Evidence map›Paper›PMID 26500377›Full record

ArticleMolecular physics2012

Mesoscale simulations of curvature-inducing protein partitioning on lipid bilayer membranes in the presence of mean curvature fields.

Jin Liu, Richard Tourdot, Vyas Ramanan, Neeraj J Agrawal, Ravi Radhakrishanan

Abstract read
In one paragraph

Article in Molecular physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Biophysics of membrane curvature remodeling at molecular and mesoscopic lengthscales.Journal of physics. Condensed matter : an Institute of Physics journal · 2018
    Article
  11. Thermodynamic free energy methods to investigate shape transitions in bilayer membranes.International journal of advances in engineering sciences and applied mathematics · 2016
    Article
  12. Article
  13. Article
  14. Defining the free-energy landscape of curvature-inducing proteins on membrane bilayers.Physical review. E, Statistical, nonlinear, and soft matter physics · 2014
    Article
  15. Article
  16. Review
  17. Article
  18. 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

5 authors.

Jin LiuDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Richard TourdotDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Vyas RamananDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Neeraj J AgrawalDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ravi RadhakrishananDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA ; Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Funding

Targeted Microcarrier Design and OptimizationR01EB006818 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI ECKMANN, DAVID M · 2008 to 2016
$3.3M
Targeting Carriers with Controlled Geometry to EndotheliumR01HL087036 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI MUZYKANTOV, VLADIMIR R · 2008 to 2012
$2.0M
NHLBI NIH HHS R01 HL087036NIBIB NIH HHS R01 EB006818
6 · The paper itself

Abstract

The membrane-surface migration of curvature-inducing proteins in response to membrane curvature gradients has been investigated using Monte Carlo simulations of a curvilinear membrane model based on the Helfrich Hamiltonian. Consistent with theoretical and experimental data, we find the proteins that generate curvature can also sense the background membrane curvature, wherein they preferentially partition to the high curvature regions. The partitioning strength depends linearly on local membrane curvature and the slope (or the coupling constant) of the partitioning probability versus mean curvature depends on the membrane bending rigidity and instantaneous curvature field caused by different proteins. Our simulation study allows us to quantitatively characterize and identify the important factors affecting the coupling constant (slope), which may be difficult to determine in experiments. Furthermore, the membrane model is used to study budding of vesicles where it is found that in order to stabilize a mature vesicle with a stable 'neck-region' (or stable membrane overhangs), the area (extent) of the intrinsic curvature region needs to exceed a threshold-critical value. The migration and partitioning of curvature-inducing proteins in a budding vesicle with a stable neck (with a characteristic negative value of the Gaussian curvature) is investigated.

Indexed as

Bin Amphysin Rvs (BAR) domain proteinsclathrin-mediated endocytosis (CME)curvature inducing proteinscurvilinear modelepsin N-terminal homology (ENTH) domain proteinsHelfrich HamiltonianMonte Carlo simulations

Identifiers

PMID26500377
PMCPMC4613783

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Registered trials

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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.