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Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren’s syndrome uncovered through gene expression meta-analysis

Overview of attention for article published in Arthritis Research & Therapy, December 2014
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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4 X users
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3 patents
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1 Facebook page

Citations

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Title
Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren’s syndrome uncovered through gene expression meta-analysis
Published in
Arthritis Research & Therapy, December 2014
DOI 10.1186/s13075-014-0489-x
Pubmed ID
Authors

Daniel Toro-Domínguez, Pedro Carmona-Sáez, Marta E Alarcón-Riquelme

Abstract

IntroductionSystemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and Sjögren¿s syndrome (SjS) are inflammatory and systemic autoimmune diseases (SADs) that share several clinical and pathological features. The shared biological mechanisms are not fully characterized. The objective of this study was to perform a meta-analysis using publicly available gene expression data from the three diseases in order to identify shared gene expression signatures and overlapping biological processes.MethodsPreviously reported gene expression datasets were selected and downloaded from Gene Expression Omnibus (GEO) database. Normalization and initial preprocessing was performed using statistical programming language R and random effect model (REM) based meta-analysis was carried out using the INMEX software. Functional analysis of over- and under-expressed genes was done using the GeneCodis tool.ResultsThe gene expression meta-analysis revealed a SAD signature composed of 371 differentially expressed genes in patients and healthy controls, 187 under-expressed and 184 over-expressed. Many of these genes have been previously reported as significant biomarkers for individual diseases, but others provide new clues to understand the shared pathological state. Functional analysis showed that over-expressed genes were mainly involved in immune and inflammatory response, mitotic cell cycle, cytokine-mediated signaling pathways, apoptotic processes, type I interferon (IFN)-mediated signaling pathway and response to virus. On the other hand, under-expressed genes were primarily involved in inhibition of protein synthesis.ConclusionsWe define a common gene expression signature for SLE, RA and SjS. The analysis of this signature revealed relevant biological processes that may be playing important roles in the shared development of these pathologies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Germany 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 19%
Researcher 14 16%
Student > Master 12 14%
Student > Bachelor 10 12%
Student > Doctoral Student 5 6%
Other 12 14%
Unknown 16 19%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Biochemistry, Genetics and Molecular Biology 17 20%
Agricultural and Biological Sciences 7 8%
Immunology and Microbiology 5 6%
Computer Science 4 5%
Other 14 16%
Unknown 20 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 November 2022.
All research outputs
#4,158,501
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#937
of 3,381 outputs
Outputs of similar age
#54,872
of 368,282 outputs
Outputs of similar age from Arthritis Research & Therapy
#10
of 53 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 72% 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 368,282 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 85% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.