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Identification of active miRNA and transcription factor regulatory pathways in human obesity-related inflammation

Overview of attention for article published in BMC Bioinformatics, March 2015
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Title
Identification of active miRNA and transcription factor regulatory pathways in human obesity-related inflammation
Published in
BMC Bioinformatics, March 2015
DOI 10.1186/s12859-015-0512-5
Pubmed ID
Authors

Xi-Mei Zhang, Lin Guo, Mei-Hua Chi, Hong-Mei Sun, Xiao-Wen Chen

Abstract

Obesity-induced chronic inflammation plays a fundamental role in the pathogenesis of metabolic syndrome (MS). Recently, a growing body of evidence supports that miRNAs are largely dysregulated in obesity and that specific miRNAs regulate obesity-associated inflammation. We applied an approach aiming to identify active miRNA-TF-gene regulatory pathways in obesity. Firstly, we detected differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs) from mRNA and miRNA expression profiles, respectively. Secondly, by mapping the DEGs and DEmiRs to the curated miRNA-TF-gene regulatory network as active seed nodes and connect them with their immediate neighbors, we obtained the potential active miRNA-TF-gene regulatory subnetwork in obesity. Thirdly, using a Breadth-First-Search (BFS) algorithm, we identified potential active miRNA-TF-gene regulatory pathways in obesity. Finally, through the hypergeometric test, we identified the active miRNA-TF-gene regulatory pathways that were significantly related to obesity. The potential active pathways with FDR < 0.0005 were considered to be the active miRNA-TF regulatory pathways in obesity. The union of the active pathways is visualized and identical nodes of the active pathways were merged. We identified 23 active miRNA-TF-gene regulatory pathways that were significantly related to obesity-related inflammation.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Student > Ph. D. Student 9 17%
Researcher 7 13%
Student > Bachelor 5 10%
Professor > Associate Professor 4 8%
Other 11 21%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Agricultural and Biological Sciences 12 23%
Biochemistry, Genetics and Molecular Biology 11 21%
Computer Science 4 8%
Mathematics 1 2%
Other 3 6%
Unknown 8 15%
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 20 April 2015.
All research outputs
#13,937,024
of 22,794,367 outputs
Outputs from BMC Bioinformatics
#4,470
of 7,280 outputs
Outputs of similar age
#131,066
of 258,823 outputs
Outputs of similar age from BMC Bioinformatics
#74
of 138 outputs
Altmetric has tracked 22,794,367 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 35th percentile – i.e., 35% 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 258,823 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.