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A Hill type equation can predict target gene expression driven by p53 pulsing

Many factors determine target gene expression dynamics under p53 pulsing. In this study, I sought to determine the mechanism by which duration, frequency, binding affinity and maximal transcription rate affect the expression dynamics of target genes. Using an analytical method to solve a simple mode...

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Detalles Bibliográficos
Autor principal: Shi, Xiaomin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167869/
https://www.ncbi.nlm.nih.gov/pubmed/33955710
http://dx.doi.org/10.1002/2211-5463.13179
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author Shi, Xiaomin
author_facet Shi, Xiaomin
author_sort Shi, Xiaomin
collection PubMed
description Many factors determine target gene expression dynamics under p53 pulsing. In this study, I sought to determine the mechanism by which duration, frequency, binding affinity and maximal transcription rate affect the expression dynamics of target genes. Using an analytical method to solve a simple model, I found that the fold change of target gene expression increases relative to the number of p53 pulses, and the optimal frequency, 0.18 h(−1), from two real p53 pulses drives the maximal fold change with a decay rate of 0.18 h(−1). Moreover, p53 pulses may also lead to a higher fold change than sustained p53. Finally, I discovered that a Hill‐type equation, including these effect factors, can characterise target gene expression. The average error between the theoretical predictions and experiments was 23%. Collectively, this equation advances the understanding of transcription factor dynamics, where duration and frequency play a significant role in the fine regulation of target gene expression with higher binding affinity.
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spelling pubmed-81678692021-06-05 A Hill type equation can predict target gene expression driven by p53 pulsing Shi, Xiaomin FEBS Open Bio Research Articles Many factors determine target gene expression dynamics under p53 pulsing. In this study, I sought to determine the mechanism by which duration, frequency, binding affinity and maximal transcription rate affect the expression dynamics of target genes. Using an analytical method to solve a simple model, I found that the fold change of target gene expression increases relative to the number of p53 pulses, and the optimal frequency, 0.18 h(−1), from two real p53 pulses drives the maximal fold change with a decay rate of 0.18 h(−1). Moreover, p53 pulses may also lead to a higher fold change than sustained p53. Finally, I discovered that a Hill‐type equation, including these effect factors, can characterise target gene expression. The average error between the theoretical predictions and experiments was 23%. Collectively, this equation advances the understanding of transcription factor dynamics, where duration and frequency play a significant role in the fine regulation of target gene expression with higher binding affinity. John Wiley and Sons Inc. 2021-05-27 /pmc/articles/PMC8167869/ /pubmed/33955710 http://dx.doi.org/10.1002/2211-5463.13179 Text en © 2021 The Authors. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Shi, Xiaomin
A Hill type equation can predict target gene expression driven by p53 pulsing
title A Hill type equation can predict target gene expression driven by p53 pulsing
title_full A Hill type equation can predict target gene expression driven by p53 pulsing
title_fullStr A Hill type equation can predict target gene expression driven by p53 pulsing
title_full_unstemmed A Hill type equation can predict target gene expression driven by p53 pulsing
title_short A Hill type equation can predict target gene expression driven by p53 pulsing
title_sort hill type equation can predict target gene expression driven by p53 pulsing
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8167869/
https://www.ncbi.nlm.nih.gov/pubmed/33955710
http://dx.doi.org/10.1002/2211-5463.13179
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