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Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling
The tetrameric tumor suppressor p53 represents a great challenge for 3D-structural analysis due to its high degree of intrinsic disorder (ca. 40%). We aim to shed light on the structural and functional roles of p53’s C-terminal region in full-length, wild-type human p53 tetramer and their importance...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213020/ https://www.ncbi.nlm.nih.gov/pubmed/37231156 http://dx.doi.org/10.1038/s41598-023-35437-5 |
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author | Di Ianni, Alessio Tüting, Christian Kipping, Marc Ihling, Christian H. Köppen, Janett Iacobucci, Claudio Arlt, Christian Kastritis, Panagiotis L. Sinz, Andrea |
author_facet | Di Ianni, Alessio Tüting, Christian Kipping, Marc Ihling, Christian H. Köppen, Janett Iacobucci, Claudio Arlt, Christian Kastritis, Panagiotis L. Sinz, Andrea |
author_sort | Di Ianni, Alessio |
collection | PubMed |
description | The tetrameric tumor suppressor p53 represents a great challenge for 3D-structural analysis due to its high degree of intrinsic disorder (ca. 40%). We aim to shed light on the structural and functional roles of p53’s C-terminal region in full-length, wild-type human p53 tetramer and their importance for DNA binding. For this, we employed complementary techniques of structural mass spectrometry (MS) in an integrated approach with computational modeling. Our results show no major conformational differences in p53 between DNA-bound and DNA-free states, but reveal a substantial compaction of p53’s C-terminal region. This supports the proposed mechanism of unspecific DNA binding to the C-terminal region of p53 prior to transcription initiation by specific DNA binding to the core domain of p53. The synergies between complementary structural MS techniques and computational modeling as pursued in our integrative approach is envisioned to serve as general strategy for studying intrinsically disordered proteins (IDPs) and intrinsically disordered region (IDRs). |
format | Online Article Text |
id | pubmed-10213020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102130202023-05-27 Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling Di Ianni, Alessio Tüting, Christian Kipping, Marc Ihling, Christian H. Köppen, Janett Iacobucci, Claudio Arlt, Christian Kastritis, Panagiotis L. Sinz, Andrea Sci Rep Article The tetrameric tumor suppressor p53 represents a great challenge for 3D-structural analysis due to its high degree of intrinsic disorder (ca. 40%). We aim to shed light on the structural and functional roles of p53’s C-terminal region in full-length, wild-type human p53 tetramer and their importance for DNA binding. For this, we employed complementary techniques of structural mass spectrometry (MS) in an integrated approach with computational modeling. Our results show no major conformational differences in p53 between DNA-bound and DNA-free states, but reveal a substantial compaction of p53’s C-terminal region. This supports the proposed mechanism of unspecific DNA binding to the C-terminal region of p53 prior to transcription initiation by specific DNA binding to the core domain of p53. The synergies between complementary structural MS techniques and computational modeling as pursued in our integrative approach is envisioned to serve as general strategy for studying intrinsically disordered proteins (IDPs) and intrinsically disordered region (IDRs). Nature Publishing Group UK 2023-05-25 /pmc/articles/PMC10213020/ /pubmed/37231156 http://dx.doi.org/10.1038/s41598-023-35437-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Di Ianni, Alessio Tüting, Christian Kipping, Marc Ihling, Christian H. Köppen, Janett Iacobucci, Claudio Arlt, Christian Kastritis, Panagiotis L. Sinz, Andrea Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title | Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title_full | Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title_fullStr | Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title_full_unstemmed | Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title_short | Structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
title_sort | structural assessment of the full-length wild-type tumor suppressor protein p53 by mass spectrometry-guided computational modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213020/ https://www.ncbi.nlm.nih.gov/pubmed/37231156 http://dx.doi.org/10.1038/s41598-023-35437-5 |
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