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Predicted networks of protein-protein interactions in Stegodyphus mimosarum by cross-species comparisons

Overview of attention for article published in BMC Genomics, September 2017
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Title
Predicted networks of protein-protein interactions in Stegodyphus mimosarum by cross-species comparisons
Published in
BMC Genomics, September 2017
DOI 10.1186/s12864-017-4085-8
Pubmed ID
Authors

Xiu Wang, Yongfeng Jin

Abstract

Stegodyphus mimosarum is a candidate model organism belonging to the class Arachnida in the phylum Arthropoda. Studies on the biology of S. mimosarum over the past several decades have consisted of behavioral research and comparison of gene sequences based on the assembled genome sequence. Given the lack of systematic protein analyses and the rich source of information in the genome, we predicted the relationships of proteins in S. mimosarum by bioinformatics comparison with genome-wide proteins from select model organisms using gene mapping. The protein-protein interactions (PPIs) of 11 organisms were integrated from four databases (BioGrid, InAct, MINT, and DIP). Here, we present comprehensive prediction and analysis of 3810 proteins in S. mimosarum with regard to interactions between proteins using PPI data of organisms. Interestingly, a portion of the protein interactions conserved among Saccharomyces cerevisiae, Homo sapiens, Arabidopsis thaliana, and Drosophila melanogaster were found to be associated with RNA splicing. In addition, overlap of predicted PPIs in reference organisms, Gene Ontology, and topology models in S. mimosarum are also reported. Addition of Stegodyphus, a spider representative of interactomic research, provides the possibility of obtaining deeper insights into the evolution of PPI networks among different animal species. This work largely supports the utility of the "stratus clouds" model for predicted PPIs, providing a roadmap for integrative systems biology in S. mimosarum.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Student > Bachelor 3 16%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Professor 1 5%
Other 2 11%
Unknown 7 37%
Readers by discipline Count As %
Engineering 4 21%
Agricultural and Biological Sciences 2 11%
Computer Science 2 11%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Other 2 11%
Unknown 7 37%
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 01 May 2018.
All research outputs
#20,483,282
of 23,045,021 outputs
Outputs from BMC Genomics
#9,325
of 10,697 outputs
Outputs of similar age
#276,148
of 316,106 outputs
Outputs of similar age from BMC Genomics
#189
of 215 outputs
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