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首页> 外文期刊>Journal of Microscopy >Relative labelling index a novel stereological approach to test for non-random immunogold labelling of organelles and membranes on transmission electron microscopy thin sections
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Relative labelling index a novel stereological approach to test for non-random immunogold labelling of organelles and membranes on transmission electron microscopy thin sections

机译:相对标记指数是一种新型的立体方法,可用于在透射电子显微镜薄切片上测试细胞器和膜的非随机免疫金标记

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Simple and efficient protocols for quantifying immunogold labelling of antigens localized in different cellular compartments (organelles or membranes) and statistically evaluating resulting labelling distributions are presented. Two key questions are addressed: (a) is compartmental labelling within an experimental group (e.g. control or treated) consistent with a random distribution? and (b) do labelling patterns vary between groups (e.g. control vs. treated)? Protocols rely on random sampling of cells and compartments. Numbers of gold particles lying on specified organelle compartments provide an observed frequency distribution. By superimposing test-point lattices on cell profiles, design-based stereology is used to determine numbers of points lying on those same compartments. Random points hit compartments with probabilities determined by their relative sizes and so provide a convenient internal standard, namely, the expected distribution if labelling is purely random. By applying test-line lattices, and counting sites at which these intersect membrane traces, analogous procedures provide observed and expected labelling distributions for different classes of membranes. Dividing observed golds by expected golds provides a relative labelling index (RLI) for each compartment and, for random labelling, the predicted RLI = 1. In contrast to labelling densities of organelles (golds mum(-2)) or membranes (golds mum(-1)), RLI values are estimated without needing to know lattice constants (area per point or length per intersection) or specimen magnification. Gold distributions within a group are compared by chi-squared analysis to test if the observed distribution differs significantly from random and, if it is non-random, to identify compartments which are preferentially labelled (RLI > 1). Contingency table analysis allows labelling distributions in different groups of cells to be compared. Protocols are described and illustrated using worked specimen examples and real data. [References: 42]
机译:提出了简单有效的方案,用于量化位于不同细胞区室(细胞器或膜)中的抗原的免疫金标记,并统计评估所得的标记分布。解决了两个关键问题:(a)实验组(例如对照或治疗组)内的区室标记是否与随机分布一致? (b)组间的标记方式是否有所不同(例如,对照与治疗)?协议依赖于细胞和隔室的随机采样。放置在特定细胞器隔室上的金颗粒数量提供了观察到的频率分布。通过在细胞轮廓上叠加测试点晶格,基于设计的立体感可用于确定位于相同隔室上的点数。随机点以由其相对大小确定的概率命中隔室,因此提供了方便的内部标准,即,如果标记纯粹是随机的,则是预期的分布。通过应用测试线晶格,并计数这些与膜痕迹相交的位置,类似的程序可以为不同类型的膜提供观察到的和预期的标记分布。将观察到的金除以期望的金可为每个隔室提供相对标记指数(RLI),对于随机标记,可提供预测的RLI =1。与细胞器(gum mum(-2))或膜(gold mum( -1)),无需知道晶格常数(每个点的面积或每个交叉点的长度)或样品放大倍数就可以估算RLI值。通过卡方分析比较组中的金分布,以测试观察到的分布与随机分布是否有显着差异;如果不是随机分布,则可以识别优先标记的区域(RLI> 1)。列联表分析允许比较不同组细胞中的标记分布。使用工作样本示例和真实数据来描述和说明协议。 [参考:42]

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