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Exploiting E. coli auxotrophs for leucine, valine, and threonine specific methyl labeling of large proteins for NMR applications

Overview of attention for article published in Journal of Biomolecular NMR, June 2016
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 X user
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1 patent
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1 Google+ user

Citations

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37 Mendeley
Title
Exploiting E. coli auxotrophs for leucine, valine, and threonine specific methyl labeling of large proteins for NMR applications
Published in
Journal of Biomolecular NMR, June 2016
DOI 10.1007/s10858-016-0041-1
Pubmed ID
Authors

Yoan R. Monneau, Yojiro Ishida, Paolo Rossi, Tomohide Saio, Shiou-Ru Tzeng, Masayori Inouye, Charalampos G. Kalodimos

Abstract

A simple and cost effective method to independently and stereo-specifically incorporate [(1)H,(13)C]-methyls in Leu and Val in proteins is presented. Recombinant proteins for NMR studies are produced using a tailored set of auxotrophic E. coli strains. NMR active isotopes are routed to either Leu or Val methyl groups from the commercially available and scrambling-free precursors α-ketoisovalerate and acetolactate. The engineered strains produce deuterated proteins with stereospecific [(1)H,(13)C]-methyl labeling separately at Leu or Val amino acids. This is the first method that achieves Leu-specific stereospecific [(1)H,(13)C]-methyl labeling of proteins and scramble-free Val-specific labeling. Use of auxotrophs drastically decreases the amount of labeled precursor required for expression without impacting the yield. The concept is extended to Thr methyl labeling by means of a Thr-specific auxotroph that provides enhanced efficiency for use with the costly L-[4-(13)C,2,3-(2)H2,(15)N]-Thr reagent. The Thr-specific strain allows for the production of Thr-[(13)CH3](γ2) labeled protein with an optimal isotope incorporation using up to 50 % less labeled Thr than the traditional E. coli strain without the need for (2)H-glycine to prevent scrambling.

X Demographics

X Demographics

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 38%
Student > Ph. D. Student 7 19%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 1 3%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 35%
Chemistry 7 19%
Agricultural and Biological Sciences 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Chemical Engineering 1 3%
Other 2 5%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 22 December 2020.
All research outputs
#5,904,544
of 22,876,619 outputs
Outputs from Journal of Biomolecular NMR
#93
of 614 outputs
Outputs of similar age
#94,539
of 339,291 outputs
Outputs of similar age from Journal of Biomolecular NMR
#1
of 9 outputs
Altmetric has tracked 22,876,619 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 614 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 84% 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 339,291 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 71% of its contemporaries.
We're also able to compare this research output to 9 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