Literature DB >> 10029087

Using computerized video time lapse for quantifying cell death of X-irradiated rat embryo cells transfected with c-myc or c-Ha-ras.

H B Forrester1, C A Vidair, N Albright, C C Ling, W C Dewey.   

Abstract

Rat embryo fibroblasts that had been transfected with the c-myc or c-Ha-ras oncogene were X-irradiated, after which individual cells and their progeny were followed in multiple fields for 5-6 days by computerized video time lapse microscopy to quantify the lethal events that resulted in loss of clonogenic survival. The loss of clonogenic survival of X-irradiated (9.5 or 2.5 Gy) REC:myc cells was attributed almost entirely to the cells dying by apoptosis, with almost all of the apoptosis occurring after the progeny had divided from one to four times. In contrast, the loss of clonogenic survival of X-irradiated REC:ras cells was attributed to two processes. After 9.5 Gy, approximately approximately 60% of the nonclonogenic cells died by apoptosis (with a very small amount of necrosis), and the other 40% underwent a senescent-type process in which some of the cells and their progeny stopped dividing but remained as viable cells throughout 140 h of observation. Both processes usually occurred after the cells had divided and continued to occur in the cells' progeny for up to five divisions after irradiation. Furthermore, the duration of the apoptotic process was shorter for REC:myc cells (0.5-1 h) than for REC:ras cells (4-5 h). By using computerized video time lapse to follow individual cells, we were able to determine the mode of cell death. This cannot be determined by conventional clonogenic survival experiments. Also, only by following the individual cells and their progeny can the true amount of apoptosis be determined. The cumulative percentage of apoptosis scored in whole populations, without distinguishing between the progeny of individually irradiated cells, does not reflect the true amount of apoptosis that occurs in cells that undergo postmitotic apoptosis after irradiation. Scoring cell death in whole populations of cells gives erroneous results because both clonogenic and nonclonogenic cells are dividing as nonclonogenic cells are apoptosing or senescing over a period of many days. For example, after 9.5 Gy, which causes reproductive cell death in 99% of both types of cells, the cumulative percentage of the cells scored as dead in the whole population at 60- 80 h after irradiation, when the maximum amount of cumulative apoptosis occurred, was approximately 60% for REC:myc cells, compared with only approximately 40% for REC:ras cells.

Entities:  

Mesh:

Year:  1999        PMID: 10029087

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  18 in total

1.  A mathematical model of tumor growth and its response to single irradiation.

Authors:  Yoichi Watanabe; Erik L Dahlman; Kevin Z Leder; Susanta K Hui
Journal:  Theor Biol Med Model       Date:  2016-02-27       Impact factor: 2.432

2.  Beyond The T/C Ratio: Old And New Anticancer Activity Scores In Vivo.

Authors:  Paolo Ubezio
Journal:  Cancer Manag Res       Date:  2019-09-19       Impact factor: 3.989

3.  A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data.

Authors:  Junyan Liu; David A Hormuth; Jianchen Yang; Thomas E Yankeelov
Journal:  Front Oncol       Date:  2022-02-04       Impact factor: 6.244

4.  Mitotic Index Analysis.

Authors:  Takamitsu A Kato; Jeremy S Haskins
Journal:  Methods Mol Biol       Date:  2023

5.  Cannabinoids selectively inhibit proliferation and induce death of cultured human glioblastoma multiforme cells.

Authors:  Sean D McAllister; Calvin Chan; Ryan J Taft; Tri Luu; Mary E Abood; Dan H Moore; Ken Aldape; Garret Yount
Journal:  J Neurooncol       Date:  2005-08       Impact factor: 4.130

6.  Protein expression pattern in response to ionizing radiation in MCF-7 human breast cancer cells.

Authors:  Samil Jung; Soonduck Lee; Jayhee Lee; Chengping Li; Ji-Yeon Ohk; Hyeon-Kyung Jeong; Seungkyu Lee; Sangwoo Kim; Yunyeong Choi; Sunghak Kim; Heungwoo Lee; Myeong-Sok Lee
Journal:  Oncol Lett       Date:  2011-10-18       Impact factor: 2.967

7.  NF-kappaB-mediated HER2 overexpression in radiation-adaptive resistance.

Authors:  Ning Cao; Shiyong Li; Zhaoqing Wang; Kazi Mokim Ahmed; Michael E Degnan; Ming Fan; Joseph R Dynlacht; Jian Jian Li
Journal:  Radiat Res       Date:  2009-01       Impact factor: 2.841

8.  Modelling the interplay between hypoxia and proliferation in radiotherapy tumour response.

Authors:  J Jeong; K I Shoghi; J O Deasy
Journal:  Phys Med Biol       Date:  2013-06-21       Impact factor: 3.609

9.  A time-resolved experimental-mathematical model for predicting the response of glioma cells to single-dose radiation therapy.

Authors:  Junyan Liu; David A Hormuth; Tessa Davis; Jianchen Yang; Matthew T McKenna; Angela M Jarrett; Heiko Enderling; Amy Brock; Thomas E Yankeelov
Journal:  Integr Biol (Camb)       Date:  2021-07-08       Impact factor: 3.177

10.  CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells.

Authors:  Sarah Rudigkeit; Julian B Reindl; Nicole Matejka; Rika Ramson; Matthias Sammer; Günther Dollinger; Judith Reindl
Journal:  Front Oncol       Date:  2021-06-30       Impact factor: 6.244

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.