P.M. Saama

Mechanisms of glucocorticoid‐induced down‐regulation of neutrophil L‐selectin in cattle: evidence for effects at the gene‐expression level and primarily on blood neutrophils

One anti‐inflammatory action of glucocorticoids is down‐regulation of surface L‐selectin on circulating neutrophils. However, it is unclear if this is a result of release of affected bone marrow neutrophils or if the steroid has direct effects on L‐selectin expression in existing blood neutrophils. We recently demonstrated that circulating neutrophils from cattle with high blood concentrations of endogenous glucocorticoid had reduced L‐selectin mRNA, suggesting that the steroid interrupted L‐selectin gene expression. In the current study, dexamethasone (DEX) was administered to cattle in vivo, and blood and bone marrow neutrophils were studied simultaneously within the animal to determine which pool of cells responds to glucocorticoids with inhibited L‐selectin expression. Purified blood neutrophils were also treated with DEX ± RU486 in vitro, and glucocorticoid effects on L‐selectin expression were determined. Our results indicate that glucocorticoid‐induced suppression of L‐selectin, which accompanies neutrophilia, is likely mediated by direct effects of glucocorticoid receptor activation on intracellular reservoirs of L‐selectin mRNA and protein in cattle, predominantly in blood neutrophils.

Generation of EST and cDNA Microarray Resources for the Study of Bovine Immunobiology

Recent developments in expressed sequence tag (EST) and cDNA microarray technology have had a dramatic impact on the ability of scientists to study the responses of thousands of genes to external stimuli, such as infection, nutrient flux, and stress. To date however, these studies have largely been limited to human and rodent systems. Despite the tremendous potential benefit of EST and cDNA microarray technology to studies of complex problems in domestic animal species, a lack of integrated resources has precluded application of these technologies to domestic species. To address this problem, the Center for Animal Functional Genomics (CAFG) at Michigan State University has developed a normalized bovine total leukocyte (BOTL) cDNA library, generated EST clones from this library, and printed cDNA microarrays suitable for studying bovine immunobiology. Our data revealed that the normalization procedure successfully reduced highly abundant cDNA species while enhancing the relative percentage of clones representing rare transcripts. To date, a total of 932 EST sequences have been generated from this library (BOTL) and the sequence information plus BLAST results made available through a web-accessible database http://gowhite.ans.msu.edu. Cluster analysis of the data indicates that a total of 842 unique cDNAs are present in this collection, reflecting a low redundancy rate of 9.7%.For creation of first generation cDNA microarrays, inserts from 720 unique clones in this library were amplified and microarrays were produced by spotting each insert or amplicon 3 times on glass slides in a 48-patch arrangement with 64 total spots (including blanks and positive controls) per patch. To test our BOTL microarray, we compared gene expression patterns of concanavalin A stimulated and unstimulated peripheral blood mononuclear cells (PBMCs). In total, hybridization signals on over 90 amplicons showed upregulation (>3×) in response to Con A stimulation, relative to unstimulated cells. A second experiment with PBMCs from a different group of animals was performed to test reproducibility of microarray results. There was a high correlation between the 2 experiments (r = 0.72, P < 0.001). Resources described in this publication offer a highly efficient and integrated system to study gene expression changes in bovine leukocytes.

Generation of expressed sequence tags from a normalized porcine skeletal muscle cDNA library.

ABSTRACT Recent developments in microarray technologies permit scientists to analyze expression of thousands of genes simultaneously in diverse biological systems. In an effort to provide integrated resources for application of microarray technologies to studies of skeletal muscle growth and development in swine, we have constructed a normalized cDNA library from porcine skeletal muscle. The effectiveness of normalization was evaluated by DNA sequencing of clones randomly picked from the library before and after normalization, and also by Southern blot hybridization using probes representing abundant transcripts. Our data suggests that the normalization procedure successfully reduced the highly abundant cDNA species in the normalized library. To date, a total of 782 EST (expressed sequence tag) sequences have been generated from this normalized library (687 ESTs) and the original library (95 ESTs). The sequence information of these ESTs plus their BLAST results has been made available through a web accessible database (http://nbfgc.msu.edu). Cluster analysis of the data indicates that a total of 742 unique sequences are present in this collection. BLASTN search of the 742 EST sequences against the public database (dbEST) revealed that 139 had no significant matches (E-value > 10−15) to porcine ESTs already entered in the database, suggesting the possibility of their specific expression in porcine skeletal muscle. Generation of non-redundant ESTs from this library will allow us to construct cDNA microarrays for identification of gene expression changes that regulate muscle growth and affect meat quality in swine.

Genetic Variation in Bovine Neutrophil Sensitivity to Glucocorticoid Challenge

Blood neutrophils use CD62L and CD18 adhesion molecules to contact and migrate rapidly through blood vessels in defense against infections in underlying tissues. Previous work showed that glucocorticoid hormones repress expression of CD62L and CD18, causing neutrophilia and increased mastitis susceptibility in dairy cows. The aim of this study was to determine whether bovine neutrophil sensitivity to glucocorticoids exhibits genetic variability. Test animals included 60 pedigreed Holstein bulls treated on 3 consecutive days with a synthetic glucocorticoid (dexamethasone) and five untreated control bulls. Five indicator traits of neutrophil glucocorticoid sensitivity were monitored, including circulating neutrophil counts and two measures on each of CD62L and CD18 expression. Random regression models with treatment-specific serial correlation were used to estimate genetic and non-genetic sources of variation before, during and after glucocorticoid administration. Significant genetic variation was observed for neutrophil CD18 expression, with longitudinal heritability estimates ranging from 0.10 to 0.54 and influenced by dexamethasone. Significant genetic variation was also observed for blood neutrophil counts (heritability estimates ranging from 0.11 to 0.24) but was not influenced by dexamethasone administration. Estimated genetic correlations between circulating neutrophil counts and various indicators of CD62L and CD18 expression were large and negative (-0.44 to - 0.78). These results imply significant genetic variability and pleiotropic effects for neutrophil traits that are important for stress-induced disease susceptibility in dairy cattle and might be exploited by genetic selection.