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Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies

Overview of attention for article published in Arthritis Research & Therapy, July 2016
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Title
Systematic protein-protein interaction and pathway analyses in the idiopathic inflammatory myopathies
Published in
Arthritis Research & Therapy, July 2016
DOI 10.1186/s13075-016-1061-7
Pubmed ID
Authors

Joanna E. Parkes, Simon Rothwell, Philip J. Day, Neil J. McHugh, Zoë E. Betteridge, Robert G. Cooper, William E. Ollier, Hector Chinoy, Janine A. Lamb, The Myositis Genetics Consortium (MYOGEN)

Abstract

The idiopathic inflammatory myopathies (IIM) are autoimmune diseases characterised by acquired proximal muscle weakness, inflammatory cell infiltrates in muscle and myositis-specific/associated autoantibodies. It is unclear which pathways are involved in IIM, and the functional relationship between autoantibody targets has not been systematically explored. Protein-protein interaction and pathway analyses were conducted to identify pathways relevant to disease, using autoantibody targets and gene products of IIM-associated single nucleotide polymorphism (SNP) loci. Protein-protein interactions were analysed using Disease Association Protein-Protein Link Evaluator (DAPPLE). Gene ontology and pathway analyses were conducted using Database for Annotation Visualisation and Integrated Discovery (DAVID) and Gene Relationships Across Implicated Loci (GRAIL). Analyses were undertaken including the targets of published autoantibodies, significant and suggestive SNPs from an IIM association study and autoantibody targets plus SNPs combined. The protein-protein interaction networks formed by autoantibody targets and associated SNPs showed significant direct and/or indirect connectivity (p < 0.05). Autoantibody targets plus associated SNPs combined resulted in more significant indirect and common interactor connectivity, suggesting autoantibody targets and proteins encoded by IIM-associated loci may be involved in common pathways. Tumour necrosis factor receptor-associated factor 6 (TRAF6) was identified as a hub protein, and UBE3B, HSPA1A, HSPA1B and PSMD3 also were identified as genes with significant connectivity. Pathway analysis identified that autoantibody targets and associated SNP regions are significantly interconnected (p < 0.01), and confirmed autoantibody target involvement in translational and post-translational processes. 'Ubiquitin' was the only keyword strongly linking significant genes across regions in all three GRAIL analyses of autoantibody targets and IIM-associated SNPs. Autoantibody targets and IIM-associated loci show significant connectivity and inter-relatedness, and identify several key genes and pathways in IIM pathogenesis, possibly mediated via the ubiquitination pathway.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 25%
Student > Ph. D. Student 6 13%
Student > Master 6 13%
Other 5 10%
Professor 4 8%
Other 11 23%
Unknown 4 8%
Readers by discipline Count As %
Medicine and Dentistry 15 31%
Biochemistry, Genetics and Molecular Biology 11 23%
Agricultural and Biological Sciences 4 8%
Engineering 3 6%
Immunology and Microbiology 2 4%
Other 5 10%
Unknown 8 17%
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 13 October 2021.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from Arthritis Research & Therapy
#2,337
of 3,381 outputs
Outputs of similar age
#219,495
of 371,016 outputs
Outputs of similar age from Arthritis Research & Therapy
#30
of 52 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 28th percentile – i.e., 28% 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 371,016 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.