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Effect of plasmid replication deregulation via inc mutations on E. coli proteome

Overview of attention for article published in Microbial Cell Factories, March 2015
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Title
Effect of plasmid replication deregulation via inc mutations on E. coli proteome & simple flux model analysis
Published in
Microbial Cell Factories, March 2015
DOI 10.1186/s12934-015-0212-x
Pubmed ID
Authors

Jonathan Meade, Patrick Bartlow, Ram Narayan Trivedi, Parvez Akhtar, Mohammad M Ataai, Saleem A Khan, Michael M Domach

Abstract

When the replication of a plasmid based on sucrose selection is deregulated via the inc1 and inc2 mutations, high copy numbers (7,000 or greater) are attained while the growth rate on minimal medium is negligibly affected. Adaptions were assumed to be required in order to sustain the growth rate. Proteomics indicated that indeed a number of adaptations occurred that included increased expression of ribosomal proteins and 2-oxoglutarate dehydrogenase. The operating space prescribed by a basic flux model that maintained phenotypic traits (e.g. growth, byproducts, etc.) within typical bounds of resolution was consistent with the flux implications of the proteomic changes.

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

Geographical breakdown

Country Count As %
China 1 5%
Estonia 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 24%
Student > Master 5 24%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Other 2 10%
Unknown 2 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Biochemistry, Genetics and Molecular Biology 6 29%
Engineering 2 10%
Environmental Science 1 5%
Chemistry 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 January 2016.
All research outputs
#18,436,183
of 22,840,638 outputs
Outputs from Microbial Cell Factories
#1,205
of 1,602 outputs
Outputs of similar age
#188,502
of 258,825 outputs
Outputs of similar age from Microbial Cell Factories
#24
of 36 outputs
Altmetric has tracked 22,840,638 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,602 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.