Evidence map›Paper›PMID 24081650›Full record

ArticleBiomechanics and modeling in mechanobiology2014

Small scale membrane mechanics.

Padmini Rangamani, Ayelet Benjamini, Ashutosh Agrawal, Berend Smit, David J Steigmann, George Oster

Open access · greenAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2014. 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 21% 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, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The role of traction in membrane curvature generation.Molecular biology of the cell · 2018
    Article
  7. Systems biology of cellular membranes: a convergence with biophysics.Wiley interdisciplinary reviews. Systems biology and medicine · 2017
    Review
  8. Review
  9. Article
  10. The plasma membrane as a capacitor for energy and metabolism.American journal of physiology. Cell physiology · 2016
    Review
  11. Article
  12. Variable tilt on lipid membranes.Proceedings. Mathematical, physical, and engineering sciences · 2014
    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

6 authors at 3 institutions in 1 country.

Padmini RangamaniDepartment of Molecular and Cellular Biology, University of California, Berkeley, CA, 94720, USA.
Ayelet Benjamini
Ashutosh Agrawal
Berend Smit
David J Steigmann
George Oster
University of California, Berkeley · USLawrence Berkeley National Laboratory · USUniversity of Houston · US

Funding

Mathematical models of membrane biophysics and microbial locomotionR01GM104979 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RODERICK, GEORGE KARLSSON · 2012 to 2014
$538k
NIGMS NIH HHS 1R01GM104979-01NIGMS NIH HHS R01 GM104979
6 · The paper itself

Abstract

Large scale changes to lipid bilayer shapes are well represented by the Helfrich model. However, there are membrane processes that take place at smaller length scales that this model cannot address. In this work, we present a one-dimensional continuum model that captures the mechanics of the lipid bilayer membrane at the length scale of the lipids themselves. The model is developed using the Cosserat theory of surfaces with lipid orientation, or 'tilt', as the fundamental degree of freedom. The Helfrich model can be recovered as a special case when the curvatures are small and the lipid tilt is everywhere zero. We use the tilt model to study local membrane deformations in response to a protein inclusion. Parameter estimates and boundary conditions are obtained from a coarse-grained molecular model using dissipative particle dynamics (DPD) to capture the same phenomenon. The continuum model is able to reproduce the membrane bending, stretch and lipid tilt as seen in the DPD model. The lipid tilt angle relaxes to the bulk tilt angle within 5-6 nm from the protein inclusion. Importantly, for large tilt gradients induced by the proteins, the tilt energy contribution is larger than the bending energy contribution. Thus, the continuum model of tilt accurately captures behaviors at length scales shorter than the membrane thickness.

Indexed as

Models, TheoreticalBiomechanical PhenomenaCell MembraneComputer SimulationCrystallizationElasticityLipid BilayersLipidsMonte Carlo MethodProteinsLipid BilayersLipidsProteins

Identifiers

PMID24081650
PMCPMC4026334
OpenAlexW2148750665

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.