Title |
Structural and functional annotation of the porcine immunome
|
---|---|
Published in |
BMC Genomics, May 2013
|
DOI | 10.1186/1471-2164-14-332 |
Pubmed ID | |
Authors |
Harry D Dawson, Jane E Loveland, Géraldine Pascal, James GR Gilbert, Hirohide Uenishi, Katherine M Mann, Yongming Sang, Jie Zhang, Denise Carvalho-Silva, Toby Hunt, Matthew Hardy, Zhiliang Hu, Shu-Hong Zhao, Anna Anselmo, Hiroki Shinkai, Celine Chen, Bouabid Badaoui, Daniel Berman, Clara Amid, Mike Kay, David Lloyd, Catherine Snow, Takeya Morozumi, Ryan Pei-Yen Cheng, Megan Bystrom, Ronan Kapetanovic, John C Schwartz, Ranjit Kataria, Matthew Astley, Eric Fritz, Charles Steward, Mark Thomas, Laurens Wilming, Daisuke Toki, Alan L Archibald, Bertrand Bed’Hom, Dario Beraldi, Ting-Hua Huang, Tahar Ait-Ali, Frank Blecha, Sara Botti, Tom C Freeman, Elisabetta Giuffra, David A Hume, Joan K Lunney, Michael P Murtaugh, James M Reecy, Jennifer L Harrow, Claire Rogel-Gaillard, Christopher K Tuggle |
Abstract |
The domestic pig is known as an excellent model for human immunology and the two species share many pathogens. Susceptibility to infectious disease is one of the major constraints on swine performance, yet the structure and function of genes comprising the pig immunome are not well-characterized. The completion of the pig genome provides the opportunity to annotate the pig immunome, and compare and contrast pig and human immune systems. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
Indonesia | 1 | 20% |
Germany | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Members of the public | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 2 | 1% |
United States | 1 | <1% |
Unknown | 168 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 34 | 20% |
Researcher | 30 | 18% |
Student > Master | 21 | 12% |
Student > Bachelor | 14 | 8% |
Professor | 8 | 5% |
Other | 30 | 18% |
Unknown | 34 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 61 | 36% |
Immunology and Microbiology | 22 | 13% |
Veterinary Science and Veterinary Medicine | 13 | 8% |
Biochemistry, Genetics and Molecular Biology | 12 | 7% |
Medicine and Dentistry | 10 | 6% |
Other | 15 | 9% |
Unknown | 38 | 22% |