Evidence map›Paper›PMID 19047638›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Membrane shape as a reporter for applied forces.

Heun Jin Lee, Eric L Peterson, Rob Phillips, William S Klug, Paul A Wiggins

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Value of models for membrane budding.Current opinion in cell biology · 2021
    Review
  4. The role of traction in membrane curvature generation.Molecular biology of the cell · 2018
    Article
  5. Article
  6. Nanomechanical mechanism for lipid bilayer damage induced by carbon nanotubes confined in intracellular vesicles.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  7. Trans-membrane area asymmetry controls the shape of cellular organelles.International journal of molecular sciences · 2015
    Article
  8. 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.

Heun Jin LeeDepartment of Applied Physics, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
Eric L Peterson
Rob Phillips
William S Klug
Paul A Wiggins

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances have enabled 3-dimensional reconstructions of biological structures in vivo, ranging in size and complexity from single proteins to multicellular structures. In particular, tomography and confocal microscopy have been exploited to capture detailed 3-dimensional conformations of membranes in cellular processes ranging from viral budding and organelle maintenance to phagocytosis. Despite the wealth of membrane structures available, there is as yet no generic, quantitative method for their interpretation. We propose that by modeling these observed biomembrane shapes as fluid lipid bilayers in mechanical equilibrium, the externally applied forces as well as the pressure, tension, and spontaneous curvature can be computed directly from the shape alone. To illustrate the potential power of this technique, we apply an axial force with optical tweezers to vesicles and explicitly demonstrate that the applied force is equal to the force computed from the membrane conformation.

Indexed as

Models, BiologicalCytoplasmic VesiclesFluorescenceIntracellular MembranesLipid BilayersOptical TweezersPressureStress, MechanicalLipid Bilayers

Identifiers

PMID19047638
PMCPMC2614748

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.