Quantitative analysis of cellular senescence phenotypes using an imaging cytometer

Miyako Udono; Keishi Kadooka; Shuntaro Yamashita; Yoshinori Katakura

doi:10.1016/j.ymeth.2012.02.012

Quantitative analysis of cellular senescence phenotypes using an imaging cytometer

Miyako Udono
, Keishi Kadooka
, Shuntaro Yamashita
, Yoshinori Katakura

Systems Biology

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	383-388
Number of pages	6
Journal	Methods
Volume	56
Issue number	3
DOIs	https://doi.org/10.1016/j.ymeth.2012.02.012
Publication status	Published - Mar 2012

All Science Journal Classification (ASJC) codes

Molecular Biology
General Biochemistry,Genetics and Molecular Biology

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10.1016/j.ymeth.2012.02.012

Cite this

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title = "Quantitative analysis of cellular senescence phenotypes using an imaging cytometer",

abstract = "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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note = "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.",

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AU - Udono, Miyako

AU - Kadooka, Keishi

AU - Yamashita, Shuntaro

AU - Katakura, Yoshinori

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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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Quantitative analysis of cellular senescence phenotypes using an imaging cytometer

Abstract

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