A model for genetic and epigenetic regulatory networks identifies rare 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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Public Library of Science
2010
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| Online Access: | http://hdl.handle.net/1721.1/57580 https://orcid.org/0000-0003-1268-9602 |
| _version_ | 1826198018731278336 |
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| author | Artyomov, Maxim N. Meissner, Alexander Chakraborty, Arup K. |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Artyomov, Maxim N. Meissner, Alexander Chakraborty, Arup K. |
| author_sort | Artyomov, Maxim N. |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T10:57:36Z |
| format | Article |
| id | mit-1721.1/57580 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:57:36Z |
| publishDate | 2010 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | mit-1721.1/575802022-10-01T00:12:42Z A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency Artyomov, Maxim N. Meissner, Alexander Chakraborty, Arup K. Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Chemical Engineering Massachusetts Institute of Technology. Department of Chemistry Chakraborty, Arup K. Chakraborty, Arup K. Artyomov, Maxim N. 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. 2010-08-27T14:16:35Z 2010-08-27T14:16:35Z 2010-05 2009-06 Article http://purl.org/eprint/type/JournalArticle 1553-7358 1553-734X http://hdl.handle.net/1721.1/57580 Artyomov, Maxim N., Alexander Meissner, and Arup K. Chakraborty. “A Model for Genetic and Epigenetic Regulatory Networks Identifies Rare Pathways for Transcription Factor Induced Pluripotency.” PLoS Comput Biol 6.5 (2010): e1000785. https://orcid.org/0000-0003-1268-9602 en_US http://dx.doi.org/10.1371/journal.pcbi.1000785 PLoS Computational Biology Creative Commons Attribution http://creativecommons.org/licenses/by/2.5/ application/pdf Public Library of Science PLoS |
| spellingShingle | Artyomov, Maxim N. Meissner, Alexander Chakraborty, Arup K. A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title | A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title_full | A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title_fullStr | A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title_full_unstemmed | A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title_short | A model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| title_sort | model for genetic and epigenetic regulatory networks identifies rare for transcription factor induced pluripotency |
| url | http://hdl.handle.net/1721.1/57580 https://orcid.org/0000-0003-1268-9602 |
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