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A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency

With relatively low efficiency, differentiated cells can be reprogrammed to a pluripotent state by ectopic expression of a few transcription factors. An understanding of the mechanisms that underlie data emerging from such experiments can help design optimal strategies for creating pluripotent cells...

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Detalles Bibliográficos
Autores principales: Artyomov, Maxim N., Meissner, Alexander, Chakraborty, Arup K.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2869311/
https://www.ncbi.nlm.nih.gov/pubmed/20485562
http://dx.doi.org/10.1371/journal.pcbi.1000785
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author Artyomov, Maxim N.
Meissner, Alexander
Chakraborty, Arup K.
author_facet Artyomov, Maxim N.
Meissner, Alexander
Chakraborty, Arup K.
author_sort Artyomov, Maxim N.
collection PubMed
description With relatively low efficiency, differentiated cells can be reprogrammed to a pluripotent state by ectopic expression of a few transcription factors. An understanding of the mechanisms that underlie data emerging from such experiments can help design optimal strategies for creating pluripotent cells for patient-specific regenerative medicine. We have developed a computational model for the architecture of the epigenetic and genetic regulatory networks which describes transformations resulting from expression of reprogramming factors. Importantly, our studies identify the rare temporal pathways that result in induced pluripotent cells. Further experimental tests of predictions emerging from our model should lead to fundamental advances in our understanding of how cellular identity is maintained and transformed.
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spelling pubmed-28693112010-05-19 A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency Artyomov, Maxim N. Meissner, Alexander Chakraborty, Arup K. PLoS Comput Biol Research Article With relatively low efficiency, differentiated cells can be reprogrammed to a pluripotent state by ectopic expression of a few transcription factors. An understanding of the mechanisms that underlie data emerging from such experiments can help design optimal strategies for creating pluripotent cells for patient-specific regenerative medicine. We have developed a computational model for the architecture of the epigenetic and genetic regulatory networks which describes transformations resulting from expression of reprogramming factors. Importantly, our studies identify the rare temporal pathways that result in induced pluripotent cells. Further experimental tests of predictions emerging from our model should lead to fundamental advances in our understanding of how cellular identity is maintained and transformed. Public Library of Science 2010-05-13 /pmc/articles/PMC2869311/ /pubmed/20485562 http://dx.doi.org/10.1371/journal.pcbi.1000785 Text en Artyomov 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
Artyomov, Maxim N.
Meissner, Alexander
Chakraborty, Arup K.
A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title_full A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title_fullStr A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title_full_unstemmed A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title_short A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency
title_sort model for genetic and epigenetic regulatory networks identifies rare pathways for transcription factor induced pluripotency
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2869311/
https://www.ncbi.nlm.nih.gov/pubmed/20485562
http://dx.doi.org/10.1371/journal.pcbi.1000785
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