Zehentmeier Sandra, Cseresnyes Zoltan, Escribano Navarro Juan, Niesner Raluca A, Hauser Anja E
Immunodynamics, German Rheumatism Research Center, a Leibniz Institute.
Biophysical Analytics, German Rheumatism Research Center, a Leibniz Institute; Max-Delbrück Center for Molecular Medicine.
J Vis Exp. 2015 Apr 8(98):52544. doi: 10.3791/52544.
Confocal microscopy is the method of choice for the analysis of localization of multiple cell types within complex tissues such as the bone marrow. However, the analysis and quantification of cellular localization is difficult, as in many cases it relies on manual counting, thus bearing the risk of introducing a rater-dependent bias and reducing interrater reliability. Moreover, it is often difficult to judge whether the co-localization between two cells results from random positioning, especially when cell types differ strongly in the frequency of their occurrence. Here, a method for unbiased quantification of cellular co-localization in the bone marrow is introduced. The protocol describes the sample preparation used to obtain histological sections of whole murine long bones including the bone marrow, as well as the staining protocol and the acquisition of high-resolution images. An analysis workflow spanning from the recognition of hematopoietic and non-hematopoietic cell types in 2-dimensional (2D) bone marrow images to the quantification of the direct contacts between those cells is presented. This also includes a neighborhood analysis, to obtain information about the cellular microenvironment surrounding a certain cell type. In order to evaluate whether co-localization of two cell types is the mere result of random cell positioning or reflects preferential associations between the cells, a simulation tool which is suitable for testing this hypothesis in the case of hematopoietic as well as stromal cells, is used. This approach is not limited to the bone marrow, and can be extended to other tissues to permit reproducible, quantitative analysis of histological data.
共聚焦显微镜检查是分析复杂组织(如骨髓)中多种细胞类型定位的首选方法。然而,细胞定位的分析和定量很困难,因为在许多情况下它依赖于人工计数,因此存在引入评分者依赖性偏差并降低评分者间可靠性的风险。此外,通常很难判断两个细胞之间的共定位是由随机定位导致的,特别是当细胞类型在其出现频率上有很大差异时。在此,介绍一种用于骨髓中细胞共定位无偏定量的方法。该方案描述了用于获取包括骨髓在内的整个小鼠长骨组织切片的样本制备方法,以及染色方案和高分辨率图像的采集。本文呈现了一个分析工作流程,涵盖从二维(2D)骨髓图像中识别造血和非造血细胞类型到量化这些细胞之间直接接触的过程。这还包括邻域分析,以获取有关特定细胞类型周围细胞微环境的信息。为了评估两种细胞类型的共定位是仅仅由于细胞随机定位还是反映了细胞之间的优先关联,使用了一种模拟工具,该工具适用于在造血细胞和基质细胞的情况下检验这一假设。这种方法不仅限于骨髓,还可以扩展到其他组织,以实现对组织学数据的可重复、定量分析。