Literature DB >> 21722803

Fluorescence-based detection and quantification of features of cellular senescence.

Sohee Cho1, Eun Seong Hwang.   

Abstract

Cellular senescence is a spontaneous organismal defense mechanism against tumor progression which is raised upon the activation of oncoproteins or other cellular environmental stresses that must be circumvented for tumorigenesis to occur. It involves growth-arrest state of normal cells after a number of active divisions. There are multiple experimental routes that can drive cells into a state of senescence. Normal somatic cells and cancer cells enter a state of senescence upon overexpression of oncogenic Ras or Raf protein or by imposing certain kinds of stress such as cellular tumor suppressor function. Both flow cytometry and confocal imaging analysis techniques are very useful in quantitative analysis of cellular senescence phenomenon. They allow quantitative estimates of multiple different phenotypes expressed in multiple cell populations simultaneously. Here we review the various types of fluorescence methodologies including confocal imaging and flow cytometry that are frequently utilized to study a variety of senescence. First, we discuss key cell biological changes occurring during senescence and review the current understanding on the mechanisms of these changes with the goal of improving existing protocols and further developing new ones. Next, we list specific senescence phenotypes associated with each cellular trait along with the principles of their assay methods and the significance of the assay outcomes. We conclude by selecting appropriate references that demonstrate a typical example of each method.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21722803     DOI: 10.1016/B978-0-12-385493-3.00007-3

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  15 in total

1.  Persistent DNA damage caused by low levels of mitomycin C induces irreversible cell senescence.

Authors:  Elise McKenna; Frank Traganos; Hong Zhao; Zbigniew Darzynkiewicz
Journal:  Cell Cycle       Date:  2012-08-08       Impact factor: 4.534

2.  Biomarkers of cell senescence assessed by imaging cytometry.

Authors:  Hong Zhao; Zbigniew Darzynkiewicz
Journal:  Methods Mol Biol       Date:  2013

3.  Attenuation of replication stress-induced premature cellular senescence to assess anti-aging modalities.

Authors:  Hong Zhao; Zbigniew Darzynkiewicz
Journal:  Curr Protoc Cytom       Date:  2014-07-01

4.  Kinetics of the cell biological changes occurring in the progression of DNA damage-induced senescence.

Authors:  Sohee Cho; Jihoon Park; Eun Seong Hwang
Journal:  Mol Cells       Date:  2011-04-21       Impact factor: 5.034

5.  Damage-Associated molecular pattern markers HMGB1 and cell-Free fetal telomere fragments in oxidative-Stressed amnion epithelial cell-Derived exosomes.

Authors:  Samantha Sheller-Miller; Rheanna Urrabaz-Garza; George Saade; Ramkumar Menon
Journal:  J Reprod Immunol       Date:  2017-08-24       Impact factor: 4.054

6.  An Optimized Mouse Brain Atlas for Automated Mapping and Quantification of Neuronal Activity Using iDISCO+ and Light Sheet Fluorescence Microscopy.

Authors:  Johanna Perens; Casper Gravesen Salinas; Jacob Lercke Skytte; Urmas Roostalu; Anders Bjorholm Dahl; Tim B Dyrby; Franziska Wichern; Pernille Barkholt; Niels Vrang; Jacob Jelsing; Jacob Hecksher-Sørensen
Journal:  Neuroinformatics       Date:  2021-07

7.  The pro-inflammatory phenotype of the human non-classical monocyte subset is attributed to senescence.

Authors:  Siew-Min Ong; Eva Hadadi; Truong-Minh Dang; Wei-Hseun Yeap; Crystal Tze-Ying Tan; Tze-Pin Ng; Anis Larbi; Siew-Cheng Wong
Journal:  Cell Death Dis       Date:  2018-02-15       Impact factor: 8.469

8.  Construction of a computable network model for DNA damage, autophagy, cell death, and senescence.

Authors:  Stephan Gebel; Rosemarie B Lichtner; Brian Frushour; Walter K Schlage; Vy Hoang; Marja Talikka; Arnd Hengstermann; Carole Mathis; Emilija Veljkovic; Michael Peck; Manuel C Peitsch; Renee Deehan; Julia Hoeng; Jurjen W Westra
Journal:  Bioinform Biol Insights       Date:  2013-03-07

9.  Iron deficiency exacerbates cisplatin- or rhabdomyolysis-induced acute kidney injury through promoting iron-catalyzed oxidative damage.

Authors:  Shifeng Zhao; Xueqiao Wang; Xiaoqing Zheng; Xiu Liang; Zhigang Wang; Juanlian Zhang; Xudong Zhao; Shougang Zhuang; Qiuhui Pan; Fenyong Sun; Wenjun Shang; Jonathan Barasch; Andong Qiu
Journal:  Free Radic Biol Med       Date:  2021-07-21       Impact factor: 8.101

10.  In search for geroprotectors: in silico screening and in vitro validation of signalome-level mimetics of young healthy state.

Authors:  Alexander Aliper; Aleksey V Belikov; Andrew Garazha; Leslie Jellen; Artem Artemov; Maria Suntsova; Alena Ivanova; Larisa Venkova; Nicolas Borisov; Anton Buzdin; Polina Mamoshina; Evgeny Putin; Andrew G Swick; Alexey Moskalev; Alex Zhavoronkov
Journal:  Aging (Albany NY)       Date:  2016-09-24       Impact factor: 5.682

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