Evidence map›Paper›PMID 24587787›Full record

ArticleJournal of applied crystallography2014

Global small-angle X-ray scattering data analysis for multilamellar vesicles: the evolution of the scattering density profile model.

Peter Heftberger, Benjamin Kollmitzer, Frederick A Heberle, Jianjun Pan, Michael Rappolt, Heinz Amenitsch, Norbert Kučerka, John Katsaras, Georg Pabst

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  7. Article
  8. Antioxidants (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. IUCrJ · 2017
    Article
  17. Review
  18. Article
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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

9 authors.

Peter HeftbergerInstiute of Molecular Biosciences, Biophysics Division, University of Graz, Austria.
Benjamin KollmitzerInstiute of Molecular Biosciences, Biophysics Division, University of Graz, Austria.
Frederick A HeberleBiology and Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Jianjun PanBiology and Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA ; Department of Physics, University of South Florida, Tampa, FL 33620, USA.
Michael RappoltInstitute of Inorganic Chemistry, Graz University of Technology, Austria ; School of Food Science and Nutrition, University of Leeds, UK.
Heinz AmenitschInstitute of Inorganic Chemistry, Graz University of Technology, Austria.
Norbert KučerkaCanadian Neutron Beam Centre, National Research Council, Chalk River, ON, Canada.
John KatsarasBiology and Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA ; Joint Institute for Neutron Sciences, Oak Ridge, TN, USA ; Department of Physics and Astronomy, University of Tennessee, Knoxville, TN, USA ; Department of Physics, Brock University, St Catharines, ON, Canada.
Georg PabstInstiute of Molecular Biosciences, Biophysics Division, University of Graz, Austria.

Funding

Austrian Science Fund FWF P 24459
6 · The paper itself

Abstract

The highly successful scattering density profile (SDP) model, used to jointly analyze small-angle X-ray and neutron scattering data from unilamellar vesicles, has been adapted for use with data from fully hydrated, liquid crystalline multilamellar vesicles (MLVs). Using a genetic algorithm, this new method is capable of providing high-resolution structural information, as well as determining bilayer elastic bending fluctuations from standalone X-ray data. Structural parameters such as bilayer thickness and area per lipid were determined for a series of saturated and unsaturated lipids, as well as binary mixtures with cholesterol. The results are in good agreement with previously reported SDP data, which used both neutron and X-ray data. The inclusion of deuterated and non-deuterated MLV neutron data in the analysis improved the lipid backbone information but did not improve, within experimental error, the structural data regarding bilayer thickness and area per lipid.

Indexed as

genetic algorithmsliquid crystalline multilamellar vesiclesscattering density profile modelsmall-angle X-ray scattering

Identifiers

PMID24587787
PMCPMC3937811

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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.