Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171799
Title: Kinetic control of shape deformations and membrane phase separation inside giant vesicles
Authors: Su, Wan-Chih
Ho, James Chin Shing
Gettel, Douglas L.
Rowland, Andrew T.
Keating, Christine D.
Parikh, Atul N.
Keywords: Engineering::Chemical engineering
Issue Date: 2023
Source: Su, W., Ho, J. C. S., Gettel, D. L., Rowland, A. T., Keating, C. D. & Parikh, A. N. (2023). Kinetic control of shape deformations and membrane phase separation inside giant vesicles. Nature Chemistry. https://dx.doi.org/10.1038/s41557-023-01267-1
Journal: Nature Chemistry
Abstract: A variety of cellular processes use liquid-liquid phase separation (LLPS) to create functional levels of organization, but the kinetic pathways by which it proceeds remain incompletely understood. Here in real time, we monitor the dynamics of LLPS of mixtures of segregatively phase-separating polymers inside all-synthetic, giant unilamellar vesicles. After dynamically triggering phase separation, we find that the ensuing relaxation-en route to the new equilibrium-is non-trivially modulated by a dynamic interplay between the coarsening of the evolving droplet phase and the interactive membrane boundary. The membrane boundary is preferentially wetted by one of the incipient phases, dynamically arresting the progression of coarsening and deforming the membrane. When the vesicles are composed of phase-separating mixtures of common lipids, LLPS within the vesicular interior becomes coupled to the membrane's compositional degrees of freedom, producing microphase-separated membrane textures. This coupling of bulk and surface phase-separation processes suggests a physical principle by which LLPS inside living cells might be dynamically regulated and communicated to the cellular boundaries.
URI: https://hdl.handle.net/10356/171799
ISSN: 1755-4330
DOI: 10.1038/s41557-023-01267-1
Research Centres: Singapore Centre for Environmental Life Sciences and Engineering 
Institute For Digital Molecular Analytics and Science
Rights: © 2023 The Author(s), under exclusive licence to Springer Nature Limited. All rights reserved
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCELSE Journal Articles

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