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Simultaneous Imaging and Flow-Cytometry-based Detection of Multiple Fluorescent Senescence Markers in Therapy-Induced Senescent Cancer Cells
Published on: July 12, 2022
Quantitative analysis of cellular senescence phenotypes using an imaging cytometer.
Miyako Udono1, Keishi Kadooka, Shuntaro Yamashita
1Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, Fukuoka 812-8581, Japan.
Methods (San Diego, Calif.)
|March 13, 2012
Summary
Researchers developed an automated image analysis system to quantitatively measure cellular senescence phenotypes in human cells. This method overcomes previous difficulties in physiological analysis, proving effective for studying cellular senescence.
Area of Science:
- Cell Biology
- Gerontology
Background:
- Cellular senescence can be induced by various stimuli and serial passaging in normal human diploid fibroblasts.
- Quantitative analysis of senescent cell phenotypes under physiological conditions has been challenging.
- High-content screening (HCS)-based image analysis is an emerging powerful tool in biological research.
Purpose of the Study:
- To develop and validate an automated, quantitative cellular image-analysis system for assessing cellular senescence phenotypes.
- To address the difficulties in the physiological analysis of senescent cells.
Main Methods:
- Employed an automated and quantitative cellular image-analysis system.
- Induced cellular senescence in normal human diploid fibroblasts (TIG-1 cells).
- Quantified cellular senescence phenotypes using the developed system.
Main Results:
- The automated system successfully quantified cellular senescence phenotypes in TIG-1 cells.
- The image-analysis system proved to be a powerful tool for studying cellular senescence.
- Quantitative analysis of senescence phenotypes under physiological conditions was achieved.
Conclusions:
- Automated, quantitative image analysis is a powerful tool for studying cellular senescence.
- This approach overcomes previous limitations in analyzing senescent cell phenotypes physiologically.
- The developed system facilitates more robust research into cellular senescence mechanisms and implications.
