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Differences in the skeletal muscle transcriptome profile associated with extreme values of fatty acids content

Overview of attention for article published in BMC Genomics, November 2016
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Title
Differences in the skeletal muscle transcriptome profile associated with extreme values of fatty acids content
Published in
BMC Genomics, November 2016
DOI 10.1186/s12864-016-3306-x
Pubmed ID
Authors

Aline S. M. Cesar, Luciana C. A. Regitano, Mirele D. Poleti, Sónia C. S. Andrade, Polyana C. Tizioto, Priscila S. N. Oliveira, Andrezza M. Felício, Michele L. do Nascimento, Amália S. Chaves, Dante P. D. Lanna, Rymer R. Tullio, Renata T. Nassu, James E. Koltes, Eric Fritz-Waters, Gerson B. Mourão, Adhemar Zerlotini-Neto, James M. Reecy, Luiz L Coutinho

Abstract

Lipids are a class of molecules that play an important role in cellular structure and metabolism in all cell types. In the last few decades, it has been reported that long-chain fatty acids (FAs) are involved in several biological functions from transcriptional regulation to physiological processes. Several fatty acids have been both positively and negatively implicated in different biological processes in skeletal muscle and other tissues. To gain insight into biological processes associated with fatty acid content in skeletal muscle, the aim of the present study was to identify differentially expressed genes (DEGs) and functional pathways related to gene expression regulation associated with FA content in cattle. Skeletal muscle transcriptome analysis of 164 Nellore steers revealed no differentially expressed genes (DEGs, FDR 10%) for samples with extreme values for linoleic acid (LA) or stearic acid (SA), and only a few DEGs for eicosapentaenoic acid (EPA, 5 DEGs), docosahexaenoic acid (DHA, 4 DEGs) and palmitic acid (PA, 123 DEGs), while large numbers of DEGs were associated with oleic acid (OA, 1134 DEGs) and conjugated linoleic acid cis9 trans11 (CLA-c9t11, 872 DEGs). Functional annotation and functional enrichment from OA DEGs identified important genes, canonical pathways and upstream regulators such as SCD, PLIN5, UCP3, CPT1, CPT1B, oxidative phosphorylation mitochondrial dysfunction, PPARGC1A, and FOXO1. Two important genes associated with lipid metabolism, gene expression and cancer were identified as DEGs between animals with high and low CLA-c9t11, specifically, epidermal growth factor receptor (EGFR) and RNPS. Only two out of seven classes of molecules of FA studied were associated with large changes in the expression profile of skeletal muscle. OA and CLA-c9t11 content had significant effects on the expression level of genes related to important biological processes associated with oxidative phosphorylation, and cell growth, survival, and migration. These results contribute to our understanding of how some FAs modulate metabolism and may have protective health function.

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X Demographics

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Student > Bachelor 10 14%
Student > Doctoral Student 8 11%
Student > Ph. D. Student 8 11%
Researcher 7 10%
Other 8 11%
Unknown 18 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 33%
Biochemistry, Genetics and Molecular Biology 10 14%
Veterinary Science and Veterinary Medicine 5 7%
Engineering 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 7%
Unknown 25 35%
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 26 November 2016.
All research outputs
#13,252,944
of 22,903,988 outputs
Outputs from BMC Genomics
#4,780
of 10,674 outputs
Outputs of similar age
#202,046
of 415,136 outputs
Outputs of similar age from BMC Genomics
#104
of 243 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,674 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 53% 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 415,136 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 243 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.