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Mining the key regulatory genes of chicken inosine 5′-monophosphate metabolism based on time series microarray data

Overview of attention for article published in Journal of Animal Science and Biotechnology, May 2015
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Title
Mining the key regulatory genes of chicken inosine 5′-monophosphate metabolism based on time series microarray data
Published in
Journal of Animal Science and Biotechnology, May 2015
DOI 10.1186/s40104-015-0022-3
Pubmed ID
Authors

Teng Ma, Lu Xu, Hongzhi Wang, Jing Chen, Lu Liu, Guobin Chang, Guohong Chen

Abstract

IMP (inosine 5'-monophosphate) is a compound that enhances the flavor of poultry meat. IMP has become a new breeding trait to improve poultry meat quality. We tried to identify several potential regulatory genes, and construct their predicted regulatory relationships. Time series gene expression profiles of thigh muscle tissues of Rugao chicken, a famous indigenous breed in China, were performed for analysis of genes that are co-expressed or correlated with the concentration of IMP. We found 15 crucial co-expression genes, which are Hspa2, Pten, Gabpa, Bpi, Mkl1, Srf, Cd34, Hspa4, Etv6, Bmpr2, Gde1, Igfbp5, Cd28, Pecam1 and Gja1, that may directly or indirectly regulate IMP metabolism. Eventually, we computed the correlation coefficient between 19 IMP Genes and 15 CGs (15 co-expression genes), and we identified and constructed a predicted regulation network. In conclusion, variation of IMP concentration was primarily connected with the muscle development process. During this process, 15 CGs were identified that may have significant influence on IMP metabolism. In particular, Bmpr2, Pten and co-expression genes correlated with Entpd8 might play important roles in regulating IMP de novo synthesis, decomposition and salvage synthesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Lecturer 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 67%
Environmental Science 1 17%
Unknown 1 17%
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 16 June 2015.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Journal of Animal Science and Biotechnology
#656
of 903 outputs
Outputs of similar age
#206,928
of 281,543 outputs
Outputs of similar age from Journal of Animal Science and Biotechnology
#8
of 10 outputs
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