Evidence map›Paper›PMID 27747212›Full record

ReviewFrontiers in cell and developmental biology2016

There Is No Simple Model of the Plasma Membrane Organization.

Jorge Bernardino de la Serna, Gerhard J Schütz, Christian Eggeling, Marek Cebecauer

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Spatial Deconstruction of the Plasma Membrane.Journal of the American Chemical Society · 2026
    Article
  3. Review
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  6. A lipid atlas of the human kidney.Science advances · 2025
    Article
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  9. Review
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  12. Review
  13. Review
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  15. Article
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  18. Article
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12 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.

Jorge Bernardino de la SernaScience and Technology Facilities Council, Rutherford Appleton Laboratory, Central Laser Facility, Research Complex at Harwell Harwell, UK.
Gerhard J SchützInstitute of Applied Physics, Technische Universität Wien Wien, Austria.
Christian EggelingMRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, University of Oxford Headley Way, UK.
Marek CebecauerDepartment of Biophysical Chemistry, J.Heyrovsky Institute of Physical Chemistry, Czech Academy of Sciences Prague, Czech Republic.

Funding

Austrian Science Fund FWF P 25730Austrian Science Fund FWF P 26337Medical Research Council G0902418Medical Research Council MC_EX_MR/K015591/1Medical Research Council MC_UU_12010/9Medical Research Council MR/K01577X/1
6 · The paper itself

Abstract

Ever since technologies enabled the characterization of eukaryotic plasma membranes, heterogeneities in the distributions of its constituents were observed. Over the years this led to the proposal of various models describing the plasma membrane organization such as lipid shells, picket-and-fences, lipid rafts, or protein islands, as addressed in numerous publications and reviews. Instead of emphasizing on one model we in this review give a brief overview over current models and highlight how current experimental work in one or the other way do not support the existence of a single overarching model. Instead, we highlight the vast variety of membrane properties and components, their influences and impacts. We believe that highlighting such controversial discoveries will stimulate unbiased research on plasma membrane organization and functionality, leading to a better understanding of this essential cellular structure.

Indexed as

heterogenous distributionmembrane organization modelsmembrane physical propertiesnanodomainsplasma membrane

Identifiers

PMID27747212
PMCPMC5040727

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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.