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On the use of Pichia pastoris for isotopic labeling of human GPCRs for NMR studies

Overview of attention for article published in Journal of Biomolecular NMR, August 2018
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7 X users

Citations

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33 Dimensions

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38 Mendeley
Title
On the use of Pichia pastoris for isotopic labeling of human GPCRs for NMR studies
Published in
Journal of Biomolecular NMR, August 2018
DOI 10.1007/s10858-018-0204-3
Pubmed ID
Authors

Lindsay Clark, Igor Dikiy, Daniel M. Rosenbaum, Kevin H. Gardner

Abstract

NMR studies of human integral membrane proteins provide unique opportunities to probe structure and dynamics at specific locations and on multiple timescales, often with significant implications for disease mechanism and drug development. Since membrane proteins such as G protein-coupled receptors (GPCRs) are highly dynamic and regulated by ligands or other perturbations, NMR methods are potentially well suited to answer basic functional questions (such as addressing the biophysical basis of ligand efficacy) as well as guiding applications (such as novel ligand design). However, such studies on eukaryotic membrane proteins have often been limited by the inability to incorporate optimal isotopic labels for NMR methods developed for large protein/lipid complexes, including methyl TROSY. We review the different expression systems for production of isotopically labeled membrane proteins and highlight the use of the yeast Pichia pastoris to achieve perdeuteration and 13C methyl probe incorporation within isoleucine sidechains. We further illustrate the use of this method for labeling of several biomedically significant GPCRs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Ph. D. Student 5 13%
Student > Master 4 11%
Professor 3 8%
Student > Doctoral Student 2 5%
Other 4 11%
Unknown 10 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 37%
Agricultural and Biological Sciences 5 13%
Chemistry 3 8%
Business, Management and Accounting 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 November 2018.
All research outputs
#6,637,965
of 25,584,565 outputs
Outputs from Journal of Biomolecular NMR
#96
of 563 outputs
Outputs of similar age
#105,834
of 342,031 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 5 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 563 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them