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Comparison and contrast of genes and biological pathways responding to Marek’s disease virus infection using allele-specific expression and differential expression in broiler and layer chickens

Overview of attention for article published in BMC Genomics, January 2013
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1 tweeter

Citations

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Title
Comparison and contrast of genes and biological pathways responding to Marek’s disease virus infection using allele-specific expression and differential expression in broiler and layer chickens
Published in
BMC Genomics, January 2013
DOI 10.1186/1471-2164-14-64
Pubmed ID
Authors

Sudeep Perumbakkam, William M Muir, Alexis Black-Pyrkosz, Ron Okimoto, Hans H Cheng

Abstract

Marek's disease (MD) is a commercially important neoplastic disease of chickens caused by the Marek's disease virus (MDV), a naturally occurring oncogenic alphaherpesvirus. Enhancing MD genetic resistance is desirable to augment current vaccines and other MD control measures. High throughput sequencing was used to profile splenic transcriptomes from individual F1 progeny infected with MDV at 4 days of age from both outbred broilers (meat-type) and inbred layer (egg-type) chicken lines that differed in MD genetic resistance. The resulting information was used to identify SNPs, genes, and biological pathways exhibiting allele-specific expression (ASE) in response to MDV infection in each type of chicken. In addition, we compared and contrasted the results of pathway analyses (ASE and differential expression (DE)) between chicken types to help inform on the biological response to MDV infection.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Brazil 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 31%
Student > Ph. D. Student 9 23%
Researcher 6 15%
Student > Bachelor 2 5%
Other 2 5%
Other 4 10%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 46%
Biochemistry, Genetics and Molecular Biology 5 13%
Veterinary Science and Veterinary Medicine 4 10%
Computer Science 2 5%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 8 21%

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 30 January 2013.
All research outputs
#20,180,477
of 22,694,633 outputs
Outputs from BMC Genomics
#9,242
of 10,616 outputs
Outputs of similar age
#249,226
of 282,145 outputs
Outputs of similar age from BMC Genomics
#325
of 367 outputs
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