Literature DB >> 31151739

Nucleosome Crowding in Chromatin Slows the Diffusion but Can Promote Target Search of Proteins.

Ryo Kanada1, Tsuyoshi Terakawa2, Hiroo Kenzaki3, Shoji Takada4.   

Abstract

Dynamics of nuclear proteins in crowded chromatin has only been poorly understood. Here, we address the diffusion, target search, and structural dynamics of three proteins in a model chromatin using coarse-grained molecular simulations run on the K computer. We prepared two structures of chromatin made of 20 nucleosomes with different nucleosome densities and investigated dynamics of two transcription factors, HMGB1 and p53, and one signaling protein, ERK, embedded in the chromatin. We found fast and normal diffusion of the nuclear proteins in the low-density chromatins and slow and subdiffusional movements in the high-density chromatin. The diffusion of the largest transcription factor, p53, is slowed by high-density chromatin most markedly. The on rates and off rates for DNA binding are increased and decreased, respectively, in the high-density chromatin. To our surprise, the DNA sequence search was faster in chromatin with high nucleosome density, though the diffusion is slower. We also found that the three nuclear proteins preferred to bind on the linker DNA and the entry and exit regions of nucleosomal DNA. In addition to these regions, HMGB1 and p53 also bound to the dyad.
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31151739      PMCID: PMC6588829          DOI: 10.1016/j.bpj.2019.05.007

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  60 in total

1.  Computer simulation of the 30-nanometer chromatin fiber.

Authors:  Gero Wedemann; Jörg Langowski
Journal:  Biophys J       Date:  2002-06       Impact factor: 4.033

2.  p53 contains large unstructured regions in its native state.

Authors:  Stefan Bell; Christian Klein; Lin Müller; Silke Hansen; Johannes Buchner
Journal:  J Mol Biol       Date:  2002-10-04       Impact factor: 5.469

3.  High-affinity binding of tumor-suppressor protein p53 and HMGB1 to hemicatenated DNA loops.

Authors:  Michal Stros; Eva Muselíková-Polanská; Sárka Pospísilová; François Strauss
Journal:  Biochemistry       Date:  2004-06-08       Impact factor: 3.162

4.  Regulation of DNA binding of p53 by its C-terminal domain.

Authors:  Richard L Weinberg; Stefan M V Freund; Dmitry B Veprintsev; Mark Bycroft; Alan R Fersht
Journal:  J Mol Biol       Date:  2004-09-17       Impact factor: 5.469

5.  p53 linear diffusion along DNA requires its C terminus.

Authors:  Kristine McKinney; Melissa Mattia; Vanesa Gottifredi; Carol Prives
Journal:  Mol Cell       Date:  2004-11-05       Impact factor: 17.970

6.  X-ray structure of a tetranucleosome and its implications for the chromatin fibre.

Authors:  Thomas Schalch; Sylwia Duda; David F Sargent; Timothy J Richmond
Journal:  Nature       Date:  2005-07-07       Impact factor: 49.962

7.  Coarse-grained force field for the nucleosome from self-consistent multiscaling.

Authors:  Karine Voltz; Joanna Trylska; Valentina Tozzini; Vandana Kurkal-Siebert; Jörg Langowski; Jeremy Smith
Journal:  J Comput Chem       Date:  2008-07-15       Impact factor: 3.376

8.  Capturing chromosome conformation.

Authors:  Job Dekker; Karsten Rippe; Martijn Dekker; Nancy Kleckner
Journal:  Science       Date:  2002-02-15       Impact factor: 47.728

Review 9.  Structural biology of the tumor suppressor p53.

Authors:  Andreas C Joerger; Alan R Fersht
Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

Review 10.  High-mobility group box 1 (HMGB1) protein at the crossroads between innate and adaptive immunity.

Authors:  Marco E Bianchi; Angelo A Manfredi
Journal:  Immunol Rev       Date:  2007-12       Impact factor: 12.988

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  8 in total

Review 1.  Protein assembly and crowding simulations.

Authors:  Lim Heo; Yuji Sugita; Michael Feig
Journal:  Curr Opin Struct Biol       Date:  2022-02-23       Impact factor: 6.809

2.  Coarse-grained molecular dynamics simulations of base-pair mismatch recognition protein MutS sliding along DNA.

Authors:  Keisuke Inoue; Shoji Takada; Tsuyoshi Terakawa
Journal:  Biophys Physicobiol       Date:  2022-04-14

3.  Dynamic Autoinhibition of the HMGB1 Protein via Electrostatic Fuzzy Interactions of Intrinsically Disordered Regions.

Authors:  Xi Wang; Harry M Greenblatt; Lavi S Bigman; Binhan Yu; Channing C Pletka; Yaakov Levy; Junji Iwahara
Journal:  J Mol Biol       Date:  2021-06-25       Impact factor: 6.151

Review 4.  How p53 Molecules Solve the Target DNA Search Problem: A Review.

Authors:  Kiyoto Kamagata; Yuji Itoh; Dwiky Rendra Graha Subekti
Journal:  Int J Mol Sci       Date:  2020-02-04       Impact factor: 5.923

Review 5.  Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications.

Authors:  Junji Iwahara; Anatoly B Kolomeisky
Journal:  Biophys Chem       Date:  2020-12-10       Impact factor: 2.352

6.  Linker DNA and histone contributions in nucleosome binding by p53.

Authors:  Masahiro Nishimura; Yasuhiro Arimura; Kayo Nozawa; Hitoshi Kurumizaka
Journal:  J Biochem       Date:  2020-12-26       Impact factor: 3.387

7.  Multiscale modeling of genome organization with maximum entropy optimization.

Authors:  Xingcheng Lin; Yifeng Qi; Andrew P Latham; Bin Zhang
Journal:  J Chem Phys       Date:  2021-07-07       Impact factor: 3.488

8.  Exploring Successful Parameter Region for Coarse-Grained Simulation of Biomolecules by Bayesian Optimization and Active Learning.

Authors:  Ryo Kanada; Atsushi Tokuhisa; Koji Tsuda; Yasushi Okuno; Kei Terayama
Journal:  Biomolecules       Date:  2020-03-21
  8 in total

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