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Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis

Overview of attention for article published in BMC Systems Biology, February 2013
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Title
Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis
Published in
BMC Systems Biology, February 2013
DOI 10.1186/1752-0509-7-17
Pubmed ID
Authors

Joel Jordà, Camilo Suarez, Marc Carnicer, Angela ten Pierick, Joseph J Heijnen, Walter van Gulik, Pau Ferrer, Joan Albiol, Aljoscha Wahl

Abstract

Several studies have shown that the utilization of mixed carbon feeds instead of methanol as sole carbon source is beneficial for protein production with the methylotrophic yeast Pichia pastoris. In particular, growth under mixed feed conditions appears to alleviate the metabolic burden related to stress responses triggered by protein overproduction and secretion. Yet, detailed analysis of the metabolome and fluxome under mixed carbon source metabolizing conditions are missing. To obtain a detailed flux distribution of central carbon metabolism, including the pentose phosphate pathway under methanol-glucose conditions, we have applied metabolomics and instationary ¹³C flux analysis in chemostat cultivations.

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

Geographical breakdown

Country Count As %
United States 3 2%
Germany 2 1%
Chile 1 <1%
Austria 1 <1%
Brazil 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 158 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 30%
Researcher 26 15%
Student > Master 18 11%
Other 11 6%
Student > Bachelor 10 6%
Other 31 18%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 35%
Biochemistry, Genetics and Molecular Biology 37 22%
Engineering 23 13%
Chemical Engineering 8 5%
Chemistry 8 5%
Other 9 5%
Unknown 27 16%
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 28 February 2013.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#146,758
of 192,986 outputs
Outputs of similar age from BMC Systems Biology
#14
of 22 outputs
Altmetric has tracked 22,699,621 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 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 192,986 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.