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Discovery of a microbial transglutaminase enabling highly site-specific labeling of proteins

Overview of attention for article published in Journal of Biological Chemistry, July 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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3 X users
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6 patents

Citations

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48 Dimensions

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116 Mendeley
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Title
Discovery of a microbial transglutaminase enabling highly site-specific labeling of proteins
Published in
Journal of Biological Chemistry, July 2017
DOI 10.1074/jbc.m117.797811
Pubmed ID
Authors

Wojtek Steffen, Fu Chong Ko, Jigar Patel, Victor Lyamichev, Thomas J. Albert, Jörg Benz, Markus G. Rudolph, Frank Bergmann, Thomas Streidl, Peter Kratzsch, Mara Boenitz-Dulat, Tobias Oelschlaegel, Michael Schraeml

Abstract

Microbial transglutaminases (MTGs) catalyze the formation of Gln-Lys isopeptide bonds and are widely used for the crosslinking of proteins and peptides in food and biotechnological applications, for example, to improve the texture of protein-rich foods or in generating antibody-drug conjugates. Currently used MTGs have low substrate specificity, impeding their biotechnological use as enzymes that don't cross-react with nontarget substrates (i.e. as bio-orthogonal labeling systems). Here, we report the discovery of a MTG from Kutzneria albida (KalbTG) which exhibited no cross-reactivity with known MTG substrates or commonly used target proteins such as antibodies. KalbTG was produced in E. coli as soluble and active enzyme in the presence of its natural inhibitor ammonium to prevent potentially toxic cross-linking activity. The crystal structure of KalbTG revealed a conserved core similar to other MTGs but very short surface loops, making it the smallest MTG characterized to date. Ultra-dense peptide array technology involving a pool of 1.4 million unique peptides identified specific recognition motifs for KalbTG in these peptides. We determined that the motifs YRYRQ and RYESK are the best Gln and Lys substrates of KalbTG, respectively. By first reacting a bifunctionalized peptide with the more specific KalbTG and in a second step with the less specific MTG from Streptomyces mobaraensis, a successful bio-orthogonal labeling system was demonstrated. Fusing the KalbTG recognition motif to an antibody allowed for site-specific and ratio-controlled labeling using low label excess. Its site-specificity, favorable kinetics, ease-of-use, and cost-effective production render KalbTG an attractive tool for a broad range of applications, including production of therapeutic antibody-drug conjugates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 21%
Student > Ph. D. Student 23 20%
Student > Master 12 10%
Student > Doctoral Student 5 4%
Other 5 4%
Other 14 12%
Unknown 33 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 26%
Agricultural and Biological Sciences 23 20%
Chemistry 13 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Immunology and Microbiology 3 3%
Other 11 9%
Unknown 32 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 June 2023.
All research outputs
#3,416,577
of 25,382,440 outputs
Outputs from Journal of Biological Chemistry
#5,220
of 85,247 outputs
Outputs of similar age
#59,583
of 327,247 outputs
Outputs of similar age from Journal of Biological Chemistry
#54
of 384 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% 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 327,247 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 384 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.