Multiscale modelling of the extracellular matrix.

Basement membrane CG, coarse-grained Cryo-EM, cryogenic electron microscopy DOF, degrees of freedom ECM, extracellular matrix EGF, epidermal growth factor Extracellular matrix FEM, finite element method MD, molecular dynamics Mesoscopic scale Modelling NC, non-collagenous NMR, nuclear magnetic resonance Rigid bodies SAXS, small-angle X-ray scattering Simulation

Journal

Matrix biology plus
ISSN: 2590-0285
Titre abrégé: Matrix Biol Plus
Pays: Netherlands
ID NLM: 101775320

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 19 07 2021
revised: 06 12 2021
accepted: 07 12 2021
entrez: 24 1 2022
pubmed: 25 1 2022
medline: 25 1 2022
Statut: epublish

Résumé

The extracellular matrix is a complex three-dimensional network of molecules that provides cells with a complex microenvironment. The major constituents of the extracellular matrix such as collagen, elastin and associated proteins form supramolecular assemblies contributing to its physicochemical properties and organization. The structure of proteins and their supramolecular assemblies such as fibrils have been studied at the atomic level (e.g., by X-ray crystallography, Nuclear Magnetic Resonance and cryo-Electron Microscopy) or at the microscopic scale. However, many protein complexes are too large to be studied at the atomic level and too small to be studied by microscopy. Most extracellular matrix components fall into this intermediate scale, so-called the mesoscopic scale, preventing their detailed characterization. Simulation and modelling are some of the few powerful and promising approaches that can deepen our understanding of mesoscale systems. We have developed a set of modelling tools to study the self-organization of the extracellular matrix and large motion of macromolecules at the mesoscale level by taking advantage of the dynamics of articulated rigid bodies as a mean to study a larger range of motions at the cost of atomic resolution.

Identifiants

pubmed: 35072037
doi: 10.1016/j.mbplus.2021.100096
pii: S2590-0285(21)00040-5
pmc: PMC8763633
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100096

Informations de copyright

© 2021 The Author(s).

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Hua Wong (H)

Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France.

Jean-Marc Crowet (JM)

Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France.

Manuel Dauchez (M)

Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France.

Sylvie Ricard-Blum (S)

Univ. Lyon, University Claude Bernard Lyon 1, ICBMS, UMR 5246 CNRS, 69622 Villeurbanne Cedex, France.

Stéphanie Baud (S)

Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France.
Université de Reims Champagne Ardenne, Plateau de Modélisation Moléculaire Multi-Echelle (P3M), Maison de la Simulation de Champagne-Ardenne (MaSCA), 51097 Reims, France.

Nicolas Belloy (N)

Université de Reims Champagne Ardenne, CNRS, MEDyC UMR 7369, 51097 Reims, France.
Université de Reims Champagne Ardenne, Plateau de Modélisation Moléculaire Multi-Echelle (P3M), Maison de la Simulation de Champagne-Ardenne (MaSCA), 51097 Reims, France.

Classifications MeSH