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Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea
Organisms across all three domains of life use gene regulatory networks (GRNs) to integrate varied stimuli into coherent transcriptional responses to environmental pressures. However, inferring GRN topology and regulatory causality remains a central challenge in systems biology. Previous work charac...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794607/ https://www.ncbi.nlm.nih.gov/pubmed/23892291 http://dx.doi.org/10.1093/nar/gkt659 |
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author | Todor, Horia Sharma, Kriti Pittman, Adrianne M. C. Schmid, Amy K. |
author_facet | Todor, Horia Sharma, Kriti Pittman, Adrianne M. C. Schmid, Amy K. |
author_sort | Todor, Horia |
collection | PubMed |
description | Organisms across all three domains of life use gene regulatory networks (GRNs) to integrate varied stimuli into coherent transcriptional responses to environmental pressures. However, inferring GRN topology and regulatory causality remains a central challenge in systems biology. Previous work characterized TrmB as a global metabolic transcription factor in archaeal extremophiles. However, it remains unclear how TrmB dynamically regulates its ∼100 metabolic enzyme-coding gene targets. Using a dynamic perturbation approach, we elucidate the topology of the TrmB metabolic GRN in the model archaeon Halobacterium salinarum. Clustering of dynamic gene expression patterns reveals that TrmB functions alone to regulate central metabolic enzyme-coding genes but cooperates with various regulators to control peripheral metabolic pathways. Using a dynamical model, we predict gene expression patterns for some TrmB-dependent promoters and infer secondary regulators for others. Our data suggest feed-forward gene regulatory topology for cobalamin biosynthesis. In contrast, purine biosynthesis appears to require TrmB-independent regulators. We conclude that TrmB is an important component for mediating metabolic modularity, integrating nutrient status and regulating gene expression dynamics alone and in concert with secondary regulators. |
format | Online Article Text |
id | pubmed-3794607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37946072013-10-21 Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea Todor, Horia Sharma, Kriti Pittman, Adrianne M. C. Schmid, Amy K. Nucleic Acids Res Gene Regulation, Chromatin and Epigenetics Organisms across all three domains of life use gene regulatory networks (GRNs) to integrate varied stimuli into coherent transcriptional responses to environmental pressures. However, inferring GRN topology and regulatory causality remains a central challenge in systems biology. Previous work characterized TrmB as a global metabolic transcription factor in archaeal extremophiles. However, it remains unclear how TrmB dynamically regulates its ∼100 metabolic enzyme-coding gene targets. Using a dynamic perturbation approach, we elucidate the topology of the TrmB metabolic GRN in the model archaeon Halobacterium salinarum. Clustering of dynamic gene expression patterns reveals that TrmB functions alone to regulate central metabolic enzyme-coding genes but cooperates with various regulators to control peripheral metabolic pathways. Using a dynamical model, we predict gene expression patterns for some TrmB-dependent promoters and infer secondary regulators for others. Our data suggest feed-forward gene regulatory topology for cobalamin biosynthesis. In contrast, purine biosynthesis appears to require TrmB-independent regulators. We conclude that TrmB is an important component for mediating metabolic modularity, integrating nutrient status and regulating gene expression dynamics alone and in concert with secondary regulators. Oxford University Press 2013-10 2013-07-26 /pmc/articles/PMC3794607/ /pubmed/23892291 http://dx.doi.org/10.1093/nar/gkt659 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Gene Regulation, Chromatin and Epigenetics Todor, Horia Sharma, Kriti Pittman, Adrianne M. C. Schmid, Amy K. Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title | Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title_full | Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title_fullStr | Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title_full_unstemmed | Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title_short | Protein–DNA binding dynamics predict transcriptional response to nutrients in archaea |
title_sort | protein–dna binding dynamics predict transcriptional response to nutrients in archaea |
topic | Gene Regulation, Chromatin and Epigenetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3794607/ https://www.ncbi.nlm.nih.gov/pubmed/23892291 http://dx.doi.org/10.1093/nar/gkt659 |
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