Evidence map›Paper›PMID 31561242›Full record

ArticlePhysical biology2019

Emergent membrane morphologies in relaxed and tense membranes in presence of reversible adhesive pinning interactions.

Sreeja Kutti Kandy, Ravi Radhakrishnan

Abstract read
In one paragraph

Article in Physical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Membrane signalosome: where biophysics meets systems biology.Current opinion in systems biology · 2021
    Article
  6. Review
  7. 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.

Sreeja Kutti KandyDepartment of Chemical and Biomolecular engineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Ravi RadhakrishnanDepartment of Chemical and Biomolecular engineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0003-0686-2851

Funding

PSOC@Penn Education and OutreachU54CA193417 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DISCHER, DENNIS E. · 2015 to 2020
$10.5M
A plasticity and reprogramming paradigm for therapy resistance at the single cell levelU01CA227550 · NCI · UNIVERSITY OF PENNSYLVANIA · PI RADHAKRISHNAN, RAVI, RAJ, ARJUN · 2018 to 2022
$3.3M
Spatial control of actin assembly by phosphoinositidesR01GM111942 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JANMEY, PAUL A · 2015 to 2018
$1.8M
NCI NIH HHS U01 CA227550NCI NIH HHS U54 CA193417NIGMS NIH HHS R01 GM111942
6 · The paper itself

Abstract

The morphologies of cell membranes, and specifically the local curvature distributions are determined either by its intrinsic components such as lipids and membrane-associated proteins or by the adhesion forces due to membrane interactions with the cytoskeleton, extracellular matrix (ECM) and other cells in the tissue, as well as physical variables such as membrane and frame tensions. We present a computational analysis for a model of pinned membranes based on the dynamically triangulated Monte Carlo (MC) model for membranes. We show that membrane adhesion to ECM or a substrate promotes curvature generation on cell membranes, and this process depends on the excess area, or equivalently membrane tension, and the density of adhesion sites. This biophysics based model predicts adhesion induced biogenesis of microvesicles in cell membranes. For a moderate density of adhesion sites and high excess membrane area, an increase in membrane tension can result in the formation of microvesicles and tubules on the membrane. We also demonstrate the significance of intrinsically curved proteins in promoting vesiculation on pinned membranes. The results presented here are relevant to the understanding of microvesicle biogenesis and curved membrane topographies due to physical factors such as substrate stiffness and ECM interactions.

Indexed as

Models, BiologicalBiophysical PhenomenaCell AdhesionCell MembraneMonte Carlo Method

Identifiers

PMID31561242
PMCPMC6830734

What OpenQuestion holds

Textmetadata
LicenceTDM
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.