Noaksson Karin, Zoric Neven, Zeng Xianmin, Rao Mahendra S, Hyllner Johan, Semb Henrik, Kubista Mikael, Sartipy Peter
Cellartis AB, Arvid Wallgrens Backe 20, 413 46 Göteborg, Sweden.
Stem Cells. 2005 Nov-Dec;23(10):1460-7. doi: 10.1634/stemcells.2005-0093. Epub 2005 Aug 4.
There is a general lack of rapid, sensitive, and quantitative methods for the detection of differentiating human embryonic stem cells (hESCs). Using light microscopy and immunohistochemistry, we observed that morphological changes of differentiating hESCs precede any major alterations in the expression of several commonly used hESC markers (SSEA-3, SSEA-4, TRA-1-60, TRA-1-81, Oct-4, and Nanog). In an attempt to quantify the changes during stochastic differentiation of hESCs, we developed a robust and sensitive multi-marker quantitative real-time polymerase chain reaction (QPCR) method. To maximize the sensitivity of the method, we measured the expression of up- and downregulated genes before and after differentiation of the hESCs. Out of the 12 genes assayed, we found it clearly sufficient to determine the relative differentiation state of the cells by calculating a collective expression index based on the mRNA levels of Oct-4, Nanog, Cripto, and alpha-fetoprotein. We evaluated the method using different hESC lines maintained in either feeder-dependent or feeder-free culture conditions. The QPCR method is very flexible, and by appropriately selecting reporter genes, the method can be designed for various applications. The combination of QPCR with hESC-based technologies opens novel avenues for high-throughput analysis of hESCs in, for example, pharmacological and cytotoxicity screening.
目前普遍缺乏用于检测分化中的人胚胎干细胞(hESCs)的快速、灵敏且定量的方法。通过光学显微镜和免疫组织化学,我们观察到分化中的hESCs的形态变化先于几种常用hESC标志物(SSEA-3、SSEA-4、TRA-1-60、TRA-1-81、Oct-4和Nanog)表达的任何重大改变。为了量化hESCs随机分化过程中的变化,我们开发了一种强大且灵敏的多标志物定量实时聚合酶链反应(QPCR)方法。为了使该方法的灵敏度最大化,我们测量了hESCs分化前后上调和下调基因的表达。在所检测的12个基因中,我们发现通过基于Oct-4、Nanog、Cripto和甲胎蛋白的mRNA水平计算一个综合表达指数,足以明确确定细胞的相对分化状态。我们使用在饲养层依赖或无饲养层培养条件下维持的不同hESC系评估了该方法。QPCR方法非常灵活,通过适当选择报告基因,该方法可设计用于各种应用。QPCR与基于hESC的技术相结合为hESCs的高通量分析开辟了新途径,例如在药理学和细胞毒性筛选中。