Title |
Analysis of the swine tracheobronchial lymph node transcriptomic response to infection with a Chinese highly pathogenic strain of porcine reproductive and respiratory syndrome virus
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Published in |
BMC Veterinary Research, October 2012
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DOI | 10.1186/1746-6148-8-208 |
Pubmed ID | |
Authors |
Laura C Miller, Damarius Fleming, Andrew Arbogast, Darrell O Bayles, Baoqing Guo, Kelly M Lager, Jamie N Henningson, Sarah N Schlink, Han-Chun Yang, Kay S Faaberg, Marcus E Kehrli |
Abstract |
Porcine reproductive and respiratory syndrome virus (PRRSV) is a major pathogen of swine worldwide. Emergence in 2006 of a novel highly pathogenic PRRSV (HP-PRRSV) isolate in China necessitated a comparative investigation into the host transcriptome response in tracheobronchial lymph nodes (TBLN) 13 days post-infection with HP-PRRSV rJXwn06, PRRSV strain VR-2332 or sham inocula. RNA from each was prepared for next-generation sequencing. Amplified library constructs were directly sequenced and a list of sequence transcripts and counts was generated using an RNAseq analysis pipeline to determine differential gene expression. Transcripts were annotated and relative abundance was calculated based upon the number of times a given transcript was represented in the library. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 8% |
India | 1 | 4% |
Denmark | 1 | 4% |
Unknown | 21 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 32% |
Researcher | 4 | 16% |
Student > Master | 3 | 12% |
Professor | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 2 | 8% |
Unknown | 4 | 16% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 7 | 28% |
Veterinary Science and Veterinary Medicine | 5 | 20% |
Biochemistry, Genetics and Molecular Biology | 5 | 20% |
Immunology and Microbiology | 2 | 8% |
Medicine and Dentistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 4 | 16% |