Lipid vesicle pools studied by passive X-ray microrheology.
Journal
The European physical journal. E, Soft matter
ISSN: 1292-895X
Titre abrégé: Eur Phys J E Soft Matter
Pays: France
ID NLM: 101126530
Informations de publication
Date de publication:
07 Dec 2023
07 Dec 2023
Historique:
received:
04
08
2023
accepted:
07
11
2023
medline:
7
12
2023
pubmed:
7
12
2023
entrez:
7
12
2023
Statut:
epublish
Résumé
Vesicle pools can form by attractive interaction in a solution, mediated by proteins or divalent ions such as calcium. The pools, which are alternatively also denoted as vesicle clusters, form by liquid-liquid phase separation (LLPS) from an initially homogeneous solution. Due to the short range liquid-like order of vesicles in the pool or cluster, the vesicle-rich phase can also be regarded as a condensate, and one would like to better understand not only the structure of these systems, but also their dynamics. The diffusion of vesicles, in particular, is expected to change when vesicles are arrested in a pool. Here we investigate whether passive microrheology based on X-ray photon correlation spectroscopy (XPCS) is a suitable tool to study model systems of artificial lipid vesicles exhibiting LLPS, and more generally also other heterogeneous biomolecular fluids. We show that by adding highly scattering tracer particles to the solution, valuable information on the single vesicle as well as collective dynamics can be inferred. While the correlation functions reveal freely diffusing tracer particles in solutions at low CaCl[Formula: see text] concentrations, the relaxation rate [Formula: see text] shows a nonlinear dependence on [Formula: see text] at a higher concentration of around 8 mM CaCl[Formula: see text], characterised by two linear regimes with a broad cross-over. We explain this finding based on arrested diffusion in percolating vesicle clusters.
Identifiants
pubmed: 38060069
doi: 10.1140/epje/s10189-023-00375-7
pii: 10.1140/epje/s10189-023-00375-7
pmc: PMC10703982
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
123Subventions
Organisme : Deutsche Forschungsgemeinschaft
ID : SFB1286/A2
Organisme : Deutsche Forschungsgemeinschaft
ID : SFB1456/C3
Informations de copyright
© 2023. The Author(s).
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