Evidence map›Paper›PMID 21441593›Full record

ReviewCold Spring Harbor perspectives in biology2011

Phase separation in lipid membranes.

Frederick A Heberle, Gerald W Feigenson

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. The Evolution of Lipids from Solvents to Substrates.Annual review of biophysics · 2026
    Review
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  13. Liquid Hopfield model: Retrieval and localization in multicomponent liquid mixtures.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
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  16. Review
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  19. Article
  20. Sorting of complex sphingolipids within the cellular endomembrane systems.Frontiers in cell and developmental biology · 2024
    Review

57 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

2 authors.

Frederick A HeberleDepartment of Molecular Biology and Genetics, Field of Biophysics, Cornell University, Ithaca, New York 14853, USA.
Gerald W Feigenson

Funding

TRAINING IN MOLECULAR PHYSICS OF BIOLOGICAL SYSTEMST32GM008267 · NIGMS · CORNELL UNIVERSITY ITHACA · PI WANG, MICHELLE D. · 1988 to 2021
$9.6M
Membrane Control of Protein-Protein Contact. Simulation Based on Phase DiagramsR01GM077198 · NIGMS · CORNELL UNIVERSITY · PI FEIGENSON, GERALD WILLIAM · 2007 to 2010
$1.6M
NIGMS NIH HHS 1-T32-GM08267NIGMS NIH HHS R01 GM077198NIGMS NIH HHS T32 GM008267PHS HHS 0842839
6 · The paper itself

Abstract

Cell membranes show complex behavior, in part because of the large number of different components that interact with each other in different ways. One aspect of this complex behavior is lateral organization of components on a range of spatial scales. We found that lipid-only mixtures can model the range of size scales, from approximately 2 nm up to microns. Furthermore, the size of compositional heterogeneities can be controlled entirely by lipid composition for mixtures such as 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC)/1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC)/1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC)/cholesterol or sphingomyelin (SM)/DOPC/POPC/cholesterol. In one region of special interest, because of its connection to cell membrane rafts, nanometer-scale domains of liquid-disordered phase and liquid-ordered phase coexist over a wide range of compositions.

Indexed as

Cell MembraneLipid MetabolismLipidsLipids

Identifiers

PMID21441593
PMCPMC3062215

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.