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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...

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Detalles Bibliográficos
Autores principales: Everett, Logan J., Jensen, Shane T., Hannenhalli, Sridhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
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.
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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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