Evidence map›Paper›PMID 26402708›Full record

ReviewMembranes2015

Structural Significance of Lipid Diversity as Studied by Small Angle Neutron and X-ray Scattering.

Norbert Kučerka, Frederick A Heberle, Jianjun Pan, John Katsaras

Abstract readReview
In one paragraph

Review in Membranes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  12. Molecular Approaches Reduce Saturates and EliminateFrontiers in plant science · 2022
    Review
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  14. The Exploration of theFrontiers in microbiology · 2022
    Article
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  19. Scaling relationships for the elastic moduli and viscosity of mixed lipid membranes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  20. 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

4 authors.

Norbert KučerkaFrank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna-Moscow Region, Russia. kucerka@fpharm.uniba.sk.
Frederick A HeberleBiology & Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. heberlefa@ornl.gov.
Jianjun PanDepartment of Physics, University of South Florida, Tampa, FL 33620, USA. panj@usf.edu.
John KatsarasBiology & Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA. katsarasj@ornl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We review recent developments in the rapidly growing field of membrane biophysics, with a focus on the structural properties of single lipid bilayers determined by different scattering techniques, namely neutron and X-ray scattering. The need for accurate lipid structural properties is emphasized by the sometimes conflicting results found in the literature, even in the case of the most studied lipid bilayers. Increasingly, accurate and detailed structural models require more experimental data, such as those from contrast varied neutron scattering and X-ray scattering experiments that are jointly refined with molecular dynamics simulations. This experimental and computational approach produces robust bilayer structural parameters that enable insights, for example, into the interplay between collective membrane properties and its components (e.g., hydrocarbon chain length and unsaturation, and lipid headgroup composition). From model studies such as these, one is better able to appreciate how a real biological membrane can be tuned by balancing the contributions from the lipid's different moieties (e.g., acyl chains, headgroups, backbones, etc.).

Indexed as

bilayerlipid arealipidomeneutron scatteringstructureX-ray scattering

Identifiers

PMID26402708
PMCPMC4584290

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.