Evidence map›Paper›PMID 20349983›Full record

ArticleThe journal of physical chemistry. B2010

Sensitivity enhancement of separated local field experiments: application to membrane proteins.

T Gopinath, Raffaello Verardi, Nathaniel J Traaseth, Gianluigi Veglia

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2010. 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. Article
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  8. Spatial reorientation experiments for NMR of solids and partially oriented liquids.Progress in nuclear magnetic resonance spectroscopy · 2015
    Review
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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

4 authors.

T GopinathDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Raffaello Verardi
Nathaniel J Traaseth
Gianluigi Veglia

Funding

NMR Structural Analysis of Calcium Regulation in MuscleR01GM064742 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VEGLIA, GIANLUIGI · 2002 to 2019
$7.1M
Structural Basis Of Dilated CardiomyopathyR01GM072701 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2007 to 2015
$2.4M
Structural Basis of Heart Muscle Function and DiseaseK02HL080081 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI VEGLIA, GIANLUIGI · 2005 to 2009
$539k
NHLBI NIH HHS HL80081NHLBI NIH HHS K02 HL080081NIGMS NIH HHS GM072701NIGMS NIH HHS GM64742NIGMS NIH HHS R01 GM064742NIGMS NIH HHS R01 GM072701
6 · The paper itself

Abstract

Separated local field (SLF) experiments have been used for almost three decades to obtain structural information in solid-state NMR. These experiments resolve chemical shift anisotropy (CSA) from dipole-dipole interactions (dipolar couplings, DC) in isolated spin systems. Both CSA and DC data can be converted into orientational constraints to elucidate the secondary structure and topology of membrane proteins in oriented lipid bilayers. Here, we propose a new suite of sensitivity enhanced SLF pulse sequences to measure CSA and DC for aligned membrane proteins and liquid crystalline molecules that will decrease the time needed for data acquisition. We demonstrate the efficacy of these new sensitivity enhanced experiments using both a single crystal of N-acetyl leucine and a single pass membrane protein sarcolipin reconstituted in aligned lipid bicelles. These results lay the groundwork for the routine application of this methodology for studying the structure and topology of membrane proteins.

Indexed as

AlgorithmsLipid BilayersMagnetic Resonance SpectroscopyMembrane ProteinsSpin LabelsLipid BilayersMembrane ProteinsSpin Labels

Identifiers

PMID20349983
PMCPMC2861489

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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.