Network models of chromatin structure.


Journal

Current opinion in genetics & development
ISSN: 1879-0380
Titre abrégé: Curr Opin Genet Dev
Pays: England
ID NLM: 9111375

Informations de publication

Date de publication:
06 2023
Historique:
received: 26 12 2022
revised: 13 04 2023
accepted: 14 04 2023
medline: 16 6 2023
pubmed: 28 5 2023
entrez: 28 5 2023
Statut: ppublish

Résumé

Increasing numbers of datasets and experimental assays that capture the organization of chromatin inside the nucleus warrant an effort to develop tools to visualize and analyze these structures. Alongside polymer physics or constraint-based modeling, network theory approaches to describe 3D epigenome organization have gained in popularity. Representing genomic regions as nodes in a network enables visualization of 1D epigenomics datasets in the context of chromatin structure maps, while network theory metrics can be used to describe 3D epigenome organization and dynamics. In this review, we summarize the most salient applications of network theory to the study of chromatin contact maps, demonstrating its potential in revealing epigenomic patterns and relating them to cellular phenotypes.

Identifiants

pubmed: 37245241
pii: S0959-437X(23)00031-X
doi: 10.1016/j.gde.2023.102051
pii:
doi:

Substances chimiques

Chromatin 0

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102051

Informations de copyright

Copyright © 2023 The Author. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Vera Pancaldi (V)

CRCT, Université de Toulouse, Inserm, CNRS, Université Toulouse III-Paul Sabatier, Centre de Recherches en Cancérologie de Toulouse, Toulouse, France. Electronic address: vera.pancaldi@inserm.fr.

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Classifications MeSH