Literature DB >> 33984364

Cancer-Associated Mutations Perturb the Disordered Ensemble and Interactions of the Intrinsically Disordered p53 Transactivation Domain.

Lynn G Schrag1, Xiaorong Liu2, Indhujah Thevarajan1, Om Prakash3, Michal Zolkiewski4, Jianhan Chen5.   

Abstract

Intrinsically disordered proteins (IDPs) are key components of regulatory networks that control crucial aspects of cell decision making. The intrinsically disordered transactivation domain (TAD) of tumor suppressor p53 mediates its interactions with multiple regulatory pathways to control the p53 homeostasis during the cellular response to genotoxic stress. Many cancer-associated mutations have been discovered in p53-TAD, but their structural and functional consequences are poorly understood. Here, by combining atomistic simulations, NMR spectroscopy, and binding assays, we demonstrate that cancer-associated mutations can significantly perturb the balance of p53 interactions with key activation and degradation regulators. Importantly, the four mutations studied in this work do not all directly disrupt the known interaction interfaces. Instead, at least three of these mutations likely modulate the disordered state of p53-TAD to perturb its interactions with regulators. Specifically, NMR and simulation analysis together suggest that these mutations can modulate the level of conformational expansion as well as rigidity of the disordered state. Our work suggests that the disordered conformational ensemble of p53-TAD can serve as a central conduit in regulating the response to various cellular stimuli at the protein-protein interaction level. Understanding how the disordered state of IDPs may be modulated by regulatory signals and/or disease associated perturbations will be essential in the studies on the role of IDPs in biology and diseases.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  NMR; atomistic simulation; biolayer interferometry; conformational equilibrium; intrinsically disordered proteins

Mesh:

Substances:

Year:  2021        PMID: 33984364      PMCID: PMC8286338          DOI: 10.1016/j.jmb.2021.167048

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   6.151


  128 in total

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7.  Differences in the transactivation domains of p53 family members: a computational study.

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Review 2.  Advanced Sampling Methods for Multiscale Simulation of Disordered Proteins and Dynamic Interactions.

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