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LPS-induced modules of co-expressed genes in equine peripheral blood mononuclear cells

Overview of attention for article published in BMC Genomics, January 2017
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Title
LPS-induced modules of co-expressed genes in equine peripheral blood mononuclear cells
Published in
BMC Genomics, January 2017
DOI 10.1186/s12864-016-3390-y
Pubmed ID
Authors

Alicja Pacholewska, Eliane Marti, Tosso Leeb, Vidhya Jagannathan, Vincent Gerber

Abstract

Lipopolysaccharide (endotoxin, LPS) is a strong inducer of the innate immune response. It is widespread in our environment, e.g. in house dust and contributes to asthma. Compared to humans, horses are even more sensitive to LPS. However, data on LPS effects on the equine transcriptome are very limited. Using RNA-seq we analysed LPS-induced differences in the gene expression in equine peripheral blood mononuclear cells at the gene and gene-network level in two half-sib families and one group of unrelated horses. 24 h-LPS challenge of equine immune cells resulted in substantial changes in the transcriptomic profile (1,265 differentially expressed genes) showing partial overlap with human data. One of the half-sib families showed a specific response different from the other two groups of horses. We also identified co-expressed gene modules that clearly differentiated 24 h-LPS- from non-stimulated samples. These modules consisted of 934 highly interconnected genes and included genes involved in the immune response (e.g. IL6, CCL22, CXCL6, CXCL2), however, none of the top ten hub genes of the modules have been annotated as responsive to LPS in gene ontology. Using weighted gene co-expression network analysis we identified ten co-expressed gene modules significantly regulated by in vitro stimulation with LPS. Apart from 47 genes (5%) all other genes highly interconnected within the most up- and down-regulated modules were also significantly differentially expressed (FDR < 0.05). The LPS-regulated module hub genes have not yet been described as having a role in the immune response to LPS (e.g. VAT1 and TTC25).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 11%
Student > Doctoral Student 3 9%
Lecturer 3 9%
Student > Master 3 9%
Student > Ph. D. Student 3 9%
Other 6 17%
Unknown 13 37%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 17%
Biochemistry, Genetics and Molecular Biology 6 17%
Agricultural and Biological Sciences 3 9%
Engineering 2 6%
Medicine and Dentistry 2 6%
Other 3 9%
Unknown 13 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 07 January 2017.
All research outputs
#22,758,309
of 25,371,288 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#362,589
of 421,652 outputs
Outputs of similar age from BMC Genomics
#182
of 227 outputs
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