Alessandro Gulotta, Saskia Bucciarelli, Felix Roosen-Runge, Olaf Holderer, Peter Schurtenberger, Anna Stradner
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Testing mixing rules for structural and dynamical quantities in multi-component crowded protein solutions.
Crowding effects significantly influence the phase behavior and the structural and dynamic properties of the concentrated protein mixtures present in the cytoplasm of cells or in the blood serum. This poses enormous difficulties for our theoretical understanding and our ability to predict the behavior of these systems. While the use of course grained colloid-inspired models allows us to reproduce the key physical solution properties of concentrated monodisperse solutions of individual proteins, we lack corresponding theories for complex polydisperse mixtures. Here, we test the applicability of simple mixing rules in order to predict solution properties of protein mixtures. We use binary mixtures of the well-characterized bovine eye lens proteins α and γB crystallin as model systems. Combining microrheology with static and dynamic scattering techniques and observations of the phase diagram for liquid-liquid phase separation, we show that reasonably accurate descriptions are possible for macroscopic and mesoscopic signatures, while information on the length scale of the individual protein size requires more information on cross-component interaction.
期刊介绍:
APL Bioengineering is devoted to research at the intersection of biology, physics, and engineering. The journal publishes high-impact manuscripts specific to the understanding and advancement of physics and engineering of biological systems. APL Bioengineering is the new home for the bioengineering and biomedical research communities.
APL Bioengineering publishes original research articles, reviews, and perspectives. Topical coverage includes:
-Biofabrication and Bioprinting
-Biomedical Materials, Sensors, and Imaging
-Engineered Living Systems
-Cell and Tissue Engineering
-Regenerative Medicine
-Molecular, Cell, and Tissue Biomechanics
-Systems Biology and Computational Biology