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Zinc proteome interaction network as a model to identify nutrient-affected pathways in human pathologies

Overview of attention for article published in Genes & Nutrition, November 2014
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Title
Zinc proteome interaction network as a model to identify nutrient-affected pathways in human pathologies
Published in
Genes & Nutrition, November 2014
DOI 10.1007/s12263-014-0436-0
Pubmed ID
Authors

Guido Leoni, Antonio Rosato, Giuditta Perozzi, Chiara Murgia

Abstract

Zinc is an essential micronutrient playing fundamental roles in cellular metabolism. It acts mostly through binding a wide range of proteins, thus affecting a broad spectrum of biological processes, which include cell division, growth and differentiation. Full annotation of zinc-binding proteins showed them to represent about 10 % of the human proteome, with over 300 enzymes containing zinc ions within their catalytic domains. Also, hundreds of key regulatory proteins, including transcription factors, require zinc for their activity. In this study, the whole set of zinc-binding proteins together with their direct interactors was listed and defined as the zinc proteome (ZNP). We interrogated pathway analysis tools to identify the cellular processes that are predicted to be affected by zinc availability. Network and functional enrichment analyses highlighted biological processes potentially affected by deregulated zinc homeostasis. This computational approach was also tested on a real case study: The possible involvement of ZNP network proteins in Crohn's disease pathogenesis was assessed on genes transcriptionally regulated in the intestine of patients affected by this condition. The analysis produced a network of pathways likely to be influenced by zinc and associated with Crohn's disease. These results highlight a central role for zinc in the tissue remodeling process which occurs upon gut inflammation, pointing at novel disease pathways whose effect could be worsened by zinc dyshomeostasis and impaired zinc fluxes in specific damaged areas. Overall, our computational approach could provide novel insights into pathological conditions and could therefore be used to drive mechanistic research in under-investigated fields of research. An interactive version of the determined ZNP network is available at URL http://93.63.165.11/ZNnetwork/ .

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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 %
Spain 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 19%
Researcher 3 14%
Other 2 10%
Professor 2 10%
Student > Ph. D. Student 1 5%
Other 3 14%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 2 10%
Business, Management and Accounting 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 8 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 November 2014.
All research outputs
#14,203,791
of 22,769,322 outputs
Outputs from Genes & Nutrition
#207
of 388 outputs
Outputs of similar age
#136,070
of 262,191 outputs
Outputs of similar age from Genes & Nutrition
#11
of 15 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 45th percentile – i.e., 45% 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 262,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.