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Expression levels of candidate genes for intramuscular fat deposition in two Banna mini-pig inbred lines divergently selected for fatness traits

Overview of attention for article published in Genetics and Molecular Biology, November 2012
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Title
Expression levels of candidate genes for intramuscular fat deposition in two Banna mini-pig inbred lines divergently selected for fatness traits
Published in
Genetics and Molecular Biology, November 2012
DOI 10.1590/s1415-47572012005000079
Pubmed ID
Authors

Su-Mei Zhao, Wei-Zhen Li, Hong-Bin Pan, Ying Huang, Ming-Hua Yang, Hong-Jiang Wei, Shi-Zheng Gao

Abstract

Intramuscular fat (IMF) content plays an important role in meat quality. Many genes involved in lipid and energy metabolism were identified as candidate genes for IMF deposition, since genetic polymorphisms within these genes were associated with IMF content. However, there is less information on the expression levels of these genes in the muscle tissue. This study aimed at investigating the expression levels of sterol regulating element binding protein-1c (SREBP-1c), diacylglycerol acyltransferase (DGAT-1), heart-fatty acids binding protein (H-FABP), leptin receptor (LEPR) and melanocortin 4 receptor (MC4R) genes and proteins in two divergent Banna mini-pig inbred lines (BMIL). A similar growth performance was found in both the fat and the lean BMIL. The fat meat and IMF content in the fat BMIL were significantly higher than in the lean BMIL, but the lean meat content was lower. The serum triacylglycerol (TAG) and free fatty acid (FFA) contents were significantly higher in the fat than in the lean BMIL. The expression levels of SREBP-1c, DGAT-1 and H-FABP genes and proteins in fat BMIL were increased compared to the lean BMIL. However, the expression levels of LEPR and MC4R genes and proteins were lower.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Student > Master 3 19%
Professor 2 13%
Lecturer 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Veterinary Science and Veterinary Medicine 3 19%
Psychology 2 13%
Computer Science 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 3 19%
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 15 December 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Genetics and Molecular Biology
#551
of 771 outputs
Outputs of similar age
#149,676
of 192,735 outputs
Outputs of similar age from Genetics and Molecular Biology
#15
of 18 outputs
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