ERYTHROGRAM PROFILE DURING POSTPARTUM PERIOD IN HOLSTEIN COWS

With the intention to evaluate the erythrogram profile during postpartum period in Holstein cows, 142 blood samples were collected from cows during the first 90 days after parturition. Blood samples were collected from clinically healthy cows that were non-reactive to the antigen of bovine leukosis virus (GP 51). These animals were divided into nine experimental groups based on the time of the postpartum sample collection. The blood samples were collected with EDTA and submitted to the following tests: erythrocyte counts, packed cell volume, hemoglobin concentration and calculated blood indices (MCV, MCH, MCHC). There was influence of the postpartum period on the erythrogram. These alterations were observed during the first 24 h after parturition. The hemoconcentration observed during the parturition disappeared during the first 24h of postpartum. Variation of the values were observed: red blood, 5.08 +/- 0.60 and 6.11 +/- 0.72 cells /mu L; hemoglobin concentration, 9.85 +/- 1.6 and 11.46 +/- 1,40 g/dL; packed cell volume, 27.9 +/- 3.3 and 31.9 +/- 3.6 %; MVC, 50.10 +/- 5.90 and 55.27 +/- 6.88 fL; MHC, 18.19 +/- 1.63 and 19.50 +/- 2.76 pg; MCHC, 34.83 +/- 2.07 and 36.88 +/- 1.67 %. The values of the hematological components obtained in this study did not exceed the limits of the reference values, obtained from cows raised within the state of Sao Paulo.

Global gene expression profiling of oral cavity cancers suggests molecular heterogeneity within anatomic subsites

Abstract Background Oral squamous cell carcinoma (OSCC) is a frequent neoplasm, which is usually aggressive and has unpredictable biological behavior and unfavorable prognosis. The comprehension of the molecular basis of this variability should lead to the development of targeted therapies as well as to improvements in specificity and sensitivity of diagnosis. Results Samples of primary OSCCs and their corresponding surgical margins were obtained from male patients during surgery and their gene expression profiles were screened using whole-genome microarray technology. Hierarchical clustering and Principal Components Analysis were used for data visualization and One-way Analysis of Variance was used to identify differentially expressed genes. Samples clustered mostly according to disease subsite, suggesting molecular heterogeneity within tumor stages. In order to corroborate our results, two publicly available datasets of microarray experiments were assessed. We found significant molecular differences between OSCC anatomic subsites concerning groups of genes presently or potentially important for drug development, including mRNA processing, cytoskeleton organization and biogenesis, metabolic process, cell cycle and apoptosis. Conclusion Our results corroborate literature data on molecular heterogeneity of OSCCs. Differences between disease subsites and among samples belonging to the same TNM class highlight the importance of gene expression-based classification and challenge the development of targeted therapies.