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Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling
The tumor suppressor protein p53 regulates numerous signaling pathways by specifically recognizing diverse p53 response elements (REs). Understanding the mechanisms of p53-DNA interaction requires structural information on p53 REs. However, such information is limited as a 3D structure of any RE in...
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/PMC3936745/ https://www.ncbi.nlm.nih.gov/pubmed/24293651 http://dx.doi.org/10.1093/nar/gkt1219 |
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author | Zhang, Xiaojun Dantas Machado, Ana Carolina Ding, Yuan Chen, Yongheng Lu, Yan Duan, Yankun Tham, Kenneth W. Chen, Lin Rohs, Remo Qin, Peter Z. |
author_facet | Zhang, Xiaojun Dantas Machado, Ana Carolina Ding, Yuan Chen, Yongheng Lu, Yan Duan, Yankun Tham, Kenneth W. Chen, Lin Rohs, Remo Qin, Peter Z. |
author_sort | Zhang, Xiaojun |
collection | PubMed |
description | The tumor suppressor protein p53 regulates numerous signaling pathways by specifically recognizing diverse p53 response elements (REs). Understanding the mechanisms of p53-DNA interaction requires structural information on p53 REs. However, such information is limited as a 3D structure of any RE in the unbound form is not available yet. Here, site-directed spin labeling was used to probe the solution structures of REs involved in p53 regulation of the p21 and Bax genes. Multiple nanometer distances in the p21-RE and BAX-RE, measured using a nucleotide-independent nitroxide probe and double-electron-electron-resonance spectroscopy, were used to derive molecular models of unbound REs from pools of all-atom structures generated by Monte-Carlo simulations, thus enabling analyses to reveal sequence-dependent DNA shape features of unbound REs in solution. The data revealed distinct RE conformational changes on binding to the p53 core domain, and support the hypothesis that sequence-dependent properties encoded in REs are exploited by p53 to achieve the energetically most favorable mode of deformation, consequently enhancing binding specificity. This work reveals mechanisms of p53-DNA recognition, and establishes a new experimental/computational approach for studying DNA shape in solution that has far-reaching implications for studying protein–DNA interactions. |
format | Online Article Text |
id | pubmed-3936745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39367452014-03-04 Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling Zhang, Xiaojun Dantas Machado, Ana Carolina Ding, Yuan Chen, Yongheng Lu, Yan Duan, Yankun Tham, Kenneth W. Chen, Lin Rohs, Remo Qin, Peter Z. Nucleic Acids Res Structural Biology The tumor suppressor protein p53 regulates numerous signaling pathways by specifically recognizing diverse p53 response elements (REs). Understanding the mechanisms of p53-DNA interaction requires structural information on p53 REs. However, such information is limited as a 3D structure of any RE in the unbound form is not available yet. Here, site-directed spin labeling was used to probe the solution structures of REs involved in p53 regulation of the p21 and Bax genes. Multiple nanometer distances in the p21-RE and BAX-RE, measured using a nucleotide-independent nitroxide probe and double-electron-electron-resonance spectroscopy, were used to derive molecular models of unbound REs from pools of all-atom structures generated by Monte-Carlo simulations, thus enabling analyses to reveal sequence-dependent DNA shape features of unbound REs in solution. The data revealed distinct RE conformational changes on binding to the p53 core domain, and support the hypothesis that sequence-dependent properties encoded in REs are exploited by p53 to achieve the energetically most favorable mode of deformation, consequently enhancing binding specificity. This work reveals mechanisms of p53-DNA recognition, and establishes a new experimental/computational approach for studying DNA shape in solution that has far-reaching implications for studying protein–DNA interactions. Oxford University Press 2014-02 2013-11-30 /pmc/articles/PMC3936745/ /pubmed/24293651 http://dx.doi.org/10.1093/nar/gkt1219 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Structural Biology Zhang, Xiaojun Dantas Machado, Ana Carolina Ding, Yuan Chen, Yongheng Lu, Yan Duan, Yankun Tham, Kenneth W. Chen, Lin Rohs, Remo Qin, Peter Z. Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title | Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title_full | Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title_fullStr | Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title_full_unstemmed | Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title_short | Conformations of p53 response elements in solution deduced using site-directed spin labeling and Monte Carlo sampling |
title_sort | conformations of p53 response elements in solution deduced using site-directed spin labeling and monte carlo sampling |
topic | Structural Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936745/ https://www.ncbi.nlm.nih.gov/pubmed/24293651 http://dx.doi.org/10.1093/nar/gkt1219 |
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