mouse anti cd41 cd61 antibody Search Results


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Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
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Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
Cd41 Cd61, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
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Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
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Santa Cruz Biotechnology fitc anti human cd41 cd61 pac1
Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
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Becton Dickinson fitc anti-human cd41/cd61 (pac-1)
Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured <t>(CD45+CD41/61−).</t> Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).
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Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured (CD45+CD41/61−). Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).

Journal: Animals : an Open Access Journal from MDPI

Article Title: Effect of Salmonella Typhimurium Colonization on Microbiota Maturation and Blood Leukocyte Populations in Broiler Chickens

doi: 10.3390/ani12202867

Figure Lengend Snippet: Characterization of temporal shifts in the proportions of chicken leukocyte populations. Whole blood, collected from 10 control birds at each time point, was subjected to flow cytometry to identify changes in leukocyte subpopulations. Results are shown as the percent of total leukocytes measured (CD45+CD41/61−). Significant differences were determined using Two-way ANOVA, and pairwise comparisons were completed using Tukey HSD. Results were considered significantly different at a p < 0.05. Significant difference for each cell type are indicated by asterisks color-coded to match the cell type (* = p < 0.05, ** = p < 0.01, *** = p < 0.001, **** = p < 0.0001).

Article Snippet: Four combinations of mouse-anti-chicken antibodies were used to identify (1) thrombocytes and leukocytes: SPRD-CD45 (LT40) and FITC-CD41/61 (11C3, Bio-Rad, Hercules, CA, USA), (2) T cells: PE-γδTCR (TCR1), FITC-CD4 (CT-4), and SPRD-D8α (CT-8), (3) αβ T-cells and γδ T-cells: PE-γδTCR (TCR1), FITC-αβTCR (αβ1 (TCR2) and αβ2 (TCR3)), and SPRD-CD45 (LT40), (4) B cells, monocytes, and heterophils: SPRD-CD45 (LT40), FITC-KUL01 (KUL01), and PE-Bu1 (AV20).

Techniques: Flow Cytometry