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Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

Overview of attention for article published in BMC Genomics, December 2015
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Title
Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2292-8
Pubmed ID
Authors

Pamela A. Alexandre, Lisette J. A. Kogelman, Miguel H. A. Santana, Danielle Passarelli, Lidia H. Pulz, Paulo Fantinato-Neto, Paulo L. Silva, Paulo R. Leme, Ricardo F. Strefezzi, Luiz L. Coutinho, José B. S. Ferraz, Joanie P. Eler, Haja N. Kadarmideen, Heidge Fukumasu

Abstract

The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype. Eight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate. Liver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals.

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The data shown below were collected from the profiles of 3 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 114 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Researcher 15 13%
Student > Ph. D. Student 15 13%
Student > Bachelor 13 11%
Student > Doctoral Student 8 7%
Other 23 20%
Unknown 23 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 46%
Veterinary Science and Veterinary Medicine 9 8%
Biochemistry, Genetics and Molecular Biology 9 8%
Engineering 4 3%
Medicine and Dentistry 3 3%
Other 7 6%
Unknown 31 27%
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 18 February 2016.
All research outputs
#13,451,930
of 22,835,198 outputs
Outputs from BMC Genomics
#5,002
of 10,655 outputs
Outputs of similar age
#187,197
of 388,246 outputs
Outputs of similar age from BMC Genomics
#156
of 327 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 388,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 327 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.