TY - JOUR
T1 - Quantitative analysis of cellular senescence phenotypes using an imaging cytometer
AU - Udono, Miyako
AU - Kadooka, Keishi
AU - Yamashita, Shuntaro
AU - Katakura, Yoshinori
N1 - Funding Information:
This work was supported in part by JSPS KAKENHI ( 09J02698 ) (Grant-in-Aid for JSPS Fellows). We would like to thank Dr. Kiichiro Teruya for his technical advices, and Noriko Ohshima (GE Healthcare Bioscience) for her expert assistance with the IN Cell Analyzer 1000.
PY - 2012/3
Y1 - 2012/3
N2 - 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.
AB - 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.
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U2 - 10.1016/j.ymeth.2012.02.012
DO - 10.1016/j.ymeth.2012.02.012
M3 - Article
C2 - 22406489
AN - SCOPUS:84860465519
SN - 1046-2023
VL - 56
SP - 383
EP - 388
JO - ImmunoMethods
JF - ImmunoMethods
IS - 3
ER -