↓ Skip to main content

Systems metabolic engineering of Escherichia coli for L‐threonine production

Overview of attention for article published in Molecular Systems Biology, December 2007
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
patent
8 patents

Citations

dimensions_citation
400 Dimensions

Readers on

mendeley
424 Mendeley
citeulike
3 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Systems metabolic engineering of Escherichia coli for L‐threonine production
Published in
Molecular Systems Biology, December 2007
DOI 10.1038/msb4100196
Pubmed ID
Authors

Kwang Ho Lee, Jin Hwan Park, Tae Yong Kim, Hyun Uk Kim, Sang Yup Lee

Abstract

Amino-acid producers have traditionally been developed by repeated random mutagenesis owing to the difficulty in rationally engineering the complex and highly regulated metabolic network. Here, we report the development of the genetically defined L-threonine overproducing Escherichia coli strain by systems metabolic engineering. Feedback inhibitions of aspartokinase I and III (encoded by thrA and lysC, respectively) and transcriptional attenuation regulations (located in thrL) were removed. Pathways for Thr degradation were removed by deleting tdh and mutating ilvA. The metA and lysA genes were deleted to make more precursors available for Thr biosynthesis. Further target genes to be engineered were identified by transcriptome profiling combined with in silico flux response analysis, and their expression levels were manipulated accordingly. The final engineered E. coli strain was able to produce Thr with a high yield of 0.393 g per gram of glucose, and 82.4 g/l Thr by fed-batch culture. The systems metabolic engineering strategy reported here may be broadly employed for developing genetically defined organisms for the efficient production of various bioproducts.

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

Geographical breakdown

Country Count As %
United States 12 3%
Germany 4 <1%
China 4 <1%
France 4 <1%
Chile 3 <1%
United Kingdom 3 <1%
Sweden 2 <1%
Denmark 2 <1%
Australia 1 <1%
Other 8 2%
Unknown 381 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 26%
Researcher 68 16%
Student > Master 66 16%
Student > Bachelor 37 9%
Student > Doctoral Student 20 5%
Other 66 16%
Unknown 57 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 173 41%
Biochemistry, Genetics and Molecular Biology 75 18%
Engineering 53 13%
Chemical Engineering 10 2%
Chemistry 8 2%
Other 34 8%
Unknown 71 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 17 August 2023.
All research outputs
#2,437,649
of 25,374,917 outputs
Outputs from Molecular Systems Biology
#403
of 1,140 outputs
Outputs of similar age
#8,522
of 166,186 outputs
Outputs of similar age from Molecular Systems Biology
#3
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has gotten more attention than average, scoring higher than 64% 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 166,186 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.