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Integration of proteomics and metabolomics to elucidate metabolic adaptation in Leishmania

Overview of attention for article published in Journal of Proteomics, February 2017
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

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28 Dimensions

Readers on

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97 Mendeley
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Title
Integration of proteomics and metabolomics to elucidate metabolic adaptation in Leishmania
Published in
Journal of Proteomics, February 2017
DOI 10.1016/j.jprot.2016.12.009
Pubmed ID
Authors

Snezhana Akpunarlieva, Stefan Weidt, Dhilia Lamasudin, Christina Naula, David Henderson, Michael Barrett, Karl Burgess, Richard Burchmore

Abstract

Leishmania parasites multiply and develop in the gut of a sand fly vector in order to be transmitted to a vertebrate host. During this process they encounter and exploit various nutrients, including sugars, and amino and fatty acids. We have previously generated a mutant Leishmania line that is deficient in glucose transport and which displays some biologically important phenotypic changes such as reduced growth in axenic culture, reduced biosynthesis of hexose-containing virulence factors, increased sensitivity to oxidative stress, and dramatically reduced parasite burden in both insect vector and macrophage host cells. Here we report the generation and integration of proteomic and metabolomic approaches to identify molecular changes that may explain these phenotypes. Our data suggest changes in pathways of glycoconjugate production and redox homeostasis, which likely represent adaptations to the loss of sugar uptake capacity and explain the reduced virulence of this mutant in sand flies and mammals. Our data contribute to understanding the mechanisms of metabolic adaptation in Leishmania and illustrate the power of integrated proteomic and metabolomic approaches to relate biochemistry to phenotype. This paper reports the application of comparative proteomic and metabolomic approaches to reveal the molecular basis for important phenotypic changes Leishmania parasites that are deficient in glucose uptake. Leishmania cause a very significant disease burden across the world and there are few effective drugs available for control. This work shows that proteomics and metabolomics can produce complementary data that advance understanding of parasite metabolism and highlight potential new targets for chemotherapy.

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

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 15%
Student > Master 15 15%
Student > Bachelor 11 11%
Researcher 10 10%
Student > Doctoral Student 4 4%
Other 17 18%
Unknown 25 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 28%
Agricultural and Biological Sciences 17 18%
Immunology and Microbiology 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Engineering 2 2%
Other 7 7%
Unknown 34 35%

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 16 April 2018.
All research outputs
#3,219,938
of 22,950,943 outputs
Outputs from Journal of Proteomics
#162
of 2,866 outputs
Outputs of similar age
#69,693
of 420,361 outputs
Outputs of similar age from Journal of Proteomics
#9
of 97 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,866 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 94% 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 420,361 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 83% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.