Evidence map›Paper›PMID 35517660›Full record

ArticleRSC advances2019

Doubly spin-labeled nanodiscs to improve structural determination of membrane proteins by ESR.

Chieh-Chin Li, Chien-Lun Hung, Pei-Shan Yeh, Chi-En Li, Yun-Wei Chiang

Abstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Review
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.

Chieh-Chin LiDepartment of Chemistry, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University Hsinchu 30013 Taiwan ywchiang@gapp.nthu.edu.tw.ORCID https://orcid.org/0000-0003-1494-1664
Chien-Lun HungDepartment of Chemistry, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University Hsinchu 30013 Taiwan ywchiang@gapp.nthu.edu.tw.ORCID https://orcid.org/0000-0002-2546-1132
Pei-Shan YehDepartment of Chemistry, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University Hsinchu 30013 Taiwan ywchiang@gapp.nthu.edu.tw.
Chi-En LiDepartment of Chemistry, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University Hsinchu 30013 Taiwan ywchiang@gapp.nthu.edu.tw.
Yun-Wei ChiangDepartment of Chemistry, Frontier Research Center on Fundamental and Applied Sciences of Matters, National Tsing Hua University Hsinchu 30013 Taiwan ywchiang@gapp.nthu.edu.tw.ORCID https://orcid.org/0000-0002-2101-8918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulsed dipolar spectroscopy (PDS) is a powerful tool to explore conformational changes of membrane proteins (MPs). However, the MPs suffer from relatively weak dipolar signals due to their complex nature in membrane environments, which consequently reduces the interspin distance resolution obtainable by PDS. Here we report the use of nanodiscs (NDs) to improve the distance resolution. Two genetically engineered membrane scaffold protein mutants are introduced, each of which is shown to form double-labeled ND efficiently and with high homogeneity. The resultant interspin distance distribution is featured by a small distribution width, suggesting high resolution. When PDS is performed on a binary mixture of the double-labeled ND devoid of MPs and the un-labeled ND with incorporated double-labeled MPs, the overall amplitude of dipolar signals is increased, leading to a critical enhancement of the distance resolution. A theoretical foundation is provided to validate the analysis. With this approach, the determination of MP structures can be studied at high resolution in NDs.

Identifiers

PMID35517660
PMCPMC9062051

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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.