Literature DB >> 27291286

Activation of p53 Facilitates the Target Search in DNA by Enhancing the Target Recognition Probability.

Yuji Itoh1, Agato Murata1, Seiji Sakamoto2, Kei Nanatani3, Takehiko Wada2, Satoshi Takahashi4, Kiyoto Kamagata5.   

Abstract

Tumor suppressor p53 binds to the target in a genome and regulates the expression of downstream genes. p53 searches for the target by combining three-dimensional diffusion and one-dimensional sliding along the DNA. To examine the regulation mechanism of the target binding, we constructed the pseudo-wild type (pseudo-WT), activated (S392E), and inactive (R248Q) mutants of p53 and observed their target binding in long DNA using single-molecule fluorescence imaging. The pseudo-WT sliding along the DNA showed many pass events over the target and possessed target recognition probability (TRP) of 7±2%. The TRP increased to 18±2% for the activated mutant but decreased to 0% for the inactive mutant. Furthermore, the fraction of the target binding by the one-dimensional sliding among the total binding events increased from 63±9% for the pseudo-WT to 87±2% for the activated mutant. Control of TRP upon activation, as demonstrated here for p53, might be a general activation mechanism of transcription factors.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  mutation; p53; single molecule; target binding; transcription factor

Mesh:

Substances:

Year:  2016        PMID: 27291286     DOI: 10.1016/j.jmb.2016.06.001

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  15 in total

1.  Quantifying the two-state facilitated diffusion model of protein-DNA interactions.

Authors:  Itai Leven; Yaakov Levy
Journal:  Nucleic Acids Res       Date:  2019-06-20       Impact factor: 16.971

2.  One-Dimensional Search Dynamics of Tumor Suppressor p53 Regulated by a Disordered C-Terminal Domain.

Authors:  Agato Murata; Yuji Itoh; Eriko Mano; Saori Kanbayashi; Chihiro Igarashi; Hiroto Takahashi; Satoshi Takahashi; Kiyoto Kamagata
Journal:  Biophys J       Date:  2017-06-06       Impact factor: 4.033

3.  Intrinsically disordered domain of tumor suppressor p53 facilitates target search by ultrafast transfer between different DNA strands.

Authors:  Yuji Itoh; Agato Murata; Satoshi Takahashi; Kiyoto Kamagata
Journal:  Nucleic Acids Res       Date:  2018-08-21       Impact factor: 16.971

Review 4.  Potential of rescue and reactivation of tumor suppressor p53 for cancer therapy.

Authors:  Emi Hibino; Hidekazu Hiroaki
Journal:  Biophys Rev       Date:  2022-01-11

Review 5.  Facilitated Diffusion Mechanisms in DNA Base Excision Repair and Transcriptional Activation.

Authors:  Alexandre Esadze; James T Stivers
Journal:  Chem Rev       Date:  2018-10-31       Impact factor: 60.622

6.  Structure-dependent recruitment and diffusion of guest proteins in liquid droplets of FUS.

Authors:  Kiyoto Kamagata; Nanako Iwaki; Saori Kanbayashi; Trishit Banerjee; Rika Chiba; Virginie Gaudon; Bertrand Castaing; Seiji Sakomoto
Journal:  Sci Rep       Date:  2022-05-02       Impact factor: 4.996

Review 7.  Recognition of Local DNA Structures by p53 Protein.

Authors:  Václav Brázda; Jan Coufal
Journal:  Int J Mol Sci       Date:  2017-02-10       Impact factor: 5.923

8.  Rational design using sequence information only produces a peptide that binds to the intrinsically disordered region of p53.

Authors:  Kiyoto Kamagata; Eriko Mano; Yuji Itoh; Takuro Wakamoto; Ryo Kitahara; Saori Kanbayashi; Hiroto Takahashi; Agato Murata; Tomoshi Kameda
Journal:  Sci Rep       Date:  2019-06-28       Impact factor: 4.379

9.  Transient binding and jumping dynamics of p53 along DNA revealed by sub-millisecond resolved single-molecule fluorescence tracking.

Authors:  Dwiky Rendra Graha Subekti; Agato Murata; Yuji Itoh; Satoshi Takahashi; Kiyoto Kamagata
Journal:  Sci Rep       Date:  2020-08-13       Impact factor: 4.379

Review 10.  The Rich World of p53 DNA Binding Targets: The Role of DNA Structure.

Authors:  Václav Brázda; Miroslav Fojta
Journal:  Int J Mol Sci       Date:  2019-11-09       Impact factor: 5.923

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