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Título: | Concentrated solutions of single-chain nanoparticles: A simple model for intrinsically disordered proteins under crowding conditions |
Autor: | Moreno Segurado, Ángel J. CSIC ORCID ; Lo Verso, Federica CSIC ORCID; Arbe, Arantxa CSIC ORCID; Pomposo, José A. CSIC ORCID; Colmenero de León, Juan CSIC ORCID | Fecha de publicación: | 2016 | Editor: | American Chemical Society | Citación: | Journal of Physical Chemistry Letters 7(5): 838-844 (2016) | Resumen: | By means of large-scale computer simulations and small-angle neutron scattering (SANS), we investigate solutions of single-chain nanoparticles (SCNPs), covering the whole concentration range from infinite dilution to melt density. The analysis of the conformational properties of the SCNPs reveals that these synthetic nano-objects share basic ingredients with intrinsically disordered proteins (IDPs), as topological polydispersity, generally sparse conformations, and locally compact domains. We investigate the role of the architecture of the SCNPs in their collapse behavior under macromolecular crowding. Unlike in the case of linear macromolecules, which experience the usual transition from self-avoiding to Gaussian random-walk conformations, crowding leads to collapsed conformations of SCNPs resembling those of crumpled globules. This behavior is already found at volume fractions (about 30%) that are characteristic of crowding in cellular environments. The simulation results are confirmed by the SANS experiments. Our results for SCNPs - a model system free of specific interactions - propose a general scenario for the effect of steric crowding on IDPs: collapse from sparse conformations at high dilution to crumpled globular conformations in cell environments. | Versión del editor: | http://dx.doi.org/10.1021/acs.jpclett.6b00144 | URI: | http://hdl.handle.net/10261/137266 | DOI: | 10.1021/acs.jpclett.6b00144 | Identificadores: | doi: 10.1021/acs.jpclett.6b00144 e-issn: 1948-7185 |
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Crowding Conditions.pdf | 436,12 kB | Adobe PDF | Visualizar/Abrir | |
SUPPORTING INFORMATION.pdf | 230,93 kB | Adobe PDF | Visualizar/Abrir |
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