Evidence map›Paper›PMID 21219150›Full record

ReviewAnnual review of physical chemistry2011

Thermodynamics and mechanics of membrane curvature generation and sensing by proteins and lipids.

Tobias Baumgart, Benjamin R Capraro, Chen Zhu, Sovan L Das

Abstract readReview
In one paragraph

Review in Annual review of physical chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers.

0numbers the graph read from it
0cells of the map it votes in
158citing 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

158 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Synthetic Lipid Biology.Chemical reviews · 2025
    Review
  9. 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
  10. Article
  11. Article
  12. Article
  13. Factors Promoting Lipopolysaccharide Uptake by Synthetic Lipid Droplets.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

98 more citing papers are in PubMed but not listed here.

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

4 authors.

Tobias BaumgartDepartment of Chemistry, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. baumgart@sas.upenn.edu
Benjamin R Capraro
Chen Zhu
Sovan L Das

Funding

STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008275 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WAND, A. JOSHUA · 1988 to 2018
$6.0M
NIGMS NIH HHS T32 GM008275
6 · The paper itself

Abstract

Research investigating lipid membrane curvature generation and sensing is a rapidly developing frontier in membrane physical chemistry and biophysics. The fast recent progress is based on the discovery of a plethora of proteins involved in coupling membrane shape to cellular membrane function, the design of new quantitative experimental techniques to study aspects of membrane curvature, and the development of analytical theories and simulation techniques that allow a mechanistic interpretation of quantitative measurements. The present review first provides an overview of important classes of membrane proteins for which function is coupled to membrane curvature. We then survey several mechanisms that are assumed to underlie membrane curvature sensing and generation. Finally, we discuss relatively simple thermodynamic/mechanical models that allow quantitative interpretation of experimental observations.

Indexed as

Membrane FluidityModels, MolecularThermodynamicsCell MembraneHydrophobic and Hydrophilic InteractionsMechanicsMembrane LipidsMembrane ProteinsMembrane LipidsMembrane Proteins

Identifiers

PMID21219150
PMCPMC4205088

What OpenQuestion holds

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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.