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Methyl labeling and TROSY NMR spectroscopy of proteins expressed in the eukaryote Pichia pastoris

Overview of attention for article published in Journal of Biomolecular NMR, May 2015
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  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Methyl labeling and TROSY NMR spectroscopy of proteins expressed in the eukaryote Pichia pastoris
Published in
Journal of Biomolecular NMR, May 2015
DOI 10.1007/s10858-015-9939-2
Pubmed ID
Authors

Lindsay Clark, Jacob A. Zahm, Rustam Ali, Maciej Kukula, Liangqiao Bian, Steven M. Patrie, Kevin H. Gardner, Michael K. Rosen, Daniel M. Rosenbaum

Abstract

(13)C Methyl TROSY NMR spectroscopy has emerged as a powerful method for studying the dynamics of large systems such as macromolecular assemblies and membrane proteins. Specific (13)C labeling of aliphatic methyl groups and perdeuteration has been limited primarily to proteins expressed in E. coli, preventing studies of many eukaryotic proteins of physiological and biomedical significance. We demonstrate the feasibility of efficient (13)C isoleucine δ1-methyl labeling in a deuterated background in an established eukaryotic expression host, Pichia pastoris, and show that this method can be used to label the eukaryotic protein actin, which cannot be expressed in bacteria. This approach will enable NMR studies of previously intractable targets.

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The data shown below were collected from the profile of 1 X user 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 15 21%
Student > Master 10 14%
Professor 6 8%
Student > Bachelor 2 3%
Other 7 10%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 41%
Agricultural and Biological Sciences 16 23%
Chemistry 13 18%
Unspecified 1 1%
Physics and Astronomy 1 1%
Other 1 1%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 April 2016.
All research outputs
#15,692,595
of 23,318,744 outputs
Outputs from Journal of Biomolecular NMR
#386
of 618 outputs
Outputs of similar age
#158,455
of 268,215 outputs
Outputs of similar age from Journal of Biomolecular NMR
#2
of 13 outputs
Altmetric has tracked 23,318,744 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 618 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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 268,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.