Evidence map›Paper›PMID 35619564›Full record

ArticleBiophysical journal2022

Crowding-induced membrane remodeling: Interplay of membrane tension, polymer density, architecture.

Sreeja Kutti Kandy, Ravi Radhakrishnan

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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 · 2025
    Article
  3. Article
  4. Review
  5. Making the cut: Multiscale simulation of membrane remodeling.Current opinion in structural biology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Modeling membrane reshaping driven by dynamic protein assemblies.Current opinion in structural biology · 2023
    Review
  11. Biophysics of cancer.Biophysical journal · 2022
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sreeja Kutti KandyDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania.
Ravi RadhakrishnanDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: rradhak@seas.upenn.edu.
University of Pennsylvania · US

Funding

A physical sciences approach to investigate the role of exosomes in metastatic progressionU01CA250044 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GUO, WEI, RADHAKRISHNAN, RAVI · 2021 to 2025
$3.9M
Regulation of cell, tissue, and nucleus function by mechanical properties of biopolymer networksR35GM136259 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Paul A Janmey · 2020 to 2026
$3.2M
NCI NIH HHS U01 CA250044NIGMS NIH HHS R35 GM136259
6 · The paper itself

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.

Indexed as

Hyaluronic AcidPolymersActinsCell MembraneLipidsMucinsActinsHyaluronic AcidLipidsMucinsPolymers

Identifiers

PMID35619564
PMCPMC9617136
OpenAlexW4281567381

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.