ArticleBiophysical journal2022
Crowding-induced membrane remodeling: Interplay of membrane tension, polymer density, architecture.
Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 14 citations in OpenAlex.
- Glycocalyx-induced formation of membrane tubes.Biophysical journal · 2025Article
- Biophysical modeling of membrane curvature generation and curvature sensing by the glycocalyx.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Influence of the glycocalyx on the size and mechanical properties of plasma membrane-derived vesicles.Soft matter · 2025Article
- Effects of Macromolecular Crowding on the Structure and Dynamics of Biological Membranes.Sub-cellular biochemistry · 2025Review
- Making the cut: Multiscale simulation of membrane remodeling.Current opinion in structural biology · 2024Review
- Apical dehydration impairs the cystic fibrosis airway epithelium barrier via aLife science alliance · 2024Article
- Membranes get in shape: Biophysics of curving bilayers.Biophysical journal · 2024Article
- Free energy calculations for membrane morphological transformations and insights to physical biology and oncology.Methods in enzymology · 2024Article
- View from the Biological Property: Insight into the Functional Diversity and Complexity of the Gut Mucus.International journal of molecular sciences · 2023Review
- Modeling membrane reshaping driven by dynamic protein assemblies.Current opinion in structural biology · 2023Review
- Biophysics of cancer.Biophysical journal · 2022Article
- Data driven and biophysical insights into the regulation of trafficking vesicles by extracellular matrix stiffness.iScience · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The plasma membrane hosts a wide range of biomolecules, mainly proteins and carbohydrates, that mediate cellular interactions with its environment. The crowding of such biomolecules regulates cellular morphologies and cellular trafficking. Recent discoveries have shown that the structure and density of cell surface polymers and hence the signaling machinery change with the state of the cell, especially in cancer progression. The alterations in membrane-attached glycocalyx and glycosylation of proteins and lipids are common features of cancer cells. The overexpression of glycocalyx polymers, such as mucin and hyaluronan, strongly correlates with cancer metastasis. Here, we present a mesoscale biophysics-based model that accounts for the shape regulation of membranes by crowding of membrane-attached biopolymer-glycocalyx and actin networks. Our computational model is based on the dynamically triangulated Monte Carlo model for membranes and coarse-grained representations of polymer chains. The model allows us to investigate the crowding-induced shape transformations in cell membranes in a tension- and graft polymer density-dependent manner. Our results show that the number of membrane protrusions and their shape depend on membrane tension, with higher membrane tension inducing more tubular protrusions than the vesicular shapes formed at low tension at high surface coverage of polymers. The shape transformations occur above the threshold density predicted by the polymer brush theory, but this threshold also depends on the membrane tension. Increasing the size of the polymer, either by changing the length or by adding side chains, is shown to increase the crowding-induced curvature. The effect of crowding is more prominent for flexible polymers than for semiflexible rigid polymers. We also present an extension of the model that incorporates properties of the actin-like filament networks and demonstrate how tubular structures can be generated by biopolymer crowding on the cytosolic side of cell membranes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.