Evidence map›Paper›PMID 37746759›Full record

ArticleProtein science : a publication of the Protein Society2023

Investigating protein-membrane interactions using native reverse micelles constructed from naturally sourced lipids.

Sara H Walters, Abdul J Castillo, Angela M Develin, Courtney L Labrecque, Yun Qu, Brian Fuglestad

Open access · hybridAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Sara H WaltersDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.
Abdul J CastilloDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.
Angela M DevelinDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.
Courtney L LabrecqueDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.
Yun QuDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.
Brian FuglestadDepartment of Chemistry, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0001-8304-8269
Virginia Commonwealth University · US

Funding

Peripheral membrane proteins and disease: tool development, basic investigations, and inhibitor designR35GM147221 · NIGMS · WISTAR INSTITUTE · PI Brian Fuglestad · 2022 to 2026
$2.1M
NIGMS NIH HHS R35 GM147221
6 · The paper itself

Abstract

Advancing the study of membrane associated proteins and their interactions is dependent on accurate membrane models. While a variety of membrane models for high-resolution membrane protein study exist, most do not reflect the diversity of lipids found within biological membranes. In this work, we have developed native reverse micelles (nRMs) formulated with lipids from multiple eukaryotic sources, which encapsulate proteins and enable them to interact as they would with a biological membrane. Diverse formulations of nRMs using soy lecithin, porcine brain lipids, or bovine heart lipids combined with n-dodecylphosphocholine were developed and characterized by dynamic light scattering and

Indexed as

Membrane ProteinsMicellesAnimalsCattleCell MembraneLipidsMagnetic Resonance SpectroscopySwineLipidsMembrane ProteinsMicellesfatty acid binding protein 4glutathione peroxidase 4membrane modelsperipheral membrane proteinsphosphatidylethanolamine-binding protein 1protein-membrane interactionsprotein NMRreverse micellesubiquitin

Identifiers

PMID37746759
PMCPMC10578115
OpenAlexW4387002561

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.