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胶原蛋白凝胶视觉趋化性分析中化学梯度的表征

Characterization of chemical gradients in the collagen gel-visual chemotactic assay.

作者信息

Haddox J L, Knowles I W, Sommers C I, Pfister R R

机构信息

Eye Research Laboratories, Birmingham, AL 35209.

出版信息

J Immunol Methods. 1994 May 2;171(1):1-14. doi: 10.1016/0022-1759(94)90222-4.

Abstract

Chemical gradients developing in a collagen gel-visual chemotactic assay (CG-VCA) for PMNs were evaluated by theoretical and experimental methods. First, a video image analysis system was used to establish the diffusion coefficients of bromophenol blue (BPB) through the membrane (D1) and across the collagen gel (D2) in a capillary tube apparatus used only for this purpose. The diffusion coefficients of BPB and the geometry of the CG-VCA system were then used to develop a mathematical model, estimating theoretical gradients in the CG-VCA system. In addition, gradients in the CG-VCA system were characterized experimentally by employing BPB as the source and determining the concentration profiles of BPB in the chemotactic compartment by video image analysis. A relative error of approximately 21% exists between the theoretical and experimental gradients for both 0.5 and 1.0 mM source concentrations of BPB. This favorable comparison demonstrates reliability in predicting chemical gradients for the CG-VCA system. The mathematical model was then used to predict gradients using nanomolar and micromolar concentrations of low molecular weight chemoattractants. Analysis of these specific gradients showed that gradients were steep enough to be detected by PMNs in the collagen gel during the observation period used in previous experiments. The determination of BPB gradients in the CG-VCA system illustrates the utility of this system.

摘要

通过理论和实验方法评估了在用于多形核白细胞(PMN)的胶原凝胶可视化趋化分析(CG-VCA)中形成的化学梯度。首先,使用视频图像分析系统在仅用于此目的的毛细管装置中确定溴酚蓝(BPB)通过膜(D1)和穿过胶原凝胶(D2)的扩散系数。然后,利用BPB的扩散系数和CG-VCA系统的几何结构建立数学模型,估算CG-VCA系统中的理论梯度。此外,通过以BPB作为源,并通过视频图像分析确定趋化隔室中BPB的浓度分布,对CG-VCA系统中的梯度进行实验表征。对于0.5 mM和1.0 mM的BPB源浓度,理论梯度与实验梯度之间存在约21%的相对误差。这种良好的比较表明了预测CG-VCA系统化学梯度的可靠性。然后使用该数学模型预测使用纳摩尔和微摩尔浓度的低分子量趋化剂时的梯度。对这些特定梯度的分析表明,在先前实验所用的观察期内,梯度足够陡峭,能够被胶原凝胶中的PMN检测到。CG-VCA系统中BPB梯度的测定说明了该系统的实用性。

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