Evidence map›Paper›PMID 28990386›Full record

ArticleJournal of the American Chemical Society2017

An Adaptable Phospholipid Membrane Mimetic System for Solution NMR Studies of Membrane Proteins.

Chih-Ta Henry Chien, Lukas R Helfinger, Mark J Bostock, Andras Solt, Yi Lei Tan, Daniel Nietlispach

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 49 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 2 countries.

Chih-Ta Henry ChienDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.
Lukas R HelfingerDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.
Mark J BostockDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.
Andras SoltDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.
Yi Lei TanDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.
Daniel NietlispachDepartment of Biochemistry, University of Cambridge , 80 Tennis Court Road, Cambridge CB2 1GA, U.K.ORCID 0000-0003-4364-9291
University of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K01983 X/1Biotechnology and Biological Sciences Research Council BB/K01983X/1
6 · The paper itself

Abstract

Based on the saposin-A (SapA) scaffold protein, we demonstrate the suitability of a size-adaptable phospholipid membrane-mimetic system for solution NMR studies of membrane proteins (MPs) under close-to-native conditions. The Salipro nanoparticle size can be tuned over a wide pH range by adjusting the saposin-to-lipid stoichiometry, enabling maintenance of sufficiently high amounts of phospholipid in the Salipro nanoparticle to mimic a realistic membrane environment while controlling the overall size to enable solution NMR for a range of MPs. Three representative MPs, including one G-protein-coupled receptor, were successfully incorporated into SapA-dimyristoylphosphatidylcholine nanoparticles and studied by solution NMR spectroscopy.

Indexed as

BiomimeticsMagnetic Resonance SpectroscopyMembranes, ArtificialDimyristoylphosphatidylcholineHydrogen-Ion ConcentrationMembrane ProteinsNanoparticlesPhospholipidsReceptors, G-Protein-CoupledSaposinsDimyristoylphosphatidylcholineMembrane ProteinsMembranes, ArtificialPhospholipidsReceptors, G-Protein-CoupledSaposins

Identifiers

PMID28990386
PMCPMC6109379
OpenAlexW2763550225

What OpenQuestion holds

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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.