scholarly journals Adult allergic rhinitis sufferers have unique nasal mucosal and peripheral blood immune gene expression profiles: A case–control study

Author(s):  
Annabelle M. Watts ◽  
Nicholas P. West ◽  
Peter K. Smith ◽  
Allan W. Cripps ◽  
Amanda J. Cox
2013 ◽  
Vol 162 (2-4) ◽  
pp. 519-529 ◽  
Author(s):  
Chun-Ming Lin ◽  
Chian-Ren Jeng ◽  
Jen-Pei Liu ◽  
En-Chung Lin ◽  
Chih-Cheng Chang ◽  
...  

2004 ◽  
Vol 11 (5) ◽  
pp. 977-982 ◽  
Author(s):  
Paul J. McLaren ◽  
Michael Mayne ◽  
Stuart Rosser ◽  
Teri Moffatt ◽  
Kevin G. Becker ◽  
...  

ABSTRACT Advances in microarray technology have allowed for the monitoring of thousands of genes simultaneously. This technology is of particular interest to immunologists studying infectious diseases, because it provides tremendous potential for investigating host-pathogen interactions at the level of immune gene expression. To date, many studies have focused either on cell lines, where the physiological relevance is questionable, or on mixed cell populations, where the contributions of individual subpopulations are unknown. In the present study, we perform an intrasubject comparison of antigen-stimulated immune gene expression profiles between a mixed population of peripheral blood mononuclear cells (PBMC) and the two predominant cell types found in PBMC, CD4+ and CD8+ T lymphocytes. We show that the microarray profiles of CD4+ and CD8+ T lymphocytes differ from each other as well as from that of the mixed cell population. The independence of the gene expression profiles of different cell types is demonstrated with a ubiquitous antigen (Candida albicans) as well as with a disease-specific antigen (human immunodeficiency virus p24). This study has important implications for microarray studies of host immunity and underscores the importance of profiling the expression of specific cell types.


2017 ◽  
Vol 1 (1) ◽  
pp. e000092 ◽  
Author(s):  
Benard W Kulohoma ◽  
Fiona Marriage ◽  
Olga Vasieva ◽  
Limangeni Mankhambo ◽  
Kha Nguyen ◽  
...  

Meta Gene ◽  
2021 ◽  
pp. 100944
Author(s):  
Masoud Keikha ◽  
Mohammad Ali-Hassanzadeh ◽  
Ramin Bagheri ◽  
Mohsen Karbalaei

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