Evidence map›Paper›PMID 37791360›Full record

ArticleJournal of applied crystallography2023

Small-angle scattering from flat bilayers containing correlated scattering length density inhomogeneities.

Francesco Spinozzi, Leandro R S Barbosa, Giacomo Corucci, Paolo Mariani, Rosangela Itri

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Francesco SpinozziDepartment of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy.ORCID https://orcid.org/0000-0002-0693-5582
Leandro R S BarbosaInstitute of Physics, University of São Paulo, São Paulo, Brazil.
Giacomo CorucciInstitut Laue-Langevin, Grenoble, France.
Paolo MarianiDepartment of Life and Environmental Sciences, Marche Polytechnic University, Ancona, Italy.ORCID https://orcid.org/0000-0003-4293-1009
Rosangela ItriInstitute of Physics, University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0001-9311-0804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Model lipid bilayers have been widely employed as a minimal system to investigate the structural properties of biological membranes by small-angle X-ray (SAXS) and neutron scattering (SANS) techniques. These have nanometre resolution and can give information regarding membrane thickness and scattering length densities (SLDs) of polar and apolar regions. However, biological membranes are complex systems containing different lipids and protein species, in which lipid domains can be dynamically assembled and disassembled. Therefore, SLD variations can occur within the biomembrane. In this work, a novel method has been developed to simulate SAXS and SANS profiles obtained from large unilamellar vesicles containing SLD inhomogeneities that are spatially correlated over the membrane surface. Such inhomogeneities are represented by cylindrical entities with equivalent SLDs. Stacking of bilayers is also included in the model, with no correlation between horizontal and vertical order. The model is applied to a lipid bilayer containing SLD inhomogeneities representing pores, lipid domains, and transmembrane, partially immersed and anchored proteins. It is demonstrated that all the structural information from the host lipid bilayer and from the SLD inhomogeneity can be consistently retrieved by a combined analysis of experimental SAXS and SANS data through the methodology proposed here.

Indexed as

domainslipid bilayersporesproteinsSANSSAXSscattering length density inhomogeneitiessmall-angle neutron scatteringsmall-angle X-ray scattering

Identifiers

PMID37791360
PMCPMC10543680

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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.