Characterization of porcine peripheral blood leukocytes by light-scattering flow cytometry.

As a basis for other experiments using flow cytometry of porcine peripheral blood leukocytes, cell fractions were isolated by various methods and analyzed by forward angle light scatter and 90 degree light scatter. Cytospin smears of cell samples were also studied by leukocyte differential counts and nonspecific esterase staining. Three main populations of peripheral blood leukocytes [lymphocytes, monocytes, and granulocytes (primarily neutrophils)], were defined in the log 90 degree light scatter by forward angle light scatter histogram. Partial overlap was observed between lymphocyte and monocyte, and between monocyte and granulocyte domains. Correlation between leukocyte differential counts and flow cytometric quantification based on bitmap statistics of appropriate domains was between r = 0.872-0.892 for lymphocyte and granulocyte. Percoll density gradients were used for subfractionation of leukocyte populations, especially for the enrichment of granulocytes. The specific densities were calculated for lymphocytes (1.0585-1.0819 g/cc), monocytes (1.0585-1.0702 g/cc), granulocyte (1.0819-1.0936 g/cc), and erythrocytes (greater than 1.0952 g/cc). We suggest that light scatter characterization is a basis for future studies of porcine blood by flow cytometry.     

Flow cytofluorometric characterization of bovine blood and milk leukocytes

Flow cytometry and sorting proved to be a rapid method that facilitated the identification of different leukocyte populations in bovine blood and milk. After briefly incubating whole blood and milk samples in a hypotonic phosphate buffer, containing supravital acridine orange, 5 classes of leukocytes were found in the blood (lymphocytes, neutrophils, eosinophils, basophils, and monocytes) and 4 in the milk (lymphocytes, neutrophils, monocytes, and macrophages) by flow cytometry. Cells were morphologically identified by fluorescent microscopy after flow cytometric sorting and by light microscopy after Papanicolaous staining. Udder parenchymal and ductal tissue cells (secretory and epithelial cells) were not found in the milk samples evaluated. Large differences in the total and differential cell counts were found in the different milk secretions.     

Flow cytometric evaluation of canine bone marrow based on intracytoplasmic complexity and CD45 expression

BACKGROUND: Because of the complexity, subjectivity, time, and technical skill required for determination of manual bone marrow differential cell counts, an alternative method is needed. Several flow cytometric methods have been described, but all have limitations. OBJECTIVE: The purpose of this study was to evaluate a technique for bone marrow differential cell counting based on flow cytometric evaluation of CD45 expression and intracellular complexity (CD45 scatter plots). METHODS: Bone marrow was obtained from 15 dogs that were being evaluated for hematologic disorders. In preliminary studies, the location of bone marrow subpopulations in the CD45 scatter plots was evaluated by labeling bone marrow with lineage-specific markers. A template was developed to identify these cell populations. Gates were set to identify granulocytes, myeloblasts, monocyte/macrophages, lymphocytes, and nucleated erythroid populations. RESULTS: The CD45 labeling technique accurately quantified granulocytes, myeloblasts, erythroid precursors, and lymphocytes in canine bone marrow. Correlation coefficients with manual counts for granulocytes, myeloblasts, erythroid cells, lymphocytes, and monocyte/macrophages were 0.90, 0.89, 0.96, 0.91, and 0.54, respectively. CONCLUSIONS: The capacity of the CD45 scatter-plot technique to quantify lymphocytes and myeloblasts is an advantage over previously described techniques. The simplicity of the CD45 labeling method and the ease with which batches of samples can be analyzed makes the technique potentially applicable as a routine test in clinical and research laboratories.     

Counting absolute number of lymphocytes in quail whole blood by flow cytometry

In a previous study, we reported a new method for counting quail blood cells. After quail blood cells were stained with fluorescent lipophilic dye (DiOC6(3)), absolute counts of erythrocytes, granulocytes, and monocytes were obtained by means of flow cytometry (FC). The FC method has the potential for application to avian blood cells count; however, the method was unable to distinguish between lymphocytes and thrombocytes. In the present study, we improved the FC method to obtain separate counts of lymphocytes using DiOC5(3). After quail blood cells were stained with DiOC5(3), the cells were measured with FC. Each blood cell type was distinguished by means of their typical FL-1 (green fluorescence) and SSC (side scatter). Absolute numbers of erythrocytes, granulocytes, monocytes and lymphocytes in whole blood were obtained. The improved FC analysis worked equally well with chicken (Gallus gallus) and goose (Anser cygnoides) blood.     

The variations of white blood cell count in Lipizzan horses

Total and differential leucocyte counts (lymphocytes, neutrophils, monocytes, eosinophils and basophils) were measured in 140 stallions, 101 mares and 25 foals of Lipizzan breed. The values fell in the normal ranges for warm-blooded horses. Differences between mares and stallions were not significant with the exception of foals, having higher white blood cell, neutrophil, lymphocyte, monocyte and basophil values in females than in males. Foals exhibited an age-related increase of total leucocyte count during the first 4 months of life, accompanied by a decrease in neutrophil and increase in lymphocyte and eosinophil counts. In mares and stallions, the total number of leucocytes, lymphocytes, monocytes and basophils significantly decreased but the number of neutrophils and eosinophils remained almost unchanged with age gain.     

Comparison of white blood cell differential percentages determined by the in-house LaserCyte hematology analyzer and a manual method

BACKGROUND: The LaserCyte hematology analyzer (IDEXX Laboratories, Chalfont St. Peter, Bucks, UK) is the first in-house laser-based single channel flow cytometer designed specifically for veterinary practice. The instrument provides a full hematologic analysis including a 5-part WBC differential (LC-diff%). We are unaware of published studies comparing LC-diff% results to those determined by other methods used in practice. OBJECTIVE: To compare LC-diff% results to those obtained by a manual differential cell count (M-diff%). METHODS: Eighty-six venous blood samples from 44 dogs and 42 cats were collected into EDTA tubes at the Forest Veterinary Centre (Epping, UK). Samples were analyzed using the LaserCyte within 1 hour of collection. Unstained blood smears were then posted to Langford Veterinary Diagnostics, University of Bristol, and stained with modified Wright's stain. One hundred-cell manual differential counts were performed by 2 technicians and the mean percentage was calculated for each cell type. Data (LC-diff% vs M-diff%) were analyzed using Wilcoxon signed rank tests, Deming regression, and Bland-Altman difference plots. RESULTS: Significant differences between methods were found for neutrophil and monocyte percentages in samples from dogs and cats and for eosinophil percentage in samples from cats. Correlations (r) (canine/feline) were .55/.72 for neutrophils, .76/.69 for lymphocytes, .05/.29 for monocytes and .60/.82 for eosinophils. Agreement between LC-diff% and Mdiff% results was poor in samples from both species. Bland-Altman plots revealed outliers in samples with atypical WBCs (1 cat), leukocytosis (2 dogs, 9 cats), and leukopenia (16 dogs, 11 cats). The LaserCyte generated error flags in 28 of 86 (32.6%) samples, included 7 with leukopenia, 8 with lymphopenia, 7 with leukocytosis, 1 with anemia, and 1 with erythrocytosis. When results from these 28 samples were excluded, correlations from the remaining nonflagged results (canine/feline) were .63/.65 for neutrophils, .67/.65 for lymphocytes, .11/.33 for monocytes, and .63/.82 for eosinophils. CONCLUSION: Although use of a 100-cell (vs 200-cell) M-diff% may be a limitation of our study, good correlation between WBC differentials obtained using the LaserCyte and the manual method was achieved only for feline eosinophils.     

Evaluation of antineutrophil IgG antibodies in persistently neutropenic dogs

BACKGROUND: Immune-mediated neutropenia (IMN) is one of several causes of persistent neutropenia in dogs. A test to detect IMN in dogs is not available. HYPOTHESIS: A flow cytometric immunofluorescence assay will provide a sensitive method for detection of antineutrophil antibodies in dogs. ANIMALS: The study included 12 neutropenic dogs and 20 healthy dogs. METHODS: An indirect immunofluorescence assay was used to detect immunoglobulin G (IgG) binding to dog neutrophils. Leukoagglutination was evaluated by light microscopy. Neutrophil distribution in scatter plots, neutrophil fluorescence intensity, and the percentage of neutrophils with increased fluorescence intensity was evaluated by use of flow cytometry. RESULTS: Antineutrophil antibodies were detected in the serum of 5 of 6 dogs with a clinical diagnosis of IMN. Leukoagglutination was present in 3 dogs. Four dogs had altered neutrophil distribution in forward-angle versus side-angle light scatter plots. Five of 6 dogs had increased neutrophil fluorescence intensity and 4 of 6 dogs had an increased percentage of neutrophils with increased fluorescence intensity. CONCLUSIONS AND CLINICAL IMPORTANCE: The flow cytometric test for antineutrophil antibodies detects dogs with a clinical diagnosis of IMN. Testing for antineutrophil antibodies should include observation for leukoagglutination, observation of scatter plots for altered distribution of the neutrophil population, observation of the shape of the fluorescence histogram, determination of neutrophil fluorescence intensity, and determination of the percentage of neutrophils with increased fluorescence intensity.     

Determination of differential cell counts in feline bone marrow by use of flow cytometry

OBJECTIVE: To evaluate the potential usefulness of 2 flow cytometric methods for determination of differential cell counts in feline bone marrow. SAMPLE POPULATION: 10 bone marrow specimens from client-owned cats. PROCEDURE: Bone marrow specimens were stained with 3,3'-dihexyloxacarbocyanine iodide (DiOC6) and evaluated by use of flow cytometry. Differential counts were also determined by analysis of scatterplots of forward-angle versus side-angle light scatter of unstained specimens, obtained by use of flow cytometry (scatterplot method). Results of both flow cytometric methods were compared with differential cell counts determined by manually counting 1,000 cells on slides of Wright-stained smears. RESULTS: Staining with DiOC6 resulted in identification of mature and immature erythroid and myeloid cells and lymphocytes. Use of the scatterplot method resulted in identification of mature and immature erythroid and myeloid cells and metamyelocytes. However, to identify lymphocytes by use of the scatterplot method, bone marrow specimens were first labeled with an anti-major histocompatability class-II antibody. Comparison of results of the scatterplot method with manual counts yielded higher correlation coefficients and more similar mean values than did comparison of results of the DiOC6 method. Conclusions and Clinical Relevance: The scatterplot method provided more accurate and precise results than the DiOC6 method for determination of bone marrow differential cell counts in cats by use of flow cytometry. When combined with fluorescent labeling of lymphocytes, the scatterplot method has potential to provide rapid semiquantitative assessment of bone marrow differential cell counts in cats.     

动物细胞大规模培养中细胞凋亡检测方法的研究

为了探讨动物细胞大规模培养中细胞凋亡的检测方法,以不同浓度氯化铵诱导BHK-21细胞凋亡,每隔12 h收集细胞,采用台盼兰形态学排染法、吖啶橙和溴化乙锭双重荧光染色法、FITC-Annexin V/PI双染色荧光显微镜观察法、原位缺口末端标记法(TUNEL)、DNA凝胶电泳、流式细胞术(FCM)法进行细胞凋亡的检测。通过比较发现,不同方法检测结果都存在着显著性差异,但吖啶橙和溴化乙锭双重荧光染色法是一种简单、易行、准确、全面定性细胞凋亡的较为可靠的方法,而FITC-Annexin V/PI双染色流式细胞仪能特异地、准确地检出早期凋亡的细胞,是较为理想的凋亡定量检测方法。这2种方法的联合运用更适应于动物细胞大规模培养过程中细胞凋亡的检测。     

Validation of the Sysmex XT‐2000iV hematology system for dogs,cats, and horses. II. Differential leukocyte counts

Background: The Sysmex XT‐2000iV is a laser‐based, flow cytometric hematology system that stains nucleic acids in leukocytes with a fluorescent dye. A 4‐part differential is obtained using side fluorescence light and laser side scatter. Objective: The purpose of this study was to validate the Sysmex XT‐2000iV for determining differential leukocyte counts in blood from ill dogs, cats, and horses. Methods: Blood samples from diseased animals (133 dogs, 65 cats, and 73 horses) were analyzed with the Sysmex XT‐2000iV (Auto‐diff) and the CELL‐DYN 3500. Manual differentials were obtained by counting 100 leukocytes in Wright‐stained blood smears. Results: Leukocyte populations in the Sysmex DIFF scattergram were usually well separated in equine samples, but were not as well separated in canine and feline samples. Correlation among the Sysmex XT‐2000iV, CELL‐DYN 3500, and manual counts was excellent for neutrophil counts (r ≥.97) and good for lymphocyte counts (r ≥.87) for all three species. Systematic differences between the 3 methods were seen for lymphocyte and monocyte counts. The Sysmex reported incomplete differential counts on 18% of feline, 13% of canine, and 3% of equine samples, often when a marked left shift (>10% bands) and/or toxic neutrophils were present. Eosinophils were readily identified in cytograms from all 3 species. Neither the Sysmex nor the CELL‐DYN detected basophils in the 7 dogs and 5 cats with basophilia. Conclusions: The Sysmex XT‐2000iV automated differential leukocyte count performed well with most samples from diseased dogs, cats, and horses. Basophils were not detected. Immature neutrophils or prominent toxic changes often induced errors in samples from cats and dogs.     

Differences in leukocyte differentiation molecule abundances on domestic sheep (Ovis aries) and bighorn sheep (Ovis canadensis) neutrophils identified by flow cytometry

Although both domestic sheep (DS) and bighorn sheep (BHS) are affected by similar respiratory bacterial pathogens, experimental and field data indicate BHS are more susceptible to pneumonia. Cross-reactive monoclonal antibodies (mAbs) for use in flow cytometry (FC) are valuable reagents for interspecies comparative immune system analyses. This study describes cross-reactive mAbs that recognize leukocyte differentiation molecules (LDMs) and major histocompatibility complex antigens on DS and BHS leukocytes. Characterization of multichannel eosinophil autofluorescence in this study permitted cell-type specific gating of granulocytes for evaluating LDMs, specifically on neutrophils, by single-label FC. Evaluation of relative abundances of LDMs by flow cytometry revealed greater CD11a, CD11b, CD18 (β₂ integrins) and CD 172a (SIRPα) on DS neutrophils and greater CD14 (lipopolysaccharide receptor) on BHS neutrophils. Greater CD25 (IL-2) was identified on BHS lymphocytes following Concavalin A stimulation. While DS and BHS have similar total peripheral blood leukocyte counts, BHS have proportionately more neutrophils.     

Flow cytometric evaluation of hemophagocytic disorders in canine

Background — Hemophagocytic macrophages in canine bone marrow are observed in malignant histiocytosis as well as benign hemophagocytic histiocytosis. Cytomorphologic evaluation alone may be inadequate to consistently differentiate between benign and malignant forms of hemophagocytic disorders. Objective — The purpose of this study was to evaluate the ability of flow cytometry and immunophenotyping to differentiate between benign and malignant types of hemophagocytic disorders in dogs. Methods — Blood smears and bone marrow differential cell counts were evaluated for 10 dogs with hemophagocytic disorders. Bone marrow samples were labeled with monoclonal antibodies to CD18, MCH class‐II, Thy‐1, CD14, CD3, and CD21. Using flow cytometry, forward‐angle versus side‐angle light scatter plots were analyzed and immunophenotypes were determined. Results — Scatter plots from 3 dogs with a necropsy diagnosis of malignant histiocytosis revealed 2 atypical cell clusters. One cluster contained cells of similar size or larger than immature myeloid cells and metamyelocytes. Cells in the other cluster were highly granular, with granularity similar to or greater than that of metamyelocytes. In bone marrow from dogs with malignant histiocytosis that was labeled with anti‐CD14 antibody, macrophages represented 29–48% of nucleated cells. Seven dogs had a clinical or histopathologic diagnosis of benign hemophagocytic syndrome. Three of the dogs had normal cell distribution in scatter plots. Two dogs had 2 abnormal cell clusters: 1 within the immature myeloid and metamyelocyte gates and the other with granularity similar to or greater than that of metamyelocytes. The remaining 2 dogs had an atypical cell population, mostly within the immature myeloid gate. For dogs with benign hemophagocytic syndromes, 6–17% of cells in the bone marrow were CD14 positive. Conclusions — The cellular distribution in scatter plots and the total number of macrophages in bone marrow may be useful in differentiating malignant histiocytosis from benign hemophagocytic syndromes in dogs.     

Comparison of analysis of bovine surface immunoglobulin bearing and peanut agglutinin binding lymphocytes by flow cytometry and fluorescence microscopy

Bovine peripheral blood lymphocytes were examined for their binding to anti-immunoglobulin serum, peanut agglutinin, and mu, alpha, and epsilon heavy chain specific antisera by immunofluorescence. The percentage of total lymphocytes with positive staining was determined independently by flow cytometry and fluorescence microscopy. The correlation of data from both methods was best for analysis of total surface immunoglobulin and IgM bearing cells. The percentage of lymphocytes bearing surface immunoglobulin (B cells) was determined using both whole antiserum and a F(ab')2 reagent. Quantitation by flow cytometry did not show a significant difference when the two reagents were used, whereas fluorescence microscopy revealed a significant difference (p less than .05). The mean percent of total surface immunoglobulin bearing cells was 30 +/- 3% by either method. Flow cytometry gave significantly larger values than fluorescence microscopy for samples stained with fluorescein conjugated peanut agglutinin. Peanut agglutinin binding cells comprised 70 +/- 3% by flow cytometry and 51 +/- 3% by fluorescence microscopy. Similarly, there was a significant difference between both methods when IgA bearing lymphocytes were examined. Percentages of immunoglobulin E, A, and M bearing lymphocytes as well as total B and T cells in spleen and bronchial lymph node were determined by immunofluorescence using the cytofluorograph. Peanut agglutinin binding cells were less numerous in spleen and lymph node than in peripheral blood. Immunoglobulin E bearing lymphocytes increased from 0.07% in peripheral blood to 4% in spleen and 1.9% in lymph node. In this paper we demonstrate how flow cytometry can be used to examine a large number of samples in a rapid and reproducible manner. This is the first report in which bovine lymphocytes bearing surface IgE are quantitated.     

Differential leukocyte counts determined in chicken blood using the Cell-Dyn 3500

Background: Automated hematology instruments commonly are used for mammalian blood analysis, but there is a lack of accurate automated methods available for avian leukocyte analysis. Objective: The aim of this study was to validate differential leukocyte counts in blood from chickens using the Cell-Dyn 3500 hematology system and avian-specific software.
Methods: Blood samples were collected in lithium-heparin tubes from 2 groups (n = 84 and n = 139) of laying hens. Manual 200-cell differential counts were done on routinely-stained blood smears, and manual total granulocyte counts (heterophils and eosinophils) were done using an eosinophil stain in a counting chamber. Automated differential counts were done using VET 2.3, a research and development version of avian-specific software for the Cell-Dyn 3500. Results were analyzed using Pearson's correlation and difference plots.
Results: Automated granulocyte counts from the Cell-Dyn were in good agreement with manual granulocyte counts ( r = 0.93 and 0.80 for the 2 study groups). No correlation was found between automated and manual lymphocyte counts. Correlation coefficients for monocyte counts were 0.70 and 0.43. Conclusion: Automated leukocyte results from the Cell-Dyn using VET 2.3 software were not fully accurate. Total granulocyte counts may be of clinical usefulness, but results obtained for other parameters were unreliable.     

The importance of manual white blood cell differential counts and platelet estimates in elephant hematology: blood film review is essential

Unique features of elephant hematology are known challenges in analytical methodology like two types of monocytes typical for members of the Order Afrotheria and platelet counts of the comparatively small elephant platelet. To investigate WBC differential and platelet data generated by an impedance-based hematology analyzer without availability of validated species-specific software for recognition of elephant WBCs and platelets, compared to manual blood film review. Blood samples preserved in ethylenediaminetetraacetic acid (EDTA) of 50 elephants (n = 35 Elephas maximus and n = 15 Loxodonta africana) were used. A Mann-Whitney test for independent samples was used to compare parameters between methods and agreement was tested using Bland-Altman bias plots. All hematological variables, including absolute numbers of heterophils, lymphocytes, monocytes, eosinophils, basophils, and platelets, were significantly different (p < 0.0001) between both methods of analysis, and there was no agreement using Bland-Altman bias plots. Manual review consistently produced higher heterophil and monocyte counts as well as platelet estimates, while the automated analyzer produced higher lymphocyte, eosinophil, and basophil counts. The hematology analyzer did not properly differentiate elephant lymphocytes and monocytes, and did not accurately count elephant platelets. These findings emphasize the importance of manual blood film review as part of elephant complete blood counts in both clinical and research settings and as a basis for the development of hematological reference intervals.     

Changes in peripheral blood leucocyte counts and subpopulations after experimental infection with BVDV and/or Mannheimia haemolytica

Leucocyte counts and subpopulations were studied in peripheral blood from calves experimentally infected in the respiratory tract with either bovine virus diarrhoea virus (BVDV) or Mannheimia haemolytica (Mh), or with a combination of both agents (BVDV/Mh). A non-inoculated control group was included. Peripheral blood samples were obtained for total leucocyte counts, and for neutrophil, lymphocyte and monocyte counts. The numbers of blood lymphocytes expressing the surface antigens CD4, CD8, WC1, B and IL-2R were analysed using flow cytometry. The results showed that BVDV inoculation induced a significant decrease in total leucocyte counts and in neutrophil and lymphocyte numbers, while Mh inoculation induced significant increases in total leucocyte counts and neutrophils, while the lymphocyte count decreased. In the BVDV/Mh group, the total leucocyte count and the lymphocyte numbers decreased significantly. In this group, the lymphocyte numbers remained on a very low level throughout the rest of the study. The numbers of CD4+, CD8+ and WC1+ lymphocytes decreased significantly compared with before inoculations mainly in the BVDV and BVDV/Mh groups. The drops were most pronounced in the BVDV/Mh group. The numbers of B+ lymphocytes and IL-2R+ cells did not change significantly.     

Innate immune traits differ between Meishan and Large White pigs

A panel of innate immune traits were compared between Meishan and Large White pigs. These pigs were of similar age and kept under the same environmental conditions to reduce non-genetically derived variation in immune traits. The animals were all apparently healthy and were not experimentally challenged with any pathogen during the study. The measures only required a small blood sample. Total white cell counts were similar between the pig breeds. However, the numbers of lymphocytes, neutrophils and monocytes differed significantly, with Meishans having higher neutrophil and monocyte counts and lower lymphocyte counts. Flow cytometric methods were used to determine quantitatively the characteristics and function of neutrophils and monocytes. Meishan neutrophils were smaller and less complex than Large White neutrophils, and phagocytosis of Escherichia coli and the ensuing oxidative burst was lower in Meishan neutrophils compared to Large White neutrophils. Monocyte phagocytosis of E. coli was significantly less than that of neutrophils in both breeds but the function of Meishan monocytes as measured by phagocytosis and tumour necrosis factor alpha (TNFalpha) release did not differ from that of Large White monocytes. Levels of acute phase proteins also differed between the breeds with a significantly higher proportion of Meishans having elevated serum amyloid A levels. However, Meishans had lower alpha(1)-acid glycoprotein levels than Large Whites and haptoglobin levels were similar. Such differences in innate immune traits may have implications in the resistance to infection by a broad range of pathogens and subsequent disease effects in these breeds. Further studies are warranted to investigate the genes underlying these traits.     

Phagocytic and nitroblue tetrazolium reductive properties of mature and immature neutrophils and eosinophils from blood and bone marrow from cows

Functional capabilities of morphologically mature (segmented) and immature granulocytes (neutrophils and eosinophils) from bone marrow from cows were studied and compared with similar activities of segmented granulocytes from blood. Phagocytosis of Escherichia coli and postphagocytic oxidative metabolic stimulation, measured by nitroblue tetrazolium (NBT) reduction, were evaluated simultaneously. Phagocytosis was observed readily in segmented neutrophils, neutrophilic bands, and metamyelocytes and rarely in myelocytes. Phagocytosis was not seen in promyelocytes and myeloblasts. Neutrophilic bands and metamyelocytes were phagocytically less active than were segmented neutrophils. Washed segmented bone marrow neutrophils possessed phagocytic activity similar to that of blood neutrophils, whereas the activity of unwashed segmented bone marrow neutrophils was markedly less than that of blood neutrophils. Reduction of NBT was observed only in blood segmented neutrophils and bone marrow segmented neutrophils; the magnitude of NBT reduction was significantly (P = less than 0.005) less in bone marrow neutrophils than in blood neutrophils. Eosinophils were phagocytically less competent than were neutrophils. The NBT reduction was observed only in eosinophils from blood, but not in eosinophils from bone marrow.     

Flow cytometry evaluation of testicular and sperm cells obtained from bulls implanted with zeranol

Flow cytometry of testicular and sperm cells was used to evaluate effects of pre-weaning zeranol implants on spermatogenesis. Forty five Angus-Simmental bulls were randomly assigned to three treatment groups of 15 bulls each: no implant, one implant at 30 d of age and two implants, one at 30 and the second at 120 d of age. Prior to slaughter at approximately 15 mo, semen was collected from 30 bulls, 10 of each group. Following slaughter, testes were weighed, and testicular biopsies and vas deferens sperm obtained from the same 30 bulls. Testicular and sperm cells were stained with acridine orange and measured by flow cytometry. Proportions of testicular haploid, diploid and tetraploid cells were determined by relative amounts of green (DNA) and red (RNA) fluorescence. Treatment of sperm at low pH prior to acridine orange staining potentially induces partial denaturation of DNA, detectable by the metachromatic shift from green (native DNA) to red (single-stranded DNA) fluorescence. The effect of this shift was quantified by alpha-t [alpha t = red/red + green) fluorescence]. Nonimplanted bulls had heavier (P less than .01) testicular weights than treated bulls. The proportion of haploid cells was greater (P less than .02) and diploid cells less (P less than .03) in testes of nonimplanted bulls. Sperm from implanted bulls had altered chromatin structure, indicated by higher (P less than .05) alpha t values. Flow cytometry is an effective means for detecting changes in testicular cell subpopulations and chromatin structure of sperm.     

Flow cytometric evaluation of canine bone marrow differential cell counts

Abstract: Three flow cytometric techniques were evaluated for determination of differential cell counts on canine clinical bone marrow specimens. Techniques included staining bone marrow specimens with 2'7'-dichlo-rofluorescein (DCF) or 3,3'-dihexyloxacarbocyanine iodide (DiOC6) and evaluation of forward-angle light scatter vs. side-angle light scatter plots. Flow cytometric evaluation of bone marrow cells stained with DCF failed to separate bone marrow cells into distinct cell populations. Staining with DiOC6 resulted in separation of bone marrow cells into populations of mature and immature erythroid cells, mature and immature myeloid cells, and lymphocytes. The scatter plot method resulted in identification of mature and immature erythroid cells, immature myeloid cells, metamyelocytes, and bands and segmenters. Lymphocytes could not be differentiated from mature erythroid cells by the scatter plot method. When the results of the DiOC6 method and the scatter plot method were compared with manual bone marrow differential cell counts, the scatter plot method had more similar mean values and higher correlation coefficients. The scatter plot method has the potential of providing rapid semiquantitative assessment of bone marrow differential cell counts in dogs for specimens that contain low numbers of lymphocytes.