Evidence map›Paper›PMID 34480924›Full record

ArticleBiophysical journal2021

TOAC spin-labeled peptides tailored for DNP-NMR studies in lipid membrane environments.

Shiying Zhu, Ehsan Kachooei, Jeffrey R Harmer, Louise J Brown, Frances Separovic, Marc-Antoine Sani

Abstract read
In one paragraph

Article in Biophysical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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.

Shiying ZhuSchool of Chemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
Ehsan KachooeiDepartment of Molecular Sciences, Macquarie University, Sydney, New South Wales, Australia.
Jeffrey R HarmerCentre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia.
Louise J BrownDepartment of Molecular Sciences, Macquarie University, Sydney, New South Wales, Australia.
Frances SeparovicSchool of Chemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia.
Marc-Antoine SaniSchool of Chemistry, Bio21 Institute, University of Melbourne, Melbourne, Victoria, Australia. Electronic address: msani@unimelb.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The benefit of combining in-cell solid-state dynamic nuclear polarization (DNP) NMR and cryogenic temperatures is providing sufficient signal/noise and preservation of bacterial integrity via cryoprotection to enable in situ biophysical studies of antimicrobial peptides. The radical source required for DNP was delivered into cells by adding a nitroxide-tagged peptide based on the antimicrobial peptide maculatin 1.1 (Mac1). In this study, the structure, localization, and signal enhancement properties of a single (T-MacW) and double (T-T-MacW) TOAC (2,2,6,6-tetramethylpiperidine-N-oxyl-4-amino-4-carboxylic acid) spin-labeled Mac1 analogs were determined within micelles or lipid vesicles. The solution NMR and circular dichroism results showed that the spin-labeled peptides adopted helical structures in contact with micelles. The peptides behaved as an isolated radical source in the presence of multilamellar vesicles, and the electron paramagnetic resonance (EPR) electron-electron distance for the doubly spin-labeled peptide was ∼1 nm. The strongest paramagnetic relaxation enhancement (PRE) was observed for the lipid NMR signals near the glycerol-carbonyl backbone and was stronger for the doubly spin-labeled peptide. Molecular dynamics simulation of the T-T-MacW radical source in phospholipid bilayers supported the EPR and PRE observations while providing further structural insights. Overall, the T-T-MacW peptide achieved better

Indexed as

Cyclic N-OxidesPeptidesPhospholipidsSpin Labels2,2,6,6-tetramethylpiperidine-N-oxide-4-amino-4-carboxylic acidCyclic N-OxidesPeptidesPhospholipidsSpin Labels

Identifiers

PMID34480924
PMCPMC8553641

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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.