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Application of Tissue Microarray Technology to Stem Cell Research

机译:组织芯片技术在干细胞研究中的应用

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There is virtually an unlimited number of possible Tissue Microarray (TMA) applications in basic and clinical research and ultimately in diagnostics. However, to assess the functional importance of novel markers, researchers very often turn to cell line model systems. The appropriate choice of a cell line is often a difficult task, but the use of cell microarray (CMA) technology enables a quick screening of several markers in cells of different origins, mimicking a genomic-scale analysis. In order to improve the morphological evaluations of the CMA slides we harvested the cells by conventional trypsinization, mechanical scraping and cells grown on coverslips. We show that mechanical scraping is a good evaluation method since keeps the real morphology very similar to those grown on coverslips. Immunofluorescence images are of higher quality, facilitating the reading of the biomarker cellular and subcellular localization. Here, we describe CMA technology in stem cell research.
机译:在基础和临床研究以及最终在诊断学中,实际上存在着无限数量的可能的组织微阵列(TMA)应用。但是,为了评估新型标记的功能重要性,研究人员经常转向细胞系模型系统。正确选择细胞系通常是一项艰巨的任务,但是使用细胞微阵列(CMA)技术可以快速筛选不同来源的细胞中的几种标记,从而模仿了基因组规模的分析。为了改善CMA玻片的形态学评估,我们通过常规胰蛋白酶消化,机械刮擦和在盖玻片上生长的细胞来收获细胞。我们展示了机械刮擦是一种很好的评估方法,因为它使真实形态与盖玻片上的形态非常相似。免疫荧光图像具有更高的质量,有助于读取生物标志物细胞和亚细胞的定位。在这里,我们描述了干细胞研究中的CMA技术。

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