical biosensors possess outstanding potentials stilludnot rightfully recognized and still waiting to be fully exploited in the field of celludscience. Thus, during the description we give special emphasis to the advantagesudthat the state-of-the-art optical cell-based biosensors possess as compared toudmicroscope- or force measurement-based techniques widely used to characterizeudcell adhesion. To name here only a few, they enable label-free detection close to audplanar sensor surface, have high sensitivity, and generate superior quality kineticuddata. Such information-rich kinetic data, in turn, can be analyzed in-depth andudcomparatively. To exemplify the importance of in-depth kinetic analysis, weudreview a recent study, in which the Epic BenchTop high-throughput optical biosensorudwas used to measure the dependence of cancer cell adhesion kinetics on theudsurface density of integrin ligands. Based on the kinetic data, a model enabling theudlabel-free determination of the dissociation constant of the adhesion ligands boundudto their native cell membrane receptors has been constructed. As an outlook, theudperspectives of the technology is briefly discussed.
机译:在这里,我们简要讨论了无标记光学生物传感器在细胞研究中的过去,现在和可能的未来,特别是着眼于细胞黏附的动力学监测。当前可用的光学生物传感器具有尚未被正确认识并仍在细胞科学领域中被充分利用的巨大潜力。因此,在描述中,我们特别强调了与基于光学显微镜或基于力测量的技术广泛用于表征细胞粘附的技术相比,基于光学细胞的最新生物传感器所具有的优势。仅举几例,它们可以在接近 udplanar传感器表面的情况下进行无标签检测,具有高灵敏度,并可以产生高质量的动力学 uddata。反过来,这种信息丰富的动力学数据可以进行深入和比较地分析。为了说明深入动力学分析的重要性,我们回顾了最近的一项研究,其中使用Epic BenchTop高通量光学生物传感器来测量癌细胞粘附动力学对整联蛋白配体表面密度的依赖性。基于动力学数据,构建了一个模型,该模型能够无标签的测定与其天然细胞膜受体结合的粘附配体的解离常数。展望未来,将简要讨论该技术的前景。

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