Three-colour flow cytometric detection of PrP in ovine leukocytes
| Autor: | G. Robin Barclay, Philip Steele, Jeanie Finlayson, Scott L. Hamilton, Mary-Jo Anderson, Mara Rocchi, Samantha L. Eaton, Francesca Chianini |
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| Rok vydání: | 2007 |
| Předmět: |
Prions
medicine.drug_class animal diseases Immunology Scrapie Monoclonal antibody Flow cytometry Immune system Leukocytes medicine Animals Lymph node Sheep Staining and Labeling General Veterinary medicine.diagnostic_test biology Antibodies Monoclonal Flow Cytometry Phenotype nervous system diseases Staining Cell biology medicine.anatomical_structure biology.protein Lymph Nodes Antibody |
| Zdroj: | Veterinary Immunology and Immunopathology. 116:172-181 |
| ISSN: | 0165-2427 |
| DOI: | 10.1016/j.vetimm.2007.01.012 |
| Popis: | PrPc (cellular prion protein, CD230) expression by subpopulations of lymphoid cells has been widely investigated in a variety of species, possibly because of the possible link between transmissible spongiform encephalopathies (TSE) transmission and blood transfusion. However, the role of the immune cells in the transmission of the disease is still unclear. Here we describe the optimisation and standardisation of a three-colour staining procedure to detect PrP in association with phenotypic and activation markers in ovine immune cells. We demonstrate a reproducible, flexible and sensitive method and that the combination of isotype-specific antibodies and Fab fragments is feasible. To our knowledge, this is the first report of such labelling of ovine cells. Using this method, we were able to detect differences in levels of PrP expression between blood and lymph node cells of the same animal, and considerable variability between animals. Moreover, we were able to explore possible associations between PrP expression and cellular activation and to identify cell subsets with different labelling patterns. We are currently employing this approach to evaluate variations in immunological parameters during experimental infection in sheep. |
| Databáze: | OpenAIRE |
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