Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Cell Biol Int. 2018 Sep;42(9):1265-1269. doi: 10.1002/cbin.10992. Epub 2018 Jun 15.
The transforming growth factor (TGF)-β signaling pathway plays a key role in various cellular processes. However, insufficient knowledge about the complex and sometimes paradoxical functions of this pathway hinders its therapeutic targeting. In this study, the transcriptional profile of seven mediators and downstream elements of the TGF-β pathway were assessed in TGF-β treated and untreated human kidney derived cells for 2 weeks in a time course manner. As expected the up-regulation of ACTA2 and COL1A2 was evident in the treated cells. However, we observed remarkable fluctuations in gene expression, even in the supposedly steady states. The magnitude of noise was diverse in the examined genes. Our findings underscore the significance of time-course designs for gene expression analyses and clearly show that misleading data can be obtained in single point measurements. Furthermore, we propose specific considerations in the interpretation of time-course data in the context of noisy gene expression.
转化生长因子 (TGF)-β 信号通路在各种细胞过程中发挥着关键作用。然而，由于对该通路的复杂且有时相互矛盾的功能缺乏足够的了解，限制了其治疗靶点的确定。在这项研究中，我们在两周的时间内，以时间进程的方式，评估了 TGF-β 处理和未处理的人肾源细胞中 TGF-β 通路的七种介质和下游元件的转录谱。不出所料，处理过的细胞中 ACTA2 和 COL1A2 的表达明显上调。然而，我们观察到基因表达存在显著波动，即使在所谓的稳定状态下也是如此。在被检测的基因中，噪声的幅度是多样化的。我们的研究结果强调了时间进程设计在基因表达分析中的重要性，并清楚地表明，在单点测量中可能会得到误导性的数据。此外，我们在噪声基因表达的背景下，对时间进程数据的解释提出了具体的考虑因素。
