Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782181109485797376 |
---|---|
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. |
format | Text |
id | pubmed-2869311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT artyomovmaximn amodelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency AT meissneralexander amodelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency AT chakrabortyarupk amodelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency AT artyomovmaximn modelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency AT meissneralexander modelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency AT chakrabortyarupk modelforgeneticandepigeneticregulatorynetworksidentifiesrarepathwaysfortranscriptionfactorinducedpluripotency |