Chapter title |
Transcriptome analysis of feline infectious peritonitis virus infection.
|
---|---|
Chapter number | 20 |
Book title |
Coronaviruses
|
Published in |
Methods in molecular biology, February 2015
|
DOI | 10.1007/978-1-4939-2438-7_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2437-0, 978-1-4939-2438-7
|
Authors |
Parvaneh Mehrbod, Mohammad Syamsul Reza Harun, Ahmad Naqib Shuid, Abdul Rahman Omar, Mehrbod, Parvaneh, Harun, Mohammad Syamsul Reza, Shuid, Ahmad Naqib, Omar, Abdul Rahman |
Editors |
Helena Jane Maier, Erica Bickerton, Paul Britton |
Abstract |
Feline infectious peritonitis (FIP) is a lethal systemic disease caused by FIP virus (FIPV). There are no effective vaccines or treatment available, and the virus virulence determinants and pathogenesis are not fully understood. Here, we describe the sequencing of RNA extracted from Crandell Rees Feline Kidney (CRFK) cells infected with FIPV using the Illumina next-generation sequencing approach. Bioinformatics analysis, based on Felis catus 2X annotated shotgun reference genome, using CLC bio Genome Workbench is used to map both control and infected cells. Kal's Z test statistical analysis is used to analyze the differentially expressed genes from the infected CRFK cells. In addition, RT-qPCR analysis is used for further transcriptional profiling of selected genes in infected CRFK cells and Peripheral Blood Mononuclear Cells (PBMCs) from healthy and FIP-diagnosed cats. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 50% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 13% |
Researcher | 3 | 13% |
Professor > Associate Professor | 3 | 13% |
Student > Master | 2 | 9% |
Student > Postgraduate | 2 | 9% |
Other | 2 | 9% |
Unknown | 8 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 7 | 30% |
Biochemistry, Genetics and Molecular Biology | 4 | 17% |
Nursing and Health Professions | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Unknown | 10 | 43% |