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Systems metabolic engineering of Escherichia coli for L-threonine production

Overview of attention for article published in Molecular Systems Biology, December 2007
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter
patent
3 patents

Citations

dimensions_citation
284 Dimensions

Readers on

mendeley
304 Mendeley
citeulike
3 CiteULike
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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 4%
China 4 1%
Germany 4 1%
Sweden 4 1%
Chile 3 <1%
France 3 <1%
United Kingdom 3 <1%
Canada 2 <1%
Denmark 2 <1%
Other 8 3%
Unknown 259 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 31%
Researcher 60 20%
Student > Master 54 18%
Student > Bachelor 24 8%
Student > Postgraduate 15 5%
Other 57 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 172 57%
Engineering 43 14%
Biochemistry, Genetics and Molecular Biology 42 14%
Unspecified 18 6%
Computer Science 8 3%
Other 21 7%

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 23 December 2015.
All research outputs
#721,615
of 9,538,011 outputs
Outputs from Molecular Systems Biology
#163
of 721 outputs
Outputs of similar age
#30,487
of 322,420 outputs
Outputs of similar age from Molecular Systems Biology
#8
of 19 outputs
Altmetric has tracked 9,538,011 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 77% 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 322,420 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 90% of its contemporaries.
We're also able to compare this research output to 19 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 57% of its contemporaries.