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Phenotypic knockouts of selected metabolic pathways by targeting enzymes with camel-derived nanobodies (VHHs)

Overview of attention for article published in Metabolic Engineering, April 2015
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Article details
Title
Phenotypic knockouts of selected metabolic pathways by targeting enzymes with camel-derived nanobodies (VHHs)
Published in
Metabolic Engineering, April 2015
DOI 10.1016/j.ymben.2015.04.002
Pubmed ID
Authors
Abstract

Surveying the dynamics of metabolic networks of Gram-negative bacteria often requires the conditional shutdown of enzymatic activities once the corresponding proteins have been produced. We show that given biochemical functions can be entirely suppressed in vivo with camel antibodies (VHHs, nanobodies) that target active sites of cognate enzymes expressed in the cytoplasm. As a proof of principle, we raised VHHs against 2,5-dihydroxypyridine dioxygenase (NicX) of Pseudomonas putida, involved in nicotinic acid metabolism. Once fused to a thioredoxin domain, the corresponding nanobodies inhibited the enzyme both in E. coli and in P. putida cells, which then accumulated the metabolic substrate of NicX. VHHs were further engineered to track the antigen in vivo by C-terminal fusion to a fluorescent protein. Conditional expression of the resulting VHHs allows simultaneously to track and target proteins of interest and enables the design of transient phenotypes without mutating the genetic complement of the bacteria under study.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Mexico 1 2%
China 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 12 23%
Researcher 12 23%
Student > Master 7 13%
Other 4 8%
Student > Bachelor 3 6%
Other 8 15%
Unknown 7 13%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 24 45%
Biochemistry, Genetics and Molecular Biology 10 19%
Chemical Engineering 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Chemistry 2 4%
Other 2 4%
Unknown 10 19%
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 01 March 2021.
All research outputs
#4,200,061
of 28,010,419 outputs
Outputs from Metabolic Engineering
#324
of 1,546 outputs
Outputs of similar age
#48,729
of 281,829 outputs
Outputs of similar age from Metabolic Engineering
#5
of 29 outputs
Altmetric has tracked 28,010,419 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,546 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 78% 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 281,829 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 82% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.