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An economic approach to efficient isotope labeling in insect cells using homemade 15N-, 13C- and 2H-labeled yeast extracts

Overview of attention for article published in Journal of Biomolecular NMR, June 2015
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Title
An economic approach to efficient isotope labeling in insect cells using homemade 15N-, 13C- and 2H-labeled yeast extracts
Published in
Journal of Biomolecular NMR, June 2015
DOI 10.1007/s10858-015-9954-3
Pubmed ID
Authors

Christian Opitz, Shin Isogai, Stephan Grzesiek

Abstract

Heterologous expression of proteins in insect cells is frequently used for crystallographic structural studies due to the high yields even for challenging proteins requiring the eukaryotic protein processing capabilities of the host. However for NMR studies, the need for isotope labeling poses extreme challenges in eukaryotic hosts. Here, we describe a robust method to achieve uniform protein (15)N and (13)C labeling of up to 90 % in baculovirus-infected insect cells. The approach is based on the production of labeled yeast extract, which is subsequently supplemented to insect cell growth media. The method also allows deuteration at levels of >60 % without decrease in expression yield. The economic implementation of the labeling procedures into a standard structural biology laboratory environment is described in a step-by-step protocol. Applications are demonstrated for a variety of NMR experiments using the Abelson kinase domain, GFP, and the beta-1 adrenergic receptor as examples. Deuterated expression of the latter provides spectra of very high quality of a eukaryotic G-protein coupled receptor.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 29%
Researcher 15 24%
Professor 5 8%
Student > Bachelor 4 6%
Other 3 5%
Other 6 10%
Unknown 12 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 37%
Agricultural and Biological Sciences 16 25%
Chemistry 11 17%
Psychology 1 2%
Engineering 1 2%
Other 0 0%
Unknown 11 17%
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 14 June 2015.
All research outputs
#20,278,422
of 22,811,321 outputs
Outputs from Journal of Biomolecular NMR
#558
of 614 outputs
Outputs of similar age
#220,817
of 264,753 outputs
Outputs of similar age from Journal of Biomolecular NMR
#8
of 12 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.