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Quantitative influence of macromolecular crowding on gene regulation kinetics
We introduce macromolecular crowding quantitatively into the model for kinetics of gene regulation in Escherichia coli. We analyse and compute the specific-site searching time for 180 known transcription factors (TFs) regulating 1300 operons. The time is between 160 s (e.g. for SoxS M(w) = 12.91 kDa...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902910/ https://www.ncbi.nlm.nih.gov/pubmed/24121687 http://dx.doi.org/10.1093/nar/gkt907 |
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author | Tabaka, Marcin Kalwarczyk, Tomasz Hołyst, Robert |
author_facet | Tabaka, Marcin Kalwarczyk, Tomasz Hołyst, Robert |
author_sort | Tabaka, Marcin |
collection | PubMed |
description | We introduce macromolecular crowding quantitatively into the model for kinetics of gene regulation in Escherichia coli. We analyse and compute the specific-site searching time for 180 known transcription factors (TFs) regulating 1300 operons. The time is between 160 s (e.g. for SoxS M(w) = 12.91 kDa) and 1550 s (e.g. for PepA(6) of M(w) = 329.28 kDa). Diffusion coefficients for one-dimensional sliding are between [Image: see text] for large proteins up to [Image: see text] for small monomers or dimers. Three-dimensional diffusion coefficients in the cytoplasm are 2 orders of magnitude larger than 1D sliding coefficients, nevertheless the sliding enhances the binding rates of TF to specific sites by 1–2 orders of magnitude. The latter effect is due to ubiquitous non-specific binding. We compare the model to experimental data for LacI repressor and find that non-specific binding of the protein to DNA is activation- and not diffusion-limited. We show that the target location rate by LacI repressor is optimized with respect to microscopic rate constant for association to non-specific sites on DNA. We analyse the effect of oligomerization of TFs and DNA looping effects on searching kinetics. We show that optimal searching strategy depends on TF abundance. |
format | Online Article Text |
id | pubmed-3902910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39029102014-01-27 Quantitative influence of macromolecular crowding on gene regulation kinetics Tabaka, Marcin Kalwarczyk, Tomasz Hołyst, Robert Nucleic Acids Res Computational Biology We introduce macromolecular crowding quantitatively into the model for kinetics of gene regulation in Escherichia coli. We analyse and compute the specific-site searching time for 180 known transcription factors (TFs) regulating 1300 operons. The time is between 160 s (e.g. for SoxS M(w) = 12.91 kDa) and 1550 s (e.g. for PepA(6) of M(w) = 329.28 kDa). Diffusion coefficients for one-dimensional sliding are between [Image: see text] for large proteins up to [Image: see text] for small monomers or dimers. Three-dimensional diffusion coefficients in the cytoplasm are 2 orders of magnitude larger than 1D sliding coefficients, nevertheless the sliding enhances the binding rates of TF to specific sites by 1–2 orders of magnitude. The latter effect is due to ubiquitous non-specific binding. We compare the model to experimental data for LacI repressor and find that non-specific binding of the protein to DNA is activation- and not diffusion-limited. We show that the target location rate by LacI repressor is optimized with respect to microscopic rate constant for association to non-specific sites on DNA. We analyse the effect of oligomerization of TFs and DNA looping effects on searching kinetics. We show that optimal searching strategy depends on TF abundance. Oxford University Press 2014-01 2013-10-08 /pmc/articles/PMC3902910/ /pubmed/24121687 http://dx.doi.org/10.1093/nar/gkt907 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 | Computational Biology Tabaka, Marcin Kalwarczyk, Tomasz Hołyst, Robert Quantitative influence of macromolecular crowding on gene regulation kinetics |
title | Quantitative influence of macromolecular crowding on gene regulation kinetics |
title_full | Quantitative influence of macromolecular crowding on gene regulation kinetics |
title_fullStr | Quantitative influence of macromolecular crowding on gene regulation kinetics |
title_full_unstemmed | Quantitative influence of macromolecular crowding on gene regulation kinetics |
title_short | Quantitative influence of macromolecular crowding on gene regulation kinetics |
title_sort | quantitative influence of macromolecular crowding on gene regulation kinetics |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3902910/ https://www.ncbi.nlm.nih.gov/pubmed/24121687 http://dx.doi.org/10.1093/nar/gkt907 |
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