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A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels

Overview of attention for article published in BMC Ecology and Evolution, November 2015
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Title
A comparison of human and mouse gene co-expression networks reveals conservation and divergence at the tissue, pathway and disease levels
Published in
BMC Ecology and Evolution, November 2015
DOI 10.1186/s12862-015-0534-7
Pubmed ID
Authors

Gianni Monaco, Sipko van Dam, João Luis Casal Novo Ribeiro, Anis Larbi, João Pedro de Magalhães

Abstract

A deeper understanding of differences and similarities in transcriptional regulation between species can uncover important information about gene functions and the role of genes in disease. Deciphering such patterns between mice and humans is especially important since mice play an essential role in biomedical research. Here, in order to characterize evolutionary changes between humans and mice, we compared gene co-expression maps to evaluate the conservation of co-expression. We show that the conservation of co-expression connectivity of homologous genes is negatively correlated with molecular evolution rates, as expected. Then we investigated evolutionary aspects of gene sets related to functions, tissues, pathways and diseases. Genes expressed in the testis, eye and skin, and those associated with regulation of transcription, olfaction, PI3K signalling, response to virus and bacteria were more divergent between mice and humans in terms of co-expression connectivity. Surprisingly, a deeper investigation of the PI3K signalling cascade revealed that its divergence is caused by the most crucial genes of this pathway, such as mTOR and AKT2. On the other hand, our analysis revealed that genes expressed in the brain and in the bone, and those associated with cell adhesion, cell cycle, DNA replication and DNA repair are most strongly conserved in terms of co-expression network connectivity as well as having a lower rate of duplication events. Genes involved in lipid metabolism and genes specific to blood showed a signature of increased co-expression connectivity in the mouse. In terms of diseases, co-expression connectivity of genes related to metabolic disorders is the most strongly conserved between mice and humans and tumor-related genes the most divergent. This work contributes to discerning evolutionary patterns between mice and humans in terms of gene interactions. Conservation of co-expression is a powerful approach to identify gene targets and processes with potential similarity and divergence between mice and humans, which has implications for drug testing and other studies employing the mouse as a model organism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Korea, Republic of 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 151 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 20 13%
Student > Master 18 12%
Student > Bachelor 16 10%
Student > Doctoral Student 10 6%
Other 19 12%
Unknown 38 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 22%
Agricultural and Biological Sciences 34 22%
Medicine and Dentistry 9 6%
Immunology and Microbiology 6 4%
Neuroscience 6 4%
Other 22 14%
Unknown 44 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 April 2019.
All research outputs
#14,915,133
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#2,489
of 3,714 outputs
Outputs of similar age
#193,883
of 392,723 outputs
Outputs of similar age from BMC Ecology and Evolution
#44
of 70 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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