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Adhesion kinetics of human primary monocytes, dendritic cells, and macrophages: Dynamic cell adhesion measurements with a label-free optical biosensor and their comparison with end-point assays

机译:人原代单核细胞,树突状细胞和巨噬细胞的粘附动力学:使用无标记光学生物传感器进行动态细胞粘附测量及其与终点测定法的比较

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摘要

Monocytes, dendritic cells (DCs), and macrophages (MFs) are closely related immune cells that differ in their main functions. These specific functions are, to a considerable degree, determined by the differences in the adhesion behavior of the cells. To study the inherently and essentially dynamic aspects of the adhesion of monocytes, DCs, and MFs, dynamic cell adhesion assays were performed with a high-throughput label-free optical biosensor [Epic BenchTop (BT)] on surfaces coated with either fibrinogen (Fgn) or the biomimetic copolymer PLL-g-PEG-RGD. Cell adhesion profiles typically reached their maximum at ∼60 min after cell seeding, which was followed by a monotonic signal decrease, indicating gradually weakening cell adhesion. According to the biosensor response, cell types could be ordered by increasing adherence as monocytes, MFs, and DCs. Notably, all three cell types induced a larger biosensor signal on Fgn than on PLL-g-PEG-RGD. To interpret this result, the molecular layers were characterized by further exploiting the potentials of the biosensor: by measuring the adsorption signal induced during the surface coating procedure, the authors could estimate the surface density of adsorbed molecules and, thus, the number of binding sites potentially presented for the adhesion receptors. Surfaces coated with PLL-g-PEG-RGD presented less RGD sites, but was less efficient in promoting cell spreading than those coated with Fgn; hence, other binding sites in Fgn played a more decisive role in determining cell adherence. To support the cell adhesion data obtained with the biosensor, cell adherence on Fgn-coated surfaces 30–60 min after cell seeding was measured with three complementary techniques, i.e., with (1) a fluorescence-based classical adherence assay, (2) a shear flow chamber applying hydrodynamic shear stress to wash cells away, and (3) an automated micropipette using vacuum-generated fluid flow to lift cells up. These techniques confirmed the results obtained with the high-temporal-resolution Epic BT, but could only provide end-point data. In contrast, complex, nonmonotonic cell adhesion kinetics measured by the high-throughput optical biosensor is expected to open a window on the hidden background of the immune cell–extracellular matrix interactions.
机译:单核细胞,树突状细胞(DC)和巨噬细胞(MF)是密切相关的免疫细胞,它们的主要功能有所不同。这些特定功能在很大程度上取决于细胞粘附行为的差异。为了研究单核细胞,DC和MF粘附的固有和本质上的动态方面,使用高通量无标记光学生物传感器[Epic BenchTop(BT)]在涂有纤维蛋白原(Fgn)的表面上进行动态细胞粘附测定)或仿生共聚物PLL-g-PEG-RGD。细胞黏附曲线通常在细胞接种后约60分钟后达到最大值,随后单调信号下降,表明细胞黏附逐渐减弱。根据生物传感器的反应,可以通过增加单核细胞,MF和DC的依从性来排序细胞类型。值得注意的是,与PLL-g-PEG-RGD相比,所有三种细胞类型在Fgn上诱导的生物传感器信号均更大。为了解释这一结果,通过进一步利用生物传感器的潜力来表征分子层:通过测量在表面涂覆过程中诱导的吸附信号,作者可以估计吸附分子的表面密度,从而估计结合位点的数量。潜在的粘附受体。涂有PLL-g-PEG-RGD的表面呈现出较少的RGD位点,但促进细胞扩散的效率低于涂有Fgn的表面。因此,Fgn中的其他结合位点在决定细胞粘附方面起着决定性的作用。为了支持使用生物传感器获得的细胞粘附数据,通过三种互补技术,即,(1)基于荧光的经典粘附测定,(2)a,测量了细胞接种后30-60分钟内Fgn涂层表面的细胞粘附情况。剪切流动室施加流体动力剪切应力以洗去细胞,(3)使用真空产生的流体流将细胞升起的自动微量移液器。这些技术证实了使用高时间分辨率的Epic BT所获得的结果,但只能提供终点数据。相反,由高通量光学生物传感器测量的复杂,非单调的细胞粘附动力学有望为免疫细胞与细胞外基质相互作用的隐藏背景打开一个窗口。

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