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Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis
Transcription factor activity is largely regulated through post-translational modification. Here, we report the first integrative model of transcription that includes both interactions between transcription factors and promoters, and between transcription factors and modifying enzymes. Simulations i...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130287/ https://www.ncbi.nlm.nih.gov/pubmed/21470963 http://dx.doi.org/10.1093/nar/gkr172 |
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author | Everett, Logan J. Jensen, Shane T. Hannenhalli, Sridhar |
author_facet | Everett, Logan J. Jensen, Shane T. Hannenhalli, Sridhar |
author_sort | Everett, Logan J. |
collection | PubMed |
description | Transcription factor activity is largely regulated through post-translational modification. Here, we report the first integrative model of transcription that includes both interactions between transcription factors and promoters, and between transcription factors and modifying enzymes. Simulations indicate that our method is robust against noise. We validated our tool on a well-studied stress response network in yeast and on a STAT1-mediated regulatory network in human B cells. Our work represents a significant step toward a comprehensive model of gene transcription. |
format | Online Article Text |
id | pubmed-3130287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-31302872011-07-06 Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis Everett, Logan J. Jensen, Shane T. Hannenhalli, Sridhar Nucleic Acids Res Methods Online Transcription factor activity is largely regulated through post-translational modification. Here, we report the first integrative model of transcription that includes both interactions between transcription factors and promoters, and between transcription factors and modifying enzymes. Simulations indicate that our method is robust against noise. We validated our tool on a well-studied stress response network in yeast and on a STAT1-mediated regulatory network in human B cells. Our work represents a significant step toward a comprehensive model of gene transcription. Oxford University Press 2011-07 2011-04-05 /pmc/articles/PMC3130287/ /pubmed/21470963 http://dx.doi.org/10.1093/nar/gkr172 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Everett, Logan J. Jensen, Shane T. Hannenhalli, Sridhar Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title | Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title_full | Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title_fullStr | Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title_full_unstemmed | Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title_short | Transcriptional regulation via TF-modifying enzymes: an integrative model-based analysis |
title_sort | transcriptional regulation via tf-modifying enzymes: an integrative model-based analysis |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130287/ https://www.ncbi.nlm.nih.gov/pubmed/21470963 http://dx.doi.org/10.1093/nar/gkr172 |
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