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Differential expression of genes related to gain and intake in the liver of beef cattle

Overview of attention for article published in BMC Research Notes, January 2017
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Title
Differential expression of genes related to gain and intake in the liver of beef cattle
Published in
BMC Research Notes, January 2017
DOI 10.1186/s13104-016-2345-3
Pubmed ID
Authors

C. M. Zarek, A. K. Lindholm-Perry, L. A. Kuehn, H. C. Freetly

Abstract

To better understand which genes play a role in cattle feed intake and gain, we evaluated differential expression of genes related to gain and intake in the liver of crossbred beef steers. Based on past transcriptomics studies on cattle liver, we hypothesized that genes related to metabolism regulation and the inflammatory response would be differentially expressed. This study used 16 animals with diverse gain and intake phenotypes to compare transcript abundance after a 78 day ad libitum feed study. A total of 729 genes were differentially expressed. These genes were analyzed for over-representation among biological and cellular functions, and pathways. Cell transport processes and metabolic processes, as well as functions related to transport, were identified. Pathways related to immune function, such as the proteasome ubiquitination pathway and the chemokine signaling pathway, were also identified. Our results were consistent with past transcriptomics studies that have found immune and transport processes play a role in feed efficiency. Gain and intake are impacted by complex processes in the liver, which include cellular transport, metabolism regulation, and immune function.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Researcher 5 23%
Student > Master 3 14%
Student > Postgraduate 2 9%
Student > Bachelor 2 9%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 27%
Chemistry 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Veterinary Science and Veterinary Medicine 2 9%
Nursing and Health Professions 1 5%
Other 3 14%
Unknown 6 27%

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 07 January 2017.
All research outputs
#7,688,021
of 8,864,881 outputs
Outputs from BMC Research Notes
#1,830
of 2,225 outputs
Outputs of similar age
#247,090
of 301,173 outputs
Outputs of similar age from BMC Research Notes
#54
of 60 outputs
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