An Integrative Approach to the Study of Filamentous Oligomeric Assemblies, with Application to RecA - Sorbonne Université Accéder directement au contenu
Article Dans Une Revue PLoS ONE Année : 2015

An Integrative Approach to the Study of Filamentous Oligomeric Assemblies, with Application to RecA

Résumé

Oligomeric macromolecules in the cell self-organize into a wide variety of geometrical motifs such as helices, rings or linear filaments. The recombinase proteins involved in homologous recombination present many such assembly motifs. Here, we examine in particular the poly-morphic characteristics of RecA, the most studied member of the recombinase family, using an integrative approach that relates local modes of monomer/monomer association to the global architecture of their screw-type organization. In our approach, local modes of association are sampled via docking or Monte Carlo simulations. This enables shedding new light on fiber morphologies that may be adopted by the RecA protein. Two distinct RecA helical morphologies, the so-called " extended " and " compressed " forms, are known to play a role in homologous recombination. We investigate the variability within each form in terms of heli-cal parameters and steric accessibility. We also address possible helical discontinuities in RecA filaments due to multiple monomer-monomer association modes. By relating local interface organization to global filament morphology, the strategies developed here to study RecA self-assembly are particularly well suited to other DNA-binding proteins and to fila-mentous protein assemblies in general.
Fichier principal
Vignette du fichier
journal.pone.0116414.pdf (3.76 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-01230983 , version 1 (19-11-2015)

Licence

Paternité

Identifiants

Citer

Benjamin Boyer, Johann Ezelin, Pierre Poulain, Adrien Saladin, Martin Zacharias, et al.. An Integrative Approach to the Study of Filamentous Oligomeric Assemblies, with Application to RecA. PLoS ONE, 2015, 10 (3), pp.e0116414. ⟨10.1371/journal.pone.0116414⟩. ⟨hal-01230983⟩
169 Consultations
102 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More