Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, Fukuoka 812-8581, Japan.
Methods. 2012 Mar;56(3):383-8. doi: 10.1016/j.ymeth.2012.02.012. Epub 2012 Mar 3.
Until now, various stimuli as well as serial passaging have been known to induce cellular senescence in normal human diploid fibroblasts. However, in many cases, we have encountered difficulty in quantitatively analyzing the cellular senescence phenotypes of senescent cells in a physiological condition. High-content screening (HCS)-based image analysis is becoming an important and powerful research tool. In the present study, an automated and quantitative cellular image-analysis system was employed to quantify the cellular senescence phenotypes induced in normal human diploid fibroblasts, TIG-1 cells, and found to be a powerful tool in the cellular senescence study.
到目前为止，人们已经知道各种刺激以及连续传代会诱导正常人类二倍体成纤维细胞发生细胞衰老。然而，在许多情况下，我们在定量分析生理条件下衰老细胞的细胞衰老表型时遇到了困难。基于高通量筛选（HCS）的图像分析正成为一种重要且强大的研究工具。在本研究中，我们采用了一种自动化和定量的细胞图像分析系统来量化正常人类二倍体成纤维细胞、TIG-1 细胞中诱导的细胞衰老表型，发现这是细胞衰老研究中的有力工具。
