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Evidence of drug-response heterogeneity rapidly generated from a single cancer cell

One cancer cell line is believed to be composed of numerous clones with different drug sensitivity. We sought to investigate the difference of drug-response pattern in clones from a cell line or from a single cell. We showed that 22 clones derived from 4T1 cells were drastically different from each...

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Detalles Bibliográficos
Autores principales: Wang, Rong, Jin, Chengmeng, Hu, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522224/
https://www.ncbi.nlm.nih.gov/pubmed/28467802
http://dx.doi.org/10.18632/oncotarget.17064
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author Wang, Rong
Jin, Chengmeng
Hu, Xun
author_facet Wang, Rong
Jin, Chengmeng
Hu, Xun
author_sort Wang, Rong
collection PubMed
description One cancer cell line is believed to be composed of numerous clones with different drug sensitivity. We sought to investigate the difference of drug-response pattern in clones from a cell line or from a single cell. We showed that 22 clones derived from 4T1 cells were drastically different from each other with respect to drug-response pattern against 11 anticancer drugs and expression profile of 19 genes associated with drug resistance or sensitivity. Similar results were obtained using daughter clones derived from a single 4T1 cell. Each daughter clone showed distinct drug-response pattern and gene expression profile. Similar results were also obtained using Bcap37 cells. We conclude that a single cancer cell can rapidly produce a population of cells with high heterogeneity of drug response and the acquisition of drug-response heterogeneity is random.
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spelling pubmed-55222242017-08-21 Evidence of drug-response heterogeneity rapidly generated from a single cancer cell Wang, Rong Jin, Chengmeng Hu, Xun Oncotarget Research Paper One cancer cell line is believed to be composed of numerous clones with different drug sensitivity. We sought to investigate the difference of drug-response pattern in clones from a cell line or from a single cell. We showed that 22 clones derived from 4T1 cells were drastically different from each other with respect to drug-response pattern against 11 anticancer drugs and expression profile of 19 genes associated with drug resistance or sensitivity. Similar results were obtained using daughter clones derived from a single 4T1 cell. Each daughter clone showed distinct drug-response pattern and gene expression profile. Similar results were also obtained using Bcap37 cells. We conclude that a single cancer cell can rapidly produce a population of cells with high heterogeneity of drug response and the acquisition of drug-response heterogeneity is random. Impact Journals LLC 2017-04-12 /pmc/articles/PMC5522224/ /pubmed/28467802 http://dx.doi.org/10.18632/oncotarget.17064 Text en Copyright: © 2017 Wang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (http://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Wang, Rong
Jin, Chengmeng
Hu, Xun
Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title_full Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title_fullStr Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title_full_unstemmed Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title_short Evidence of drug-response heterogeneity rapidly generated from a single cancer cell
title_sort evidence of drug-response heterogeneity rapidly generated from a single cancer cell
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522224/
https://www.ncbi.nlm.nih.gov/pubmed/28467802
http://dx.doi.org/10.18632/oncotarget.17064
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