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Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)

The inefficiency of generating induced pluripotent somatic cells (iPS) engendered two contending models, namely the Stochastic model and Elite model. Although the former is more favorable to explain the inherent inefficiencies, it may be fallible to extrapolate the same working model to reprogrammin...

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Detalles Bibliográficos
Autores principales: Lai, Jason, Kong, Chiou Mee, Mahalingam, Dashayini, Xie, Xiaojin, Wang, Xueying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572060/
https://www.ncbi.nlm.nih.gov/pubmed/23418593
http://dx.doi.org/10.1371/journal.pone.0056702
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author Lai, Jason
Kong, Chiou Mee
Mahalingam, Dashayini
Xie, Xiaojin
Wang, Xueying
author_facet Lai, Jason
Kong, Chiou Mee
Mahalingam, Dashayini
Xie, Xiaojin
Wang, Xueying
author_sort Lai, Jason
collection PubMed
description The inefficiency of generating induced pluripotent somatic cells (iPS) engendered two contending models, namely the Stochastic model and Elite model. Although the former is more favorable to explain the inherent inefficiencies, it may be fallible to extrapolate the same working model to reprogramming of cancer cells. Indeed, tumor cells are known to be inherently heterogeneous with respect to distinctive characteristics thus providing a suitable platform to test whether the reprogramming process of cancer cells is biased. Here, we report our observations that all randomly picked induced pluripotent cancer cells (iPCs) established previously do not possess mutations known in the parental population. This unanticipated observation is most parsimoniously explained by the Elite model, whereby putative early tumor progenies were selected during induction to pluripotency.
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spelling pubmed-35720602013-02-15 Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs) Lai, Jason Kong, Chiou Mee Mahalingam, Dashayini Xie, Xiaojin Wang, Xueying PLoS One Research Article The inefficiency of generating induced pluripotent somatic cells (iPS) engendered two contending models, namely the Stochastic model and Elite model. Although the former is more favorable to explain the inherent inefficiencies, it may be fallible to extrapolate the same working model to reprogramming of cancer cells. Indeed, tumor cells are known to be inherently heterogeneous with respect to distinctive characteristics thus providing a suitable platform to test whether the reprogramming process of cancer cells is biased. Here, we report our observations that all randomly picked induced pluripotent cancer cells (iPCs) established previously do not possess mutations known in the parental population. This unanticipated observation is most parsimoniously explained by the Elite model, whereby putative early tumor progenies were selected during induction to pluripotency. Public Library of Science 2013-02-13 /pmc/articles/PMC3572060/ /pubmed/23418593 http://dx.doi.org/10.1371/journal.pone.0056702 Text en © 2013 Lai et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lai, Jason
Kong, Chiou Mee
Mahalingam, Dashayini
Xie, Xiaojin
Wang, Xueying
Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title_full Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title_fullStr Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title_full_unstemmed Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title_short Elite Model for the Generation of Induced Pluripotent Cancer Cells (iPCs)
title_sort elite model for the generation of induced pluripotent cancer cells (ipcs)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572060/
https://www.ncbi.nlm.nih.gov/pubmed/23418593
http://dx.doi.org/10.1371/journal.pone.0056702
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