Titre :

Histone mark recognition controls nucleosome translocation via a kinetic proofreading mechanism: Confronting theory and high-throughput experiments

Auteur(s) :

Blossey, Ralf [Auteur]
Unité de Glycobiologie Structurale et Fonctionnelle - UMR 8576 [UGSF]
Schiessel, Helmut [Auteur]

Titre de la revue :

Physical Review E

Nom court de la revue :

Phys. Rev. E

Numéro :

99

Éditeur :

American Physical Society (APS)

Date de publication :

2019-06-10

Discipline(s) HAL :

Sciences du Vivant [q-bio]
Chimie/Chimie théorique et/ou physique

Résumé en anglais : [en]

Chromatin remodelers are multidomain enzymatic motor complexes that displace nucleosomes along DNA and hence “remodel chromatin structure,” i.e., they dynamically reorganize nucleosome positions in both gene activation and ...
Lire la suite >Chromatin remodelers are multidomain enzymatic motor complexes that displace nucleosomes along DNA and hence “remodel chromatin structure,” i.e., they dynamically reorganize nucleosome positions in both gene activation and gene repression. Recently, experimental insights from structural biology methods and remodeling assays have substantially advanced the understanding of these key chromatin components. Here we confront the kinetic proofreading scenario of chromatin remodeling, which proposes a mechanical link between histone residue modifications and the ATP-dependent action of remodelers, with recent experiments. We show that recent high-throughput data on nucleosome libraries assayed with remodelers from the Imitation Switch family are in accord with our earlier predictions of the kinetic proofreading scenario. We make suggestions for experimentally verifiable predictions of the kinetic proofreading scenarios for remodelers from other families.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CNRS

Collections :

• Unité de Glycobiologie Structurale et Fonctionnelle (UGSF) - UMR 8576

Équipe(s) de recherche :

Computational Molecular Systems Biology

Date de dépôt :

2021-01-04T10:30:10Z
2021-01-06T14:07:06Z